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Sample records for learning style classification

  1. A deep learning pipeline for Indian dance style classification

    Science.gov (United States)

    Dewan, Swati; Agarwal, Shubham; Singh, Navjyoti

    2018-04-01

    In this paper, we address the problem of dance style classification to classify Indian dance or any dance in general. We propose a 3-step deep learning pipeline. First, we extract 14 essential joint locations of the dancer from each video frame, this helps us to derive any body region location within the frame, we use this in the second step which forms the main part of our pipeline. Here, we divide the dancer into regions of important motion in each video frame. We then extract patches centered at these regions. Main discriminative motion is captured in these patches. We stack the features from all such patches of a frame into a single vector and form our hierarchical dance pose descriptor. Finally, in the third step, we build a high level representation of the dance video using the hierarchical descriptors and train it using a Recurrent Neural Network (RNN) for classification. Our novelty also lies in the way we use multiple representations for a single video. This helps us to: (1) Overcome the RNN limitation of learning small sequences over big sequences such as dance; (2) Extract more data from the available dataset for effective deep learning by training multiple representations. Our contributions in this paper are three-folds: (1) We provide a deep learning pipeline for classification of any form of dance; (2) We prove that a segmented representation of a dance video works well with sequence learning techniques for recognition purposes; (3) We extend and refine the ICD dataset and provide a new dataset for evaluation of dance. Our model performs comparable or better in some cases than the state-of-the-art on action recognition benchmarks.

  2. A Review of Learning Styles for Korean Learners of Japanese as a Foreign Language : Focused on Experiential Learning Theory of Kolb

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    朴, 志仙

    2008-01-01

    Learning styles have lately attracted considerable attention as a measure which elucidates the influence of individuality on learning. In this article, the concept of learning styles are defined, and earlier literatures concerning learning styles are surveyed, based mainly on Reid's (1995) classification. They are categorized as 3 types; sensory learning style, affective learning style, and cognitive learning style. After that, the learning styles of Korean learners are reviewed. The studies ...

  3. Learning Styles.

    Science.gov (United States)

    Missouri Univ., Columbia. Coll. of Education.

    Information is provided regarding major learning styles and other factors important to student learning. Several typically asked questions are presented regarding different learning styles (visual, auditory, tactile and kinesthetic, and multisensory learning), associated considerations, determining individuals' learning styles, and appropriate…

  4. Learning styles of postgraduate and undergraduate medical students.

    Science.gov (United States)

    Shukr, Irfan; Zainab, Roop; Rana, Mowadat H

    2013-01-01

    To compare learning styles of undergraduate and postgraduate medical students. Observational, comparative study. Department of Medical Education, Army Medical College, NUST, Rawalpindi, Pakistan, during February and March 2012. A total of 170 students were divided into two equal groups of undergraduate students of Army Medical College, and postgraduate students of Armed Forces Post Graduate Medical Institute, Rawalpindi. Learning Style Questionnaire (LSQ) was used to assess and categorize the participants into Honey and Mumford classification of learning styles. The responses of each student ranging from 'very strong,' 'strong', 'moderate', and 'low' preference towards activist, theorist, reflector and pragmatist learning styles were compiled. The two groups were compared using SPSS version 17, using Fisher's exact test and the chi-square test. A p-value of $lt; 0.05 was considered significant. Preferences for all four learning styles were present in both groups. The results reveal an overall statistically significant difference in the 'very strong' preference in learning styles between the two study groups (p=0.002). Among the undergraduate students, 45% had a very strong preference for being an activist, whereas in postgraduate students, 38% had very strong preference for reflector, and 35% for theorist. This was statistically significant for activist, and reflector, and attained a p-value of learning style was pragmatist in both undergraduate and postgraduate students. Diversity of learning styles at undergraduate and postgraduate level of medical education calls for multiplicity of instructional and assessment modalities to match them. The learning styles amongst the undergraduate medical students are different from the postgraduates. The postgraduates commonly have the reflector learning style while the undergraduates are predominantly activists and theorists.

  5. Assessing learning styles of Saudi dental students using Kolb's Learning Style Inventory.

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    ALQahtani, Dalal A; Al-Gahtani, Sara M

    2014-06-01

    Experiential learning theory (ELT), a theory developed by David Kolb that considers experience to be very important for learning, classifies learners into four categories: Divergers, Assimilators, Convergers, and Accommodators. Kolb used his Learning Style Inventory (LSI) to validate ELT. Knowing the learning styles of students facilitates their understanding of themselves and thereby increases teaching efficiency. Few studies have been conducted that investigate learning preferences of students in the field of dentistry. This study was designed to distinguish learning styles among Saudi dental students and interns utilizing Kolb's LSI. The survey had a response rate of 62 percent (424 of 685 dental students), but surveys with incomplete answers or errors were excluded, resulting in 291 usable surveys (42 percent of the student population). The independent variables of this study were gender, clinical experience level, academic achievement as measured by grade point average (GPA), and specialty interest. The Diverging learning style was the dominant style among those in the sample. While the students preferred the Assimilating style during their early preclinical years, they preferred the Diverging style during their later clinical years. No associations were found between students' learning style and their gender, GPA, or specialty interest. Further research is needed to support these findings and demonstrate the impact of learning styles on dental students' learning.

  6. Modeling student's learning styles in web 2.0 learning systems

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    Ramon Cabada Zatarain Cabada, M. L. Barron Estrada, L. Zepeda Sanchez, Guillermo Sandoval, J.M. Osorio Velazquez, J.E. Urias Barrientos

    2009-12-01

    Full Text Available The identification of the best learning style in an Intelligent Tutoring System must be considered essential as part of thesuccess in the teaching process. In many implementations of automatic classifiers finding the right student learning styler e p r e s e n t s t h e h a r d e s t a s s i g n m e n t . T h e r e a s o n i s t h a t m o s t o f t h e t e c h n i q u e s w o r k u s i n g e x p e r t g r o u p s o r a s e t o fquestionnaires which define how the learning styles are assigned to students. This paper presents a novel approach forautomatic learning styles classification using a Kohonen network. The approach is used by an author tool for buildingIntelligent Tutoring Systems running under a Web 2.0 collaborative learning platform. The tutoring systems together withthe neural network can also be exported to mobile devices. We present different results to the approach working under theauthor tool.

  7. Teaching Styles, Learning Styles and the ESP Classroom

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    Mei Ph’ng Lee

    2018-01-01

    Full Text Available Learner diversity that exists in the classroom plays a role in influencing the teaching and learning process in the classroom. It should be acknowledged in order for the teaching and learning process to be a meaningful and effective process. Thus, this study examined the learning styles preference of engineering students and the teaching styles preferences of their Technical Communication lecturers. The study also looked at whether the students’ learning styles preferences were influenced by their field of study, gender and ethnic backgrounds. Felder and Solomon’s Index of Learning Styles was administered to 588 engineering students while Grasha and Riechmann-Hruska’s Teaching Style Survey was administered to 10 Technical Communication lecturers. The findings revealed that the students have a marked preference for the visual learning style but balanced preferences for the other learning styles dimensions. The students’ field of study, gender and ethnic backgrounds did not seem to influence the students’ learning styles preferences. As for their Technical Communication lecturers, they seem to favour the student-centered teaching approach. All the data support the notion of adopting a balanced teaching approach in the Technical Communication classroom.

  8. Assessing Experiential Learning Styles: A Methodological Reconstruction and Validation of the Kolb Learning Style Inventory

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    Manolis, Chris; Burns, David J.; Assudani, Rashmi; Chinta, Ravi

    2013-01-01

    To understand experiential learning, many have reiterated the need to be able to identify students' learning styles. Kolb's Learning Style Model is the most widely accepted learning style model and has received a substantial amount of empirical support. Kolb's Learning Style Inventory (LSI), although one of the most widely utilized instruments to…

  9. Nursing Students’ Preferred Learning Styles

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    Sh Salehi

    2009-11-01

    Full Text Available Background and purpose: Learning style is the processing of information and comprehension. If teachers present contents in a style that matches a student’s preferred learning style, academic performance and success will improve. If content retention improves it will result in an increase in thetest scores. It is also important to determine if students, as a group, fit into a particular style or a particular cycle as they move through an educational program.Methods: The study is a descriptive analytical research. Nursing Students at Isfahan Medical Sciences University completed a questionnaire  formulated to assess learning styles. Analysis of variance was used to investigate the possible relationship between learning cycle and student’s grades in the curriculum (i.e. freshman, sophomore, junior, or senior. Cross tabulation was used to test for a relationship between learning style and student academic year of study in the curriculum.Results: 294 students received the Kolb LSI questionnaire. The data demonstrated that juniors preferred a converger learning style and the senior students were in the abstract conceptualization cycle of learning. There were no relationships demonstrated between other groups in the study.Conclusion: The junior and senior students appear to prefer the stage of learning involving thinking and problem analysis. When a group of students demonstrate a preference for particular learning style teachers can develop their curriculum along their learning styleKey words: LEARNING STYLES, NURSING STUDENTS, FRESHMAN, SOPHOMORE, JUNIOR, SENIOR

  10. Learning Styles, Online Content Usage and Exam Performance in a Mixed-Format Introductory Computer Information Systems Course

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    Lang, Guido; O'Connell, Stephen D.

    2015-01-01

    We investigate the relationship between learning styles, online content usage and exam performance in an undergraduate introductory Computer Information Systems class comprised of both online video tutorials and in-person classes. Our findings suggest that, across students, (1) traditional learning style classification methodologies do not predict…

  11. Teaching for Different Learning Styles.

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    Cropper, Carolyn

    1994-01-01

    This study examined learning styles in 137 high ability fourth-grade students. All students were administered two learning styles inventories. Characteristics of students with the following learning styles are summarized: auditory language, visual language, auditory numerical, visual numerical, tactile concrete, individual learning, group…

  12. Learning styles in otolaryngology fellowships.

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    Varela, David A Diaz Voss; Malik, Mohammad U; Laeeq, Kulsoom; Pandian, Vinciya; Brown, David J; Weatherly, Robert A; Cummings, Charles W; Bhatti, Nasir I

    2011-12-01

    Previous studies have identified a predominant learning style in trainees from different specialties, more recently in otolaryngology residents. The purpose of our study was to determine a predominant learning style within otolaryngology fellowships and to identify any differences between otolaryngology fellows and residents. We conducted a survey of otolaryngology fellows at 25 otolaryngology fellowship programs accredited by the Accreditation Council for Graduate Medical Education. We emailed Kolb's Learning Style Index version 3.1 to 16 pediatric otolaryngology (PO) and 24 otology/neurotology (ON) fellows. This index is a widely used 12-item questionnaire. The participants answered each item in the questionnaire as it applied to their preferred learning style: accommodating, converging, diverging, or assimilating. Results were then analyzed and compared between each subspecialty and the previously reported preferred styles of otolaryngology residents. Ten PO and 20 ON fellows completed the survey, with an overall response rate of 75%. PO and ON fellows (60% of each group) preferred a learning style that was "balanced" across all four styles. For ON fellows, 35% preferred converging and 5% preferred accommodating styles. For PO fellows, converging and accommodating styles accounted for 20% each. It was previously reported that 74.4% of otolaryngology residents prefer either converging or accommodating styles. We believe that the fellowship training environment calls for fellows to use more than one learning style to become proficient physicians, hence the trend toward potentially developing a balanced style when at this level. Copyright © 2011 The American Laryngological, Rhinological, and Otological Society, Inc.

  13. Teaching and Learning Styles in Higher Education: Analysis of Student Teachers’ Preferences in an English Pedagogy Program at Three Chilean Universities

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    Constanza Rojas-Jara

    2016-09-01

    Full Text Available This paper shows the findings of a study conducted in three Chilean universities in 2014. It aims to analyze EFL student teachers’ preferences regarding their teaching and learning styles. 279 participants answered the teaching style inventory and 238 took the learning style questionnaire. These participants are first, third and fifth year student-teachers. This study uses Grasha and Riechman’s model to study teaching and learning styles. These authors propose a classification, cluster grouping and integrated clustering (Lewis, 2014; Grasha y Riechmann, 1975. The findings reveal that all student teachers favor the Facilitator teaching style and the Collaborative learning style.

  14. Do emergency medicine residents and faculty have similar learning styles when assessed with the Kolb learning style assessment tool?

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    Fredette, Jenna; O'Brien, Corinne; Poole, Christy; Nomura, Jason

    2015-04-01

    Experiential learning theory and the Kolb Learning Style Inventory (Kolb LSI) have influenced educators worldwide for decades. Knowledge of learning styles can create efficient learning environments, increase information retention, and improve learner satisfaction. Learning styles have been examined in medicine previously, but not specifically with Emergency Medicine (EM) residents and attendings. Using the Kolb LSI, the learning styles of Emergency Medicine residents and attendings were assessed. The findings showed that the majority of EM residents and attendings shared the accommodating learning style. This result was different than prior studies that found the majority of medical professionals had a converging learning style and other studies that found attendings often have different learning styles than residents. The issue of learning styles among emergency medical residents and attendings is important because learning style knowledge may have an impact on how a residency program structures curriculum and how EM residents are successfully, efficiently, and creatively educated.

  15. Conceptualizing On-the-Job Learning Styles

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    Berings, Marjolein G. M. C.; Poell, Rob F.; Simons, P. Robert-Jan

    2005-01-01

    The broad aims of this study are to gain insight into employees' on-the-job learning activities to help them improve their on-the-job learning. The authors define on-the-job learning styles and operationalize the concept to include both mental and overt learning styles and both interpersonal and intrapersonal learning styles. Organizations and…

  16. Profiling and Utilizing Learning Style. NASSP Learning Style Series.

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    Keefe, James W., Ed.

    In 1986, the National Association of Secondary School Principals, with the assistance of a national task force, published the NASSP Learning Style Profile (LSP) for diagnosis of the cognitive styles, perceptual response tendencies, and instructional preferences of middle level and senior high school students. This monograph offers a short course…

  17. Using data mining on student behavior and cognitive style data for improving e-learning systems: a case study

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    Milos Jovanovic

    2012-06-01

    Full Text Available In this research we applied classification models for prediction of studentsarsquo; performance, and cluster models for grouping students based on their cognitive styles in e-learning environment. Classification models described in this paper should help: teachers, students and business people, for early engaging with students who are likely to become excellent on a selected topic. Clustering students based on cognitive styles and their overall performance should enable better adaption of the learning materials with respect to their learning styles. The approach is tested using well-established data mining algorithms, and evaluated by several evaluation measures. Model building process included data preprocessing, parameter optimization and attribute selection steps, which enhanced the overall performance. Additionally we propose a Moodle module that allows automatic extraction of data needed for educational data mining analysis and deploys models developed in this study.

  18. LEARNING STYLE SEBAGAI UPAYA PENINGKATAN PRESTASI BELAJAR

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    Zalik Nuryana

    2017-12-01

    Full Text Available Learning is the basic human need to know something, whether packed formally or not. There is not one method that is appropriate and certainly appropriate with all students. Students have their own learning styles between one another can’t be equated. Real memorable learning comes from the will of the heart, not coercion. The uniqueness of each individual is what makes the variety of learning styles should be understood so that each student can overcome difficulties learning. In the implementation of learning many teachers doesn’t understand the learning style, so as to force students to always pay attention to the speech and explanation of teachers. The learning process will be effective if the method of learning  used can accommodate students. Research on the most appropriate teaching methods turns out to be a failure, because each teaching method depends on the way or style of the student in learning. This research was conducted in the school as a place of observation (field research by using a quantitative approach. Data were collected by questionnaires, observations, interviews, and document studies which were then processed and analytically analyzed descriptively. The results of research showed that a class can not be equally aligned using and applying a single learning method only. Because in the class there are several learning styles of students. The student's learning style visually dominates the class, followed by the auditorial style, and the kinesthetic style. This research also provides advice to educators / teachers to understand the diversity of student learning styles. so that with the basic teachers are required to be more creative and innovative in applying the method of learning so that all learning styles of students can be accommodated, so that with this understanding of learning achievement can be improved.

  19. Are Students' Learning Styles Discipline Specific?

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    Jones, Cheryl; Reichard, Carla; Mokhtari, Kouider

    2003-01-01

    This study examines the extent to which community college students' learning style preferences vary as a function of discipline. Reports significant differences in students' learning style preferences across disciplines, but not by gender. Adds that student learning style preferences varied by academic performance as measured by gender. Discusses…

  20. Profiling & Utilizing Learning Style.

    Science.gov (United States)

    Keefe, James W., Ed.

    The purpose of the National Association of Secondary School Principals (NASSP) Learning Style Profile is to provide educators with a well-validated and easy-to-use instrument for diagnosing the cognitive styles, perceptual response tendencies, and study/instructional preferences of middle level and senior high school students. The Learning Style…

  1. Styles and Style-Stretching: How are They Related to Successful Learning?

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    Griffiths, Carol; İnceçay, Görsev

    2016-06-01

    Although the learning style construct has aroused much interest over the years, questions remain regarding basic issues such as definition, the validity and/or reliability of various measurement instruments, and the relationship between learning style and successful learning. Furthermore, although maintaining stylistic flexibility is recommended by many authors, few studies have attempted to relate the style-stretching concept to successful learning. This study therefore attempted to address these questions. According to results, conducted among 106 Turkish university students, using an original instrument constructed using elements from established questionnaires, a small group of styles was significantly correlated with exam results, accounting for about a quarter of the variance (considered a large effect size in social science). In addition, higher-scoring students reported a more eclectic range of styles, suggesting more willingness to style-stretch, while lower-scoring students reported a more limited range. Pedagogical implications as well as areas for ongoing research are suggested.

  2. Learning styles of medical students - implications in education.

    Science.gov (United States)

    Buşan, Alina-Mihaela

    2014-01-01

    The term "learning style" refers to the fact that each person has a different way of accumulating knowledge. While some prefer listening to learn better, others need to write or they only need to read the text or see a picture to later remember. According to Fleming and Mills the learning styles can be classified in Visual, Auditory and Kinesthetic. There is no evidence that teaching according to the learning style can help a person, yet this cannot be ignored. In this study, a number of 230 medical students were questioned in order to determine their learning style. We determined that 73% of the students prefer one learning style, 22% prefer to learn using equally two learning style, while the rest prefer three learning styles. According to this study the distribution of the learning styles is as following: 33% visual, 26% auditory, 14% kinesthetic, 12% visual and auditory styles equally, 6% visual and kinesthetic, 4% auditory and kinesthetic and 5% all three styles. 32 % of the students that participated at this study are from UMF Craiova, 32% from UMF Carol Davila, 11% University of Medicine T Popa, Iasi, 9% UMF Cluj Iulius Hatieganu. The way medical students learn is different from the general population. This is why it is important when teaching to considerate how the students learn in order to facilitate the learning.

  3. Learning Styles: Do They Differ by Discipline?

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    Wolfe, Kara; Bates, Derald; Manikowske, Linda; Amundsen, Rebecca

    2005-01-01

    Kolb's Experiential Learning Theory describes how learners see and interpret information. Past studies have analyzed learning styles of certain professions and majors. This study evaluated whether student learning styles differ by major. The Marshall and Merritt Learning Style Inventory was completed by 531 students. Differences were found in…

  4. Effects of cooperative learning strategy on undergraduate kinesiology students' learning styles.

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    Meeuwsen, Harry J; King, George A; Pederson, Rockie

    2005-10-01

    A growing body of research supports cooperative learning as an effective teaching strategy. A specific cooperative learning strategy, Team-based Learning, was applied to a convenience sample of four undergraduate sophomore-level motor behavior courses over four semesters from Fall 2002 to Spring 2004 to examine whether this strategy would affect students' learning styles. The data from the Grasha-Reichmann Student Learning Style Scales indicated that this teaching strategy was associated with a significant decrease in the negative Avoidant and Dependent learning styles and an improvement in the positive Participant learning style.

  5. An Intelligent System for Determining Learning Style

    Science.gov (United States)

    Ozdemir, Ali; Alaybeyoglu, Aysegul; Mulayim, Naciye; Uysal, Muhammed

    2018-01-01

    In this study, an intelligent system which determines learning style of the students is developed to increase success in effective and easy learning. The importance of the proposed software system is to determine convenience degree of the student's learning style. Personal information form and Dunn Learning Style Preference Survey are used to…

  6. Styles and Style-Stretching: How Are They Related to Successful Learning?

    Science.gov (United States)

    Griffiths, Carol; Inceçay, Görsev

    2016-01-01

    Although the learning style construct has aroused much interest over the years, questions remain regarding basic issues such as definition, the validity and/or reliability of various measurement instruments, and the relationship between learning style and successful learning. Furthermore, although maintaining stylistic flexibility is recommended…

  7. Learning Styles and Student Performance in Introductory Economics

    Science.gov (United States)

    Brunton, Bruce

    2015-01-01

    Data from nine introductory microeconomics classes was used to test the effect of student learning style on academic performance. The Kolb Learning Style Inventory was used to assess individual student learning styles. The results indicate that student learning style has no significant effect on performance, undermining the claims of those who…

  8. Effects of problem-based learning by learning style in medical education.

    Science.gov (United States)

    Chae, Su-Jin

    2012-12-01

    Although problem-based learning (PBL) has been popularized in many colleges, few studies have analyzed the relationship between individual differences and PBL. The purpose of this study was to analyze the relationship between learning style and the perception on the effects of PBL. Grasha-Riechmann Student Learning Style Scales was used to assess the learning styles of 38 students at Ajou University School of Medicine who were enrolled in a respiratory system course in 2011. The data were analyzed by regression analysis and Spearman correlation analysis. By regression analysis, dependent beta=0.478) and avoidant styles (beta=-0.815) influenced the learner's satisfaction with PBL. By Spearman correlation analysis, there was significant link between independent, dependent, and avoidant styles and the perception of the effect of PBL. There are few significant relationships between learning style and the perception of the effects of PBL. We must determine how to teach students with different learning styles and the factors that influence PBL.

  9. Understanding Learning Style Variations among Undergraduate Students

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    N. Jayakumar

    2017-09-01

    Full Text Available A study was conducted in Vellore district of Tamil Nadu state to understand the learning styles of students. The term learning style refers to the way or method or approach by which a student learns. The study explored the possible learning style variations among agricultural, horticultural, engineering and arts & science students and their association with academic achievement. One hundred and twelve students were randomly selected from the four streams and their learning styles were analyzed. In the agricultural and horticultural streams, a majority of the students were auditory learners. They were also found to be predominantly unimodal learners. Overall, it was found that majority of the students were visual learners followed by auditory and kinesthetic style. The highest percentage of kinesthetic learners was found among engineering students. Trimodal learners scored the highest mean percentage of marks. The influence of learning styles on the academic achievements of the students did not show a significant relationship.

  10. Relationship between the Learning Styles Preferences and Academic Achievement

    Science.gov (United States)

    Awang, H.; Samad, N. Abd; Faiz, N. S. Mohd; Roddin, R.; Kankia, J. D.

    2017-08-01

    The individual learning differences that have been much explored relate to differences in personality, learning styles, strategies and conceptual of learning. This article studies the learning style profile exhibited by students towards the academic achievement in Malaysian Polytechnic. The relationship between learning styles of Polytechnic students and their academic achievement based on VARK learning styles model. The target population was international business students of Malaysian Polytechnic. By means of randomly sampling method, 103 students were selected as sample of research. By descriptive - survey research method and a questionnaire adapted from VARK Learning Style Index, required data were collected. According to the results, no significantly difference between learning style and academic achievement of students. Students academic achievement was quite similar to their individual learning styles. These facts reveal that each learning style has its own strengths and weaknesses.

  11. Action-Emotion Style, Learning Approach and Coping Strategies, in Undergraduate University Students

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    Jesús de la Fuente

    Full Text Available Action-Emotion Style (AES is an affective-motivational construct that describes the achievement motivation that is characteristic of students in their interaction with stressful situations. Using elements from the Type-A Behavior Pattern (TABP, characteristics of competitiveness and overwork occur in different combinations with emotions of impatience and hostility, leading to a classification containing five categories of action-emotion style (Type B, Impatient-hostile type, Medium type, Competitive-Overworking type and Type A. The objective of the present research is to establish how characteristics of action-emotion style relate to learning approach (deep and surface approaches and to coping strategies (emotion-focused and problem-focused. The sample was composed of 225 students from the Psychology degree program. Pearson correlation analyses, ANOVAs and MANOVAs were used. Results showed that competitiveness-overwork characteristics have a significant positive association with the deep approach and with problem-focused strategies, while impatience-hostility is thus related to surface approach and emotion-focused strategies. The level of action-emotion style had a significant main effect. The results verified our hypotheses with reference to the relationships between action-emotion style, learning approaches and coping strategies.

  12. Learning environment, learning styles and conceptual understanding

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    Ferrer, Lourdes M.

    1990-01-01

    In recent years there have been many studies on learners developing conceptions of natural phenomena. However, so far there have been few attempts to investigate how the characteristics of the learners and their environment influence such conceptions. This study began with an attempt to use an instrument developed by McCarthy (1981) to describe learners in Malaysian primary schools. This proved inappropriate as Asian primary classrooms do not provide the same kind of environment as US classrooms. It was decided to develop a learning style checklist to suit the local context and which could be used to describe differences between learners which teachers could appreciate and use. The checklist included four dimensions — perceptual, process, self-confidence and motivation. The validated instrument was used to determine the learning style preferences of primary four pupils in Penang, Malaysia. Later, an analysis was made regarding the influence of learning environment and learning styles on conceptual understanding in the topics of food, respiration and excretion. This study was replicated in the Philippines with the purpose of investigating the relationship between learning styles and achievement in science, where the topics of food, respiration and excretion have been taken up. A number of significant relationships were observed in these two studies.

  13. Learning styles and courseware design

    OpenAIRE

    Valley, Karen

    1997-01-01

    In this paper we examine how (courseware) can accommodate differences in preferred learning style. A review of the literature on learning styles is followed by a discussion of the implications of being able to accurately classify learners, and key issues that must be addressed are raised. We then present two courseware design solutions that take into account individual learning‐style preference: the first follows on from traditional research in this area and assumes that learners can be class...

  14. Learning style, judgements of learning, and learning of verbal and visual information.

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    Knoll, Abby R; Otani, Hajime; Skeel, Reid L; Van Horn, K Roger

    2017-08-01

    The concept of learning style is immensely popular despite the lack of evidence showing that learning style influences performance. This study tested the hypothesis that the popularity of learning style is maintained because it is associated with subjective aspects of learning, such as judgements of learning (JOLs). Preference for verbal and visual information was assessed using the revised Verbalizer-Visualizer Questionnaire (VVQ). Then, participants studied a list of word pairs and a list of picture pairs, making JOLs (immediate, delayed, and global) while studying each list. Learning was tested by cued recall. The results showed that higher VVQ verbalizer scores were associated with higher immediate JOLs for words, and higher VVQ visualizer scores were associated with higher immediate JOLs for pictures. There was no association between VVQ scores and recall or JOL accuracy. As predicted, learning style was associated with subjective aspects of learning but not objective aspects of learning. © 2016 The British Psychological Society.

  15. Handwritten document age classification based on handwriting styles

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    Ramaiah, Chetan; Kumar, Gaurav; Govindaraju, Venu

    2012-01-01

    Handwriting styles are constantly changing over time. We approach the novel problem of estimating the approximate age of Historical Handwritten Documents using Handwriting styles. This system will have many applications in handwritten document processing engines where specialized processing techniques can be applied based on the estimated age of the document. We propose to learn a distribution over styles across centuries using Topic Models and to apply a classifier over weights learned in order to estimate the approximate age of the documents. We present a comparison of different distance metrics such as Euclidean Distance and Hellinger Distance within this application.

  16. Learning style preferences among pre-clinical medical students

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    Aye Aye Mon

    2014-02-01

    Full Text Available Generally, different students employ different learning styles dur-ing their studies and medical students are exposed to diverse methods of teaching. Therefore, understanding students’ learning style preference is an important consideration for a high quality and effective teaching and learning process.The aim of the study was to study the variation of learning styles among pre-clinical medical students of SEGi University, Malaysia. A cross-sectional study was performed by using VARK (Visual, Audio, Reading and Kinaesthetic questionnaire version 7.2 to assess the learning style preference of 98 (n=98 pre-clinical medical students in SEGi University. The questionnaire consists of 16 items which identify four different learning styles: visual, aural, reading/writing and kin-esthetic. Descriptive statistics were used to identify the learning styles of students. 61 students preferred multimodal as their learning style, out of which 43 (70% of them were female stu-dents and 18 (30% were male students. 37 students preferred unimodal as their learning style out of which 22 (59% of them were female students and 15 (41% were male students. In addi-tion, female students had more diverse preferences than male students by having 10 out of the other 11 possible combinations in multimodal learning style of preference, whereas the male stu-dents only had 5 out of the 11 combinations. In this study, there was no significant gender difference in the percentages of males and female students who preferred unimodal and multimodal styles of information presentation (P= 0.263; α=0.05. To con-clude, the majority of students of both genders had chosen quad-modal as their learning style preference. The results of this study can provide useful information for improving the quality of the teaching and learning experiences of students.

  17. LEARNING STYLES AND SATISFACTION IN DISTANCE EDUCATION

    Directory of Open Access Journals (Sweden)

    Darren C. WU

    2014-10-01

    Full Text Available Although complex, controversial, and contradicting, learning styles is highly influential. Distance education (DE has experienced tremendous growth in the last few decades. The popularity of learning styles and DE necessitates research. This correlational research study was conducted to determine if there is any evidence to incorporate learning styles in DE. The following is the research question for this study. Are students’ learning styles based on the visual, auditory, tactile model correlated to satisfaction of course format in an online undergraduate course? The participants of this study were students enrolled in three sections of the Contemporary Worldviews course at a private higher education institution (HEI. Learning styles were determined by a variant of the visual, auditory, read/write, and kinesthetic (VARK framework. Satisfaction of course format was determined from one composite question with responses based on a Likert scale. The response rate was 53.5%. Statistical analysis determined that learning styles was not correlated to satisfaction of course format in this current study. There are implications from this study that curriculum can be designed for a single course that leaves students highly satisfied. Educators should saturate DE courses with as much variance as feasible given technology and cost limitations to account for possible learning style differences.

  18. Learning style preferences of Australian health science students.

    Science.gov (United States)

    Zoghi, Maryam; Brown, Ted; Williams, Brett; Roller, Louis; Jaberzadeh, Shapour; Palermo, Claire; McKenna, Lisa; Wright, Caroline; Baird, Marilyn; Schneider-Kolsky, Michal; Hewitt, Lesley; Sim, Jenny; Holt, Tangerine-Ann

    2010-01-01

    It has been identified that health science student groups may have distinctive learning needs. By university educators' and professional fieldwork supervisors' being aware of the unique learning style preferences of health science students, they have the capacity to adjust their teaching approaches to best fit with their students' learning preferences. The purpose of this study was to investigate the learning style preferences of a group of Australian health science students enrolled in 10 different disciplines. The Kolb Learning Style Inventory was distributed to 2,885 students enrolled in dietetics and nutrition, midwifery, nursing, occupational therapy, paramedics, pharmacy, physiotherapy, radiation therapy, radiography, and social work at one Australian university. A total of 752 usable survey forms were returned (response rate 26%). The results indicated the converger learning style to be most frequently preferred by health science students and that the diverger and accommodator learning styles were the least preferred. It is recommended that educators take learning style preferences of health science students into consideration when planning, implementing, and evaluating teaching activities, such as including more problem-solving activities that fit within the converger learning style.

  19. Learning Styles and Organisational Development in Practice

    DEFF Research Database (Denmark)

    Brix, Jacob; Lauridsen, Karen M.

    2012-01-01

    Issues of innovation and knowledge management are often treated from an organisational learning perspective. As a complement to this, there is a vast potential in the strategic enhancement of individual learning by implementing learning styles profiles and creating personal learning strategies...... for management and employees in a knowledge based organisation. Based on an action-research case study, we offer an example of how learning styles affects individual learning and thus personal knowledge creation in practice. The paper argues that innovation and knowledge management is enhanced and facilitated...... in practice by working with the learning styles of individuals and groups/teams....

  20. Learning style preferences of surgical residency applicants.

    Science.gov (United States)

    Kim, Roger H; Gilbert, Timothy

    2015-09-01

    The learning style preferences of general surgery residents have been previously reported; there is evidence that residents who prefer read/write learning styles perform better on the American Board of Surgery In-Training Examination (ABSITE). However, little is known regarding the learning style preferences of applicants to general surgery residency and their impact on educational outcomes. In this study, the preferred learning styles of surgical residency applicants were determined. We hypothesized that applicant rank data are associated with specific learning style preferences. The Fleming VARK learning styles inventory was offered to all general surgery residency applicants that were interviewed at a university hospital-based program. The VARK model categorizes learners as visual (V), aural (A), read/write (R), kinesthetic (K), or multimodal (MM). Responses on the inventory were scored to determine the preferred learning style for each applicant. Applicant data, including United States Medical Licensing Examination (USMLE) scores, class rank, interview score, and overall final applicant ranking, were examined for association with preferred learning styles. Sixty-seven applicants were interviewed. Five applicants were excluded due to not completing the VARK inventory or having incomplete applicant data. The remaining 62 applicants (92%) were included for analysis. Most applicants (57%) had a multimodal preference. Sixty-nine percent of all applicants had some degree of preference for kinesthetic learning. There were statistically significant differences between applicants of different learning styles in terms of USMLE step 1 scores (P = 0.001) and USMLE step 2 clinical knowledge scores (P = 0.01), but not for class ranks (P = 0.27), interview scores (P = 0.20), or final ranks (P = 0.14). Multiple comparison analysis demonstrated that applicants with aural preferences had higher USMLE 1 scores (233.2) than those with kinesthetic (211.8, P = 0.005) or multimodal

  1. Learning Style Preferences of Iranian EFL High School Students

    Directory of Open Access Journals (Sweden)

    Reza Vaseghi

    2013-05-01

    Full Text Available The current study examined the learning style preferences of 75 Iranian students at Marefat high school in Kuala Lumpur of which, 41 are females and 34 are males. As there are very few researches in which the learning style preferences of Iranian high school students investigated, this study attempts to fulfil this gap. To this end, in order to identify the students’ preferred learning styles (Visual, Auditory, Kinesthetic, Tactile, Group, and Individual Reid’s Perceptual Learning Style Preferences Questionnaire was used. Results indicated that the six learning style preferences considered in the questionnaire were positively preferred. Overall, kinesthetic and tactile learning were major learning styles. Auditory, group, visual, and individual were minor.

  2. CULTURAL VARIATIONS IN LEARNING AND LEARNING STYLES

    Directory of Open Access Journals (Sweden)

    Pegah OMIDVAR,, Putra University, MALAYSIA

    2012-08-01

    Full Text Available The need for cross-cultural understanding of the relationship between culture and learning style is becoming increasingly important because of the changing cultural mix of classrooms and society at large. The research done regarding the two variables is mostly quantitative. This review summarizes results of the existing research on cultural variations in learning styles. Limitations of the existing studies are discussed and some suggestion for future research is proposed.

  3. Learning Styles of Radiography Students during Clinical Practice

    Science.gov (United States)

    Ward, L. Patrice

    2009-01-01

    The purpose of this study was to identify and describe the common learning styles of radiography students during clinical practice. Quantitative, descriptive research methodology identified the learning styles of radiography students. A single self-report questionnaire, developed to assess learning styles in clinical practice, was administered…

  4. Preference Learning Style in Engineering Mathematics: Students' Perception of E-Learning

    Science.gov (United States)

    Tawil, Norngainy Mohd; Ismail, Nur Arzilah; Asshaari, Izamarlina; Othman, Haliza; Zaharim, Azami; Bahaludin, Hafizah

    2013-01-01

    Nowadays, traditional learning styles are assisted with e-learning components to ensure the effectiveness of the teaching and learning process, especially for the students. This approach is known as blended learning. Objective of this paper is to investigate and clarify the students' preferences in learning style, either traditional or e-learning.…

  5. Exploring Mathematics Achievement Goals Using Kolb’s Learning Style Model

    Directory of Open Access Journals (Sweden)

    Avelino G. Ignacio Jr.

    2017-02-01

    Full Text Available This research work is an exploration of causality connection of learning styles to mathematics achievement goals. The objectives of the study are as follows: (1 to identify the mathematics achievement goal of students when grouped according to preferred learning style (2 to identify the learning style of students when grouped according to preferred mathematics achievement goal and (3 to determine if there is a significant difference in each mathematics achievement goal when grouped according to learning style. The researcher used explanatory cross-sectional design. The Revised Achievement Goal Questionnaire and Kolb’s Learning Style Inventory 3.1 were utilized to collect data. Results show that respondents hold mastery-approach achievement goals regardless of learning styles. Also, students with approach type of mathematics achievement goals hold assimilative learning style which operates on reflective observation and abstract conceptualization; and students with avoidance type of mathematics achievement goals hold accommodative learning style which operates on active experimentation and concrete experimentation. Furthermore, findings show that there is no significant difference in the mathematics achievement goals based on learning style. Exploratory research is recommended to understand why students with approach type of mathematics achievement goals hold assimilative learning style and why students with avoidance type of mathematics achievement goals hold accommodative learning style.

  6. PowerPoint presentation in learning physiology by undergraduates with different learning styles.

    Science.gov (United States)

    Ankad, Roopa B; Shashikala, G V; Herur, Anita; Manjula, R; Chinagudi, Surekharani; Patil, Shailaja

    2015-12-01

    PowerPoint presentations (PPTs) have become routine in medical colleges because of their flexible and varied presentation capabilities. Research indicates that students prefer PPTs over the chalk-and-talk method, and there is a lot of debate over advantages and disadvantages of PPTs. However, there is no clear evidence that PPTs improve student learning/performance. Furthermore, there are a variety of learning styles with sex differences in classrooms. It is the responsibility of teacher/facilitator and student to be aware of learning style preferences to improve learning. The present study asked the following research question: do PPTs equally affect the learning of students with different learning styles in a mixed sex classroom? After we assessed students' predominant learning style according to the sensory modality that one most prefers to use when learning, a test was conducted before and after a PPT to assess student performance. The results were analyzed using Student's t-test and ANOVA with a Bonferroni post hoc test. A z-test showed no sex differences in preferred learning styles. There was significant increase in posttest performance compared with that of the pretest in all types of learners of both sexes. There was also a nonsignificant relationship among sex, learning style, and performance after the PPT. A PPT is equally effective for students with different learning style preferences and supports mixed sex classrooms. Copyright © 2015 The American Physiological Society.

  7. [Relationship between self-directed learning with learning styles and strategies in medical students].

    Science.gov (United States)

    Márquez U, Carolina; Fasce H, Eduardo; Pérez V, Cristhian; Ortega B, Javiera; Parra P, Paula; Ortiz M, Liliana; Matus B, Olga; Ibáñez G, Pilar

    2014-11-01

    Self-directed learning (SDL) skills are particularly important in medical education, considering that physicians should be able to regulate their own learning experiences. To evaluate the relationship between learning styles and strategies and self-directed learning in medical students. One hundred ninety nine first year medical students (120 males) participated in the study. Preparation for Independent Learning (EPAI) scale was used to assess self-direction. Schmeck learning strategies scale and Honey and Alonso (CHAEA) scales were used to evaluate learning styles and strategies. Theoretical learning style and deep processing learning strategy had positive correlations with self-direct learning. Medical students with theoretical styles and low retention of facts are those with greater ability to self-direct their learning. Further studies are required to determine the relationship between learning styles and strategies with SDL in medical students. The acquired knowledge will allow the adjustment of teaching strategies to encourage SDL.

  8. Learning styles in vertically integrated teaching.

    Science.gov (United States)

    Brumpton, Kay; Kitchener, Scott; Sweet, Linda

    2013-10-01

    With vertical integration, registrars and medical students attend the same educational workshops. It is not known whether these learners have similar or different learning styles related to their level of education within the medical training schema. This study aims to collect information about learning styles with a view to changing teaching strategies. If a significant difference is demonstrated this will impact on required approaches to teaching. The VARK learning inventory questionnaire was administered to 36 general practice registrars and 20 medical students. The learning styles were compared as individuals and then related to their level of education within the medical training schema. Students had a greater preference for multimodal learning compared with registrars (62.5 per cent versus 33.3 per cent, respectively). More than half of the registrars preferred uni or bimodal learning modalities, compared with one-third of the medical students. The present workshop format based on visual and aural material will not match the learning needs of most learners. This small study has shown that the majority of medical students and registrars could have their learning preferences better met by the addition of written material to the workshop series. Surprisingly, a significantly larger number of medical students than registrars appeared to be broadly multimodal in their learning style, and this warrants further research. © 2013 John Wiley & Sons Ltd.

  9. Learning Style Preferences of Southeast Asian Students.

    Science.gov (United States)

    Park, Clara C.

    2000-01-01

    Investigated the perceptual learning style preferences (auditory, visual, kinesthetic, and tactile) and preferences for group and individual learning of Southeast Asian students compared to white students. Surveys indicated significant differences in learning style preferences between Southeast Asian and white students and between the diverse…

  10. The Association between Students' Style of Learning Preferences, Social Presence, Collaborative Learning and Learning Outcomes

    Science.gov (United States)

    Chen, Clement; Jones, Keith T.; Xu, Shawn

    2018-01-01

    Differences in styles of learning have become important considerations at all levels of education over the last several years. Examining college students' preferred style of learning is useful for course design and effective instructional methods. Using the Felder-Silverman Index of Learning Styles (ILS), we investigate how students' styles of…

  11. Learning-style bias and the development of psychopathy.

    Science.gov (United States)

    Moul, Caroline; Dadds, Mark R

    2013-02-01

    In accordance with a recently proposed account of amygdala function in psychopathy, it is hypothesized that people with high levels of psychopathic personality traits have a bias in learning style to encode the general valence, and neglect the specific-features, of an outcome. We present a novel learning task designed to operationalize these biases in learning style. The results from pilot samples of healthy adults and children and from a clinical sample of children with conduct problems provide support for the validity of the learning task as a measure of learning style and demonstrate a significant relationship between general-valence style learning and psychopathic personality traits. It is suggested that this relationship may be important for the aetiology of the social-cognitive deficits exhibited by psychopaths. These preliminary results suggest that this measure of learning style has the potential to be utilized as a research tool and may assist with the early identification, and treatment, of children with conduct problems and high levels of callous-unemotional traits.

  12. Learning Style Preferences and the Perceived Usefulness of E-Learning

    Science.gov (United States)

    Mohr, Alexander Toni; Holtbrugge, Dirk; Berg, Nicola

    2012-01-01

    This paper uses data gathered from 953 students to investigate how far individuals' preferences for a particular learning style are associated with the perceived usefulness of e-learning. Our findings reveal the effect of individuals' learning styles as well as their gender and professional experience on the perceived usefulness of different forms…

  13. Learning Styles of Law Enforcement Officers: Does Police Work Affect How Officers Learn?

    Science.gov (United States)

    Landry, John M.

    2011-01-01

    This quantitative study utilized the VARK learning style preference assessment instrument to examine how full-time sworn law enforcement officers learn and attempted to identify a predominant learning style preference among the participants. The primary question was: Which is the dominant learning style preference of full-time sworn law…

  14. A Turkish study of medical student learning styles.

    Science.gov (United States)

    Kalaca, S; Gulpinar, M

    2011-12-01

    A good understanding of the learning styles of students is necessary for optimizing the quality of the learning process. There are few studies in Turkey on the subject of the learning characteristics of medical students. The aim of this study was to define the learning patterns of Turkish medical students based on the Turkish version of Vermunts Inventory of Learning Styles (ILS). The Turkish version of the ILS was developed and administered to 532 medical students. Learning patterns were investigated using factor analysis. Internal consistencies of scales ranged from 0.43 to 0.80. The Turkish version of the ILS identified four learning styles among medical students. In comparing the pre-clinical and clinical phases of medical students related to mental models of learning, statistically significant differences (p learning characteristics: lack of regulation; certificate; self-test and ambivalent orientation; intake of knowledge; and use of knowledge. The Turkish version of the ILS can be used to identify learning styles of medical students. Our findings indicate an intermediate position for our students on a teacher-regulated to student-regulated learning continuum. A variety of teaching methods and learning activities should be provided in medical schools in order to address the range of learning styles.

  15. The Influence of Learning Style on English Learning Achievement Among Undergraduates in Mainland China.

    Science.gov (United States)

    Huang, Fang; Hoi, Cathy Ka Weng; Teo, Timothy

    2018-03-26

    Learning style is one of the main factors that determines how students learn English and has a significant influence on students' learning strategy selection, which further affects their learning outcomes (Ehrman and Oxford in Mod Lang J 74(3):311-327, 1990; Oxford in Language learning styles and strategies: an overview, 2003. http://web.ntpu.edu.tw/~language/workshop/read2.pdf ). This study examines the learning style preferences of Chinese university students and whether those preferences influence their English achievements. Four hundred undergraduates from one university in eastern mainland China participated in this study. Data from 329 valid questionnaires were analysed. The results revealed that the Chinese university students preferred the visual learning style the most, followed by the auditory and kinaesthetic styles. However, no learning style preference was found to influence the students' English proficiency. Cultural reasons are discussed to explain the findings, which contradict those of previous studies of learning style theories and practices. This study recommends that Chinese scholars consider issues of English teaching and learning in China and to adopt appropriate teaching methods to effectively improve English teaching.

  16. Tablet PC Support of Students' Learning Styles

    Directory of Open Access Journals (Sweden)

    Shreya Kothaneth

    2012-12-01

    Full Text Available In the context of rapid technology development, it comes as no surprise that technology continues to impact the educational domain, challenging traditional teaching and learning styles. This study focuses on how students with different learning styles use instructional technology, and in particular, the tablet PC, to enhance their learning experience. The VARK model was chosen as our theoretical framework as we analyzed responses of an online survey, both from a quantitative and qualitative standpoint. Results indicate that if used correctly, the tablet PC can be used across different learning styles to enrich the educational experience.

  17. Evidence-Based Higher Education - Is the Learning Styles 'Myth' Important?

    Science.gov (United States)

    Newton, Philip M; Miah, Mahallad

    2017-01-01

    The basic idea behind the use of 'Learning Styles' is that learners can be categorized into one or more 'styles' (e.g., Visual, Auditory, Converger) and that teaching students according to their style will result in improved learning. This idea has been repeatedly tested and there is currently no evidence to support it. Despite this, belief in the use of Learning Styles appears to be widespread amongst schoolteachers and persists in the research literature. This mismatch between evidence and practice has provoked controversy, and some have labeled Learning Styles a 'myth.' In this study, we used a survey of academics in UK Higher Education ( n = 114) to try and go beyond the controversy by quantifying belief and, crucially, actual use of Learning Styles. We also attempted to understand how academics view the potential harms associated with the use of Learning Styles. We found that general belief in the use of Learning Styles was high (58%), but lower than in similar previous studies, continuing an overall downward trend in recent years. Critically the percentage of respondents who reported actually using Learning Styles (33%) was much lower than those who reported believing in their use. Far more reported using a number of techniques that are demonstrably evidence-based. Academics agreed with all the posited weaknesses and harms of Learning Styles theory, agreeing most strongly that the basic theory of Learning Styles is conceptually flawed. However, a substantial number of participants (32%) stated that they would continue to use Learning Styles despite being presented with the lack of an evidence base to support them, suggesting that 'debunking' Learning Styles may not be effective. We argue that the interests of all may be better served by promoting evidence-based approaches to Higher Education.

  18. The Scientific Status of Learning Styles Theories

    Science.gov (United States)

    Willingham, Daniel T.; Hughes, Elizabeth M.; Dobolyi, David G.

    2015-01-01

    Theories of learning styles suggest that individuals think and learn best in different ways. These are not differences of ability but rather preferences for processing certain types of information or for processing information in certain types of way. If accurate, learning styles theories could have important implications for instruction because…

  19. ePortfolio and learning styles in Nursing Education

    DEFF Research Database (Denmark)

    Nielsen, Kirsten; Helms, Niels Henrik; Pedersen, Birthe D.

    ePortfolio & learning styles in Nursing Education Background Examination of the literature shows both advantages and disadvantages in implementing ePortfolio and learning styles in Nursing Education. The students reflect on nursing practice as well as on their strengths and weaknesses...... priority than learning the practical craft of nursing in clinical settings. Insight into preferred learning style can be an advantage to both students and preceptors in attempt to promote students´ learning potential, but there are quite many different theoretical approaches and definitions of the concept...... of Nursing, VIA University College, DK wanted to intensify the differentiated guidance of students, and developed an ePortfolio which aim to facilitate four learning styles as described by Honey and Mumford. It was tested in a pilot project and now, a qualitative study of how learning is mediated in clinical...

  20. Are Learning Styles Relevant to Virtual Reality?

    Science.gov (United States)

    Chen, Chwen Jen; Toh, Seong Chong; Ismail, Wan Mohd Fauzy Wan

    2005-01-01

    This study aims to investigate the effects of a virtual reality (VR)-based learning environment on learners with different learning styles. The findings of the aptitude-by-treatment interaction study have shown that learners benefit most from the VR (guided exploration) mode, irrespective of their learning styles. This shows that the VR-based…

  1. A Teaching Elixir, Learning Chimera or Just Fool's Gold? Do Learning Styles Matter?

    Science.gov (United States)

    Rayner, Steve

    2007-01-01

    The idea of a personal style in learning has grown during the past decade to dominate teacher discourse in the UK. The theory supporting this idea is work in understanding cognitive and learning style. A recent review of learning styles for the Learning and Skills Development Agency in the UK has been widely publicised and is deeply critical of…

  2. Learning Style Preferences of Iranian EFL High School Students

    OpenAIRE

    Reza Vaseghi; Hamed Barjesteh; Sedigheh Shakib

    2013-01-01

    The current study examined the learning style preferences of 75 Iranian students at Marefat high school in Kuala Lumpur of which, 41 are females and 34 are males. As there are very few researches in which the learning style preferences of Iranian high school students investigated, this study attempts to fulfil this gap. To this end, in order to identify the students’ preferred learning styles (Visual, Auditory, Kinesthetic, Tactile, Group, and Individual) Reid’s Perceptual Learning Style Pref...

  3. ePortfolio & learning styles in Nursing Education

    DEFF Research Database (Denmark)

    Nielsen, Kirsten; Helms, Niels Henrik; Pedersen, Birthe D.

    2012-01-01

    Background Examination of the literature shows both advantages and disadvantages in implementing ePortfolio and learning styles in Nursing Education. The students reflect on nursing practice as well as on their strengths and weaknesses, and reflecting in the portfolio increases self-awareness, pe......Background Examination of the literature shows both advantages and disadvantages in implementing ePortfolio and learning styles in Nursing Education. The students reflect on nursing practice as well as on their strengths and weaknesses, and reflecting in the portfolio increases self...... in clinical settings. Insight into preferred learning style can be an advantage to both students and preceptors in attempt to promote students´ learning potential, but there are quite many different theoretical approaches and definitions of the concept, and reviewers call attention to the risk that teachers...... to intensify the differentiated guidance of students, and developed an ePortfolio which aim to facilitate four learning styles as described by Honey and Mumford. It was tested in a pilot project and now, a qualitative study of how learning is mediated in clinical education through this ePortfolio is passing...

  4. Learning Styles: A Comparison between Indian and German Business Students

    Science.gov (United States)

    Bhatnagar, Tushar; Sinha, Vinita

    2018-01-01

    Every individual is characterized by a learning style which an individual develops over a course of time. The learning style may be shaped by different cultural environment. This study aims to find and compare the learning style of Indian and German business students by examining the learning styles of 81 students from India and Germany. The study…

  5. Academic Performance in Introductory Accounting: Do Learning Styles Matter?

    Science.gov (United States)

    Tan, Lin Mei; Laswad, Fawzi

    2015-01-01

    This study examines the impact of learning styles on academic performance using major assessment methods (examinations and assignments including multiple-choice and constructed response questions (CRQs)) in an introductory accounting course. Students' learning styles were assessed using Kolb's Learning Style Inventory Version 3.1. The results…

  6. Identifying Students learning Styles as a Way to Promote Learning Quality

    Directory of Open Access Journals (Sweden)

    Jafar Sadegh Tabrizi

    2013-05-01

    Full Text Available Introduction: The major part of peoples knowledge, skills and abilities are achieved during the complex process called learning. Learning is not simply the product of mere intelligence and capabilities of individual; it also depends on other factors such as personality traits, personal interests, and t ype of duty and di fferent methods and st yles. The understanding of each individual fits with his/her learning style. The aim of this study was to determine the learning st yles of Health Care Management students in Tabriz University of Medical Sciences. Methods: Learning styles of 55 Health Services Management students in Tabriz Health and Nutrition Faculty were evaluated in 2009 using a twelve-question Kolb questionnaire in a descriptive study. The data was anal yzed using SPSS. And the frequency of students learning styles was identified by their ages and averages. Results: In this study, 69% of the students were female and the dominant learning method was Assimilator (42%. Other styles with a regard to their frequency were Diverge (24%, Coverage (22%and Accommodator (12%. In the present study,no statistically significant relationship was found in learning styles between the gender (p= 0.644and average (p = 0.676of the students. Conclusion: Assimilator and Diverge methods were the most common ones among the management students. Hence, to improve the quality of learning in this group of students, it is proposed that the teachers use interactive and creative teaching methods such as small and la rge group discussion,brain storming, problem solving, debate-based learning, self-learning and lecturing.

  7. Understanding the learning styles of undergraduate physiotherapy ...

    African Journals Online (AJOL)

    Background. Undergraduate students at universities have different learning styles. To perform optimally, both they and their educators should be made aware of their preferred learning styles and problem-solving abilities. Students have different backgrounds, strengths, weaknesses, interests, ambitions, levels of motivation ...

  8. Chinese Parenting Styles and Children's Self-Regulated Learning

    Science.gov (United States)

    Huang, Juan; Prochner, Larry

    2004-01-01

    Self-regulated learning is an important aspect of student learning and academic achievement. Certain parenting styles help children develop self-regulated learning and encourage them to exert control over their own learning. The purpose of this study was to examine the relationship between Chinese parenting style and children's involvement in…

  9. Do yogis have "Learning Styles"? (A somatic solution).

    Science.gov (United States)

    Strean, William Ben

    2017-01-01

    Learning styles has captivated a great deal of attention in yoga teacher training. The triad of visual, auditory, and kinesthetic learning styles has been particularly popular; yet as Sharp et al . asserted, such an approach trivializes the complexity of learning and compromises scholarship at all levels of the education community. This paper addresses that although there is great merit in recognizing yoga students' differences and preferences, many uses of learning styles in yoga teacher training are superficial and promote self-handicapping. A somatic perspective (from soma, the body in its wholeness) offers a framework to reconsider the depth of effective learning.

  10. Critical Review on Affect of Personality on Learning Styles

    Science.gov (United States)

    Kamarulzaman, Wirawani

    2012-01-01

    This paper is intended to review the affect of personality on learning styles. Costa and McCrae's Five-Factor Model of Personality (The Big 5) is explored against Kolb Learning Styles. The Big 5 factors are extraversion, neuroticism, openness, agreeableness and conscientiousness, whereas Kolb Learning Styles are divergers, assimilators,…

  11. Learning Styles and Continuing Medical Education.

    Science.gov (United States)

    Van Voorhees, Curtis; And Others

    1988-01-01

    The Gregorc Style Delineator--Word Matrix was administered to 2,060 physicians in order to gain a better understanding of their participation in continuing medical education. The study showed that 63 percent preferred the concrete sequential learning style. Different style preferences may account for some of the apparent disparity between…

  12. Detection Learning Style Vark For Out Of School Children (OSC)

    Science.gov (United States)

    Amran, Ali; Desiani, Anita; Hasibuan, MS

    2017-04-01

    Learning style is different for every learner especially for out of school children or OSC. They are not like formal students, they are learners but they don’t have a teacher as a guide for learning. E-learning is one of the solutions to help OSC to get education. E-learning should have preferred learning styles of learners. Data for identifying the learning style in this study were collected with a VARK questionnaire from 25 OSC in junior high school level from 5 municipalities in Palembang. The validity of the questionnaire was considered on basis of experts’ views and its reliability was calculated by using Cronbach’s alpha coefficients (α=0.68). Overall, 55% preferred to use a single learning style (Uni-modal). Of these, 27,76% preferred Aural, 20,57% preferred Reading Writing, 33,33% preferred Kinaesthetic and 23,13% preferred Visual. 45% of OSC preferred more than one style, 30% chose two-modes (bimodal), and 15% chose three-modes (tri-modal). The Most preferred Learning style of OSC is kinaesthetic learning. Kinaesthetic learning requires body movements, interactivities, and direct contacts with learning materials, these things can be difficult to implement in eLearning, but E-learning should be able to adopt any learning styles which are flexible in terms of time, period, curriculum, pedagogy, location, and language.

  13. Self-directed learning readiness and learning styles among Saudi undergraduate nursing students.

    Science.gov (United States)

    El-Gilany, Abdel-Hady; Abusaad, Fawzia El Sayed

    2013-09-01

    Self-directed learning has become a focus for nursing education in the past few decades due to the complexity and changes in nursing profession development. On the other hand, the Kolb's learning style could identify student's preference for perceiving and processing information. This study was performed to determine Saudi nursing students' readiness for self-directed learning; to identify their learning styles and to find out the relation between these two concepts. Cross-sectional descriptive study. Nursing department of faculty of Applied Medical Sciences, Al-Jouf University, Saudi Arabia. Two hundred and seventy-five undergraduate Saudi nursing students. Data was collected using self-administered questionnaires covering the demographic features of students, Fisher's self-directed learning readiness (SDLR) scale, and the Kolb's learning styles inventory. The mean scores of self-management, desire for learning, self-control and the overall SDLR were 51.3 ± 5.9, 48.4 ± 5.5, 59.9 ± 6.7, and 159.6 ± 13.8; respectively. About 77% (211) of students have high level of SDLR. The percentages of converger, diverger, assimilator and accommodator learning styles are 35.6%, 25.8%, 25.55% and 13.1%; respectively. The mean score of self-management, desire for learning, self-control and overall SDLR scale did not vary with any of the studied variables. There is no association between the level of SDLR and the learning styles. The high level of SDLR and the dominant converger learning style among undergraduate nursing students will have a positive implication for their education and post-employment continuing nursing education. Copyright © 2012 Elsevier Ltd. All rights reserved.

  14. Learning Style and Attitude toward Computer among Iranian Medical Students

    Directory of Open Access Journals (Sweden)

    Seyedeh Shohreh Alavi

    2016-02-01

    Full Text Available Background and purpose: Presently, the method of medical teaching has shifted from lecture-based to computer-based. The learning style may play a key role in the attitude toward learning computer. The goal of this study was to study the relationship between the learning style and attitude toward computer among Iranian medical students.Methods: This cross-sectional study included 400 medical students. Barsch learning style inventory and a questionnaire on the attitude toward computer was sent to each student. The enthusiasm, anxiety, and overall attitude toward computer were compared among the different learning styles.Results: The response rate to the questionnaire was 91.8%. The distribution of learning styles in the students was 181 (49.3% visual, 106 (28.9% auditory, 27 (7.4% tactual, and 53 (14.4% overall. Visual learners were less anxious for computer use and showed more positive attitude toward computer. Sex, age, and academic grade were not associated with students’ attitude toward computer.Conclusions: The learning style is an important factor in the students’ attitude toward computer among medical students, which should be considered in planning computer-based learning programs.Keywords: LEARNING STYLE, ATTITUDE, COMPUTER, MEDICAL STUDENT, ANXIETY, ENTHUSIASM

  15. Learning Style Scales: a valid and reliable questionnaire

    Directory of Open Access Journals (Sweden)

    Abdolghani Abdollahimohammad

    2014-08-01

    Full Text Available Purpose: Learning-style instruments assist students in developing their own learning strategies and outcomes, in eliminating learning barriers, and in acknowledging peer diversity. Only a few psychometrically validated learning-style instruments are available. This study aimed to develop a valid and reliable learning-style instrument for nursing students. Methods: A cross-sectional survey study was conducted in two nursing schools in two countries. A purposive sample of 156 undergraduate nursing students participated in the study. Face and content validity was obtained from an expert panel. The LSS construct was established using principal axis factoring (PAF with oblimin rotation, a scree plot test, and parallel analysis (PA. The reliability of LSS was tested using Cronbach’s α, corrected item-total correlation, and test-retest. Results: Factor analysis revealed five components, confirmed by PA and a relatively clear curve on the scree plot. Component strength and interpretability were also confirmed. The factors were labeled as perceptive, solitary, analytic, competitive, and imaginative learning styles. Cronbach’s α was > 0.70 for all subscales in both study populations. The corrected item-total correlations were > 0.30 for the items in each component. Conclusion: The LSS is a valid and reliable inventory for evaluating learning style preferences in nursing students in various multicultural environments.

  16. Learning Style Scales: a valid and reliable questionnaire.

    Science.gov (United States)

    Abdollahimohammad, Abdolghani; Ja'afar, Rogayah

    2014-01-01

    Learning-style instruments assist students in developing their own learning strategies and outcomes, in eliminating learning barriers, and in acknowledging peer diversity. Only a few psychometrically validated learning-style instruments are available. This study aimed to develop a valid and reliable learning-style instrument for nursing students. A cross-sectional survey study was conducted in two nursing schools in two countries. A purposive sample of 156 undergraduate nursing students participated in the study. Face and content validity was obtained from an expert panel. The LSS construct was established using principal axis factoring (PAF) with oblimin rotation, a scree plot test, and parallel analysis (PA). The reliability of LSS was tested using Cronbach's α, corrected item-total correlation, and test-retest. Factor analysis revealed five components, confirmed by PA and a relatively clear curve on the scree plot. Component strength and interpretability were also confirmed. The factors were labeled as perceptive, solitary, analytic, competitive, and imaginative learning styles. Cronbach's α was >0.70 for all subscales in both study populations. The corrected item-total correlations were >0.30 for the items in each component. The LSS is a valid and reliable inventory for evaluating learning style preferences in nursing students in various multicultural environments.

  17. Learning Styles and the Online Classroom: Implications for Business Students

    Science.gov (United States)

    Nastanski, Michael; Slick, Thomas

    2008-01-01

    This paper discusses the importance of student learning styles within a Distance Learning (DL) classroom. The study examines the learning style preferences of online business students as measured by the Kolb Learning Style Inventory and determines if a significant difference in course grades and course completion rates exist between students when…

  18. Relationship between Learning Style and Academic Status of Babol Dental Students

    Science.gov (United States)

    Nasiri, Zahra; Gharekhani, Samane; Ghasempour, Maryam

    2016-01-01

    Introduction Identifying and employing students’ learning styles could play an important role in selecting appropriate teaching methods in order to improve education. The aim of this study was to determine the relationship between the students’ final exam scores and the learning style preferences of dental students at Babol University of Medical Sciences. Methods This cross-sectional study was conducted on 88 dental students studying in their fourth, fifth, and sixth years using the visual–aural–reading/writing–kinesthetic (VARK) learning styles’ questionnaire. The data were analyzed with IBM SPSS, version 21, using the chi-squared test and the t-test. Results Of the 88 participants who responded to the questionnaire, 87 preferred multimodal learning styles. There was no significant difference between the mean of the final exam scores in students who did and did not prefer the aural learning style (p = 0.86), the reading/writing learning style (p = 0.20), and the kinesthetic learning style (p = 0.32). In addition, there was no significant difference between the scores on the final clinical course among the students who had different preferences for learning style. However, there was a significant difference between the mean of the final exam scores in students with and without visual learning style preference (p = 0.03), with the former having higher mean scores. There was no significant relationship between preferred learning styles and gender (p > 0.05). Conclusion The majority of dental students preferred multimodal learning styles, and there was a significant difference between the mean of the final exam scores for students with and without a preference for the visual learning style. In addition, there were no differences in the preferred learning styles between male and female students. PMID:27382442

  19. Descriptor Based Classification of Shapes in Terms of Style and Function

    DEFF Research Database (Denmark)

    Welnicka, Katarzyna; Bærentzen, Jakob Andreas; Aanæs, Henrik

    of a specific human being have some commonality that separate them from those of another person. Thus, one could argue that an individual represents a style. Style in the context of biological variation is something that we explore in the work presented here. Specifically, we investigate whether we can define...... of functions, since, as we discuss below, the function of the object (what it is) clearly also has a profound impact on shape. Thus, our work can be summed up as example based classification of digital 3D shapes in both style and function categories....

  20. Learning styles and academic achievement among undergraduate medical students in Thailand

    Directory of Open Access Journals (Sweden)

    Wichuda Jiraporncharoen

    2015-07-01

    Full Text Available Purpose: This study aimed to explore the associations between learning styles and high academic achievement and to ascertain whether the factors associated with high academic achievement differed between preclinical and clinical students. Methods: A survey was conducted among undergraduate medical students in Chiang Mai University, Thailand. The Index of Learning Styles questionnaire was used to assess each student’s learning style across four domains. High academic achievement was defined as a grade point average of at least 3.0. Results: Of the 1,248 eligible medical students, 1,014 (81.3% participated. Learning styles differed between the preclinical and clinical students in the active/reflective domain. A sequential learning style was associated with high academic achievement in both preclinical and clinical students. A reflective learning style was only associated with high academic achievement among preclinical students. Conclusion: The association between learning styles and academic achievement may have differed between preclinical and clinical students due to different learning content and teaching methods. Students should be encouraged to be flexible in their own learning styles in order to engage successfully with various and changing teaching methods across the curriculum. Instructors should be also encouraged to provide a variety of teaching materials and resources to suit different learning styles.

  1. Learning styles and academic achievement among undergraduate medical students in Thailand.

    Science.gov (United States)

    Jiraporncharoen, Wichuda; Angkurawaranon, Chaisiri; Chockjamsai, Manoch; Deesomchok, Athavudh; Euathrongchit, Juntima

    2015-01-01

    This study aimed to explore the associations between learning styles and high academic achievement and to ascertain whether the factors associated with high academic achievement differed between preclinical and clinical students. A survey was conducted among undergraduate medical students in Chiang Mai University, Thailand. The Index of Learning Styles questionnaire was used to assess each student's learning style across four domains. High academic achievement was defined as a grade point average of at least 3.0. Of the 1,248 eligible medical students, 1,014 (81.3%) participated. Learning styles differed between the preclinical and clinical students in the active/reflective domain. A sequential learning style was associated with high academic achievement in both preclinical and clinical students. A reflective learning style was only associated with high academic achievement among preclinical students. The association between learning styles and academic achievement may have differed between preclinical and clinical students due to different learning content and teaching methods. Students should be encouraged to be flexible in their own learning styles in order to engage successfully with various and changing teaching methods across the curriculum. Instructors should be also encouraged to provide a variety of teaching materials and resources to suit different learning styles.

  2. Students' Preferred Learning Styles in Graphic Communications

    Science.gov (United States)

    Ernst, Jeremy V.; Clark, Aaron C.

    2008-01-01

    The objective of this study was to identify changes in dominant preferred learning styles of students based on instructional presentation of course content. This study evaluates dominant preferred learning styles of two groups of university students. The first group of students was enrolled in a course that introduces graphical representation in…

  3. Parenting styles and learned resourcefulness of Turkish adolescents.

    Science.gov (United States)

    Türkel, Yeşim Deniz; Tezer, Esin

    2008-01-01

    This study investigated the differences among 834 high school students regarding learned resourcefulness in terms of perceived parenting style and gender. The data were gathered by administering the Parenting Style Inventory (PSI) and Rosenbaum's Self-Control Schedule (SCS). The results of ANOVA pertaining to the scores of learned resourcefulness yielded a significant main effect for parenting style groups. Neither the main effect for gender nor the gender and parenting style interaction effect was significant. The findings suggest that those who perceived their parents as authoritative had a relatively high level of learned resourcefulness as compared to those who perceived their parents as neglectful and authoritarian. Findings also indicated that those who perceived their parents as indulgent had a higher level of learned resourcefulness than those who perceived their parents as neglectful and authoritarian.

  4. An Investigation between Multiple Intelligences and Learning Styles

    Science.gov (United States)

    Sener, Sabriye; Çokçaliskan, Ayten

    2018-01-01

    Exploring learning style and multiple intelligence type of learners can enable the students to identify their strengths and weaknesses and learn from them. It is also very important for teachers to understand their learners' learning styles and multiple intelligences since they can carefully identify their goals and design activities that can…

  5. THE POSITIVE EFFECTS OF COGNITIVE LEARNING STYLES IN ELT CLASSES

    OpenAIRE

    Ozlem Yagcioglu

    2016-01-01

    In the EFL, ESL, ESP and in the ELT classes, students are taught their courses with different kinds of methods and approaches. Cognitive learning styles are the most essential styles in foreign language education. In this paper, the positive effects of cognitive learning styles will be handled. The benefits of these styles will be highlighted. Games on cognitive learning styles will be explained. Sample classroom activities will be shared. Useful books, videos and websites on cognitive learni...

  6. How learning style affects evidence-based medicine: a survey study.

    Science.gov (United States)

    Zwolsman, Sandra E; van Dijk, Nynke; Verhoeven, Anita A H; de Ruijter, Wouter; Wieringa-de Waard, Margreet

    2011-10-08

    Learning styles determine how people manage new information. Evidence-based medicine (EBM) involves the management of information in clinical practice. As a consequence, the way in which a person uses EBM can be related to his or her learning style. In order to tailor EBM education to the individual learner, this study aims to determine whether there is a relationship between an individual's learning style and EBM competence (knowledge/skills, attitude, behaviour). In 2008, we conducted a survey among 140 novice GP trainees in order to assess their EBM competence and learning styles (Accommodator, Diverger, Assimilator, Converger, or mixed learning style). The trainees' EBM knowledge/skills (scale 0-15; mean 6.8; 95%CI 6.4-7.2) were adequate and their attitudes towards EBM (scale 0-100; mean 63; 95%CI 61.3-64.3) were positive. We found no relationship between their knowledge/skills or attitudes and their learning styles (p = 0.21; p = 0.19). Of the trainees, 40% used guidelines to answer clinical questions and 55% agreed that the use of guidelines is the most appropriate way of applying EBM in general practice. Trainees preferred using evidence from summaries to using evidence from single studies. There were no differences in medical decision-making or in EBM use (p = 0.59) for the various learning styles. However, we did find a link between having an Accommodating or Converging learning style and making greater use of intuition. Moreover, trainees with different learning styles expressed different ideas about the optimal use of EBM in primary care. We found that EBM knowledge/skills and EBM attitudes did not differ with respect to the learning styles of GP trainees. However, we did find differences relating to the use of intuition and the trainees' ideas regarding the use of evidence in decision-making.

  7. How learning style affects evidence-based medicine: a survey study

    Directory of Open Access Journals (Sweden)

    de Ruijter Wouter

    2011-10-01

    Full Text Available Abstract Background Learning styles determine how people manage new information. Evidence-based medicine (EBM involves the management of information in clinical practice. As a consequence, the way in which a person uses EBM can be related to his or her learning style. In order to tailor EBM education to the individual learner, this study aims to determine whether there is a relationship between an individual's learning style and EBM competence (knowledge/skills, attitude, behaviour. Methods In 2008, we conducted a survey among 140 novice GP trainees in order to assess their EBM competence and learning styles (Accommodator, Diverger, Assimilator, Converger, or mixed learning style. Results The trainees' EBM knowledge/skills (scale 0-15; mean 6.8; 95%CI 6.4-7.2 were adequate and their attitudes towards EBM (scale 0-100; mean 63; 95%CI 61.3-64.3 were positive. We found no relationship between their knowledge/skills or attitudes and their learning styles (p = 0.21; p = 0.19. Of the trainees, 40% used guidelines to answer clinical questions and 55% agreed that the use of guidelines is the most appropriate way of applying EBM in general practice. Trainees preferred using evidence from summaries to using evidence from single studies. There were no differences in medical decision-making or in EBM use (p = 0.59 for the various learning styles. However, we did find a link between having an Accommodating or Converging learning style and making greater use of intuition. Moreover, trainees with different learning styles expressed different ideas about the optimal use of EBM in primary care. Conclusions We found that EBM knowledge/skills and EBM attitudes did not differ with respect to the learning styles of GP trainees. However, we did find differences relating to the use of intuition and the trainees' ideas regarding the use of evidence in decision-making.

  8. Lack of interaction between sensing-intuitive learning styles and problem-first versus information-first instruction: a randomized crossover trial.

    Science.gov (United States)

    Cook, David A; Thompson, Warren G; Thomas, Kris G; Thomas, Matthew R

    2009-03-01

    Adaptation to learning styles has been proposed to enhance learning. We hypothesized that learners with sensing learning style would perform better using a problem-first instructional method while intuitive learners would do better using an information-first method. Randomized, controlled, crossover trial. Resident ambulatory clinics. 123 internal medicine residents. Four Web-based modules in ambulatory internal medicine were developed in both "didactic" (information first, followed by patient problem and questions) and "problem" (case and questions first, followed by information) format. Knowledge posttest, format preference, learning style (Index of Learning Styles). Knowledge scores were similar between the didactic (mean +/- standard error, 83.0 +/- 0.8) and problem (82.3 +/- 0.8) formats (p = .42; 95% confidence interval [CI] for difference, -2.3 to 0.9). There was no difference between formats in regression slopes of knowledge scores on sensing-intuitive scores (p = .63) or in analysis of knowledge scores by styles classification (sensing 82.5 +/- 1.0, intermediate 83.7 +/- 1.2, intuitive 81.0 +/- 1.5; p = .37 for main effect, p = .59 for interaction with format). Format preference was neutral (3.2 +/- 0.2 [1 strongly prefers didactic, 6 strongly prefers problem], p = .12), and there was no association between learning styles and preference (p = .44). Formats were similar in time to complete modules (43.7 +/- 2.2 vs 43.2 +/- 2.2 minutes, p = .72). Starting instruction with a problem (versus employing problems later on) may not improve learning outcomes. Sensing and intuitive learners perform similarly following problem-first and didactic-first instruction. Results may apply to other instructional media.

  9. Does learning style influence academic performance in different forms of assessment?

    Science.gov (United States)

    Wilkinson, Tracey; Boohan, Mairead; Stevenson, Michael

    2014-03-01

    Educational research on learning styles has been conducted for some time, initially within the field of psychology. Recent research has widened to include more diverse disciplines, with greater emphasis on application. Although there are numerous instruments available to measure several different dimensions of learning style, it is generally accepted that styles differ, although the qualities of more than one style may be inherent in any one learner. But do these learning styles have a direct effect on student performance in examinations, specifically in different forms of assessment? For this study, hypotheses were formulated suggesting that academic performance is influenced by learning style. Using the Honey and Mumford Learning Style Questionnaire, learning styles of a cohort of first year medical and dental students at Queen's University Belfast were assessed. Pearson correlation was performed between the score for each of the four learning styles and the student examination results in a variety of subject areas (including anatomy) and in different types of assessments - single best answer, short answer questions and Objective Structured Clinical Examinations. In most of the analyses, there was no correlation between learning style and result and in the few cases where the correlations were statistically significant, they generally appeared to be weak. It seems therefore from this study that although the learning styles of students vary, they have little effect on academic performance, including in specific forms of assessment. © 2013 Anatomical Society.

  10. An Adaptive E-Learning System Based on Students' Learning Styles: An Empirical Study

    Science.gov (United States)

    Drissi, Samia; Amirat, Abdelkrim

    2016-01-01

    Personalized e-learning implementation is recognized as one of the most interesting research areas in the distance web-based education. Since the learning style of each learner is different one must fit e-learning with the different needs of learners. This paper presents an approach to integrate learning styles into adaptive e-learning hypermedia.…

  11. Feeding the ELT Students' Needs Through Kolb's Learning Styles Inventory

    Directory of Open Access Journals (Sweden)

    Ayfer SU BERGİL

    2017-12-01

    Full Text Available Contrary to learning styles seem the same as what abilities refer, they are related to them in the sense that they decipher how individuals desire to use their capabilities. There have been diverse learning styles theories intent to explain the individual differences on account of the acceleration and the amount of absorbed knowledge. Learning styles have been defined under the notions of cognitive, affective and physiological attributes that serve as nearly strong indicators of how learners distinguish, combine, and reciprocate to the learning phenomena which gains importance and provide basis for language education process as well. Thus, this study aims to determine the learning styles of English language teaching (ELT students studying at Amasya University, Faculty of Education in 2017-2018 academic year. The participants of the study consist of totally 109 out of 122 from 1st, 2nd, 3rd and 4th grade students of English Language Teaching Department. The data collection instrument was Kolb’s Learning Style Inventory including four sets of work labeled as Concrete Experience, Reflective Observation, Abstract Conceptualization, and Active Experimentation and the students were expected to rank order the 12 items listed for each category via assigning a 4 to the word which best characterizes their learning style, a 3 to the next best, a 2 to the next, and a 1 to the least characteristic word. By this way, ELT students’ dominant learning styles which refer to their learning profiles has been specified descriptively. Furthermore, the learning styles of ELT students has been interconnected with the content of the courses they need to take during their teacher education process and suggestions for the members of ELT departments has been provided based on the findings of these learning styles.

  12. Personalised learning object based on multi-agent model and learners’ learning styles

    Directory of Open Access Journals (Sweden)

    Noppamas Pukkhem

    2011-09-01

    Full Text Available A multi-agent model is proposed in which learning styles and a word analysis technique to create a learning object recommendation system are used. On the basis of a learning style-based design, a concept map combination model is proposed to filter out unsuitable learning concepts from a given course. Our learner model classifies learners into eight styles and implements compatible computational methods consisting of three recommendations: i non-personalised, ii preferred feature-based, and iii neighbour-based collaborative filtering. The analysis of preference error (PE was performed by comparing the actual preferred learning object with the predicted one. In our experiments, the feature-based recommendation algorithm has the fewest PE.

  13. Teacher Uses of Learning Styles

    DEFF Research Database (Denmark)

    Klitmøller, Jacob

    2014-01-01

    Among all the various learning style models, the Dunn & Dunn Learning Style Model (DDLSM) in particular has become a widely used method transforming teaching practice. Dunn & Dunn research literature is scarce when it comes to how the model is used by teachers in general. This is an issue since...... the model is a research-based prescriptive model of teaching. Employing observations and interviews to collect data, the present study investigates teachers’ use of the model. Findings indicate that the DDLSM is used for a number of purposes, some of which are in contradiction to the model prescriptions....

  14. Telecommuting and Learning Style Preference: An Examination of Learning Transfer in the Workplace

    Science.gov (United States)

    Schulz, Lisa C.

    2010-01-01

    Telecommuting learning style preferences were examined in an effort to determine the impact of learning transfer and if employees could benefit from blended training methodologies (i.e., online, face-to-face). Learning style preferences were examined in an effort to promote learning transfer and retention in the workplace. Employees in higher…

  15. Teach Them How They Learn: Learning Styles and Information Systems Education

    Science.gov (United States)

    Cegielski, Casey G.; Hazen, Benjamin T.; Rainer, R. Kelly

    2011-01-01

    The rich, interdisciplinary tradition of learning styles is markedly absent in information systems-related research. The current study applies the framework of learning styles to a common educational component of many of today's information systems curricula--object-oriented systems development--in an effort to answer the question as to whether…

  16. Comparing writing style feature-based classification methods for estimating user reputations in social media.

    Science.gov (United States)

    Suh, Jong Hwan

    2016-01-01

    In recent years, the anonymous nature of the Internet has made it difficult to detect manipulated user reputations in social media, as well as to ensure the qualities of users and their posts. To deal with this, this study designs and examines an automatic approach that adopts writing style features to estimate user reputations in social media. Under varying ways of defining Good and Bad classes of user reputations based on the collected data, it evaluates the classification performance of the state-of-art methods: four writing style features, i.e. lexical, syntactic, structural, and content-specific, and eight classification techniques, i.e. four base learners-C4.5, Neural Network (NN), Support Vector Machine (SVM), and Naïve Bayes (NB)-and four Random Subspace (RS) ensemble methods based on the four base learners. When South Korea's Web forum, Daum Agora, was selected as a test bed, the experimental results show that the configuration of the full feature set containing content-specific features and RS-SVM combining RS and SVM gives the best accuracy for classification if the test bed poster reputations are segmented strictly into Good and Bad classes by portfolio approach. Pairwise t tests on accuracy confirm two expectations coming from the literature reviews: first, the feature set adding content-specific features outperform the others; second, ensemble learning methods are more viable than base learners. Moreover, among the four ways on defining the classes of user reputations, i.e. like, dislike, sum, and portfolio, the results show that the portfolio approach gives the highest accuracy.

  17. Surgical resident learning styles have changed with work hours.

    Science.gov (United States)

    Quillin, Ralph C; Cortez, Alexander R; Pritts, Timothy A; Hanseman, Dennis J; Edwards, Michael J; Davis, Bradley R

    2016-01-01

    The Accreditation Council for Graduate Medical Education instituted the 80-h workweek for residency programs in 2003. This presented a unique challenge for surgery residents who must acquire a medical and technical knowledge base during training. Therefore, learning should be delivered in an environment congruent with an individual's learning style. In this study, we evaluated the learning styles of general surgery residents to determine how learning styles changed after the implementation to the 80-h workweek. Kolb learning style inventory was taken by general surgery residents at the University of Cincinnati's Department of Surgery, and results from 1999-2012 were analyzed. Statistical analysis was performed using the chi-squared, logistic regression and Wilcoxon rank-sum test. Significance was defined as a P value of learning styles after the institution of the 80-h workweek to converging (43.9%) and accommodating (40.4%, P learning. This change paralleled the transition to a more team-based approach to patient care with the implementation of the 80-h workweek. These findings are important for surgical educators to consider in the development of surgical resident curriculum. Copyright © 2016 Elsevier Inc. All rights reserved.

  18. Mathematical disposition of junior high school students viewed from learning styles

    Science.gov (United States)

    Putra, Arief Karunia; Budiyono, Slamet, Isnandar

    2017-08-01

    The relevance of this study is the growth of character values for students in Indonesia. Mathematics is a subject that builds the character values for students. It can be seen from the students' confidence in answering mathematics problems, their persistent and resilience in mathematics task. In addition, students have a curiosity in mathematics and appreciate the usefulness of mathematics. In mathematics, it is called a mathematical disposition. One of the factors that can affect students' mathematical disposition is learning style. Each student has a dominant learning style. Three of the most popular ones are visual, auditory, and kinesthetic. The most important uses of learning styles is that it makes it easy for teachers to incorporate them into their teaching. The purpose of this study was to determine which one that gives better mathematical dispositions among students with learning styles of visual, auditory, or kinesthetic. The subjects were 150 students in Sleman regency. Data obtained through questionnaires. Based on data analysis that has been done with benchmark assessment method, it can be concluded that students with visual learning style has a mathematical disposition better than students with auditory and kinesthetic learning styles, while students with kinesthetic learning style has a mathematical disposition better than students with auditory learning style. These results can be used as a reference for students with individual learning styles to improve the mathematical positive disposition in the learning process of mathematics.

  19. Behavioral Style, Culture, and Teaching and Learning.

    Science.gov (United States)

    Hilliard, Asa G., III

    1992-01-01

    Argues that unique behavioral styles can be identified among African-American populations and that behavioral style may help explain differences in test performance for white and African-American students. Implications for all students of providing stylistic diversity in the schools and student ability to use multiple learning styles are…

  20. A cross-sectional study of learning styles among continuing medical education participants.

    Science.gov (United States)

    Collins, C Scott; Nanda, Sanjeev; Palmer, Brian A; Mohabbat, Arya B; Schleck, Cathy D; Mandrekar, Jayawant N; Mahapatra, Saswati; Beckman, Thomas J; Wittich, Christopher M

    2018-04-27

    Experiential learning has been suggested as a framework for planning continuing medical education (CME). We aimed to (1) determine participants' learning styles at traditional CME courses and (2) explore associations between learning styles and participant characteristics. Cross-sectional study of all participants (n = 393) at two Mayo Clinic CME courses who completed the Kolb Learning Style Inventory and provided demographic data. A total of 393 participants returned 241 surveys (response rate, 61.3%). Among the 143 participants (36.4%) who supplied complete demographic and Kolb data, Kolb learning styles included diverging (45; 31.5%), assimilating (56; 39.2%), converging (8; 5.6%), and accommodating (34; 23.8%). Associations existed between learning style and gender (p = 0.02). For most men, learning styles were diverging (23 of 63; 36.5%) and assimilating (30 of 63; 47.6%); for most women, diverging (22 of 80; 27.5%), assimilating (26 of 80; 32.5%), and accommodating (26 of 80; 32.5%). Internal medicine and psychiatry CME participants had diverse learning styles. Female participants had more variation in their learning styles than men. Teaching techniques must vary to appeal to all learners. The experiential learning theory sequentially moves a learner from Why? to What? to How? to If? to accommodate learning styles.

  1. Learning style preferences: A study of pre-clinical medical students in Barbados

    Science.gov (United States)

    OJEH, NKEMCHO; SOBERS-GRANNUM, NATASHA; GAUR, UMA; UDUPA, ALAYA; MAJUMDER, MD.ANWARUL AZIM

    2017-01-01

    Introduction: Educators need to be aware of different learning styles to effectively tailor instructional strategies and methods to cater to the students’ learning needs and support a conductive learning environment. The VARK [an acronym for visual (V), aural (A), read/write (R) and kinesthetic (K)] instrument is a useful model to assess learning styles. The aim of this study was to use the VARK questionnaire to determine the learning styles of pre-clinical medical students in order to compare the perceived and assessed learning style preferences, assess gender differences in learning style preferences, and determine whether any relationships exists between awareness of learning styles and academic grades, age, gender and learning modality. Methods: The VARK questionnaire was administered to pre-clinical students taking a variety of courses in the first three years of the undergraduate MB BS degree programme at the Faculty of Medical Sciences, The University of the West Indies, Cave Hill Campus, Barbados in 2014. Results: The majority of the students were multimodal learners with no differences observed between males (59.5%) and females (60.0%), with tetramodal being the most common. Read/write (33.8%) followed by kinesthetic (32.5%) were the most common learning style preferences. The sensory modality preference for females was read/write (34.2%) and for males it was kinesthetic (40.5%). Significant differences were observed between the perceived and assessed learning style preferences with a majority of visual and read/write learners correctly matching their perceived to their actual learning styles. Awareness of learning styles was associated with learning modality but not with academic performance, age or gender. Overall, 60.7% of high achievers used multimodal learning compared to 56.9% low achievers. Conclusion: The findings from this study indicated that the VARK tool was useful in gathering information about different learning styles, and might assist

  2. Learning style preferences: A study of pre-clinical medical students in Barbados.

    Science.gov (United States)

    Ojeh, Nkemcho; Sobers-Grannum, Natasha; Gaur, Uma; Udupa, Alaya; Majumder, Md Anwarul Azim

    2017-10-01

    Educators need to be aware of different learning styles to effectively tailor instructional strategies and methods to cater to the students' learning needs and support a conductive learning environment. The VARK [an acronym for visual (V), aural (A), read/write (R) and kinesthetic (K)] instrument is a useful model to assess learning styles. The aim of this study was to use the VARK questionnaire to determine the learning styles of pre-clinical medical students in order to compare the perceived and assessed learning style preferences, assess gender differences in learning style preferences, and determine whether any relationships exists between awareness of learning styles and academic grades, age, gender and learning modality. The VARK questionnaire was administered to pre-clinical students taking a variety of courses in the first three years of the undergraduate MB BS degree programme at the Faculty of Medical Sciences, The University of the West Indies, Cave Hill Campus, Barbados in 2014. The majority of the students were multimodal learners with no differences observed between males (59.5%) and females (60.0%), with tetramodal being the most common. Read/write (33.8%) followed by kinesthetic (32.5%) were the most common learning style preferences. The sensory modality preference for females was read/write (34.2%) and for males it was kinesthetic (40.5%). Significant differences were observed between the perceived and assessed learning style preferences with a majority of visual and read/write learners correctly matching their perceived to their actual learning styles. Awareness of learning styles was associated with learning modality but not with academic performance, age or gender. Overall, 60.7% of high achievers used multimodal learning compared to 56.9% low achievers. The findings from this study indicated that the VARK tool was useful in gathering information about different learning styles, and might assist educators in designing blended teaching

  3. Learning style preferences: A study of Pre-clinical Medical Students in Barbados

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    NKEMCHO OJEH

    2017-10-01

    Full Text Available Introduction: Educators need to be aware of different learning styles to effectively tailor instructional strategies and methods to cater to the students’ learning needs and support a conductive learning environment. The VARK [an acronym for visual (V, aural (A, read/write (R and kinesthetic (K] instrument is a useful model to assess learning styles. The aim of this study was to use the VARK questionnaire to determine the learning styles of pre-clinical medical students in order to compare the perceived and assessed learning style preferences, assess gender differences in learning style preferences, and determine whether any relationships exists between awareness of learning styles and academic grades, age, gender and learning modality. Methods: The VARK questionnaire was administered to preclinical students taking a variety of courses in the first three years of the undergraduate MB BS degree programme at the Faculty of Medical Sciences, The University of the West Indies, Cave Hill Campus, Barbados in 2014. Results: The majority of the students were multimodal learners with no differences observed between males (59.5% and females (60.0%, with tetramodal being the most common. Read/write (33.8% followed by kinesthetic (32.5% were the most common learning style preferences. The sensory modality preference for females was read/write (34.2% and for males it was kinesthetic (40.5%. Significant differences were observed between the perceived and assessed learning style preferences with a majority of visual and read/write learners correctly matching their perceived to their actual learning styles. Awareness of learning styles was associated with learning modality but not with academic performance, age or gender. Overall, 60.7% of high achievers used multimodal learning compared to 56.9% low achievers. Conclusion: The findings from this study indicated that the VARK tool was useful in gathering information about different learning styles, and might

  4. Pre-Service Teachers' Constructivist Teaching Scores Based on Their Learning Styles

    Science.gov (United States)

    Kablan, Zeynel; Kaya, Sibel

    2014-01-01

    This study examined the relationship between pre-service teachers' constructivist teaching and their learning styles based on Kolb's Experiential Learning Theory. The Learning Styles Inventory-3 was administered at the beginning of the semester to determine preferred learning style. The Constructivist Teaching Evaluation Form was filled out by…

  5. [Learning styles in medical residents and their professors of a pediatric hospital.

    Science.gov (United States)

    Juárez-Muñoz, Irina Elizabeth; Gómez-Negrete, Alonso; Varela-Ruiz, Margarita; Mejía-Aranguré, Juan Manuel; Mercado-Arellano, José Agustín; Sciandra-Rico, Martha Minerva; Matute-González, Mario Manuel

    2013-01-01

    Background: the learning styles are cognitive, emotional, and psychological characteristics, which function as relatively stable indicators of how teachers and students perceive, interact, and respond to their learning environments. Knowing students' styles allows teachers to have tools to improve medical education. Our objective was to identify learning styles in pediatric residents and professors from a pediatric hospital. Methods: a learning styles questionnaire was applied to residents and theirs professors; data was analyzed in SPSS 12 software. Results: the dominant learning style in pediatric residents was reflexive and for professors was theoretical. There wasn't any difference between sexes or between medical or surgical specialities. There was more correlation between professors and residents when there was an increase in training time. Conclusions: the learning styles between professors and residents are different, especially at the beginning of the medical specialty courses; that's why it is necessary to realize a confrontation between the students' learning styles and teaching methods used by professors to improve significant learning. To know learning styles gives residents an important alternative to find a better study strategy.

  6. Style-based classification of Chinese ink and wash paintings

    Science.gov (United States)

    Sheng, Jiachuan; Jiang, Jianmin

    2013-09-01

    Following the fact that a large collection of ink and wash paintings (IWP) is being digitized and made available on the Internet, their automated content description, analysis, and management are attracting attention across research communities. While existing research in relevant areas is primarily focused on image processing approaches, a style-based algorithm is proposed to classify IWPs automatically by their authors. As IWPs do not have colors or even tones, the proposed algorithm applies edge detection to locate the local region and detect painting strokes to enable histogram-based feature extraction and capture of important cues to reflect the styles of different artists. Such features are then applied to drive a number of neural networks in parallel to complete the classification, and an information entropy balanced fusion is proposed to make an integrated decision for the multiple neural network classification results in which the entropy is used as a pointer to combine the global and local features. Evaluations via experiments support that the proposed algorithm achieves good performances, providing excellent potential for computerized analysis and management of IWPs.

  7. Learning styles and approaches to learning among medical undergraduates and postgraduates.

    Science.gov (United States)

    Samarakoon, Lasitha; Fernando, Tharanga; Rodrigo, Chaturaka

    2013-03-25

    The challenge of imparting a large amount of knowledge within a limited time period in a way it is retained, remembered and effectively interpreted by a student is considerable. This has resulted in crucial changes in the field of medical education, with a shift from didactic teacher centered and subject based teaching to the use of interactive, problem based, student centered learning. This study tested the hypothesis that learning styles (visual, auditory, read/write and kinesthetic) and approaches to learning (deep, strategic and superficial) differ among first and final year undergraduate medical students, and postgraduates medical trainees. We used self administered VARK and ASSIST questionnaires to assess the differences in learning styles and approaches to learning among medical undergraduates of the University of Colombo and postgraduate trainees of the Postgraduate Institute of Medicine, Colombo. A total of 147 participated: 73 (49.7%) first year students, 40 (27.2%) final year students and 34(23.1%) postgraduate students. The majority (69.9%) of first year students had multimodal learning styles. Among final year students, the majority (67.5%) had multimodal learning styles, and among postgraduates, the majority were unimodal (52.9%) learners.Among all three groups, the predominant approach to learning was strategic. Postgraduates had significant higher mean scores for deep and strategic approaches than first years or final years (p learning approaches suggest a positive shift towards deep and strategic learning in postgraduate students. However a similar difference was not observed in undergraduate students from first year to final year, suggesting that their curriculum may not have influenced learning methodology over a five year period.

  8. Learning strategies used by cardiology residents: assessment of learning styles and their correlations.

    Science.gov (United States)

    de Lima, Alberto Alves; Bettati, María Ines; Baratta, Sergio; Falconi, Mariano; Sokn, Fernando; Galli, Amanda; Barrero, Carlos; Cagide, Arturo; Iglesias, Ricardo

    2006-11-01

    To identify the learning styles of a group of cardiology residents (R) undergoing a training program at the University of Buenos Aires and to identify correlations of these styles. Statistical data were obtained through a 120-question survey developed by Vermunt and colleagues, which identified four different learning styles: construction-directed; reproduction-directed; application-directed; and undirected. Four variables were identified [gender, previous experience as a teaching assistant (TA) in medical school, university final average (FA) and the public or private institution/centre of origin] in order to analyse level of correlation with learning styles (LS). Between April 2001 and April 2002, 149 residents (R) completed the survey. Average age was 29 (+/-2.7) years old; with 63% being men. The predominant LS were oriented toward knowledge application. In terms of variables, no differences regarding gender were detected; the R with TA showed undirected LS characteristics; those with a low FA registered a tendency towards reproduction-directed LS; and those residents at public/state medical centres indicated construction-directed LS tendencies. An application-directed learning style predominates in this group of residents. Information regarding learning styles can provide foundations upon which arguments can be made for changes in education that are traditionally not evidence-based.

  9. The Positive Effects of Cognitive Learning Styles in ELT Classes

    Science.gov (United States)

    Yagcioglu, Ozlem

    2016-01-01

    In the EFL, ESL, ESP and in the ELT classes, students are taught their courses with different kinds of methods and approaches. Cognitive learning styles are the most essential styles in foreign language education. In this paper, the positive effects of cognitive learning styles will be handled. The benefits of these styles will be highlighted.…

  10. Parenting Styles and Learned Resourcefulness of Turkish Adolescents

    Science.gov (United States)

    Turkel, Yesim Deniz; Tezer, Esin

    2008-01-01

    This study investigated the differences among 834 high school students regarding learned resourcefulness in terms of perceived parenting style and gender. The data were gathered by administering the Parenting Style Inventory (PSI) and Rosenbaum's Self-Control Schedule (SCS). The results of ANOVA pertaining to the scores of learned resourcefulness…

  11. The Relationship between Learning Style and Academic Achievement.

    Science.gov (United States)

    Farrell-Moskwa, Claire

    A study investigated the correlation between students' learning styles and their academic achievement on report cards and standardized tests. Subjects were 58 fifth-grade students in a suburban middle school. The "Learning Style Inventory" by Brown and Cooper was administered to this population, and students' academic averages and…

  12. Learning Styles of Pilots Currently Qualified in United States Air Force Aircraft

    Science.gov (United States)

    Kanske, Craig A.

    2001-01-01

    Kolb's Learning Style Inventory was used to identify the predominant learning styles of pilots currently qualified in United States Air Force aircraft. The results indicate that these pilots show a significant preference for facts and things over people and feelings. By understanding the preferred learning styles of the target population, course material can be developed that take advantage of the strengths of these learning styles. This information can be especially useful in the future design of cockpit resource management training. The training program can be developed to demonstrate both that there are different learning styles and that it is possible to take advantage of the relative strengths of each of these learning styles.

  13. Crosscultural Differences in Learning Styles of Secondary English Learners.

    Science.gov (United States)

    Park, Clara C.

    2002-01-01

    Learning styles were investigated for 857 English-learners of Armenian, Hmong, Korean, Mexican, and Vietnamese origin in 20 California high schools. All ethnic groups indicated major or minor preferences for kinesthetic/tactile and visual learning styles. Groups differed in preferences for group versus individual learning. Some preferences were…

  14. Targeting Academic Programs to Student Diversity Utilizing Learning Styles and Learning-Study Strategies.

    Science.gov (United States)

    Grimes, Sue K.

    1995-01-01

    A diagnostic, prescriptive model was utilized (n=394) in identification of learning styles and learning-study strategies of diverse student groups and in the analysis of prescriptive methods to address their specific needs. High-risk groups demonstrated auditory, tactile concrete, and group learning style preferences and were weaker on cognitive,…

  15. FACET CLASSIFICATIONS OF E-LEARNING TOOLS

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    Olena Yu. Balalaieva

    2013-12-01

    Full Text Available The article deals with the classification of e-learning tools based on the facet method, which suggests the separation of the parallel set of objects into independent classification groups; at the same time it is not assumed rigid classification structure and pre-built finite groups classification groups are formed by a combination of values taken from the relevant facets. An attempt to systematize the existing classification of e-learning tools from the standpoint of classification theory is made for the first time. Modern Ukrainian and foreign facet classifications of e-learning tools are described; their positive and negative features compared to classifications based on a hierarchical method are analyzed. The original author's facet classification of e-learning tools is proposed.

  16. Investigating the Relationship between Learning Styles and ESP Reading Strategies in Academic Setting

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    Parviz Ajideh

    2018-05-01

    Full Text Available The present study investigated the relationship between Art and Science students’ learning styles and their ESP reading strategies in academic settings. Learning styles are defined as general orientations learners take toward their learning experiences. This notion has recently obtained attention in the area of language learning. Strategies are also defined as specific behaviours or techniques learners employ towards leaning in order to achieve their learning goals. The strategies chosen are often linked to the individual's learning style. The purpose of this study was to identify Art and Science students’ major learning style preferences and their strategies they employ to tackle their reading materials in ESP courses at Tabriz Islamic Art University. To this end, 313 Art and Science students at Tabriz Islamic Art University answered two self-report questionnaires (PLSPQ and SORS to identify their major and minor learning styles as well as their reading strategies in ESP reading. In order to find any relationship between the students’ preferred learning style (s and their reading strategies in ESP, Pearson Product Moment Coefficient r was used to analyze the participants’ answers to the questionnaires. The results showed that Art students favored Kinesthetic, Auditory, Visual and Tactile learning styles as their major learning styles while Science students showed preference to only Kinesthetic Learning style as their major learning style and other learning styles as their minor ones. It was also found that the most dominant reading strategies both Art and Science students apply in reading their ESP texts was cognitive strategies. Correlational analyses of their major learning styles and their reading strategies are discussed.

  17. Student Achievement in Basic College Mathematics: Its Relationship to Learning Style and Learning Method

    Science.gov (United States)

    Gunthorpe, Sydney

    2006-01-01

    From the assumption that matching a student's learning style with the learning method best suited for the student, it follows that developing courses that correlate learning method with learning style would be more successful for students. Albuquerque Technical Vocational Institute (TVI) in New Mexico has attempted to provide students with more…

  18. Individual Learning Styles and Creativity

    Science.gov (United States)

    Sitar, Aleša Saša; Cerne, Matej; Aleksic, Darija; Mihelic, Katarina Katja

    2016-01-01

    Business schools are in need of developing creative graduates. This article explores how creativity among business students can be stimulated. Because a considerable amount of knowledge is required for creative ideas to emerge, the learning process has a significant impact on creativity. This, in turn, indicates that learning style is important…

  19. Experiential learning and changing leadership style.

    Science.gov (United States)

    Zanecchia, M D

    1985-11-01

    One of the many problems facing the nursing profession today is the lack of preparedness of its leaders. Nursing educators, collaborating with nursing service, can teach baccalaureate students leadership skills and to develop leadership styles. Experiential real-world management tasks selected by faculty and head nurses can serve as learning opportunities. Students can learn leadership ability and change style. Utilizing t-test, the before and after course mean scores on the standardized Leadership Ability Evaluation instrument were statistically analyzed. Significant differences and style changes were identified. Students in the total class became more effective leaders as did the students in both the traditional and experiential groups. Traditional students (lecture only) became less autocratic-submissive and more democratic. The experiential group significantly became less autocratic-aggressive, less laissez-faire and more democratic.

  20. Evidence-Based Higher Education – Is the Learning Styles ‘Myth’ Important?

    Science.gov (United States)

    Newton, Philip M.; Miah, Mahallad

    2017-01-01

    The basic idea behind the use of ‘Learning Styles’ is that learners can be categorized into one or more ‘styles’ (e.g., Visual, Auditory, Converger) and that teaching students according to their style will result in improved learning. This idea has been repeatedly tested and there is currently no evidence to support it. Despite this, belief in the use of Learning Styles appears to be widespread amongst schoolteachers and persists in the research literature. This mismatch between evidence and practice has provoked controversy, and some have labeled Learning Styles a ‘myth.’ In this study, we used a survey of academics in UK Higher Education (n = 114) to try and go beyond the controversy by quantifying belief and, crucially, actual use of Learning Styles. We also attempted to understand how academics view the potential harms associated with the use of Learning Styles. We found that general belief in the use of Learning Styles was high (58%), but lower than in similar previous studies, continuing an overall downward trend in recent years. Critically the percentage of respondents who reported actually using Learning Styles (33%) was much lower than those who reported believing in their use. Far more reported using a number of techniques that are demonstrably evidence-based. Academics agreed with all the posited weaknesses and harms of Learning Styles theory, agreeing most strongly that the basic theory of Learning Styles is conceptually flawed. However, a substantial number of participants (32%) stated that they would continue to use Learning Styles despite being presented with the lack of an evidence base to support them, suggesting that ‘debunking’ Learning Styles may not be effective. We argue that the interests of all may be better served by promoting evidence-based approaches to Higher Education. PMID:28396647

  1. Mathematical Creative Thinking Ability of the Seventh Grade Students in Terms of Learning Styles to the Preview-Question-Read-Reflect-Recite-Review (PQ4R Learning

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    Fiatun Istiqomah

    2017-08-01

    Full Text Available The purpose of this study are: (1 to know the effectiveness of PQ4R learning model in improving the creative thinking skills of the learners; (2 to know the classifications of the learners based on the levels of creative thinking skills; and (3 to describe the misconception which hampers the creative thinking skills at low level in  from the learning styles of the learners. The population in this study is the seventh grade students of SMP N 21 Semarang. The method in this study is mixed method research. Quantitative data analysis uses t-test, z-test, and normalized gain test. Analysis of qualitative data using data reduction stages, data presentation, and conclusions. The results show: (1 PQ4R learning model is effective in improving the creative thinking ability of the learners; (2 the classifications of the learners based on the levels of creative thinking ability which have variations the are many of the learners who are different in each level; and (3 misconception which hampers the creative thinking skills at low level with the learning styles: (a visual meets four misconception indicators, (b auditorial meets three misconception indicators, and (c kinesthetic meets six misconception indicators.

  2. An Examination of Georgia Young Farmer Program Participants’ Learning Style Preferences

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    Barry S. Bailey

    2017-10-01

    Full Text Available This study was designed to describe Georgia Young Farmer Program participants’ learning style preferences. Using survey research methods, a questionnaire was designed to collect data related to the purpose of the study. The population for this study included active members in the program. Study findings showed that participants had a preference for kinesthetic learning over visual and auditory learning. While participants indicated a preference for kinesthetic learning, all three learning styles were deemed effective. Preferences for learning styles and perception of effectiveness did not differ by personal characteristics. Recommendations include taking learning style preferences into account when designing and delivering programming, training for teachers, and continuing to assess learners’ preferences.

  3. The relationship between learning preferences (styles and approaches) and learning outcomes among pre-clinical undergraduate medical students.

    Science.gov (United States)

    Liew, Siaw-Cheok; Sidhu, Jagmohni; Barua, Ankur

    2015-03-11

    Learning styles and approaches of individual undergraduate medical students vary considerably and as a consequence, their learning needs also differ from one student to another. This study was conducted to identify different learning styles and approaches of pre-clinical, undergraduate medical students and also to determine the relationships of learning preferences with performances in the summative examinations. A cross-sectional study was conducted among randomly selected 419 pre-clinical, undergraduate medical students of the International Medical University (IMU) in Kuala Lumpur. The number of students from Year 2 was 217 while that from Year 3 was 202. The Visual, Auditory, Read/Write, Kinesthetic (VARK) and the Approaches and Study Skills Inventory for Students (ASSIST) questionnaires were used for data collection. This study revealed that 343 students (81.9%) had unimodal learning style, while the remaining 76 (18.1%) used a multimodal learning style. Among the unimodal learners, a majority (30.1%) were of Kinesthetic (K) type. Among the middle and high achievers in summative examinations, a majority had unimodal (Kinaesthetic) learning style (30.5%) and were also strategic/deep learners (79.4%). However, the learning styles and approaches did not contribute significantly towards the learning outcomes in summative examinations. A majority of the students in this study had Unimodal (Kinesthetic) learning style. The learning preferences (styles and approaches) did not contribute significantly to the learning outcomes. Future work to re-assess the viability of these learning preferences (styles and approaches) after the incorporation of teaching-learning instructions tailored specifically to the students will be beneficial to help medical teachers in facilitating students to become more capable learners.

  4. Learning Styles and Teacher Training: Are We Perpetuating Neuromyths?

    Science.gov (United States)

    Lethaby, Carol; Harries, Patricia

    2016-01-01

    Recent research suggests that brain-based teaching, as exhibited in the idea of teaching to address perceptual learning styles, has no basis in what scientists are learning about the brain and how it works. This article questions whether training teachers to assess and accommodate learning styles is harmless or potentially poor educational…

  5. Critical thinking dispositions and learning styles of baccalaureate nursing students from China.

    Science.gov (United States)

    Zhang, Huan; Lambert, Vickie

    2008-09-01

    Although considerable information exists regarding the learning styles and critical thinking dispositions of nursing students from Western countries, limited comparable information exists within China. The purposes of this study were to assess the learning styles and critical thinking dispositions of Chinese baccalaureate nursing students and to identify the relationships among the learning styles, critical thinking dispositions, and demographics. The sample consisted of 100 Chinese baccalaureate nursing students enrolled at two universities. The data were obtained through a Demographic Data Questionnaire, the California Critical Thinking Disposition Inventory, and the Index of Learning Styles. The primary learning style dimensions were found to be reflective, sensing, visual, and global, while the critically thinking abilities was found to be weak. A number of positive and negative correlations were found among the demographics, learning styles, and critical thinking dispositions. These findings suggest further examination on how to increase nursing students' critical thinking skills based upon their preferred learning styles.

  6. Learning styles of students of Baqiyatallah University of Medical Sciences in 2012

    Directory of Open Access Journals (Sweden)

    Hojat Rashidi-jahan

    2013-06-01

    Full Text Available Introduction: Understanding the learning styles of students may help educational planning and improve the learning. This study aims to assess learning styles, and relevant determinants, of students who study in various disciplines of medical sciences at Baqiyatallah University of Medical Sciences (BUMS in 2012. Methods: In this cross-sectional study, 180 students from BUMS were selected randomly. Data were collected sing the Kolb learning style questionnaire during April/May 2012. One-way ANOVA, Student t-test, Chi-square or Fisher exact tests were used for analyzing the data. Results: The mean age of participants was 29.3±7.0, majority of them were males. The preferred learning styles were diverger (76.7%, accommodator (12.8%, assimilator (7.8% and converger (2.8% respectively. The results showed that the factors such as age, sex, marriage status, father and mother education, grade point average (GPA and academic degree could be important to determine learning style characteristics of students. The findings also indicate that the preferred learning style among the students with different GPAs or academic degrees are not different considerably. Conclusion: Regarding the most preferred leaning style by the, proper planning to address proper teaching styles according to the preferred learning styles is necessary.

  7. The Effect of Cooperative Learning Model and Kolb Learning Styles on Learning Result of the Basics of Politics

    Science.gov (United States)

    Sugiharto

    2015-01-01

    The aims of this research were to determine the effect of cooperative learning model and learning styles on learning result. This quasi-experimental study employed a 2x2 treatment by level, involved independent variables, i.e. cooperative learning model and learning styles, and learning result as the dependent variable. Findings signify that: (1)…

  8. Self-assessed learning style correlates to use of supplemental learning materials in an online course management system.

    Science.gov (United States)

    Halbert, Caitlin; Kriebel, Richard; Cuzzolino, Robert; Coughlin, Patrick; Fresa-Dillon, Kerin

    2011-01-01

    The benefit of online learning materials in medical education is not well defined. The study correlated certain self-identified learning styles with the use of self-selected online learning materials. First-year osteopathic medical students were given access to review and/or summary materials via an online course management system (CMS) while enrolled in a pre-clinical course. At the end of the course, students completed a self-assessment of learning style based on the Index of Learning Styles and a brief survey regarding their usage and perceived advantage of the online learning materials. Students who accessed the online materials earned equivalent grades to those who did not. However, the study found that students who described their learning styles as active, intuitive, global, and/or visual were more likely to use online educational resources than those who identified their learning style as reflective, sensing, sequential, and/or verbal. Identification of a student's learning style can help medical educators direct students to learning resources that best suit their individual needs.

  9. The Relationship between Kolb's Learning Styles and StrengthsFinder's Talent Themes

    Science.gov (United States)

    Caldwell, Adonna B.

    2009-01-01

    The purpose of this study was to investigate if there were relationships between college students' talent themes as defined by the Clifton StrengthsFinder(TM) Instrument and their learning style as defined by Kolb Learning Styles Inventory. Logistical regression methodology was utilized to assess the relationship between learning styles and talent…

  10. Learning styles and critical thinking relationship in baccalaureate nursing education: a systematic review.

    Science.gov (United States)

    Andreou, Christos; Papastavrou, Evridiki; Merkouris, Anastasios

    2014-03-01

    Critical thinking is a desirable competency for contemporary nurses although there are growing concerns supporting a disturbing paucity in its achievement. Learning styles reflect habitual behaviors which determine distinct preferences within learning situations. Evidence suggests that critical thinking could evolve through learning processes. Variances in critical thinking achievement by nursing students might therefore be influenced by individual learning preferences. The concepts "learning styles" and "critical thinking" have been independently examined in the nursing literature. No reviews were found however exploring their association in nursing education. To identify the potential relationships between learning styles and critical thinking in baccalaureate nursing students. Systematic review. Eleven electronic databases were utilized without geographical and time publishing filters. Hand-searching journals and scanning references from retrieved studies were also performed. Databases were searched for descriptive correlational studies which considered the relationship between learning styles and critical thinking in baccalaureate nursing students. The authors independently progressed three stage screening. Retrieved articles were reviewed at title, abstract and full text levels according to predetermined criteria. All included studies were quality appraised using a rating tool for descriptive studies. Six studies were finally included. Findings were grouped under four key themes: predominant learning styles, critical thinking scoring, critical thinking evolution across academic progress and learning styles-critical thinking correlations. Learning styles' diversities, weak critical thinking and inconsistent evolution through academic progress were revealed across studies. Critical thinking differed significantly between learning styles. Commonly accepted models in nursing education were lacking in both learning styles and critical thinking. Within studies

  11. Towards a Finer-Grained Classification of Translation Styles Based on Eye-Tracking, Key-Logging and RTP Data

    DEFF Research Database (Denmark)

    Feng, Jia; Carl, Michael

    This research endeavors to reach a finer-grained classification of translation styles based on observations of Translation Progression Graphs that integrate translation process data and translation product data. Translation styles are first coded based on the findings and classification of Jakobsen...... for the translation tasks. Each translation task is immediately followed by a retrospective protocol with the eye-tracking replay as the cue. We are also interested to see whether translation directionality and source text difficulty would have an impact on translation styles. We try to explore 1) the translation...... styles in terms of different ways of allocating attention to the three phases of translation process, 2) the translation styles in the orientation phase, 3) the translation styles in the drafting phase, with a special focus on online-planning, backtracking, online-revision, as well as the distribution...

  12. Learning style and concept acquisition of community college students in introductory biology

    Science.gov (United States)

    Bobick, Sandra Burin

    This study investigated the influence of learning style on concept acquisition within a sample of community college students in a general biology course. There are two subproblems within the larger problem: (1) the influence of demographic variables (age, gender, number of college credits, prior exposure to scientific information) on learning style, and (2) the correlations between prior scientific knowledge, learning style and student understanding of the concept of the gene. The sample included all students enrolled in an introductory general biology course during two consecutive semesters at an urban community college. Initial data was gathered during the first week of the semester, at which time students filled in a short questionnaire (age, gender, number of college credits, prior exposure to science information either through reading/visual sources or a prior biology course). Subjects were then given the Inventory of Learning Processes-Revised (ILP-R) which measures general preferences in five learning styles; Deep Learning; Elaborative Learning, Agentic Learning, Methodical Learning and Literal Memorization. Subjects were then given the Gene Conceptual Knowledge pretest: a 15 question objective section and an essay section. Subjects were exposed to specific concepts during lecture and laboratory exercises. At the last lab, students were given the Genetics Conceptual Knowledge Posttest. Pretest/posttest gains were correlated with demographic variables and learning styles were analyzed for significant correlations. Learning styles, as the independent variable in a simultaneous multiple regression, were significant predictors of results on the gene assessment tests, including pretest, posttest and gain. Of the learning styles, Deep Learning accounted for the greatest positive predictive value of pretest essay and pretest objective results. Literal Memorization was a significant negative predictor for posttest essay, essay gain and objective gain. Simultaneous

  13. INFLUENCE OF LEARNING STRATEGIES ON LEARNING STYLES: THEIR IMPACT ON ACADEMIC ACHIEVEMENT OF COLLEGE STUDENTS FROM BUENOS AIRES

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    Agustín Freiberg-Hoffmann

    2017-02-01

    Full Text Available Frequently, college students have issues to learn academic contents included in the subjects of their courses. Such low quality learning is reflected in failures and academic dropout, therefore being matters of concern for teachers and governments. Learning processes in college depend, in part, on the coincidence between teaching methods and students’ learning styles. They are defined as the preference of students when they have to deal with information, particularly the way to perceive it and process it. Learning styles can be trained by the repeated use of specific learning strategies. In such cases, when learning styles coincide with the learning context in order to facilitate the acquisition of new knowledge and its integration with previous information, academic success can be achieved more naturally. To get this match it is required from teachers to adapt their styles and strategies to their students’ learning preferences. Other alternative rests on the design of actions to train students in the use of the appropriate learning styles able to enhance learning. Focused on the second option, the present study aims at: 1 the description of the influence of different learning strategies on each learning style, and 2 the analysis of the way each style explains students’ academic achievement. A transversal, non-experimental, explicative design was employed. 763 college students from Buenos Aires with ages ranging from 17 to 36 years were included in the sample. Locally adapted versions of the Honey-Alonso Questionnaire of Learning Styles -CHAEA as its Spanish acronym-, and Learning and Study Strategies Inventory –LASSI- were used for data gathering. Results showed that the Accommodating style is explained positively and significantly by the Collaborative Learning, Resources for Learning and Information 2.0 Management Competence strategies. Besides, it is observed that the strategies Collaborative Learning, Resources for Learning and

  14. Working memory supports inference learning just like classification learning.

    Science.gov (United States)

    Craig, Stewart; Lewandowsky, Stephan

    2013-08-01

    Recent research has found a positive relationship between people's working memory capacity (WMC) and their speed of category learning. To date, only classification-learning tasks have been considered, in which people learn to assign category labels to objects. It is unknown whether learning to make inferences about category features might also be related to WMC. We report data from a study in which 119 participants undertook classification learning and inference learning, and completed a series of WMC tasks. Working memory capacity was positively related to people's classification and inference learning performance.

  15. Adaptation of the Grasha Riechman Student Learning Style Survey and Teaching Style Inventory to assess individual teaching and learning styles in a quality improvement collaborative.

    Science.gov (United States)

    Ford, James H; Robinson, James M; Wise, Meg E

    2016-09-29

    NIATx200, a quality improvement collaborative, involved 201 substance abuse clinics. Each clinic was randomized to one of four implementation strategies: (a) interest circle calls, (b) learning sessions, (c) coach only or (d) a combination of all three. Each strategy was led by NIATx200 coaches who provided direct coaching or facilitated the interest circle and learning session interventions. Eligibility was limited to NIATx200 coaches (N = 18), and the executive sponsor/change leader of participating clinics (N = 389). Participants were invited to complete a modified Grasha Riechmann Student Learning Style Survey and Teaching Style Inventory. Principal components analysis determined participants' preferred learning and teaching styles. Responses were received from 17 (94.4 %) of the coaches. Seventy-two individuals were excluded from the initial sample of change leaders and executive sponsors (N = 389). Responses were received from 80 persons (25.2 %) of the contactable individuals. Six learning profiles for the executive sponsors and change leaders were identified: Collaborative/Competitive (N = 28, 36.4 %); Collaborative/Participatory (N = 19, 24.7 %); Collaborative only (N = 17, 22.1 %); Collaborative/Dependent (N = 6, 7.8 %); Independent (N = 3, 5.2 %); and Avoidant/Dependent (N = 3, 3.9 %). NIATx200 coaches relied primarily on one of four coaching profiles: Facilitator (N = 7, 41.2 %), Facilitator/Delegator (N = 6, 35.3 %), Facilitator/Personal Model (N = 3, 17.6 %) and Delegator (N = 1, 5.9 %). Coaches also supported their primary coaching profiles with one of eight different secondary coaching profiles. The study is one of the first to assess teaching and learning styles within a QIC. Results indicate that individual learners (change leaders and executive sponsors) and coaches utilize multiple approaches in the teaching and practice-based learning of quality improvement (QI) processes

  16. Learning styles of preclinical students in a medical college in western Nepal.

    Science.gov (United States)

    Shankar, P R; Dubey, A K; Binu, V S; Subish, P; Deshpande, V Y

    2006-01-01

    Information on the learning styles of medical students are lacking in medical colleges in Nepal. Learning styles may be associated with student understanding and may predict success in examination. The present study was carried out to obtain information on learning styles and preferences for teaching of fourth semester medical students and note the association, if any, between respondents' personal characteristics and preferences for learning styles and types of teaching. The correlation between preferences for learning styles and types of teaching and performance in the second year university examination was also explored. The study was carried out during October 2003 at the Manipal College of Medical Sciences, Pokhara, Nepal using the Approaches and Study Skills Inventory (ASSIST) instrument. Information on the respondents' personal characteristics was collected. Respondents had to indicate their degree of agreement with a set of statements using a modified Likert-type scale. The statements were grouped into three main learning styles and two types of teaching. The median scores among different subgroups of respondents were compared using appropriate non-parametric tests (peducated in English medium schools. The median scores for deep and surface learning styles were 64 and 49 respectively (maximum score=80). The scores for strategic learning was 75.5 (maximum score=100). There was no clear preference for any particular type of teaching. Indian students used more surface apathetic learning strategies compared to others. There was a negative correlation between surface learning and marks obtained in the final examination. The students mainly used deep and strategic learning styles. Differences in preference for learning styles and types of teaching were noted according the respondents' personal characteristics. This was a preliminary study and further studies are required.

  17. Another nail in the coffin for learning styles? Disparities among undergraduate anatomy students' study strategies, class performance, and reported VARK learning styles.

    Science.gov (United States)

    Husmann, Polly R; O'Loughlin, Valerie Dean

    2018-03-13

    The concept and existence of learning styles has been fraught with controversy, and recent studies have thrown their existence into doubt. Yet, many students still hold to the conventional wisdom that learning styles are legitimate, and may adapt their outside of class study strategies to match these learning styles. Thus, this study aims to assess if undergraduate anatomy students are more likely to utilize study strategies that align with their hypothetical learning styles (using the VARK analysis from Fleming and Mills, , Improve Acad. 11:137-155) and, if so, does this alignment correlate with their outcome in an anatomy course. Relatedly, this study examines whether students' VARK learning styles are correlated with course outcomes regardless of the students' study strategies, and whether any study strategies are correlated with course outcomes, regardless of student-specific VARK results. A total of 426 anatomy students from the 2015 and 2016 Fall semesters completed a study strategies survey and an online VARK questionnaire. Results demonstrated that most students did not report study strategies that correlated with their VARK assessment, and that student performance in anatomy was not correlated with their score in any VARK categories. Rather, some specific study strategies (irrespective of VARK results), such as use of the virtual microscope, were found to be positively correlated with final class grade. However, the alignment of these study strategies with VARK results had no correlation with anatomy course outcomes. Thus, this research provides further evidence that the conventional wisdom about learning styles should be rejected by educators and students alike. Anat Sci Educ. © 2018 American Association of Anatomists. © 2018 American Association of Anatomists.

  18. KINAESTHETIC LEARNING STYLE AND ITS USAGE IN LEARNING PROCESS IN BASIC SCHOOL

    OpenAIRE

    Jonāne, Lolita

    2018-01-01

    The aim of the research is to explore the possibilities and methodological solutions of using kinaesthetic teaching style in the teaching/learning process in basic school and its impact on pupil involvement in learning activities and attainment of goals. Qualitative  and quantitative methods  - experienced teacher’s survey and student-trainee survey  after observation and analysys of lessons at school are used during the study. It is concluded that: 1)the kinesthetic style of learning involve...

  19. Profile of students’ learning styles in Sorogan-Bandongan organic chemistry lecture

    Science.gov (United States)

    Rinaningsih; Kadarohman, A.; Firman, H.; Sutoyo

    2018-05-01

    Individual-based independent curriculum as one of target of national education of Indonesia in XXI century can be achieved with the implementation of Sorogan-Bandongan model. This kind of learning model highly facilitates students in understanding various concepts with their own, respective learning styles. This research aims to perceive the effectiveness of Sorogan-Bandongan in increasing the mastery of concept in various learning styles. The samples of this research are students majoring in chemistry amounted to 31 students. Using pre-test and post-test instrument, data are analyzed in descriptive-qualitative method. Based on the result of the data analysis, it is found that 16% of students have mathematical/logical learning style, 22.6% naturalist, 9.7% visual/spatial, 13% kinesthetic, 6% linguistic, 13% intrapersonal, 9.7% interpersonal, and 10% musical. After the implementation of Sorogan-Bandongan model in the Organic Chemistry lectures, improvement of classical learning outcomes as 11,07 is obtained. Six out of eight learning styles of students experienced increase in mastery of concept, where 7 students have the naturalist learning style, 4 students experienced decrease in mastery of concept while 1 student is stagnant (0); meanwhile, 2 out of 4 students that have the interpersonal learning style experienced decrease in mastery of concept.

  20. A prospective cohort study examining the preferred learning styles of acute care registered nurses.

    Science.gov (United States)

    McCrow, Judy; Yevchak, Andrea; Lewis, Peter

    2014-03-01

    This paper reports on the preferred learning styles of Registered Nurses practicing in acute care environments and relationships between gender, age, post-graduate experience and the identified preferred learning styles. A prospective cohort study design was used. Participants completed a demographic questionnaire and the Felder-Silverman Index of Learning Styles (ILS) questionnaire to determine preferred learning styles. Most of the Registered Nurse participants were balanced across the Active-Reflective (n = 77, 54%), and Sequential-Global (n = 96, 68%) scales. Across the other scales, sensing (n = 97, 68%) and visual (n = 76, 53%) were the most common preferred learning style. There were only a small proportion who had a preferred learning style of reflective (n = 21, 15%), intuitive (n = 5, 4%), verbal (n = 11, 8%) or global learning (n = 15, 11%). Results indicated that gender, age and years since undergraduate education were not related to the identified preferred learning styles. The identification of Registered Nurses' learning style provides information that nurse educators and others can use to make informed choices about modification, development and strengthening of professional hospital-based educational programs. The use of the Index of Learning Styles questionnaire and its ability to identify 'balanced' learning style preferences may potentially yield additional preferred learning style information for other health-related disciplines. Copyright © 2013 Elsevier Ltd. All rights reserved.

  1. Learning styles and strategies in the medicine students

    Directory of Open Access Journals (Sweden)

    Nelson Torres García

    2015-06-01

    Full Text Available Much has been done and researched to find out learning strategies and styles in the last two decades. Dunn and Dunn ( 1975 focu sed on identifying relevant stimulus which could influence on the learning process and on the school environment ; approximately at the same time; Joseph Renzulli (1994 recommended a variety of learning strategies . The authors of this work intend to approa ch the didactic importance ascribed to the strategies and styles of learning in the educational learning process of medical students, as well as to show some of the strategies that these students adopt to facilitate the learning of contents among which Eng lish for Specific Purpose s is included.

  2. Learning style preferences of nursing students at two universities in Iran and Malaysia.

    Science.gov (United States)

    Abdollahimohammad, Abdolghani; Ja'afar, Rogayah

    2014-01-01

    Learning style preferences vary within the nursing field and there is no consensus on a predominant learning style preference in nursing students. The current study compared the learning style preferences of nursing students at two universities in Iran and Malaysia. A purposive sampling method was used to collect data from the two study populations. Data were collected using the Learning Style Scale (LSS), which is a valid and reliable inventory. The LSS consists of 22 items with five subscales including perceptive, solitary, analytic, imaginative, and competitive. The questionnaires were distributed at the end of the academic year during regular class time for optimum response. The Mann-Whitney U-test was used to compare the learning style preferences between the two study populations. A significant difference was found in perceptive, solitary, and analytic learning styles between two groups of nursing students. However, there was no significant difference in imaginative and competitive learning styles between the two groups. Most of the students were in the middle range of the learning styles. There were similarities and differences in learning style preferences between Zabol Medical Sciences University (ZBMU) and University Sains Malaysia (USM) nursing students. The USM nursing students were more sociable and analytic learners, whereas the ZBMU nursing students were more solitary and perceptive learners.

  3. Ambiguity Tolerance and Perceptual Learning Styles of Chinese EFL Learners

    Science.gov (United States)

    Li, Haishan; He, Qingshun

    2016-01-01

    Ambiguity tolerance and perceptual learning styles are the two influential elements showing individual differences in EFL learning. This research is intended to explore the relationship between Chinese EFL learners' ambiguity tolerance and their preferred perceptual learning styles. The findings include (1) the learners are sensitive to English…

  4. Peculiarities of learning style in adolescents with the features of hyperactivity

    OpenAIRE

    Nasvytienė, Dalia; Trakimavičiūtė, Rasa

    2010-01-01

    The aim of research was to investigate the learning style of adolescents with the features of hyperactivity. The participants were selected as quite common group in the educational practice exceeding by number the pure clinical disorder group of hyperactive children. Their learning style is still under discussion in regard to the efficiency and dynamics of learning process. Learning style questionnaire was created for this purpose. The participants came from a consecutive sample of 30 adolesc...

  5. The Learning Styles Myth is Thriving in Higher Education

    Science.gov (United States)

    Newton, Philip M.

    2015-01-01

    The existence of ‘Learning Styles’ is a common ‘neuromyth’, and their use in all forms of education has been thoroughly and repeatedly discredited in the research literature. However, anecdotal evidence suggests that their use remains widespread. This perspective article is an attempt to understand if and why the myth of Learning Styles persists. I have done this by analyzing the current research literature to capture the picture that an educator would encounter were they to search for “Learning Styles” with the intent of determining whether the research evidence supported their use. The overwhelming majority (89%) of recent research papers, listed in the ERIC and PubMed research databases, implicitly or directly endorse the use of Learning Styles in Higher Education. These papers are dominated by the VAK and Kolb Learning Styles inventories. These presence of these papers in the pedagogical literature demonstrates that an educator, attempting to take an evidence-based approach to education, would be presented with a strong yet misleading message that the use of Learning Styles is endorsed by the current research literature. This has potentially negative consequences for students and for the field of education research. PMID:26696947

  6. Understanding Learning Style by Eye Tracking in Slide Video Learning

    Science.gov (United States)

    Cao, Jianxia; Nishihara, Akinori

    2012-01-01

    More and more videos are now being used in e-learning context. For improving learning effect, to understand how students view the online video is important. In this research, we investigate how students deploy their attention when they learn through interactive slide video in the aim of better understanding observers' learning style. Felder and…

  7. The Comparison of Learning Model Viewed from the Students Thinking Style

    Directory of Open Access Journals (Sweden)

    Mohamad Nur Fauzi

    2017-09-01

    Full Text Available The aim of the research was to determine the effect of learning models with scientific approach, characteristics thinking style, the interaction between learning model with scientific approach and characteristics thinking style toward mathematics achievement. This research was quasi-experimental research with factorial design 2 x 4. The population of research was all students of the seven graders of junior high school in Surakarta city in academic year 2016/2017. The sample of research consists of 190 students. The data in the research was two ways analysis of variance with unequal cells, with the 5% level of significance. The results of the research were as follow: (1 SFEs Learning model gave better mathematics achievement than direct instruction model: (2 Characteristics of Sequential concret (SK, sequential abstract (SA, random concret (AK, and random abstract (AA thinking styles give the same effect on mathematics learning achievement; (3 In each learning model with SK, SA, AK, and AA thinking style characteristics have the same mathematics learning achievement. (4 In each of the SK, SA, AK, and AA thinking styles that are subject to the SFEs learning model and direct learning have the same mathematical learning achievement.

  8. Exam Success at Undergraduate and Graduate-Entry Medical Schools: Is Learning Style or Learning Approach More Important? A Critical Review Exploring Links Between Academic Success, Learning Styles, and Learning Approaches Among School-Leaver Entry ("Traditional") and Graduate-Entry ("Nontraditional") Medical Students.

    Science.gov (United States)

    Feeley, Anne-Marie; Biggerstaff, Deborah L

    2015-01-01

    PHENOMENON: The literature on learning styles over many years has been replete with debate and disagreement. Researchers have yet to elucidate exactly which underlying constructs are measured by the many learning styles questionnaires available. Some academics question whether learning styles exist at all. When it comes to establishing the value of learning styles for medical students, a further issue emerges. The demographics of medical students in the United Kingdom have changed in recent years, so past studies may not be applicable to students today. We wanted to answer a very simple, practical question: what can the literature on learning styles tell us that we can use to help today's medical students succeed academically at medical school? We conducted a literature review to synthesise the available evidence on how two different aspects of learning-the way in which students like to receive information in a learning environment (termed learning "styles") and the motivations that drive their learning (termed learning "approaches")-can impact on medical students' academic achievement. Our review confirms that although learning "styles" do not correlate with exam performance, learning "approaches" do: those with "strategic" and "deep" approaches to learning (i.e., motivated to do well and motivated to learn deeply respectively) perform consistently better in medical school examinations. Changes in medical school entrant demographics in the past decade have not altered these correlations. Optimistically, our review reveals that students' learning approaches can change and more adaptive approaches may be learned. Insights: For educators wishing to help medical students succeed academically, current evidence demonstrates that helping students develop their own positive learning approach using "growth mind-set" is a more effective (and more feasible) than attempting to alter students' learning styles. This conclusion holds true for both "traditional" and graduate

  9. Learning Style, Culture and Delivery Mode in Online Distance Education

    Science.gov (United States)

    Speece, Mark

    2012-01-01

    Adaptation to customer needs is a key component of competitiveness in any service industry. In online HE (higher education), which is increasingly worldwide, this adaptation must include consideration of learning styles. Most research shows that learning style has little impact on learning outcomes in online education. Nevertheless, students with…

  10. Learning Object Retrieval and Aggregation Based on Learning Styles

    Science.gov (United States)

    Ramirez-Arellano, Aldo; Bory-Reyes, Juan; Hernández-Simón, Luis Manuel

    2017-01-01

    The main goal of this article is to develop a Management System for Merging Learning Objects (msMLO), which offers an approach that retrieves learning objects (LOs) based on students' learning styles and term-based queries, which produces a new outcome with a better score. The msMLO faces the task of retrieving LOs via two steps: The first step…

  11. The Learning Styles and Language Learning Strategies of the EFL Students at Tertiary Level

    Directory of Open Access Journals (Sweden)

    Diemroh Ihsan

    2016-02-01

    Full Text Available The purpose of this study are to discover the learning styles, and the language learning strategies most preferred, correlation among the variables exists, and the degree of influence each independent variable exerts on the dependent variables. For data collection, the Barsch Learning Styles Inventory and the Strategy Inventory of Language Learning were distributed to 156 students of English at the University of Sriwijaya, Palembang. The results showed that: (1 visual is the most preferred learning style, whereas metacognitive ang effective are the most preferred language learning strategies; (2 certain independent variables have a significant correlation with certain dependent variables, for example, visual with memory, auditory with cognitive, tactile with affective, and semester with compensation; (3 females use a greater variety of language learning strategies than males; and (4 semester has a significant correlation with compensation but not with other strategies

  12. Instructor Learning Styles as Indicators of Online Faculty Satisfaction

    Science.gov (United States)

    McLawhon, Ryan; Cutright, Marc

    2012-01-01

    The purpose of this study was to determine the relationship between instructor learning style/preference and online faculty job satisfaction. Learning style was assessed using the Readiness for Education At a Distance Indicator (READI) now called Smarter Measure. Online faculty job satisfaction was assessed using the National Study of…

  13. Fuzzy-logic based learning style prediction in e-learning using web ...

    Indian Academy of Sciences (India)

    tion, especially in web environments and proposes to use Fuzzy rules to handle the uncertainty in .... learning in safe and supportive environment ... working of the proposed Fuzzy-logic based learning style prediction in e-learning. Section 4.

  14. Application of Learning Style in Media Writing.

    Science.gov (United States)

    Cranston, Charles M.

    1992-01-01

    Describes a study that examined whether statistically significant differences existed among performance levels of college students in a beginning media writing class when compared according to cognitive style and learning style subgroups. Results are reported for five mass media formats--broadcast news, television copywriting, documentary,…

  15. Personality Types, Learning Styles, and Educational Goals.

    Science.gov (United States)

    Miller, Alan

    1991-01-01

    Outlines a new personality typology that provides a coherent system for construing and conducting research on learning styles. Discusses analytic, holistic, objective, and subjective styles as the affect versatility. Presents implications for educational goals, such as determining which students can benefit from stylistic versatility and which…

  16. Use of Computer Technology for English Language Learning: Do Learning Styles, Gender, and Age Matter?

    Science.gov (United States)

    Lee, Cynthia; Yeung, Alexander Seeshing; Ip, Tiffany

    2016-01-01

    Computer technology provides spaces and locales for language learning. However, learning style preference and demographic variables may affect the effectiveness of technology use for a desired goal. Adapting Reid's pioneering Perceptual Learning Style Preference Questionnaire (PLSPQ), this study investigated the relations of university students'…

  17. Instructional strategies for online introductory college physics based on learning styles

    Science.gov (United States)

    Ekwue, Eleazer U.

    The practical nature of physics and its reliance on mathematical presentations and problem solving pose a challenge toward presentation of the course in an online environment for effective learning experience. Most first-time introductory college physics students fail to grasp the basic concepts of the course and the problem solving skills if the instructional strategy used to deliver the course is not compatible with the learners' preferred learning styles. This study investigates the effect of four instructional strategies based on four learning styles (listening, reading, iconic, and direct-experience) to improve learning for introductory college physics in an online environment. Learning styles of 146 participants were determined with Canfield Learning Style inventory. Of the 85 learners who completed the study, research results showed a statistically significant increase in learning performance following the online instruction in all four learning style groups. No statistically significant differences in learning were found among the four groups. However, greater significant academic improvement was found among learners with iconic and direct-experience modes of learning. Learners in all four groups expressed that the design of the unit presentation to match their individual learning styles contributed most to their learning experience. They were satisfied with learning a new physics concept online that, in their opinion, is either comparable or better than an instructor-led classroom experience. Findings from this study suggest that learners' performance and satisfaction in an online introductory physics course could be improved by using instructional designs that are tailored to learners' preferred ways of learning. It could contribute toward the challenge of providing viable online physics instruction in colleges and universities.

  18. Paramedic Learning Style Preferences and Continuing Medical Education Activities: A Cross-Sectional Survey Study.

    Science.gov (United States)

    Staple, Louis; Carter, Alix; Jensen, Jan L; Walker, Mark

    2018-01-01

    Paramedics participate in continuing medical education (CME) to maintain their skills and knowledge. An understanding of learning styles is important for education to be effective. This study examined the preferred learning styles of ground ambulance paramedics and describes how their preferred learning styles relate to the elective CME activities these paramedics attend. All paramedics (n=1,036) employed in a provincial ground ambulance service were invited to participate in a survey containing three parts: demographics, learning style assessed by the Kolb Learning Style Inventory (LSI), and elective CME activity. 260 paramedics (25%) participated in the survey. Preferred learning styles were: assimilator, 28%; diverger, 25%; converger, 24%; and accommodator, 23%. Advanced life support (ALS) providers had a higher proportion of assimilators (36%), and basic life support (BLS) providers had a higher proportion of divergers (30%). The learning style categories of CME activities attended by paramedics were: assimilators, 25%; divergers, 26%; convergers, 25%; and accommodators, 24%. These results suggest that paramedics are a diverse group of learners, and learning style differs within their demographics. Paramedics attend CME activities that complement all learning styles. Organizations providing education opportunities to paramedics should consider paramedics a diverse learning group when designing their CME programs.

  19. The effect of teaching based on dominant learning style on nursing students' academic achievement.

    Science.gov (United States)

    Vizeshfar, Fatemeh; Torabizadeh, Camellia

    2018-01-01

    The recognition of learning styles and teaching based on that recognition will help lecturers use suitable methods of teaching. The aim of this study was to evaluate the effect of education based on dominant learning styles on the academic achievement of nursing students. The population of this quasi-experimental research consisted of 40 third-semester nursing students. The data were collected by using Kolb's Learning Style questionnaire. To determine the dominant learning style of the students, the researchers had them take a pre-test; then, based on the dominant learning style, the students were taught through group discussion. A formative exam and a summative exam were taken. The most and least preferred learning styles of the participants were the divergent style and the assimilative style respectively. Education based on learning styles, particularly for college students, can not only enhance students' academic achievement and teachers' professional satisfaction, but can help with training professional nurses. Copyright © 2017 Elsevier Ltd. All rights reserved.

  20. Learning style preferences of nursing students at two universities in Iran and Malaysia

    Directory of Open Access Journals (Sweden)

    Abdolghani Abdollahimohammad

    2014-11-01

    Full Text Available Purpose: Learning style preferences vary within the nursing field and there is no consensus on a predominant learning style preference in nursing students. The current study compared the learning style preferences of nursing students at two universities in Iran and Malaysia. Methods: A purposive sampling method was used to collect data from the two study populations. Data were collected using the Learning Style Scale (LSS, which is a valid and reliable inventory. The LSS consists of 22 items with five subscales including perceptive, solitary, analytic, imaginative, and competitive. The questionnaires were distributed at the end of the academic year during regular class time for optimum response. The Mann-Whitney U-test was used to compare the learning style preferences between the two study populations. Results: A significant difference was found in perceptive, solitary, and analytic learning styles between two groups of nursing students. However, there was no significant difference in imaginative and competitive learning styles between the two groups. Most of the students were in the middle range of the learning styles. Conclusion: There were similarities and differences in learning style preferences between Zabol Medical Sciences University (ZBMU and University Sains Malaysia (USM nursing students. The USM nursing students were more sociable and analytic learners, whereas the ZBMU nursing students were more solitary and perceptive learners.

  1. Language Learning Styles Used By Students Of Basic English Course (Bec) Pare

    OpenAIRE

    HIDAYAH, ULFA NURUL

    2013-01-01

    Learning styles are the important factors to help students to learn a second or foreign language. A learning habit of every individual is needed to support the student's learning to be more effective, for example by taking an English course. Learning styles can be classified into: visual, auditory, kinesthetic, tactile, group, and individual. This study is conducted to examine the language learning styles applied by the students of Basic English Course (BEC) in Pare, Kediri. This study applie...

  2. The Impact of Acculturation on Hispanic Students' Learning Styles

    Science.gov (United States)

    Gonyea, Nathan E.

    2010-01-01

    The present study investigated the impact of acculturation on the learning styles of 151 Hispanic students enrolled in a Hispanic Serving Institution in South Texas, controlling for age, gender, and country of origin. Acculturation did not significantly predict learning style when controlling for these three variables. These results may be because…

  3. Using computer-assisted learning to engage diverse learning styles in understanding business management principles.

    Science.gov (United States)

    Frost, Mary E; Derby, Dustin C; Haan, Andrea G

    2013-01-01

    Objective : Changes in small business and insurance present challenges for newly graduated chiropractors. Technology that reaches identified, diverse learning styles may assist the chiropractic student in business classes to meet course outcomes better. Thus, the purpose of our study is to determine if the use of technology-based instructional aids enhance students' mastery of course learning outcomes. Methods : Using convenience sampling, 86 students completed a survey assessing course learning outcomes, learning style, and the helpfulness of lecture and computer-assisted learning related to content mastery. Quantitative analyses occurred. Results : Although respondents reported not finding the computer-assisted learning as helpful as the lecture, significant relationships were found between pre- and post-assisted learning measures of the learning outcomes 1 and 2 for the visual and kinesthetic groups. Surprisingly, however, all learning style groups exhibited significant pre- and post-assisted learning appraisal relationships with learning outcomes 3 and 4. Conclusion : While evidence exists within the current study of a relationship between students' learning of the course content corollary to the use of technologic instructional aids, the exact nature of the relationship remains unclear.

  4. Describing the on-line graduate science student: An examination of learning style, learning strategy, and motivation

    Science.gov (United States)

    Spevak, Arlene J.

    Research in science education has presented investigations and findings related to the significance of particular learning variables. For example, the factors of learning style, learning strategy and motivational orientation have been shown to have considerable impact upon learning in a traditional classroom setting. Although these data have been somewhat generous for the face-to-face learning situation, this does not appear to be the case for distance education, particularly the Internet-based environment. The purpose of this study was to describe the on-line graduate science student, regarding the variables of learning style, learning strategy and motivational orientation. It was believed that by understanding the characteristics of adult science learners and by identifying their learning needs, Web course designers and science educators could create on-line learning programs that best utilized students' strengths in learning science. A case study method using a questionnaire, inventories, telephone interviews and documents was applied to nine graduate science students who participated for ten weeks in an asynchronous, exclusively Internet mediated graduate science course at a large, Northeastern university. Within-case and cross-case analysis indicated that these learners displayed several categories of learning styles as well as learning strategies. The students also demonstrated high levels of both intrinsic and extrinsic motivation, and this, together with varying strategy use, may have compensated for any mismatch between their preferred learning styles and their learning environment. Recommendations include replicating this study in other online graduate science courses, administration of learning style and learning strategy inventories to perspective online graduate science students, incorporation of synchronous communication into on-line science courses, and implementation of appropriate technology that supports visual and kinesthetic learners. Although

  5. Learning Styles of Medical Students Change in Relation to Time

    Science.gov (United States)

    Gurpinar, Erol; Bati, Hilal; Tetik, Cihat

    2011-01-01

    The aim of the present study was to investigate if any changes exist in the learning styles of medical students over time and in relation to different curriculum models with these learning styles. This prospective cohort study was conducted in three different medical faculties, which implement problem-based learning (PBL), hybrid, and integrated…

  6. Key Learning Styles of Teaching English to Students from the Asian-Pacific Region

    Directory of Open Access Journals (Sweden)

    Kovalenko Natalia A.

    2016-01-01

    Full Text Available This article examines key styles of learning English as the second language, particularly for students from Asian-Pacific countries. It deals with the methods of improving their learning skills and abilities. The most traditional and popular ways of learning styles are pointed out. The authors also discuss teaching approaches for matching and interaction of learning styles in different cultures. The authors also discuss teaching approaches to matching and interaction of learning styles in different cultures.

  7. Learning style-based teaching harvests a superior comprehension of respiratory physiology.

    Science.gov (United States)

    Anbarasi, M; Rajkumar, G; Krishnakumar, S; Rajendran, P; Venkatesan, R; Dinesh, T; Mohan, J; Venkidusamy, S

    2015-09-01

    Students entering medical college generally show vast diversity in their school education. It becomes the responsibility of teachers to motivate students and meet the needs of all diversities. One such measure is teaching students in their own preferred learning style. The present study was aimed to incorporate a learning style-based teaching-learning program for medical students and to reveal its significance and utility. Learning styles of students were assessed online using the visual-auditory-kinesthetic (VAK) learning style self-assessment questionnaire. When respiratory physiology was taught, students were divided into three groups, namely, visual (n = 34), auditory (n = 44), and kinesthetic (n = 28), based on their learning style. A fourth group (the traditional group; n = 40) was formed by choosing students randomly from the above three groups. Visual, auditory, and kinesthetic groups were taught following the appropriate teaching-learning strategies. The traditional group was taught via the routine didactic lecture method. The effectiveness of this intervention was evaluated by a pretest and two posttests, posttest 1 immediately after the intervention and posttest 2 after a month. In posttest 1, one-way ANOVA showed a significant statistical difference (P=0.005). Post hoc analysis showed significance between the kinesthetic group and traditional group (P=0.002). One-way ANOVA showed a significant difference in posttest 2 scores (P learning style-based groups compared with the traditional group [visual vs. traditional groups (p=0.002), auditory vs. traditional groups (p=0.03), and Kinesthetic vs. traditional groups (p=0.001)]. This study emphasizes that teaching methods tailored to students' style of learning definitely improve their understanding, performance, and retrieval of the subject. Copyright © 2015 The American Physiological Society.

  8. Learning Styles of Mexican Food Science and Engineering Students

    Science.gov (United States)

    Palou, Enrique

    2006-01-01

    People have different learning styles that are reflected in different academic strengths, weaknesses, skills, and interests. Given the almost unlimited variety of job descriptions within food science and engineering, it is safe to say that students with every possible learning style have the potential to succeed as food scientists and engineers.…

  9. Effect of students' learning styles on classroom performance in problem-based learning.

    Science.gov (United States)

    Alghasham, Abdullah A

    2012-01-01

    Since problem-based learning (PBL) sessions require a combination of active discussion, group interaction, and inductive and reflective thinking, students with different learning styles can be expected to perform differently in the PBL sessions. Using "Learning Style Inventory Questionnaire," students were divided into separate active and reflective learner groups. Tutors were asked to observe and assess the students' behavioral performance during the PBL sessions for a period of 5 weeks. A questionnaire of 24 items was developed to assess students' behavioral performance in PBL sessions. Active students tended to use multiple activities to obtain the needed information were more adjusted to the group norms and regulation and more skillful in using reasoning and problem-solving skills and in participation in discussion. On the other hand, reflective students used independent study more, listened actively and carefully to others and used previously acquired information in the discussion more frequently. Formative assessment quizzes did not indicate better performance of either group. There were no significant gender differences in PBL behavioral performance or quizzes' scores. Active and reflective learners differ in PBL class behavioral performance but not in the formative assessment. We recommend that students should be informed about their learning style and that they should learn strategies to compensate for any lacks in PBL sessions through self-study. Also, educational planners should ensure an adequate mix of students with different learning styles in the PBL groups to achieve PBL desired objectives.

  10. Exploration of preferred learning styles in medical education using VARK modal

    OpenAIRE

    Laxman Khanal; Sandip Shah; Sarun Koirala

    2014-01-01

    Learning styles is a term used to refer to the methods of gathering, processing, interpreting, organizing and thinking about information. Students have different learning styles, which is the reason for the diversity seen in classrooms in regards to how students acquire information. Claxton and Murrell had divided the learning styles into the following four categories: personality models, information-processing models, social-interaction models, and instructional preferences models. VARK (an ...

  11. Relationship between Academic Performance, Spatial Competence, Learning Styles and Attrition

    Directory of Open Access Journals (Sweden)

    Marianela Noriega Biggio

    2013-04-01

    Full Text Available This paper discusses the results of research on factors affecting academic performance and attrition in a sample of 1,500 freshman students majoring in architecture, design and urbanism at the Universidad de Buenos Aires, Argentina [University of Buenos Aires, Argentina] who were enrolled in a drafting course. The hypotheses we tested concern the mediating role of learning styles on the relationship between spatial competence and academic performance, learning-style differences by gender and cohort, and the relationship between attrition, spatial competence level and learning style. Statistical analysis of the data was performed and spatial competence enhanced by motivational profile was found to predict final achievement. Educational implications are identified, highlighting the need to promote in students those academic behaviors that characterize a self-regulated learning style and encourage the use of specific intellectual abilities.

  12. Moving and Learning: Expanding Style and Increasing Flexibility

    Science.gov (United States)

    Peterson, Kay; DeCato, Lisa; Kolb, David A.

    2015-01-01

    This article introduces ways in which movement can enhance one's understanding of how to learn using Experiential Learning Theory (ELT) concepts of the Learning Cycle, Learning Styles, and Learning Flexibility. The theoretical correspondence between the dialectic dimensions of the Learning Cycle and the dimensions of the Laban Movement Analysis…

  13. The effect of learning style on academic student success

    Science.gov (United States)

    Stackhouse, Omega N.

    The problem addressed in this study was that little was known about the impact on student academic achievement, when grouped by learning style, in a multiple intelligence based science curriculum. The larger problem was that many students were frequently unengaged and, consequently, low achieving in their science courses. This quantitative study used an ex post facto research design to better understand the impact of student learning style on the academic success of students in a Multiple Intelligence Theory based course room. Gardner's work on Multiple Intelligence served as the conceptual framework for this study. The research question for this study asked if academic instruction that employs multiple intelligence theories has a relationship with students' academic achievement differently according to their learning style group (auditory, visual, and kinesthetic). Existing data from 85 students were placed into 1 of 3 groups: (a) Auditory, (b) Visual, or (c) Kinesthetic Learning Style) using existing data from a student inventory instrument. The independent variable was existing data from student inventories of learning style and the dependent variable was existing student scores from the Physical Science End of Course Test. Existing data were taken from students that were all taught with the same strategies in similar classroom environments. The Physical Science End of Course Test was developed with stringent measures to protect validity by the developer, McGraw-Hill. Cronbach's Alpha was conducted to determine the internal reliability coefficient of the student inventory. The impact for social change is that adding to the body of knowledge regarding student learning style and science curriculum provides valuable information for teachers, administrators, and school policy makers. This will allow teachers to better prepare to engage their students' and to prepare them for their place in society.

  14. Pediatric residents' learning styles and temperaments and their relationships to standardized test scores.

    Science.gov (United States)

    Tuli, Sanjeev Y; Thompson, Lindsay A; Saliba, Heidi; Black, Erik W; Ryan, Kathleen A; Kelly, Maria N; Novak, Maureen; Mellott, Jane; Tuli, Sonal S

    2011-12-01

    Board certification is an important professional qualification and a prerequisite for credentialing, and the Accreditation Council for Graduate Medical Education (ACGME) assesses board certification rates as a component of residency program effectiveness. To date, research has shown that preresidency measures, including National Board of Medical Examiners scores, Alpha Omega Alpha Honor Medical Society membership, or medical school grades poorly predict postresidency board examination scores. However, learning styles and temperament have been identified as factors that 5 affect test-taking performance. The purpose of this study is to characterize the learning styles and temperaments of pediatric residents and to evaluate their relationships to yearly in-service and postresidency board examination scores. This cross-sectional study analyzed the learning styles and temperaments of current and past pediatric residents by administration of 3 validated tools: the Kolb Learning Style Inventory, the Keirsey Temperament Sorter, and the Felder-Silverman Learning Style test. These results were compared with known, normative, general and medical population data and evaluated for correlation to in-service examination and postresidency board examination scores. The predominant learning style for pediatric residents was converging 44% (33 of 75 residents) and the predominant temperament was guardian 61% (34 of 56 residents). The learning style and temperament distribution of the residents was significantly different from published population data (P  =  .002 and .04, respectively). Learning styles, with one exception, were found to be unrelated to standardized test scores. The predominant learning style and temperament of pediatric residents is significantly different than that of the populations of general and medical trainees. However, learning styles and temperament do not predict outcomes on standardized in-service and board examinations in pediatric residents.

  15. Receptive Learning Styles Of Introverts, Ambiverts And Extroverts In ...

    African Journals Online (AJOL)

    Learning to relate with people in their own style is important in helping to understand why they react the way they do. The purpose of this study therefore was to determine the differences in the receptive learning styles of introverts, ambiverts and extroverts in Senior High Schools (SHS) in the Sekondi-Takoradi Metropolis, ...

  16. HOW DO ARCHITECTS THINK? LEARNING STYLES AND ARCHITECTURAL EDUCATION

    Directory of Open Access Journals (Sweden)

    Magda Mostafa

    2010-07-01

    Full Text Available Architecture is a complex process involving the divergent resolution of a multitude of factors- social, ecological, technical, economic, functional, ethical and aesthetic. Despite this diversity all architectural problem solving processes share one common factor- they must be resolved spatially. This paper sets out to explore how best to develop these spatial thinking skills in young architects through addressing their learning styles in education. The primary hypothesis tested is twofold. First using the Solomon & Felder (2007 definition of learning styles and their Index of Learning Styles Questionnaire the average profile of a study group from the freshmen and sophomore architectural student body at the Architectural Engineering Program of the American University in Cairo is mapped and compared to that of a control group from the general population of the university from a cross-section of majors. Secondly, using the Spatial Ability test by Newton & Bristoll (2009, the spatial ability of both the control and study groups are measured and compared. The analysis of these results tests the assumption that the majority of architectural students will be visual, rather than verbal; and active, rather than reflective, learners; as well as exhibiting higher spatial abilities, as compared to the control group. The performance of students in these tests are then correlated against their learning styles profile using the following sets- low spatial ability against both reflective and verbal learning; moderate spatial ability against neutral learning styles; and high spatial ability against both active and visual learning. The results show a particular corroboration between high spatial ability and active learning in the entire group of students- both study, and control- as well as a strong corroboration between high spatial ability and visual learning- with a higher correlation in architecture students, reaching 100% in some classes. It is hoped that by

  17. Learning style preferences: A study of pre-clinical medical students in Barbados

    OpenAIRE

    OJEH, NKEMCHO; SOBERS-GRANNUM, NATASHA; GAUR, UMA; UDUPA, ALAYA; MAJUMDER, MD.ANWARUL AZIM

    2017-01-01

    Introduction: Educators need to be aware of different learning styles to effectively tailor instructional strategies and methods to cater to the students’ learning needs and support a conductive learning environment. The VARK [an acronym for visual (V), aural (A), read/write (R) and kinesthetic (K)] instrument is a useful model to assess learning styles. The aim of this study was to use the VARK questionnaire to determine the learning styles of pre-clinical medical students in order to compar...

  18. Suitable Learning Styles for Intelligent Tutoring Technologies (Styles d’Apprentissage Appropries pour les Technologies Tuteurs Intelligents)

    Science.gov (United States)

    2010-05-01

    mind, (ii) forms of mental self-government, and (iii) stylistic preferences. Importantly, Sternberg does not think that cognitive style...summarizes a study examining suitable cognitive and learning styles for intelligent tutoring technologies to improve the Canadian Forces (CF) distance...are the appropriate tool to address CF learning needs, as e-learning systems: • Cater to all individuals in the CF regardless of their cognitive or

  19. Personalization of immediate feedback to learning styles

    NARCIS (Netherlands)

    Vasilyeva, E.; Pechenizkiy, M.; Gavrilova, T.; Puuronen, S.; Spector, J.M.; Sampson, D.G.; Okamoto, T.; Cerri, S.A.; Ueno, M.; Kashihara, A.

    2007-01-01

    Feedback provided to a user is an important part of learning and interaction in e-learning systems. In this paper we present the results of our pilot experiment aimed to study interrelation between several types of immediate feedback presentation and learning styles (LSs) of users. In the experiment

  20. Exploration of preferred learning styles in medical education using VARK modal

    Directory of Open Access Journals (Sweden)

    Laxman Khanal

    2014-09-01

    Full Text Available Learning styles is a term used to refer to the methods of gathering, processing, interpreting, organizing and thinking about information. Students have different learning styles, which is the reason for the diversity seen in classrooms in regards to how students acquire information. Claxton and Murrell had divided the learning styles into the following four categories: personality models, information-processing models, social-interaction models, and instructional preferences models. VARK (an acronym for Visual, Aural, Read/write and Kinesthetic, different way of learning styles is a learning inventory categorized into the ‘instructional preference’ modal. Many studies were done using the VARK inventory among the medical education but the preferred mode of learning was variable in different parts of the world. The relationship of age, gender and academic performance with the mode of learning was also not consistent. So this article tried to conclude the preferred mode of learning and relationship of mode of learning with gender and other factors by analyzing the previous studies done using VARK questionnaire among the medical students in daily teaching and learning environment. Pub Med and Google Scholar were used as a search engine to find the article. Altogether 20 full text research papers were retrieved and reviewed. In the most of part of the world the studies showed that multimodal learning style was the predominant one over unimodal. Further in multimodal quadmodal was the most preferred one followed by other presentation. In the unimodal presentation most preferred one is kinesthetic type of learning along with visual, aural and read write in less extent. Age factors had no lucid relationship with the learning style though some variations were observed with age.This review was expected to be useful as scientific evidence in the field of medical education and also as a reference for further research.

  1. Does Gender Influence Learning Style Preferences of First-Year Medical Students?

    Science.gov (United States)

    Slater, Jill A.; Lujan, Heidi L.; DiCarlo, Stephen E.

    2007-01-01

    Students have specific learning style preferences, and these preferences may be different between male and female students. Understanding a student's learning style preference is an important consideration when designing classroom instruction. Therefore, we administered the visual, auditory, reading/writing, kinesthetic (VARK) learning preferences…

  2. Learning styles in the classroom: Educational benefit or planning exercise?

    OpenAIRE

    Hulme, JA; Allcock, SJ

    2010-01-01

    Differentiation of teaching is encouraged to accommodate student diversity. This study investigated whether using learning styles as a basis for differentiation improved A-level student performance, compared to differentiation on the basis of academic ability. Matched classes of A-level psychology students participated. In one class, learning activities were differentiated by academic ability; in the other class, learning activities were differentiated by learning style for nine weeks, follow...

  3. Supporting Teachers in Identifying Students' Learning Styles in Learning Management Systems: An Automatic Student Modelling Approach

    Science.gov (United States)

    Graf, Sabine; Kinshuk; Liu, Tzu-Chien

    2009-01-01

    In learning management systems (LMSs), teachers have more difficulties to notice and know how individual students behave and learn in a course, compared to face-to-face education. Enabling teachers to know their students' learning styles and making students aware of their own learning styles increases teachers' and students' understanding about…

  4. Learning features for tissue classification with the classification restricted Boltzmann machine

    DEFF Research Database (Denmark)

    van Tulder, Gijs; de Bruijne, Marleen

    2014-01-01

    Performance of automated tissue classification in medical imaging depends on the choice of descriptive features. In this paper, we show how restricted Boltzmann machines (RBMs) can be used to learn features that are especially suited for texture-based tissue classification. We introduce the convo...... outperform conventional RBM-based feature learning, which is unsupervised and uses only a generative learning objective, as well as often-used filter banks. We show that a mixture of generative and discriminative learning can produce filters that give a higher classification accuracy....

  5. Deep Learning for ECG Classification

    Science.gov (United States)

    Pyakillya, B.; Kazachenko, N.; Mikhailovsky, N.

    2017-10-01

    The importance of ECG classification is very high now due to many current medical applications where this problem can be stated. Currently, there are many machine learning (ML) solutions which can be used for analyzing and classifying ECG data. However, the main disadvantages of these ML results is use of heuristic hand-crafted or engineered features with shallow feature learning architectures. The problem relies in the possibility not to find most appropriate features which will give high classification accuracy in this ECG problem. One of the proposing solution is to use deep learning architectures where first layers of convolutional neurons behave as feature extractors and in the end some fully-connected (FCN) layers are used for making final decision about ECG classes. In this work the deep learning architecture with 1D convolutional layers and FCN layers for ECG classification is presented and some classification results are showed.

  6. Approaches to Learning and Kolb's Learning Styles of Undergraduates with Better Grades

    Science.gov (United States)

    Almeida, Patrícia; Teixeira-Dias, José Joaquim; Martinho, Mariana; Balasooriya, Chinthaka

    The purpose of this study is to investigate if the teaching, learning and assessment strategies conceived and implemented in a higher education chemistry course promote the development of conceptual understanding, as intended. Thus, our aim is to analyse the learning styles and the approaches to learning of chemistry undergraduates with better grades. The overall results show that the students with better grades possess the assimilator learning style, that is usually associated to the archetypal chemist. Moreover, the students with the highest grades revealed a conception of learning emphasising understanding. However, these students diverged both in their learning approaches and in their preferences for teaching strategies. The majority of students adopted a deep approach or a combination of a deep and a strategic approach, but half of them revealed their preference for teaching-centred strategies.

  7. Deep learning for image classification

    Science.gov (United States)

    McCoppin, Ryan; Rizki, Mateen

    2014-06-01

    This paper provides an overview of deep learning and introduces the several subfields of deep learning including a specific tutorial of convolutional neural networks. Traditional methods for learning image features are compared to deep learning techniques. In addition, we present our preliminary classification results, our basic implementation of a convolutional restricted Boltzmann machine on the Mixed National Institute of Standards and Technology database (MNIST), and we explain how to use deep learning networks to assist in our development of a robust gender classification system.

  8. Nursing students at a university - a study about learning style preferences.

    Science.gov (United States)

    Hallin, Karin

    2014-12-01

    In most adult education, teachers use methods that assume all students learn in the same way. But knowledge of students' learning style preferences highlights the importance of adequate teaching and learning adaptation. The aim of the study was to describe and compare final year nursing students' learning style preferences in two campuses during three semesters. A further aim was to identify differences between learning style preferences and personal characteristics. A descriptive cross-sectional study using the Productivity Environmental Preference Survey (PEPS) questionnaire was conducted at a Swedish rural university. Three semester groups with 263 nursing students participated in 2012-2013. The majority of the students were 'flexible' in their learning style preferences and had none or few strong preferences. Students with strong preferences preferred high structure (75%) and an authority figure present (40%). About a third were highly auditory, tactile and/or kinesthetic while 8% were highly visual. Few significant differences were revealed between the groups of campuses and the groups of semesters or between learning style preferences and upper secondary school and care experience. There were no significant differences between learning style preferences and age and assistant nurse graduation. More women than men were highly motivated, auditory, tactile and kinesthetic and preferred structure and mobility. The PEPS questionnaire provides nursing students with self-awareness regarding their strengths and shortcomings in learning and teachers with a valuable and practical basis for their selection of adapted individual and group teaching methods. The findings suggest the need for wide variation and interactive teaching approaches, conscious didactic actions between cooperating teachers and conscious learning strategies for nursing students. Copyright © 2014 Elsevier Ltd. All rights reserved.

  9. Repurposeable Learning Objects Linked to Teaching and Learning Styles

    Directory of Open Access Journals (Sweden)

    Jeremy Dunning

    2004-02-01

    Full Text Available Multimedia learning objects are an essential component of high quality, technology-mediated instruction. Learning objects allow the student to use the content learned in a particular part of a course and; 1. demonstrate mastery of the content, 2. apply that knowledge to solving a problem, and 3. use the content in a critical thinking exercise that both demonstrates mastery and allows the student to place the content within the context of the larger topic of the course. The difficulty associated with the use of learning objects on a broad scale is that they require programming skills most professors and instructors do not possess. Learning objects also tend to be custom productions and are defined in terms of the programming and code terminology, further limiting the professor's ability to understand how they are created. Learning objects defined in terms of styles of learning and teaching allow professors and instructors to develop a deeper understanding of the learning objects and the design process. A set of learning objects has been created that are designed for some of the important styles of learning and teaching. They include; visual learning, writing skills, critical thinking, time-revealed scenarios, case studies and empirical observation. The learning objects are designed and described in terms that the average instructor can readily understand , redesign and incorporate into their own courses. They are also designed in such a way that they can readily be repurposed for new applications in other courses and subject areas, with little or no additional programming.

  10. Learning styles: The learning methods of air traffic control students

    Science.gov (United States)

    Jackson, Dontae L.

    In the world of aviation, air traffic controllers are an integral part in the overall level of safety that is provided. With a number of controllers reaching retirement age, the Air Traffic Collegiate Training Initiative (AT-CTI) was created to provide a stronger candidate pool. However, AT-CTI Instructors have found that a number of AT-CTI students are unable to memorize types of aircraft effectively. This study focused on the basic learning styles (auditory, visual, and kinesthetic) of students and created a teaching method to try to increase memorization in AT-CTI students. The participants were asked to take a questionnaire to determine their learning style. Upon knowing their learning styles, participants attended two classroom sessions. The participants were given a presentation in the first class, and divided into a control and experimental group for the second class. The control group was given the same presentation from the first classroom session while the experimental group had a group discussion and utilized Middle Tennessee State University's Air Traffic Control simulator to learn the aircraft types. Participants took a quiz and filled out a survey, which tested the new teaching method. An appropriate statistical analysis was applied to determine if there was a significant difference between the control and experimental groups. The results showed that even though the participants felt that the method increased their learning, there was no significant difference between the two groups.

  11. Identification of the Learning Styles and "On-the-Job" Learning Methods Implemented by Nurses for Promoting Their Professional Knowledge and Skills.

    Science.gov (United States)

    Rassin, Michal; Kurzweil, Yaffa; Maoz, Yael

    2015-05-09

    The aim of this study was to identify the learning styles and methods used by nurses to promote their professional knowledge and skills. 928 nurses from 11 hospitals across Israel completed 2 questionnaires, (1) Kolb's Learning Style Inventory, Version 3.1. and (2) the On-The-Job Learning Styles Questionnaire for the Nursing Profession. The most common learning style was the convergent style. The other learning styles were rated in the following descending order: accommodation, assimilation, and divergence. The on-the-job learning style consistently ranked highest was experience of relevant situations. On the other hand, seeking knowledge from books, journals, television, or the Internet was ranked lowest on all the indicators examined. With respect to general and on-the-job learning styles, statistically significant differences were found between groups of nurses by: country of birth, gender, department, age, education, and role. Nurses required to take more personal responsibility for their own professional development by deepening their self-learning skills.

  12. Accommodating Elementary Students' Learning Styles.

    Science.gov (United States)

    Wallace, James

    1995-01-01

    Examines the perceptual learning style preferences of sixth- and seventh-grade students in the Philippines. Finds that the visual modality was the most preferred and the auditory modality was the least preferred. Offers suggestions for accommodating visual, tactile, and kinesthetic preferences. (RS)

  13. An Exploratory Study of the Language-learning Style Preferences of Iranian EFL High School Students

    Directory of Open Access Journals (Sweden)

    Afsaneh Effatdokht Ramezani

    2015-04-01

    Full Text Available This study explored the learning style preferences of 40 Iranian students at Marefat Iranian high school in Kuala Lumpur of which, 20 are females and 20 are males. To this end, this study used structured interview to elicit in-depth information from the students. The results of the study showed that learning style preferences of Iranian students were different according to their gender. Female students preferred auditory learning as their major learning style, while male students preferred kinesthetic more. Moreover, the findings revealed that Kinesthetic learning was the least preferred learning style of the most female students, whereas the least preferred learning style of male students was tactile learning.  Keywords:  Learning Style Preferences, High School Students, Gender, EFL

  14. Adaptive Learning and Thinking Style to Improve E-Learning Environment Using Neural Network (ALTENN) Model

    OpenAIRE

    Dagez, Hanan Ettaher; Ambarka, Ali Elghali

    2015-01-01

     In recent years we have witnessed an increasingly heightened awareness of the potential benefits of adaptively in e-learning. This has been mainly driven by the realization that the ideal of individualized learning (i.e., learning tailored to the specific requirements and preferences of the individual) cannot be achieved, especially at a “massive” scale, using traditional approaches. In e-learning when the learning style of the student is not compatible with the teaching style of the teacher...

  15. An analysis of mathematical connection ability based on student learning style on visualization auditory kinesthetic (VAK) learning model with self-assessment

    Science.gov (United States)

    Apipah, S.; Kartono; Isnarto

    2018-03-01

    This research aims to analyze the quality of VAK learning with self-assessment toward the ability of mathematical connection performed by students and to analyze students’ mathematical connection ability based on learning styles in VAK learning model with self-assessment. This research applies mixed method type with concurrent embedded design. The subject of this research consists of VIII grade students from State Junior High School 9 Semarang who apply visual learning style, auditory learning style, and kinesthetic learning style. The data of learning style is collected by using questionnaires, the data of mathematical connection ability is collected by performing tests, and the data of self-assessment is collected by using assessment sheets. The quality of learning is qualitatively valued from planning stage, realization stage, and valuation stage. The result of mathematical connection ability test is analyzed quantitatively by mean test, conducting completeness test, mean differentiation test, and mean proportional differentiation test. The result of the research shows that VAK learning model results in well-qualified learning regarded from qualitative and quantitative sides. Students with visual learning style perform the highest mathematical connection ability, students with kinesthetic learning style perform average mathematical connection ability, and students with auditory learning style perform the lowest mathematical connection ability.

  16. Learning Styles in the Art Room

    Science.gov (United States)

    Rohrbach, Marla

    2011-01-01

    Art students have different learning styles. Some are visual learners who need to see the information. Some are auditory learners who need to hear the information. Others are tactile/kinesthetic learners who need to move, do, or touch in order to learn. Looking over her curriculum and lesson plans, the author realized almost every art lesson…

  17. Analysis of dermatology resident self-reported successful learning styles and implications for core competency curriculum development.

    Science.gov (United States)

    Stratman, Erik J; Vogel, Curt A; Reck, Samuel J; Mukesh, Bickol N

    2008-01-01

    There are different teaching styles for delivering competency-based curricula. The education literature suggests that learning is maximized when teaching is delivered in a style preferred by learners. To determine if dermatology residents report learning style preferences aligned with adult learning. Dermatology residents attending an introductory cutaneous biology course completed a learning styles inventory assessing self-reported success in 35 active and passive learning activities. The 35 learning activities were ranked in order of preference by learners. Mean overall ratings for active learning activities were significantly higher than for passive learning activities (P = 0.002). Trends in dermatology resident learning style preferences should be considered during program curriculum development. Programs should integrate a variety of curriculum delivery methods to accommodate various learning styles, with an emphasis on the active learning styles preferred by residents.

  18. How learning style affects evidence-based medicine: a survey study

    NARCIS (Netherlands)

    Zwolsman, Sandra E.; van Dijk, Nynke; Verhoeven, Anita A. H.; de Ruijter, Wouter; Wieringa-de Waard, Margreet

    2011-01-01

    Learning styles determine how people manage new information. Evidence-based medicine (EBM) involves the management of information in clinical practice. As a consequence, the way in which a person uses EBM can be related to his or her learning style. In order to tailor EBM education to the individual

  19. How learning style affects evidence-based medicine : a survey study

    NARCIS (Netherlands)

    Zwolsman, Sandra E.; van Dijk, Nynke; Verhoeven, Anita A. H.; de Ruijter, Wouter; Wieringa-de Waard, Margreet

    2011-01-01

    Background: Learning styles determine how people manage new information. Evidence-based medicine (EBM) involves the management of information in clinical practice. As a consequence, the way in which a person uses EBM can be related to his or her learning style. In order to tailor EBM education to

  20. [Influence of learning styles of nursing students on teaching strategies choice].

    Science.gov (United States)

    Vacas Pérez, Juan Crisostomo; Mérida Serrano, Rosario; Molina Recio, Guillermo; Mesa Blanco, María del Pilar

    2012-12-01

    The objective of this research focuses on the framework of teaching strategies, by acknowledging learning styles as first determination and, in relation to the changes that these are going through, identifying the teaching strategies best rated and preferred by the students. This is a prospective open cohort study with the students of Nursing Diploma 2007/2010 of the Universidad de Córdoba. Once the population was identified in the first year (first analysis), annual measurings were undertaken every year during their training. In order to study the learning styles, the questionnaire CHAEA was administered and a scale from 1 to 10 (1 = highest, 10 = lowest) was used to determine the preferences for learning strategies. The results show the variability of the learner (up to 11 styles). However, the dominant style is the reflective, followed by the theoretical and the pragmatic. The least developed was the active style. As the years of training go by, a tendency towards a dual style (reflective-theoretical) can be observed. In relation to teaching strategies, the preferred ones were those set in professional areas, workshops and debates. Relevant changes were also seen as they advanced in their training. The results establish a specific significant relationship between learning styles and teaching strategies.

  1. Using appreciative inquiry to help students identify strategies to overcome handicaps of their learning styles.

    Science.gov (United States)

    Kumar, Latha Rajendra; Chacko, Thomas Vengail

    2012-01-01

    In India, as in some other neighboring Asian countries, students and teachers are generally unaware of the differences in the learning styles among learners, which can handicap students with learning styles alien to the common teaching/learning modality within the institution. This study aims to find out whether making students aware of their learning styles and then using the Appreciative Inquiry approach to help them discover learning strategies that worked for them and others with similar learning styles within the institution made them perceive that this experience improved their learning and performance in exams. The visual, auditory, read-write, and kinesthetic (VARK) inventory of learning styles questionnaire was administered to all 100 first-year medical students of the Father Muller's Medical College in Mangalore India to make them aware of their individual learning styles. An Appreciate Inquiry intervention was administered to 62 student volunteers who were counseled about the different learning styles and their adaptive strategies. Pre and post intervention change in student's perception about usefulness of knowing learning styles on their learning, learning behavior, and performance in examinations was collected from the students using a prevalidated questionnaire. Post intervention mean scores showed a significant change (P learning style and discovering strategies that worked within the institutional environment. There was agreement among students that the intervention helped them become more confident in learning (84%), facilitating learning in general (100%), and in understanding concepts (100%). However, only 29% of the students agreed that the intervention has brought about their capability improvement in application of learning and 31% felt it improved their performance in exams. Appreciate Inquiry was perceived as useful in helping students discover learning strategies that work for different individual learning styles and sharing them within

  2. The influence of learning styles, enrollment status and gender on academic performance of optometry undergraduates.

    Science.gov (United States)

    Prajapati, Bhavna; Dunne, Mark; Bartlett, Hannah; Cubbidge, Robert

    2011-01-01

    This cross-sectional study was designed to determine whether the academic performance of optometry undergraduates is influenced by enrollment status, learning style or gender. Three hundred and sixty undergraduates in all 3 years of the optometry degree course at Aston University during 2008-2009 were asked for their informed consent to participate in this study. Enrollment status was known from admissions records. An Index of Learning Styles (http://www4.nscu.edu/unity/lockers/users/f/felder/public/Learning-Styles.html) determined learning style preference with respect to four different learning style axes; active-reflective, sensing-intuitive, visual-verbal and sequential-global. The influence of these factors on academic performance was investigated. Two hundred and seventy students agreed to take part (75% of the cohort). 63% of the sample was female. There were 213 home non-graduates (entrants from the UK or European Union without a bachelor's degree or higher), 14 home graduates (entrants from the UK or European Union with a bachelor's degree or higher), 28 international non-graduates (entrants from outside the UK or European Union without a bachelor's degree or higher) and 15 international graduates (entrants from outside the UK or European Union with a bachelor's degree or higher). The majority of students were balanced learners (between 48% and 64% across four learning style axes). Any preferences were towards active, sensing, visual and sequential learning styles. Of the factors investigated in this study, learning styles were influenced by gender; females expressed a disproportionate preference for the reflective and visual learning styles. Academic performance was influenced by enrollment status; international graduates (95% confidence limits: 64-72%) outperformed all other student groups (home non graduates, 60-62%; international non graduates, 55-63%) apart from home graduates (57-69%). Our research has shown that the majority of optometry students

  3. The Relationship between Learning Style, Test Anxiety and Academic Achievement

    Science.gov (United States)

    Yazici, Kubilay

    2017-01-01

    This study aimed to investigate the relationship between social studies pre-service teachers' (SSPTs) learning style, test anxiety and academic achievement. A total of 315 SSPTs participated in the study. Data were collected using Turkish versions of Grasha-Reichmann learning style scale (GRLSS) and test anxiety scale (TAS) by Spielberger.…

  4. Student Learning Styles and Performance in an Introductory Finance Class

    Science.gov (United States)

    Seiver, Daniel Alan; Haddad, Kamal; Do, Andrew

    2014-01-01

    Many academic disciplines have examined the role that variation in Jungian personality types plays in the academic performance of college students. Different personality types tend to have different learning styles, which in turn influence student performance in a variety of college courses. To measure the impact of learning styles on student…

  5. Learning classification models with soft-label information.

    Science.gov (United States)

    Nguyen, Quang; Valizadegan, Hamed; Hauskrecht, Milos

    2014-01-01

    Learning of classification models in medicine often relies on data labeled by a human expert. Since labeling of clinical data may be time-consuming, finding ways of alleviating the labeling costs is critical for our ability to automatically learn such models. In this paper we propose a new machine learning approach that is able to learn improved binary classification models more efficiently by refining the binary class information in the training phase with soft labels that reflect how strongly the human expert feels about the original class labels. Two types of methods that can learn improved binary classification models from soft labels are proposed. The first relies on probabilistic/numeric labels, the other on ordinal categorical labels. We study and demonstrate the benefits of these methods for learning an alerting model for heparin induced thrombocytopenia. The experiments are conducted on the data of 377 patient instances labeled by three different human experts. The methods are compared using the area under the receiver operating characteristic curve (AUC) score. Our AUC results show that the new approach is capable of learning classification models more efficiently compared to traditional learning methods. The improvement in AUC is most remarkable when the number of examples we learn from is small. A new classification learning framework that lets us learn from auxiliary soft-label information provided by a human expert is a promising new direction for learning classification models from expert labels, reducing the time and cost needed to label data.

  6. Gender, abilities, cognitive style and students' achievement in cooperative learning

    Directory of Open Access Journals (Sweden)

    Cirila Peklaj

    2003-12-01

    Full Text Available The purpose of the study was to investigate the effects of cooperative learning on achievement in mathematics and native language and to analyze students' achievement in cooperative learning according to their gender, abilities and cognitive style. Three hundred and seventy three (170 in the experimental and 203 in the control group fifth grade students from nine different primary schools participated in the study. In experimental group, cooperative learning was introduced in one quarter of the hours dedicated to mathematics and Slovene language during the school year. Control group received the traditional way of teaching in both courses. The results were analyzed with ANOVA. Positive effects of cooperative learning were found in both courses. Results in cooperative learning group were further analyzed according to students' gender, abilities and cognitive style. No significant interaction between students' achievement and their gender or abilities were found. Statistically significant interactions between students' cognitive style and achievement were found in both courses. Field-dependent students benefited most from cooperative learning.

  7. The Preferred Learning Styles of Neurosurgeons, Neurosurgery Residents, and Neurology Residents: Implications in the Neurosurgical Field.

    Science.gov (United States)

    Lai, Hung-Yi; Lee, Ching-Yi; Chiu, Angela; Lee, Shih-Tseng

    2014-01-01

    To delineate the learning style that best defines a successful practitioner in the field of neurosurgery by using a validated learning style inventory. The Kolb Learning Style Inventory, a validated assessment tool, was administered to all practicing neurosurgeons, neurosurgical residents, and neurology residents employed at Chang Gung Memorial Hospital, an institution that provides primary and tertiary clinical care in 3 locations, Linkou, Kaohsiung, and Chiayi. There were 81 participants who entered the study, and all completed the study. Neurosurgeons preferred the assimilating learning style (52%), followed by the diverging learning style (39%). Neurosurgery residents were slightly more evenly distributed across the learning styles; however, they still favored assimilating (32%) and diverging (41%). Neurology residents had the most clearly defined preferred learning style with assimilating (76%) obtaining the large majority and diverging (12%) being a distant second. The assimilating and diverging learning styles are the preferred learning styles among neurosurgeons, neurosurgery residents, and neurology residents. The assimilating learning style typically is the primary learning style for neurosurgeons and neurology residents. Neurosurgical residents start off with a diverging learning style and progress toward an assimilating learning style as they work toward becoming practicing neurosurgeons. The field of neurosurgery has limited opportunities for active experimentation, which may explain why individuals who prefer reflective observation are more likely to succeed in this field. Copyright © 2014 Elsevier Inc. All rights reserved.

  8. Learning and Teaching Styles in Management Education: Identifying, Analyzing, and Facilitating

    Science.gov (United States)

    Provitera, Michael J.; Esendal, Esin

    2008-01-01

    Drawing on the learning theory of the Felder-Silverman model (2002), and the work of A.F. Grasha, this paper provides a brief review of teaching and learning styles used in management education. Professors, like students, demonstrate a number of learning styles and a professor has some responsibility to organize and present a course to satisfy…

  9. Learning style and confidence: an empirical investigation of Japanese employees

    OpenAIRE

    Yoshitaka Yamazaki

    2012-01-01

    This study aims to examine how learning styles relate to employees' confidence through a view of Kolb's experiential learning theory. For this aim, an empirical investigation was conducted using the sample of 201 Japanese employees who work for a Japanese multinational corporation. Results illustrated that the learning style group of acting orientation described a significantly higher level of job confidence than that of reflecting orientation, whereas the two groups of feeling and thinking o...

  10. The Effects of Mood, Cognitive Style, and Cognitive Ability on Implicit Learning

    Science.gov (United States)

    Pretz, Jean E.; Totz, Kathryn Sentman; Kaufman, Scott Barry

    2010-01-01

    In an experiment with 109 undergraduates, we examined the effect of mood, cognitive style, and cognitive ability on implicit learning in the Artificial Grammar (AG) and Serial Reaction Time (SRT) tasks. Negative mood facilitated AG learning, but had no significant effect on SRT learning. Rational cognitive style predicted greater learning on both…

  11. Skills and Learning Styles of Innovative Companies’ Employees

    Directory of Open Access Journals (Sweden)

    Agnieszka Sitko-Lutek

    2016-12-01

    Full Text Available When faced with various challenges, modern organizations must be able to function effectively. These challenges include globalization, technological advancements, necessity to operate in the state of permanent flux, and finally, generation of intellectual capital, which delivers the competitive edge. As a consequence, the management of a modern organization and its diverse staff, which enables the company to operate effectively without generating losses or conflicts, becomes critical. Nowadays, organizations have to constantly look for innovative ways of conducting business. The conclusion drawn from observing successes of such organizations proves that taking a closer look at the issue of Human Resources (HR diversity’s role is worthwhile. Especially the analysis of managerial skills and learning styles in the context of companies’ innovation seems of particular relevance. The managerial skills and their development are the basis for successful management processes in a modern company. The aim of this study was to identify and assess skills and learning styles of innovative companies’ employees. The empirical material was collected in 2016 on the basis of a research conducted among employees of innovative companies established in Poland. The results of the present research allowed to analyze the impact of the respondents’ independent variables on their skills and learning styles. As a result of the study, recommendations for managers and Human Resources Management (HRM specialists were formulated on how to successfully manage employees’ various skills and learning styles.

  12. Learning styles of nursing and allied health students in Semnan university of medical sciences

    Directory of Open Access Journals (Sweden)

    Fatemeh Ahadi

    2010-01-01

    Full Text Available Introduction: Several factors as learning styles can influence the learning process. The aim of thisstudy was to determine learning styles, which are used by nursing and allied health students in SemnanUniversity of Medical Sciences.Materials and Methods: This cross-sectional study was performed on 199 nursing and allied healthstudents of Semnan university of medical sciences (2007, Iran. Students were selected using a simplesampling method. The assessment instrument was the last version of Kolb learning style inventory (KLSIV.3.1.Results: Generally, the learning styles of students were divergent (% 27.1, accommodations (% 26.6,convergent (%23.6, and assimilation (%22.6. The preferred learning style in nursing students wasconvergent (%31.9, and in allied health students was divergent (%36.1. There was a significantrelationship between the type of learning styles with academic courses (P=0.006 married status(P=0.004 and average score (P=0.031, but there was no correlation between the type of learning stylesand gender.Conclusion: Considering the predominance of convergent and divergent learning styles in thesestudents, the usage of some educational methods such as problem -based learning, group discussions,brain storming, role playing, computerized simulation and demonstration are recommended in theoretical,clinical and skill laboratory fields, so that; the students in the new and objective situations can apply theirvisualization for more earning knowledge and professional skills.

  13. The effects of learning style and gender consciousness on novices’ learning from playing educational games

    Directory of Open Access Journals (Sweden)

    Ming-Puu Chen

    2012-03-01

    Full Text Available This study investigated the effects of novices’ learning style and gender consciousness on learning of programming concepts from game-based learning activities. Four classes of eighth graders with 59 males and 63 females participated in this study. Participants were identified as the diverger group and the converger group based on their stronger learning styles. Game-play activities were implemented to support participants’ learning of programming concepts. The results revealed that (a for the programming comprehension performance, the convergers outperformed the divergers; (b participants’ learning style and gender consciousness significantly affected their project performance; (c for the high gender consciousness learners, the convergers performed better at abstract conceptualization and active experimentation than the divergers did; (d for the divergers, the low gender consciousness learners possessed lower stereotype and were willing to challenge and performed better than the high gender consciousness learners; and (e all the participants revealed positive intrinsic and extrinsic motivation.

  14. Learning Environments Designed According to Learning Styles and Its Effects on Mathematics Achievement

    Science.gov (United States)

    Özerem, Aysen; Akkoyunlu, Buket

    2015-01-01

    Problem Statement: While designing a learning environment it is vital to think about learner characteristics (learning styles, approaches, motivation, interests… etc.) in order to promote effective learning. The learning environment and learning process should be designed not to enable students to learn in the same manner and at the same level,…

  15. Learning styles of registered nurses enrolled in an online nursing program.

    Science.gov (United States)

    Smith, Anita

    2010-01-01

    Technological advances assist in the proliferation of online nursing programs which meet the needs of the working nurse. Understanding online learning styles permits universities to adequately address the educational needs of the professional nurse returning for an advanced degree. The purpose of this study was to describe the learning styles of registered nurses (RNs) enrolled in an online master's nursing program or RN-bachelor of science in nursing (BSN) program. A descriptive, cross-sectional design was used. Kolb's learning style inventory (Version 3.1) was completed by 217 RNs enrolled in online courses at a Southeastern university. Descriptive statistical procedures were used for analysis. Thirty-one percent of the nurses were accommodators, 20% were assimilators, 19% were convergers, and 20% were divergers. Accommodators desire hand-on experiences, carrying out plans and tasks and using an intuitive trial-and-error approach to problem solving. The learning styles of the RNs were similar to the BSN students in traditional classroom settings. Despite their learning style, nurses felt that the online program met their needs. Implementing the technological innovations in nursing education requires the understanding of the hands-on learning of the RN so that the development of the online courses will satisfactorily meet the needs of the nurses who have chosen an online program. Copyright 2010 Elsevier Inc. All rights reserved.

  16. An adult learner's learning style should inform but not limit educational choices

    Science.gov (United States)

    Barry, Margot; Egan, Arlene

    2018-02-01

    Adult learners are attracted to learning opportunities (e.g. course offers) which seem promising in terms of allowing them to match their choices to their own perceived predispositions. To find out more about their personal learning style, some adult learners may fill in a questionnaire designed by researchers who aim (and claim) to enable both course providers and learners to optimise learning outcomes. The evaluation of these questionnaires measures learning styles using indicators developed for this purpose, but the results are not conclusive and their utility is therefore questionable. This narrative review critically examines some of the research which explores the usefulness of considering students' learning styles in adult education. The authors present a discussion - which remains hypothetical - on why the use of learning styles measures continues to be popular despite the absence of rigorous research findings to support this practice. Factors discussed by the authors include confirmation bias (making choices which confirm our prejudices) and user qualification (limiting availability to trained users, e.g. psychologists) as well as limited resources and skills in evaluating research, paired with educators' quest to implement evidence-focused techniques. The authors conclude that while learning styles assessments can be useful for the purpose of reflection on strengths and weaknesses, they should play a limited role in educational choices.

  17. The learning environment and learning styles: a guide for mentors.

    Science.gov (United States)

    Vinales, James Jude

    The learning environment provides crucial exposure for the pre-registration nursing student. It is during this time that the student nurse develops his or her repertoire of skills, knowledge, attitudes and behaviour in order to meet competencies and gain registration with the Nursing and Midwifery Council. The role of the mentor is vital within the learning environment for aspiring nurses. The learning environment is a fundamental platform for student learning, with mentors key to identifying what is conducive to learning. This article will consider the learning environment and learning styles, and how these two essential elements guide the mentor in making sure they are conducive to learning.

  18. Understanding Business Majors' Learning Styles

    Science.gov (United States)

    Giordano, James; Rochford, Regina A.

    2005-01-01

    Recently, business education programs have experienced a decline in enrollment and an increase in attrition. To understand these issues and recommend solutions, the learning styles of 503 first-year business majors at an urban community college were examined. The results demonstrated that: (a) 94% of the participants were analytic learners; (b)…

  19. Comparative exploration of learning styles and teaching techniques between Thai and Vietnamese EFL students and instructors

    Directory of Open Access Journals (Sweden)

    Supalak Nakhornsri

    2016-09-01

    Full Text Available Learning styles have been a particular focus of a number of researchers over the past decades. Findings from various studies researching into how students learn highlight significant relationships between learners’ styles of learning and their language learning processes and achievement. This research focuses on a comparative analysis of the preferences of English learning styles and teaching techniques perceived by students from Thailand and Vietnam, and the teaching styles and techniques practiced by their instructors. The purposes were 1 to investigate the learning styles and teaching techniques students from both countries preferred, 2 to investigate the compatibility of the teaching styles and techniques practiced by instructors and those preferred by the students, 3 to specify the learning styles and teaching techniques students with high level of English proficiency preferred, and 4 to investigate the similarities of Thai and Vietnamese students’ preferences for learning styles and teaching techniques. The sample consisted of two main groups: 1 undergraduate students from King Mongkut’s University of Technology North Bangkok (KMUTNB, Thailand and Thai Nguyen University (TNU, Vietnam and 2 English instructors from both institutions. The instruments employed comprised the Students’ Preferred English Learning Style and Teaching Technique Questionnaire and the Teachers’ Practiced English Teaching Style and Technique Questionnaire. The collected data were analyzed using arithmetic means and standard deviation. The findings can contribute to the curriculum development and assist teachers to teach outside their comfort level to match the students’ preferred learning styles. In addition, the findings could better promote the courses provided for students. By understanding the learning style make-up of the students enrolled in the courses, faculty can adjust their modes of content delivery to match student preferences and maximize

  20. LEARNING STYLES AND STUDENTS’ PERFORMANCE IN DESIGN PROBLEM SOLVING

    Directory of Open Access Journals (Sweden)

    Elçin Tezel

    2010-07-01

    Full Text Available Design curricula and all core design studio courses are prepared for performance attainment by giving theoretical and professional training. However students’ performance may be affected by both the constraints set on a design problem, and their learning styles. This study explores the performance of interior architectural students in relation to their learning styles (as proposed by Kolb’s Experiential Learning Theory, and different types of constraints set on design problems. Design performance, measured as conceptual development, form and spatial configuration, structural innovation and ergonomics, and craftsmanship, was found to change throughout the two bipolar continuum of the learning cycle with regard to two design conditions characterized by different types of constraint use.

  1. Perceptual Learning Style and Learning Proficiency: A Test of the Hypothesis

    Science.gov (United States)

    Kratzig, Gregory P.; Arbuthnott, Katherine D.

    2006-01-01

    Given the potential importance of using modality preference with instruction, the authors tested whether learning style preference correlated with memory performance in each of 3 sensory modalities: visual, auditory, and kinesthetic. In Study 1, participants completed objective measures of pictorial, auditory, and tactile learning and learning…

  2. Value Co-Creation through Learning Styles Segmentation and Integrated Course Design

    Science.gov (United States)

    Young, Mark; Collins, Marianne K.

    2014-01-01

    This paper describes an innovative Principles of Marketing course design and delivery which matches learning and teaching styles, while reducing multi-section variation. Value co-creation is encouraged by instructors and students collaborating in the creation of customized learning experiences which facilitates both teaching style and learning…

  3. A study of students' learning styles and mathematics anxiety amongst form four students in Kerian Perak

    Science.gov (United States)

    Esa, Suraya; Mohamed, Nurul Akmal

    2017-05-01

    This study aims to identify the relationship between students' learning styles and mathematics anxiety amongst Form Four students in Kerian, Perak. The study involves 175 Form Four students as respondents. The instrument which is used to assess the students' learning styles and mathematic anxiety is adapted from the Grasha's Learning Styles Inventory and the Mathematics Anxiety Scale (MAS) respectively. The types of learning styles used are independent, avoidant, collaborative, dependent, competitive and participant. The collected data is processed by SPSS (Statistical Packages for Social Sciences 16.0). The data is analysed by using descriptive statistics and inferential statistics that include t-test and Pearson correlation. The results show that majority of the students adopt collaborative learning style and the students have moderate level of mathematics anxiety. Moreover, it is found that there is significant difference between learning style avoidant, collaborative, dependent and participant based on gender. Amongst all students' learning style, there exists a weak but significant correlation between avoidant, independent and participant learning style and mathematics anxiety. It is very important for the teachers need to be concerned about the effects of learning styles on mathematics anxiety. Therefore, the teachers should understand mathematics anxiety and implement suitable learning strategies in order for the students to overcome their mathematics anxiety.

  4. Pre-Service Teachers' Learning Styles and Preferences towards Instructional Technology Activities and Collaborative Works

    Science.gov (United States)

    Yusop, Farrah Dina; Sumari, Melati

    2015-01-01

    The main purpose of this exploratory study was to investigate pre-service teachers' learning styles and their preferences with respect to 15 technology-based instructional activities and collaborative work tasks. Felder and Silverman's online Index of Learning Style (ILS) and a questionnaire were used to measure students' learning styles and…

  5. The construction and evaluation of a normative learning style preference questionnaire

    Directory of Open Access Journals (Sweden)

    M. J. Viljoen

    2001-09-01

    Full Text Available Various authors have indicated the need for and value of identifying the learning style preferences of individual learners. Similar needs have been voiced in the South African context.The focal point of this study was the development of a normative instrument for predicting the preferred learning styles of individuals. Secondary aims were to determine whether there are differences between groups formed on the basis of gender, academic qualifications and functional disciplines as far as their learning style preferences are concerned. Based on a review of the literature and an existing questionnaire, namely the Learning Style Inventory (LSI 85, the Learning Style Preference Questionnaire (LSPQ consisting of 136 items was developed and administered to respondents (N= 542 in a large organisation. The LSPQ was subjected to a principal factor analysis and six factors were obtained.The six factors were rotated to simple structure by means of the Direct Oblimin procedure. The matrix of intercorrelations of the six factorswas subjected to a second-order factor analysis and yielded a single factor. Opsomming Verskeie outeurs het na die behoefte aan asook die waarde van identi¢kasie van leerstylvoorkeure van individuele leerders verwys. Soortgelyke behoeftes is ook in Suid-Afrikaanse verband geopper.Die fokus van hierdie studie was die ontwikkeling van ’n normatiewe instrument om die leerstylvoorkeure van individue te meet. Sekondere doelwitte was omte bepaal of daar verskille tussen groepe is wat saamgestel is op grond van geslag, akademiese kwalifikasies en funksionele dissiplines wat hul leerstylvoorkeure betref. Gegrond op ’n oorsig van die literatuur en ’n bestaande vraelys, tewete die ‘‘Learning Style Inventory’’ (LSI 85, is die ‘‘Learning Style PreferenceQuestionnaire‘‘ (LSPQ, bestaande uit 136 items, gekonstrueer en op 542 respondente in’n groot organisasie toegepas. Die LSPQ is aan ’n hoo¡aktorontleding onderwerp en ses

  6. Gaining Insight into Business Telecommunications Students through the Assessment of Learning Styles

    Science.gov (United States)

    Sandman, Thomas E.

    2009-01-01

    The assessment of student learning styles can be of significant value for developing and evaluating an appropriate mix of pedagogical techniques and activities. With this in mind, learning style preferences were collected from over 300 undergraduate business telecommunications students. These set of data show that a breadth of learning style…

  7. Influence of learning style on instructional multimedia effects on graduate student cognitive and psychomotor performance.

    Science.gov (United States)

    Smith, A Russell; Cavanaugh, Catherine; Jones, Joyce; Venn, John; Wilson, William

    2006-01-01

    Learning outcomes may improve in graduate healthcare students when attention is given to individual learning styles. Interactive multimedia is one tool shown to increase success in meeting the needs of diverse learners. The purpose of this study was to examine the effect of learning style and type of instruction on physical therapy students' cognitive and psychomotor performance. Participants were obtained by a sample of convenience with students recruited from two physical therapy programs. Twenty-seven students volunteered to participate from Program 1. Twenty-three students volunteered to participate from Program 2. Gregorc learning styles were identified through completion of the Gregorc Style Delineator. Students were randomly assigned to one of two instructional strategies: 1) instructional CD or 2) live demonstration. Differences in cognitive or psychomotor performance following instructional multimedia based on learning style were not demonstrated in this study. Written examination scores improved with both instructional strategies demonstrating no differences between the strategies. Practical examination ankle scores were significantly higher in participants receiving CD instruction than in participants receiving live presentation. Learning style did not significantly affect this improvement. Program 2 performed significantly better on written knee and practical knee and ankle examinations. Learning style had no significant effect on student performance following instruction in clinical skills via interactive multimedia. Future research may include additional measurement instruments assessing other models of learning styles and possible interaction of learning style and instructional strategy on students over longer periods of time, such as a semester or an entire curriculum.

  8. Group Formation Based on Learning Styles: Can It Improve Students' Teamwork?

    Science.gov (United States)

    Kyprianidou, Maria; Demetriadis, Stavros; Tsiatsos, Thrasyvoulos; Pombortsis, Andreas

    2012-01-01

    This work explores the impact of teacher-led heterogeneous group formation on students' teamwork, based on students' learning styles. Fifty senior university students participated in a project-based course with two key organizational features: first, a web system (PEGASUS) was developed to help students identify their learning styles and…

  9. Learning Styles: A Pivotal Point for Retention and Career Decision Guidance.

    Science.gov (United States)

    Jenkins, Jeannette

    The importance of learning styles to student retention and career decision guidance is considered. Learning style is the way people process information and solve problems. Research on right and left brain processing, which indicates that the left hemisphere controls thoughts that are predominately rational and the right hemisphere controls…

  10. On the Outs: Learning Styles, Resistance to Change, and Teacher Retention

    Science.gov (United States)

    Overbay, Amy; Patterson, Ashley Seaton; Grable, Lisa

    2009-01-01

    This study examined the relationship between learning style, level of resistance to change, and teacher retention in schools implementing an intensive schoolwide technology and media integration model. Researchers found that teachers with ST (sensing-thinking) and SF (sensing-feeling) learning style preferences, as described by the Myers-Briggs…

  11. Learning styles of medical students, general surgery residents, and general surgeons: implications for surgical education.

    Science.gov (United States)

    Engels, Paul T; de Gara, Chris

    2010-06-30

    Surgical education is evolving under the dual pressures of an enlarging body of knowledge required during residency and mounting work-hour restrictions. Changes in surgical residency training need to be based on available educational models and research to ensure successful training of surgeons. Experiential learning theory, developed by David Kolb, demonstrates the importance of individual learning styles in improving learning. This study helps elucidate the way in which medical students, surgical residents, and surgical faculty learn. The Kolb Learning Style Inventory, which divides individual learning styles into Accommodating, Diverging, Converging, and Assimilating categories, was administered to the second year undergraduate medical students, general surgery resident body, and general surgery faculty at the University of Alberta. A total of 241 faculty, residents, and students were surveyed with an overall response rate of 73%. The predominant learning style of the medical students was assimilating and this was statistically significant (p learning style found in the residents and faculty. The predominant learning styles of the residents and faculty were convergent and accommodative, with no statistically significant differences between the residents and the faculty. We conclude that medical students have a significantly different learning style from general surgical trainees and general surgeons. This has important implications in the education of general surgery residents.

  12. A study of the relationship between learning styles and cognitive abilities in engineering students

    Science.gov (United States)

    Hames, E.; Baker, M.

    2015-03-01

    Learning preferences have been indirectly linked to student success in engineering programmes, without a significant body of research to connect learning preferences with cognitive abilities. A better understanding of the relationship between learning styles and cognitive abilities will allow educators to optimise the classroom experience for students. The goal of this study was to determine whether relationships exist between student learning styles, as determined by the Felder-Soloman Inventory of Learning Styles (FSILS), and their cognitive performance. Three tests were used to assess student's cognitive abilities: a matrix reasoning task, a Tower of London task, and a mental rotation task. Statistical t-tests and correlation coefficients were used to quantify the results. Results indicated that the global-sequential, active-referential, and visual-verbal FSILS learning styles scales are related to performance on cognitive tasks. Most of these relationships were found in response times, not accuracy. Differences in task performance between gender groups (male and female) were more notable than differences between learning styles groups.

  13. Exploring the Relationship between Annotation Use of EFL Learners and Their Learning Styles

    OpenAIRE

    Şakar, Asım

    2015-01-01

    This study explores the relationship between (perceptual and cognitive) learning styles and the use of hypermedia annotations by intermediate EFL learners while reading a hypermedia text. The participants were 44 EFL adult learners studying English for academic purposes. Data were collected through a software tracking tool, a learning styles survey and interviews. Results did not indicate a significant relationship, suggesting that learners with different learning styles had similar patterns ...

  14. The Relevance of Learning Styles for International Pedagogy in Higher Education

    Science.gov (United States)

    Eaves, Mina

    2011-01-01

    As the number of international students and transnational education agreements continue to rise at an unprecedented rate in many countries, an area of research that continues to lag behind is how far students' learning styles can adapt to different educational contexts. Learning styles research has recently developed from simplistic yet popular…

  15. Learning Style-Based Teaching Harvests a Superior Comprehension of Respiratory Physiology

    Science.gov (United States)

    Anbarasi, M.; Rajkumar, G.; Krishnakumar, S.; Rajendran, P.; Venkatesan, R.; Dinesh, T.; Mohan, J.; Venkidusamy, S.

    2015-01-01

    Students entering medical college generally show vast diversity in their school education. It becomes the responsibility of teachers to motivate students and meet the needs of all diversities. One such measure is teaching students in their own preferred learning style. The present study was aimed to incorporate a learning style-based…

  16. Reading Comprehension, Learning Styles, and Seventh Grade Students

    Science.gov (United States)

    Williams, Judy

    2010-01-01

    Reading is a basic life skill. Unfortunately, in 2007, only 29% of all eighth graders were able to comprehend at or above a proficient reading comprehension level. Sensory learning styles (kinesthetic, tactile, auditory, and visual) affect the way that students prefer to learn and the areas in which they will have difficulty learning. This study…

  17. Investigating the Relationship between Learning Style Preferences and Teaching Collaboration Skills and Technology

    DEFF Research Database (Denmark)

    Kim, Seung L.; Sonnenwald, Diane H.

    2002-01-01

    This paper reports on an exploratory study that investigates the relationship between participants' learning style preferences and their perceptions of a professional workshop on collaboration and technology to support collaboration. The Learning Preference Scale-Students (LPSS) (Owens & Barnes...... style, and Group 2 showed a strong preference for competitive and cooperative learning styles. Group 1 rated the workshop more positively than Group 2. However, Group 2 reported a larger increase in self-efficacy compared to those in Group 1 (18.9% vs. 6.0%). Both groups provided different suggestions...... regarding the content of the workshop. Group 1 suggested adding more discussions and group exercises, whereas Group 2 suggested adding explicit theory or rules to govern behavior. These findings indicate that learning styles should be considered as a potential variable that influences learning outcomes...

  18. Purposive Teaching Styles for Transdisciplinary AEC Education: A Diagnostic Learning Styles Questionnaire

    Directory of Open Access Journals (Sweden)

    Sharifah Mazlina Syed Khuzzan

    2015-07-01

    Full Text Available With the progressive globalisation trend within the Architecture, Engineering, and Construction (AEC industry, transdisciplinary education and training is widely acknowledged as being one of the key factors for leveraging AEC organisational success. Conventional education and training delivery approaches within AEC therefore need a paradigm shift in order to be able to address the emerging challenges of global practices. This study focuses on the use of Personalised Learning Environments (PLEs to specifically address learners’ needs and preferences (learning styles within managed Virtual Learning Environments (VLEs. This research posits that learners can learn better (and be more readily engaged in managed learning environments with a bespoke PLE, in which the deployment of teaching and learning material is augmented towards their individual needs. In this respect, there is an exigent need for the Higher Educational Institutions (HEIs to envelop these new approaches into their organisational learning strategy. However, part of this process requires decision-makers to fully understand the core nuances and interdependencies of functions and processes within the organisation, along with Critical Success Factors (CSFs and barriers. This paper presents findings from the development of a holistic conceptual Diagnostic Learning Styles Questionnaire (DLSQ Framework, comprised of six interrelated dependencies (i.e. Business Strategy, Pedagogy, Process, Resources, Systems Development, and Evaluation. These dependencies influence pedagogical effectiveness. These finding contribute additional understanding to the intrinsic nature of pedagogy in leveraging transdisciplinary AEC training within organisations (to improve learner effectiveness. This framework can help organisations augment and align their strategic priorities to learner-specific traits.

  19. Do quality improvement collaboratives' educational components match the dominant learning style preferences of the participants?

    Science.gov (United States)

    Weggelaar-Jansen, Anne Marie; van Wijngaarden, Jeroen; Slaghuis, Sarah-Sue

    2015-06-20

    Quality improvement collaboratives are used to improve healthcare by various organizations. Despite their popularity literature shows mixed results on their effectiveness. A quality improvement collaborative can be seen as a temporary learning organization in which knowledge about improvement themes and methods is exchanged. In this research we studied: Does the learning approach of a quality improvement collaborative match the learning styles preferences of the individual participants and how does that affect the learning process of participants? This research used a mixed methods design combining a validated learning style questionnaire with data collected in the tradition of action research methodology to study two Dutch quality improvement collaboratives. The questionnaire is based on the learning style model of Ruijters and Simons, distinguishing five learning style preferences: Acquisition of knowledge, Apperception from others, Discovery of new insights, Exercising in fictitious situations and Participation with others. The most preferred learning styles of the participants were Discovery and Participation. The learning style Acquisition was moderately preferred and Apperception and Exercising were least preferred. The educational components of the quality improvement collaboratives studied (national conferences, half-day learning sessions, faculty site visits and use of an online tool) were predominantly associated with the learning styles Acquisition and Apperception. We observed a decrease in attendance to the learning activities and non-conformance with the standardized set goals and approaches. We conclude that the participants' satisfaction with the offered learning approach changed over time. The lacking match between these learning style preferences and the learning approach in the educational components of the quality improvement collaboratives studied might be the reason why the participants felt they did not gain new insights and therefore ceased

  20. The effect of Using Mind Mapping and Learning Styles to Geography Learning outcomes of Junior High School Students

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    Sigit Purwoko

    2015-02-01

    Full Text Available Pengaruh Penggunaan Peta Pikiran dan Gaya Belajar terhadap Hasil Belajar Geografi Siswa SMP Abstract: This study aimed to determine the effect of the use of mind maps, learning styles and inter-action using a mind map learning style on geography learning outcomes. This study was a quasi-experimental study, with a 2 x 3 factorial design study subject consisted of two classes of class VII G as experimental class and class VII F as a control class. Variables consisted of: (1 the dependent variable is the student learning outcomes; (2 the independent variable is the use of mind maps; and (3 is the moderator variable learning styles. Geography learning outcomes were measured using an objective test, whereas learning styles with questionnaires. Measurement data are then analyzed using ANOVA two paths with SPSS v.7. Results of data analysis using ANOVA two path showed that: (1 the use of mind maps significantly effect on learning outcomes geography; (2 learning style does not significantly affect the results of learning geography; and (3 there is no interaction between the use of mind maps and learning style on learning outcomes. Key Words: mind maps, learning styles, learning outcomes   Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan peta pikiran, gaya belajar dan interaksi penggunaan peta pikiran dengan gaya belajar terhadap hasil belajar geografi. Penelitian ini merupakan penelitian eksperimen semu, dengan desain faktorial 2 x 3. Subjek penelitian terdiri dari dua kelas yaitu kelas VII G sebagai kelas eksperimen dan kelas VII F sebagai kelas kontrol. Variabel penelitian terdiri dari: (1 variabel terikat adalah hasil belajar siswa; (2 variabel bebas adalah pengguna-an peta pikiran; dan (3 variabel moderator adalah gaya belajar. Hasil belajar geografi diukur menggunakan tes objektif, sedangkan gaya belajar dengan angket. Data hasil pengukuran dianalisis menggunakan anova dua jalur dengan bantuan SPSS v.7. Hasil analisis data

  1. The relationship between learning preferences (styles and approaches) and learning outcomes among pre-clinical undergraduate medical students

    OpenAIRE

    Liew, Siaw-Cheok; Sidhu, Jagmohni; Barua, Ankur

    2015-01-01

    Background Learning styles and approaches of individual undergraduate medical students vary considerably and as a consequence, their learning needs also differ from one student to another. This study was conducted to identify different learning styles and approaches of pre-clinical, undergraduate medical students and also to determine the relationships of learning preferences with performances in the summative examinations. Methods A cross-sectional study was conducted among randomly selected...

  2. Personality Traits and Learning Styles of Secondary School Students in Serbia

    Science.gov (United States)

    Djigic, Gordana; Stojiljkovic, Snežana; Markovic, Andrijana

    2016-01-01

    This paper is concerned with the personality dimensions and learning styles of secondary school students, attending grammar and technical vocational school. The aim of the study is to examine differences in personality traits and learning styles between students from these types of schools, as well as to determine the predictive power of…

  3. Preferred Learning Styles in the Second Language Classroom.

    Science.gov (United States)

    Cincotta, Madeline Strong

    1998-01-01

    Outlines the preferred learning styles of students studying second languages, offering suggestions for their application in second-language classrooms. The paper describes the right-brain/left-brain theory and how the two brain hemispheres are involved in learning; presents four classroom strategies (diversification, contextualization,…

  4. Teaching APA Style Documentation: Discovery Learning, Scaffolding and Procedural Knowledge

    Science.gov (United States)

    Skeen, Thomas; Zafonte, Maria

    2015-01-01

    Students struggle with learning correct documentation style as found in the Publication Manual of the American Psychological Association and teachers are often at a loss for how to best instruct students in correct usage of APA style. As such, the first part of this paper discusses the current research on teaching documentation styles as well as…

  5. Effect of Kolb's Learning Styles under Inductive Guided-Inquiry Learning on Learning Outcomes

    Science.gov (United States)

    Sudria, Ida Bagus Nyoman; Redhana, I. Wayan; Kirna, I. Made; Aini, Diah

    2018-01-01

    This study aimed to examine the effect of Kolb's learning styles on chemical learning activities and achievement of reaction rate taught by inductive guided inquiry learning. The population was eleventh grade Science students of a senior secondary school having relatively good academic input based on national testing results in Bali, Indonesia.…

  6. A Study of the Relationships among Learning Styles, Participation Types, and Performance in Programming Language Learning Supported by Online Forums

    Science.gov (United States)

    Shaw, Ruey-Shiang

    2012-01-01

    This study is focused on the relationships among learning styles, participation types, and learning performance for programming language learning supported by an online forum. Kolb's learning style inventory was used in this study to determine a learner's learning type: "Diverger", "Assimilator", "Converger", and "Accommodator". Social Learning…

  7. Assessment of Kolb's Learning Styles among College Students of Qom University of Medical Sciences

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    Elaheh rahiminia

    2017-06-01

    Full Text Available Background and Objective: Learning styles are effective factors in the learning. Learning is a relatively permanent change in the behavior or attitude of a person over time. Whereas improvement of existing conditions is pivotal in educational activities; therefore, the aim of this study was the assessment of stages and learning styles based on the Kolb theory among students of Qom University of Medical Sciences. Materials and Methods: This cross-sectional study was performed on 279 students of the QomUniversity of Medical Sciences, Iran in October 2015. The participants were selected using a stratified sampling method. The assessment instrument was the Kolb learning style inventory (KLSI V.3.1. Data analysis was performed by SPSS using descriptive statistics and Chi square test. Results: The mean age of students was 22.23±4.38 years, and the average grade was 16.85±1.65. Generally, the learning styles of students were convergent (% 38.9, assimilative (% 37.5, divergent (%13.2 and accommodative (%10.4. There was a significant relationship between learning styles with gender (P=0.01. Conclusion: Considering the predominance of convergent and assimilative learning styles in these students, it is recommended that faculty members use visual methods such as diagrams, self learning, individualized instruction and emphasize on practical methods in teaching.

  8. Kolb's Experiential Learning Theory in Athletic Training Education: A Literature Review

    Science.gov (United States)

    Schellhase, Kristen C.

    2008-01-01

    Objective: Kolb's Experiential Learning Theory offers insight into the development of learning styles, classification of learning styles, and how students learn through experience. Discussion is presented on the value of Kolb's Experiential Learning Theory for Athletic Training Education. Data Sources: This article reviews research related to…

  9. Linking Individual Learning Styles to Approach-Avoidance Motivational Traits and Computational Aspects of Reinforcement Learning.

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    Kristoffer Carl Aberg

    Full Text Available Learning how to gain rewards (approach learning and avoid punishments (avoidance learning is fundamental for everyday life. While individual differences in approach and avoidance learning styles have been related to genetics and aging, the contribution of personality factors, such as traits, remains undetermined. Moreover, little is known about the computational mechanisms mediating differences in learning styles. Here, we used a probabilistic selection task with positive and negative feedbacks, in combination with computational modelling, to show that individuals displaying better approach (vs. avoidance learning scored higher on measures of approach (vs. avoidance trait motivation, but, paradoxically, also displayed reduced learning speed following positive (vs. negative outcomes. These data suggest that learning different types of information depend on associated reward values and internal motivational drives, possibly determined by personality traits.

  10. Linking Individual Learning Styles to Approach-Avoidance Motivational Traits and Computational Aspects of Reinforcement Learning

    Science.gov (United States)

    Carl Aberg, Kristoffer; Doell, Kimberly C.; Schwartz, Sophie

    2016-01-01

    Learning how to gain rewards (approach learning) and avoid punishments (avoidance learning) is fundamental for everyday life. While individual differences in approach and avoidance learning styles have been related to genetics and aging, the contribution of personality factors, such as traits, remains undetermined. Moreover, little is known about the computational mechanisms mediating differences in learning styles. Here, we used a probabilistic selection task with positive and negative feedbacks, in combination with computational modelling, to show that individuals displaying better approach (vs. avoidance) learning scored higher on measures of approach (vs. avoidance) trait motivation, but, paradoxically, also displayed reduced learning speed following positive (vs. negative) outcomes. These data suggest that learning different types of information depend on associated reward values and internal motivational drives, possibly determined by personality traits. PMID:27851807

  11. The Effect of Animation in Multimedia Computer-Based Learning and Learning Style to the Learning Results

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    Muhammad RUSLI

    2017-10-01

    Full Text Available The effectiveness of a learning depends on four main elements, they are content, desired learning outcome, instructional method and the delivery media. The integration of those four elements can be manifested into a learning modul which is called multimedia learning or learning by using multimedia. In learning context by using computer-based multimedia, there are two main things that need to be noticed so that the learning process can run effectively: how the content is presented, and what the learner’s chosen way in accepting and processing the information into a meaningful knowledge. First it is related with the way to visualize the content and how people learn. The second one is related with the learning style of the learner. This research aims to investigate the effect of the type of visualization—static vs animated—on a multimedia computer-based learning, and learning styles—visual vs verbal, towards the students’ capability in applying the concepts, procedures, principles of Java programming. Visualization type act as independent variables, and learning styles of the students act as a moderator variable. Moreover, the instructional strategies followed the Component Display Theory of Merril, and the format of presentation of multimedia followed the Seven Principles of Multimedia Learning of Mayer and Moreno. Learning with the multimedia computer-based learning has been done in the classroom. The subject of this research was the student of STMIK-STIKOM Bali in odd semester 2016-2017 which followed the course of Java programming. The Design experiments used multivariate analysis of variance, MANOVA 2 x 2, with a large sample of 138 students in 4 classes. Based on the results of the analysis, it can be concluded that the animation in multimedia interactive learning gave a positive effect in improving students’ learning outcomes, particularly in the applying the concepts, procedures, and principles of Java programming. The

  12. Instructional methods and cognitive and learning styles in web-based learning: report of two randomised trials.

    Science.gov (United States)

    Cook, David A; Gelula, Mark H; Dupras, Denise M; Schwartz, Alan

    2007-09-01

    Adapting web-based (WB) instruction to learners' individual differences may enhance learning. Objectives This study aimed to investigate aptitude-treatment interactions between learning and cognitive styles and WB instructional methods. We carried out a factorial, randomised, controlled, crossover, post-test-only trial involving 89 internal medicine residents, family practice residents and medical students at 2 US medical schools. Parallel versions of a WB course in complementary medicine used either active or reflective questions and different end-of-module review activities ('create and study a summary table' or 'study an instructor-created table'). Participants were matched or mismatched to question type based on active or reflective learning style. Participants used each review activity for 1 course module (crossover design). Outcome measurements included the Index of Learning Styles, the Cognitive Styles Analysis test, knowledge post-test, course rating and preference. Post-test scores were similar for matched (mean +/- standard error of the mean 77.4 +/- 1.7) and mismatched (76.9 +/- 1.7) learners (95% confidence interval [CI] for difference - 4.3 to 5.2l, P = 0.84), as were course ratings (P = 0.16). Post-test scores did not differ between active-type questions (77.1 +/- 2.1) and reflective-type questions (77.2 +/- 1.4; P = 0.97). Post-test scores correlated with course ratings (r = 0.45). There was no difference in post-test subscores for modules completed using the 'construct table' format (78.1 +/- 1.4) or the 'table provided' format (76.1 +/- 1.4; CI - 1.1 to 5.0, P = 0.21), and wholist and analytic styles had no interaction (P = 0.75) or main effect (P = 0.18). There was no association between activity preference and wholist or analytic scores (P = 0.37). Cognitive and learning styles had no apparent influence on learning outcomes. There were no differences in outcome between these instructional methods.

  13. Effects of Noise on English Listening Comprehension among Chinese College Students with Different Learning Styles

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    Yang, Xiaohu; Jiang, Meng; Zhao, Yong

    2017-01-01

    This study was intended to determine whether the effects of noise on English listening comprehension would vary among Chinese college students with different learning styles. A total of 89 participants with different learning styles measured using Kolb’s (1985) Learning Style Inventory finished English listening comprehension tests in quiet and in white noise, Chinese two-talker babble, and English two-talker babble respectively. The results showed that the participants in general had significantly poorer performance in the two babble conditions than in quiet and white noise. However, the participants with assimilative and divergent learning styles performed relatively better in Chinese babble, and exhibited stable performance across the three noisy conditions, while the participants with convergent and accommodative learning styles had more impaired performance in both Chinese babble and English babble than in white noise. Moreover, of Kolb’s four learning modes, reflective observation had a facilitative effect on listening performance in Chinese babble and English babble. These findings suggest that differences in learning style might lead to differential performance in foreign language listening comprehension in noise. PMID:29085317

  14. Effects of Noise on English Listening Comprehension among Chinese College Students with Different Learning Styles.

    Science.gov (United States)

    Yang, Xiaohu; Jiang, Meng; Zhao, Yong

    2017-01-01

    This study was intended to determine whether the effects of noise on English listening comprehension would vary among Chinese college students with different learning styles. A total of 89 participants with different learning styles measured using Kolb's (1985) Learning Style Inventory finished English listening comprehension tests in quiet and in white noise, Chinese two-talker babble, and English two-talker babble respectively. The results showed that the participants in general had significantly poorer performance in the two babble conditions than in quiet and white noise. However, the participants with assimilative and divergent learning styles performed relatively better in Chinese babble, and exhibited stable performance across the three noisy conditions, while the participants with convergent and accommodative learning styles had more impaired performance in both Chinese babble and English babble than in white noise. Moreover, of Kolb's four learning modes, reflective observation had a facilitative effect on listening performance in Chinese babble and English babble. These findings suggest that differences in learning style might lead to differential performance in foreign language listening comprehension in noise.

  15. A Study on the learning Styles of Nursing and Midwifery Students in Yasuj According to the VARK Model (2013

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    M Behnam Moghadam

    2015-06-01

    Full Text Available Background & aim: learning style(s is one of the factors effective learning. Information about students learning styles can aid the presentation of teaching appropriate to their individual style. The purpose of this study was to determine the learning styles of Yasuj nursing and midwifery students based on the VARK model in 2013. Methods: The present research was a descriptive- analytical study which was conducted on 140 students from nursing and midwifery faculty of Yasuj university of Medical Sciences in the academic year of 2013. Sampling was done using census method, and data were collected using demographic information questionnaire followed by questionnaire of learning styles. The data were analyzed using SPSS software version 18, and descriptive- inferential statistics. Results: The mean age of the students was 20.68±1.34. Of the total of 140 students, 98 (70% just selected only one type of the learning styles, whereas, 42 students preferred combination of different styles. Reading-writing style was the prevailing style among single learning style which selected by 43 students but the most frequent style among multi style was double style which was selected only by 15% of the participants. Conclusion: Most of the students had an individual learning style. Identifying the dominant learning style(s of the students and adjusting them to the teaching methods of lecturers and also developing lesson plans based on learning styles could improve educational objectives.

  16. Evaluating the Effect of Arabic Engineering Students’ Learning Styles in Blended Programming Courses

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    Ahmed Al-Azawei

    2016-04-01

    Full Text Available This study investigated the complex relationship among learning styles, gender, perceived satisfaction, and academic performance across four programming courses supported by an e-learning platform. A total of 219 undergraduate students from a public Iraqi university who recently experienced e-learning voluntarily took place in the study. The integrated courses adopted a blended learning mode and all learners were provided the same learning content and pathway irrespective of their individual styles. Data were gathered using the Index of Learning Styles (ILS, three closed-ended questions, and the academic record. Traditional statistics and partial least squares structural equation modelling (PLS-SEM were performed to examine the proposed hypotheses. The findings of this research suggested that, overall, learning style dimensions are uncorrelated with either academic performance or perceived satisfaction, except for the processing dimension (active/reflective that has a significant effect on the latter. Furthermore, gender is unassociated with any of the proposed model’s constructs. Finally, there is no significant correlation between academic performance and perceived satisfaction. These results led to the conclusion that even though Arabic engineering students prefer active, sensing, visual, and sequential learning as do other engineering students from different backgrounds, they can adapt to a learning context even if their preferences are not met. The research contributes empirically to the existing debate regarding the potential implications of learning styles and for the Arabic context in particular, since respective research remains rare.

  17. Validity & reliability of the Persian version of Grasha-Richmann student learning styles scale

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    ALI REZA BANESHI

    2013-10-01

    Full Text Available Introduction: The present study aimed to investigate the psychometric properties of Grasha-Riechmann Student Learning Styles Scale. Method: The participants included 1039 students (421 students in human and 618 students in technical sciences, selected through the stratified sampling method from Tehran University. They answered the Grasha-Riechmann student learning style scale and the data was analyzed with exploratory and confirmatory factor analyses. Results: The findings acquired from exploratory factor analysis (n=561, using principal components analysis with varimax rotation showed that Grasha- Riechmann Student Learning Styles Scale includes six factors: Avoidant, Collaborative, Participative, Dependent, Competitive, and Independent. The factors acquired from confirmatory factor analysis (n=478, as model fit indices indicated, was confirmed by indices in exploratory factor analysis. The internal consistency of each subscale, ranging from 0.58 to 0.80, was at an acceptable level. Conclusion: According to the findings, it seems that Participative Styles Scale to be an instrument qualifying validity and reliability for measuring learning interactive styles.

  18. Learning Styles of Medical and Midwifery Students in Mashhad University of Medical Sciences

    OpenAIRE

    A Zeraati; H Hajian; R Shojaian

    2009-01-01

    Background: Students have individual learning style preferences including visual (V; learning from graphs, charts, and flow diagrams), auditory (A; learning from speech), read-write(R; learning from reading and writing), and kinesthetic (K; learning from touch, hearing, smell, taste, and sight).These preferences can be assessed using the VARK questionnaire.Purpose: We aimed to assess different learning styles of medical students in our collage.Methods: This study was conducted to describe lea...

  19. Learning Styles Of Introvert And Extrovert Students In The English Learning Process

    OpenAIRE

    DEWI, KHARISMA YUNITA DEANDRA

    2013-01-01

    Recently, English is the first foreign language taught as a compulsorysubject in Indonesia. We mostly deal with the challenge of learning and using aforeign language, whether at school, at work or in our day-to-day life. This mightbe difficult for Indonesian EFL students to learn. The learners will get thedifficulties when they do not have appropriate learning style in their learningprocess. Therefore, in order to handle the difficulty in their learning, thosestudents must have the learning s...

  20. Learning Style Preferences of Gifted, Average- Ability, and Special Needs Students: A Multivariate Perspective.

    Science.gov (United States)

    Pyryt, Michael C.; Sandals, Lauran H.; Begoray, John

    1998-01-01

    Compared learning-style preferences of intellectually gifted, average-ability, and special-needs students on the Learning Style Inventory. Also examined the general differences among ability level and gender. Analyses indicated that gifted students preferred learning alone, being self-motivated, and using tactile learning approaches, and that…

  1. A comparative study about learning styles preferences of two cultures

    Science.gov (United States)

    Kutay, Huban

    From an anthropologist's (Maddock, 1981) point of view, "science and science education are cultural enterprises which form a part of the wider cultural matrix of society and educational considerations concerning science must be made in the light of this wider perspective" (p.10). In addition, Spindler (1987) states that teaching science is considered cultural transmission while, Wolcott (1991) focuses on learning science as culture acquisition. In these statements, culture is defined as "an ordered system of meaning and symbols, in terms of which social interaction takes place" (Geertz, 1973). Thus, learning and culture are a partnership. Jones and Fennimore (1990) state: "Every culture brings habits of thought, resources, and context, which have built into them vehicles that promote learning and inquiry. Accordingly, children of any culture can and should have curriculum and instructional practices that draw from that culture." (p.16). Unfortunately, even though this statement is probably accurate, most schools still use the same curriculum, instructional methods, and assessment strategies for all students regardless of their differences in learning styles. The purpose of this study is to identify the relationship between students' learning styles and their culture. This is a correlational study. Does culture limit or expand the learning of individuals? For this study Turkish students who graduated from a Turkish high school and undertook undergraduate education in the United States or finished their undergraduate education in Turkey and pursued graduate education in the United States were identified. These Turkish subjects were compared to American college students through learning styles data and anxiety levels as cultural markers. To identify individuals' learning styles we used the Building Excellence (BE) instrument, which is an adult version of The Learning Style Inventory by Dunn, and Rundle (1996.1997, 1998, 1999, and 2000). BE assesses twenty four

  2. Predicting Academic Success and Technological Literacy in Secondary Education: A Learning Styles Perspective

    Science.gov (United States)

    Avsec, Stanislav; Szewczyk-Zakrzewska, Agnieszka

    2017-01-01

    This paper aims to investigate the predictive validity of learning styles on academic achievement and technological literacy (TL). For this purpose, secondary school students were recruited (n = 150). An empirical research design was followed where the TL test was used with a learning style inventory measuring learning orientation, processing…

  3. Students' Learning Style: A Case Study of Senior High Schools in Bengkulu

    Science.gov (United States)

    Arsyad, Safnil

    2018-01-01

    It is widely accepted that the use of learning materials which accommodates students' schemata is much more effective than the ones outside student's present knowledge background. The objectives of this study are to describe the students' learning style distribution and their perception on local oriented and learning style-based English learning…

  4. Investigating the Relationship between Learning Styles and ESP Reading Strategies in Academic Setting

    OpenAIRE

    Parviz Ajideh; Mohammad Zohrabi; Kazem Pouralvar

    2018-01-01

    The present study investigated the relationship between Art and Science students’ learning styles and their ESP reading strategies in academic settings. Learning styles are defined as general orientations learners take toward their learning experiences. This notion has recently obtained attention in the area of language learning. Strategies are also defined as specific behaviours or techniques learners employ towards leaning in order to achieve their learning goals. The strategies chosen are ...

  5. Accommodating student learning styles and preferences in an online occupational therapy course.

    Science.gov (United States)

    Doyle, Nancy Wolcott; Jacobs, Karen

    2013-01-01

    Occupational therapy's online education must be research-based and inclusive. One way to provide a more inclusive online learning experience is to attend to individual learning styles and preferences. This study uses the best available evidence on learning styles and online education to develop, implement, and study occupational therapy students' experiences with an online learning module and related assignment. Eight students consented to take an online survey after completing a learning module and related assignment in an online post-professional graduate course in occupational therapy. The survey explored their learning experience and its applicability to clinical work. Data gathered from multiple-choice, Likert-scale, and open-ended questions were descriptively analyzed. Results from this study suggest that students find the study of learning styles and preferences enjoyable and applicable to their clinical work, but are often motivated by factors such as time and technology when selecting the format of a course assignment.

  6. Learning Styles of Medical and Midwifery Students in Mashhad University of Medical Sciences

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    A Zeraati

    2009-11-01

    Full Text Available Background: Students have individual learning style preferences including visual (V; learning from graphs, charts, and flow diagrams, auditory (A; learning from speech, read-write(R; learning from reading and writing, and kinesthetic (K; learning from touch, hearing, smell, taste, and sight.These preferences can be assessed using the VARK questionnaire.Purpose: We aimed to assess different learning styles of medical students in our collage.Methods: This study was conducted to describe learning styles of 214 Medical and Midwifery students in Mashhad University of medical sciences. By using the English version of the VARK questionnaire, we measured the difference in learning styles of medical students and midwifery students and compared with 57336 global general students who completed the test in VARK website up to Sep 2007.Results: The dominant learning preference of our students was Aural preference (30.8% followed by Read/Write (20.6%, while (7.5% were in Kinesthetic and (5.6% were Visual learners; still most of the students (35.5% represented a multimodal learning preference. No significant difference was found between males and females. The general pattern between medical student and Midwifery student is the same. There was a significant relation between Internship Entrance Exam score and thelearning styles of medical student and who were more Read/Write got higher scores.Conclusion: Knowing that our students have different preferred learning modes will help medical instructors in our faculty develop appropriate learning approaches and explore opportunities so that they will be able to make the educational experience more productive.Key words: MEDICAL EDUCATION, LEARNING MODELS VARK, VISUAL, AUDITORY, READ-WRITE, KINESTHETIC, SSTUDENTS.

  7. An Investigation Into The Learning Styles, English Proficiency And Assessment Performance Of Medical Students

    OpenAIRE

    Toh Peng Yeow; Mark Kiak Min TAN; Li-Cher LOH; Julia BLITZ

    2010-01-01

    Appreciation of learning styles can be of use tohelp both educators and students to enhance theeffectiveness of an educational experience. It has beennoticed that some students at this College are not verygood at expressing themselves in either written orspoken English. Our study aimed to identify thestudent’s learning styles; assess whether there isany correlation between learning style, baselinedemographic data and self rated proficiency in Englishlanguage; and assess their associations wit...

  8. The effects of different styles of interaction on the learning of evolutionary theories

    Science.gov (United States)

    Sugimoto, Akiko

    This study investigated the effects of different styles of social interaction on the learning of advanced biological knowledge. Recent research has increasingly acknowledged the importance of social interaction for promoting learning and cognitive development. However, there has been a controversy about the optimal style of interaction. Some studies have showed the beneficial effects of symmetrical interactions such as an argument between peers, whereas other studies have found the superiority of asymmetrical interactions in which a novice learn with the guidance of an expert. The reason for the contradictory results may be that different styles of interaction enhance different kinds of learning. The present study focused on the three styles of interaction; (1) Conflicting style, in which two novice students with scientifically wrong but conflicting views argue with one another, (2) Guiding style, in which a novice student is led by a more expert student to an understanding of scientifically appropriate knowledge, (3) Mutual Constructive style, in which an expert student and a novice student jointly solve a scientific problem on an equal footing. Sixty college students with non-biology-majors and 30 students with a biology major participated in this experiment to discuss an evolutionary problem in these three styles of interaction, with the former serving as novices and the latter as experts. Analyses of the Pre- and the Posttest performance and discussion processes in the Interaction session revealed the following. First, the Guiding style and the Mutual Constructive style enhanced the acquisition of the scientific evolutionary conceptual framework more effectively than the Conflicting style. However, some students in the Conflicting style also grasped the scientific evolutionary framework, and many students reconstructed their theories of evolution through discussion, even if the frameworks remained scientifically inappropriate. Second, the students who discussed

  9. Learning and Teaching Styles in the Focus: The Case of Iranian EFL Learners and Teachers

    Directory of Open Access Journals (Sweden)

    Zohreh Seifoori

    2015-11-01

    Full Text Available Underlying any learning and teaching process is a set of preferred Learning Styles (LSs and Teaching Styles (TSs which epitomize the overall educational policy and identification of which is sine qua non for any reform of the educational system. This ex-post-facto study scrutinized preference of Iranian EFL teachers' for Expert, Formal Authority, Personal Model, Facilitator, and Delegator TSs and their students' tendencies towards Visual, Auditory, and Kinaesthetic student LSs. We collected the research data based on Grasha's (1996 Teaching Style Questionnaire administered to 30 Iranian EFL teachers and the Barsch Learning Style Questionnaire (1991 administered to 300 Iranian EFL learners. Descriptive statistics of the research data revealed that majority of Iranian EFL learners opt for the visual learning style and teachers highly favour facilitating foreign language learning. However, Visual and Delegate Learning and Teaching Styles reflected the lowest frequencies.  The findings underscore the need to raise teachers’ awareness of LSs so that they can modify their teaching according to their students’ preferences.

  10. Detecting Learning Style through Biometric Technology for Mobile GBL

    Science.gov (United States)

    Mehigan, Tracey J.; Pitt, Ian

    2012-01-01

    Adaptive learning systems tailor content delivery to meet specific needs of the individual for improved learning-outcomes. Learning-styles and personalities are usually determined through the completion of questionnaires. There are a number of models available for this purpose including the Myer-Briggs Model (MBTI), the Big Five Model, and the…

  11. Does individual learning styles influence the choice to use a web-based ECG learning programme in a blended learning setting?

    Science.gov (United States)

    Nilsson, Mikael; Östergren, Jan; Fors, Uno; Rickenlund, Anette; Jorfeldt, Lennart; Caidahl, Kenneth; Bolinder, Gunilla

    2012-01-16

    The compressed curriculum in modern knowledge-intensive medicine demands useful tools to achieve approved learning aims in a limited space of time. Web-based learning can be used in different ways to enhance learning. Little is however known regarding its optimal utilisation. Our aim was to investigate if the individual learning styles of medical students influence the choice to use a web-based ECG learning programme in a blended learning setting. The programme, with three types of modules (learning content, self-assessment questions and interactive ECG interpretation training), was offered on a voluntary basis during a face to face ECG learning course for undergraduate medical students. The Index of Learning Styles (ILS) and a general questionnaire including questions about computer and Internet usage, preferred future speciality and prior experience of E-learning were used to explore different factors related to the choice of using the programme or not. 93 (76%) out of 123 students answered the ILS instrument and 91 the general questionnaire. 55 students (59%) were defined as users of the web-based ECG-interpretation programme. Cronbach's alpha was analysed with coefficients above 0.7 in all of the four dimensions of ILS. There were no significant differences with regard to learning styles, as assessed by ILS, between the user and non-user groups; Active/Reflective; Visual/Verbal; Sensing/Intuitive; and Sequential/Global (p = 0.56-0.96). Neither did gender, prior experience of E-learning or preference for future speciality differ between groups. Among medical students, neither learning styles according to ILS, nor a number of other characteristics seem to influence the choice to use a web-based ECG programme. This finding was consistent also when the usage of the different modules in the programme were considered. Thus, the findings suggest that web-based learning may attract a broad variety of medical students.

  12. Cataloguers May Tend to Have Learning Styles Different from Other Library Job Responsibilities

    Directory of Open Access Journals (Sweden)

    Eamon C. Tewell

    2016-04-01

    Full Text Available Objective – To determine whether relationships exist between academic librarians’ learning styles and their professional work responsibilities. Design – Self-selecting survey. Setting – Email listservs. Subjects – 1579 academic librarians. Methods – The authors used the Index of Learning Styles questionnaire, based on the Felder-Silverman Learning Styles model consisting of eight dimensions on four scales: Active/Reflective, Sensing/Intuitive, Visual/Verbal, and Sequential/Global. The multiple choice survey was distributed online to 23 email listservs for academic librarians in 2011, and to 14 additional listservs in 2013 targeting technical services librarians. 1579 responses were received in total, which were analyzed using ANOVA with a Tukey-Kramer post-hoc mean separation, and descriptively using observed frequencies. Main Results – In examining the relationship between positions and learning styles, the study revealed there to be five statistically significant p-values when the data were analyzed. Catalogers (n=145 were found to be more reflective learners compared to Administrative (n=321 and Instruction librarians (n=228 at the p = 0.009 level. Administrative, Instruction, and “Other” librarians were found to be more intuitive learners than Catalogers, who are more likely to be sensing learners, at the p = 0.0004 level. Digital librarians (n=40 are more likely to be visual learners and Catalogers more likely to be sequential learners when compared to several other librarian categories, at the p = 0.020 and p = 0.001 levels respectively. Conclusions – The authors concluded that there were some statistically significant differences between librarians’ learning styles scores according to job responsibilities. Catalogers were found to have different learning styles than other types of librarians for three out of four scales. Based on these findings, the authors indicate that further research into how librarians’ work

  13. Values and learning styles of postgraduate public health students in Mexico.

    Science.gov (United States)

    Palacios-Hernández, Bruma; Idrovo, Alvaro J; Magaña-Valladares, Laura

    This study identifies learning values and styles of students at the National Institute of Public Health in Mexico (2009-2011). The values described by Allport-Vernon-Lindser and the Learning Style Inventory were used to classify the students. Assimilating learning was identified as more frequent among students, without differences noted in either type of program. As regards values, the theoretical value was well above other values in research-oriented programs, while students of programs focusing on professional development mainly expressed a social value. A significant difference in the social value of accepted and rejected students was found, with the highest levels in the first group. The assimilator learning style was frequent among public health students. The most significant values in each type of program are consistent with the educational areas of focus and the type of work to be developed after graduating from the courses.

  14. CLASSIFICATION OF LEARNING MANAGEMENT SYSTEMS

    Directory of Open Access Journals (Sweden)

    Yu. B. Popova

    2016-01-01

    Full Text Available Using of information technologies and, in particular, learning management systems, increases opportunities of teachers and students in reaching their goals in education. Such systems provide learning content, help organize and monitor training, collect progress statistics and take into account the individual characteristics of each user. Currently, there is a huge inventory of both paid and free systems are physically located both on college servers and in the cloud, offering different features sets of different licensing scheme and the cost. This creates the problem of choosing the best system. This problem is partly due to the lack of comprehensive classification of such systems. Analysis of more than 30 of the most common now automated learning management systems has shown that a classification of such systems should be carried out according to certain criteria, under which the same type of system can be considered. As classification features offered by the author are: cost, functionality, modularity, keeping the customer’s requirements, the integration of content, the physical location of a system, adaptability training. Considering the learning management system within these classifications and taking into account the current trends of their development, it is possible to identify the main requirements to them: functionality, reliability, ease of use, low cost, support for SCORM standard or Tin Can API, modularity and adaptability. According to the requirements at the Software Department of FITR BNTU under the guidance of the author since 2009 take place the development, the use and continuous improvement of their own learning management system.

  15. Relationship between self-directed learning with learning styles and strategies in medical students

    OpenAIRE

    Márquez U, Carolina; Fasce H, Eduardo; Pérez V, Cristhian; Ortega B, Javiera; Parra P, Paula; Ortiz M, Liliana; Matus B, Olga; Ibáñez G, Pilar

    2014-01-01

    Background: Self-directed learning (SDL) skills are particularly important in medical education, considering that physicians should be able to regulate their own learning experiences. Aim: To evaluate the relationship between learning styles and strategies and self-directed learning in medical students. Material and Methods: One hundred ninety nine first year medical students (120 males) participated in the study. Preparation for Independent Learning (EPAI) scale was used to assess self-direc...

  16. Learning Styles and Their Relationship to Stress and Coping in College Women

    Science.gov (United States)

    Vaughn, L. M.; Hensley, B.; Baker, R. C.; Dearman, L.

    2010-01-01

    The authors examined the relationship between specific learning styles and stress and coping in a sample of female college students (N = 246). Participants in the study were assessed on the three variables by completing several self-report instruments measuring learning styles, life stress level, and coping skills. There were significant…

  17. First year medical students' learning style preferences and their correlation with performance in different subjects within the medical course.

    Science.gov (United States)

    Hernández-Torrano, Daniel; Ali, Syed; Chan, Chee-Kai

    2017-08-08

    Students commencing their medical training arrive with different educational backgrounds and a diverse range of learning experiences. Consequently, students would have developed preferred approaches to acquiring and processing information or learning style preferences. Understanding first-year students' learning style preferences is important to success in learning. However, little is understood about how learning styles impact learning and performance across different subjects within the medical curriculum. Greater understanding of the relationship between students' learning style preferences and academic performance in specific medical subjects would be valuable. This cross-sectional study examined the learning style preferences of first-year medical students and how they differ across gender. This research also analyzed the effect of learning styles on academic performance across different subjects within a medical education program in a Central Asian university. A total of 52 students (57.7% females) from two batches of first-year medical school completed the Index of Learning Styles Questionnaire, which measures four dimensions of learning styles: sensing-intuitive; visual-verbal; active-reflective; sequential-global. First-year medical students reported preferences for visual (80.8%) and sequential (60.5%) learning styles, suggesting that these students preferred to learn through demonstrations and diagrams and in a linear and sequential way. Our results indicate that male medical students have higher preference for visual learning style over verbal, while females seemed to have a higher preference for sequential learning style over global. Significant associations were found between sensing-intuitive learning styles and performance in Genetics [β = -0.46, B = -0.44, p styles and performance in Genetics [β = 0.36, B = 0.43, p learning techniques. Instructors can also benefit by modifying and adapting more appropriate teaching approaches in these

  18. Net Generation's Learning Styles in Nursing Education.

    Science.gov (United States)

    Christodoulou, Eleni; Kalokairinou, Athina

    2015-01-01

    Numerous surveys have confirmed that emerging technologies and Web 2.0 tools have been a defining feature in the lives of current students, estimating that there is a fundamental shift in the way young people communicate, socialize and learn. Nursing students in higher education are characterized as digital literate with distinct traits which influence their learning styles. Millennials exhibit distinct learning preferences such as teamwork, experiential activities, structure, instant feedback and technology integration. Higher education institutions should be aware of the implications of the Net Generation coming to university and be prepared to meet their expectations and learning needs.

  19. Learning Style Preferences of Elderly Coronary Artery Disease Patients.

    Science.gov (United States)

    Theis, Saundra L.; Merritt, Sharon L.

    1992-01-01

    The Patient Learning Styles Questionnaire derived from Canfield and administered to 134 elderly coronary artery disease patients revealed the following order of learning preferences: structure, iconics, listening, direct experience, reading, achievement, affiliation, and eminence. Level of education significantly influenced preferred learning…

  20. The Effect of Cooperative Learning on the Learning Approaches of Students with Different Learning Styles

    Science.gov (United States)

    Çolak, Esma

    2015-01-01

    Problem Statement: For this study, a cooperative learning process was designed in which students with different learning styles could help each other in heterogeneous groups to perform teamwork-based activities. One aspect deemed important in this context was whether the instructional environment designed to reach students with different learning…

  1. Learning Style Patterns among Special Needs Adult Students at King Saud University

    Science.gov (United States)

    Alshuaibi, Abdulrahman

    2017-01-01

    Few studies of learning styles among adults with special needs exist worldwide. Even though there are large numbers of adults with special needs, this population in university education has been largely ignored in educational research. Therefore, this study aimed to gather and analyze learning styles of adult special needs students and to provide…

  2. Learning-style preferences of Latino/Hispanic community college students enrolled in an introductory biology course

    Science.gov (United States)

    Sarantopoulos, Helen D.

    Purpose. The purpose of this study was to identify, according to the Productivity Environment Preference Survey (PEPS) instrument, which learning-style domains (environmental, emotional, sociological, and physiological) were favored among Latino/Hispanic community college students enrolled in introductory biology classes in a large, urban community college. An additional purpose of this study was to determine whether statistically significant differences existed between the learning-style preferences and the demographic variables of age, gender, number of prior science courses, second language learner status, and earlier exposure to scientific information. Methodology. The study design was descriptive and ex post facto. The sample consisted of a total of 332 Latino/Hispanic students enrolled in General Biology 3. Major findings. The study revealed that Latino/Hispanic students enrolled in introductory biology at a large urban community college scored higher for the learning preference element of structure. Students twenty-five years and older scored higher for the learning preference elements of light, design, persistence, responsibility, and morning time (p learning-style preferences were found between second English language learners and those who learned English as their primary language (p tactile (p learning-style model and instruments and on recent learning-style research articles on ethnically diverse groups of adult learners; and (2) Instructors should plan their instruction to incorporate the learning-style preferences of their students.

  3. Associations of learning style with cultural values and demographics in nursing students in Iran and Malaysia.

    Science.gov (United States)

    Abdollahimohammad, Abdolghani; Ja'afar, Rogayah

    2015-01-01

    The goal of the current study was to identify associations between the learning style of nursing students and their cultural values and demographic characteristics. A non-probability purposive sampling method was used to gather data from two populations. All 156 participants were female, Muslim, and full-time degree students. Data were collected from April to June 2010 using two reliable and validated questionnaires: the Learning Style Scales and the Values Survey Module 2008 (VSM 08). A simple linear regression was run for each predictor before conducting multiple linear regression analysis. The forward selection method was used for variable selection. P-values ≤0.05 and ≤0.1 were considered to indicate significance and marginal significance, respectively. Moreover, multi-group confirmatory factor analysis was performed to determine the invariance of the Farsi and English versions of the VSM 08. The perceptive learning style was found to have a significant negative relationship with the power distance and monumentalism indices of the VSM 08. Moreover, a significant negative association was observed between the solitary learning style and the power distance index. However, no significant association was found between the analytic, competitive, and imaginative learning styles and cultural values (P>0.05). Likewise, no significant associations were observed between learning style, including the perceptive, solitary, analytic, competitive, and imaginative learning styles, and year of study or age (P>0.05). Students who reported low values on the power distance and monumentalism indices are more likely to prefer perceptive and solitary learning styles. Within each group of students in our study sample from the same school the year of study and age did not show any significant associations with learning style.

  4. An Exploratory Study of the Language-learning Style Preferences of Iranian EFL High School Students

    OpenAIRE

    Afsaneh Effatdokht Ramezani; Meysam Dehgahi; Hanie Hashemi

    2015-01-01

    This study explored the learning style preferences of 40 Iranian students at Marefat Iranian high school in Kuala Lumpur of which, 20 are females and 20 are males. To this end, this study used structured interview to elicit in-depth information from the students. The results of the study showed that learning style preferences of Iranian students were different according to their gender. Female students preferred auditory learning as their major learning style, while male students preferred ki...

  5. Can learning style predict student satisfaction with different instruction methods and academic achievement in medical education?

    Science.gov (United States)

    Gurpinar, Erol; Alimoglu, Mustafa Kemal; Mamakli, Sumer; Aktekin, Mehmet

    2010-12-01

    The curriculum of our medical school has a hybrid structure including both traditional training (lectures) and problem-based learning (PBL) applications. The purpose of this study was to determine the learning styles of our medical students and investigate the relation of learning styles with each of satisfaction with different instruction methods and academic achievement in them. This study was carried out with the participation of 170 first-year medical students (the participation rate was 91.4%). The researchers prepared sociodemographic and satisfaction questionnaires to determine the characteristics of the participants and their satisfaction levels with traditional training and PBL. The Kolb learning styles inventory was used to explore the learning styles of the study group. The participants completed all forms at the end of the first year of medical education. Indicators of academic achievement were scores of five theoretical block exams and five PBL exams performed throughout the academic year of 2008-2009. The majority of the participants took part in the "diverging" (n = 84, 47.7%) and "assimilating" (n = 73, 41.5%) groups. Numbers of students in the "converging" and "accommodating" groups were 11 (6.3%) and 8 (4.5%), respectively. In all learning style groups, PBL satisfaction scores were significantly higher than those of traditional training. Exam scores for "PBL and traditional training" did not differ among the four learning styles. In logistic regression analysis, learning style (assimilating) predicted student satisfaction with traditional training and success in theoretical block exams. Nothing predicted PBL satisfaction and success. This is the first study conducted among medical students evaluating the relation of learning style with student satisfaction and academic achievement. More research with larger groups is needed to generalize our results. Some learning styles may relate to satisfaction with and achievement in some instruction methods.

  6. The relationship between learning styles and motivation to transfer of learning in a vocational training programme

    Directory of Open Access Journals (Sweden)

    Pablo Olivos

    2016-01-01

    Full Text Available Although there is ample research about Kolb's learning styles, few studies have examined their relationship with motivations to transfer, a concept used to assess whether the content and competencies learned through professional training activities are transferred to the workplace context. Ninety-six students (M = 24.58 years old; 99% males from three vocational training institutes participated in laboratory activities at the Renewable Energy Research Institute of the University of Castilla-La Mancha, Spain. They completed a self-administered questionnaire that included the Kolb's Learning Styles Inventory; two scales adapted to measure student motivation to transfer their learning from training experiences; and a scale of satisfaction with the activities. A correlation analysis showed positive and moderately strong correlations (r = .708; p < .01 between motivations to transfer and “the relevance of the activities to academic performance”. A discriminant analysis between transfer and learning styles revealed that the “Student training motivation” item resulted in a distinct difference between assimilators and convergers, explaining 97.1% of the model variance (Wilks’ λ = .459; χ2 = 21.028; Sig. = .002 and classifying 56.4% of the cases. A discussion is presented as to the implications of these results for the theory of learning styles and the ways in which the design of the educational activities described in the study can be improved.

  7. Dental Students' Educational Achievement in Relation to Their Learning Styles: A Cross-Sectional Study in Iran.

    Science.gov (United States)

    Hosseini, Seyed Masoud; Amery, Hamideh; Emadzadeh, Ali; Babazadeh, Saber

    2015-02-24

    In recent decades, many studies have been carried out on the importance of Kolb experiential learning theory (ELT) in teaching-learning processes and its effect on learning outcomes. However, some experts have criticized the Kolb theory and argue that there are some ambiguities on the validity of the theory as an important predictor of achievement. This study has been carried out on dental students' educational achievement in relation to their dominant learning styles based on Kolb theory in Mashhad University of Medical Sciences (Iran). In a cross sectional study, Kolb Learning Style Inventory (LSI Ver. 3.1) as well as a questionnaire containing students' demographic data, academic achievement marks including grade point average (GPA), theoretical and practical courses marks, and the comprehensive basic sciences exam (CBSE) scores were administered on a purposive sample of 162 dental students who had passed their comprehensive basic sciences exam. Educational achievement data were analyzed in relation to students' dominant learning styles, using descriptive and analytical statistics including χ2, Kruskal-Wallis and two-way ANOVA tests. The dominant learning styles of students were Assimilating (53.1%), Converging (24.1%), Diverging (14.2%) and Accommodating (8.6%). Although, the students with Assimilating and Converging learning styles had a better performance on their educational achievement, there was no significant relationship between educational achievement and dominant learning style (P≥0.05). Findings support that the dominant learning style is not exclusively an essential factor to predict educational achievement. Rather, it shows learning preferences of students that may be considered in designing learning opportunities by the teachers.

  8. Learning Styles of Science and Engineering Students in Problem and Project Based Education

    DEFF Research Database (Denmark)

    Kolmos, Anette; Holgaard, Jette Egelund

    2008-01-01

    At the Faculty of Engineering and Science at Aalborg University, Denmark, process skills are an integrated part of the curriculum objectives. During the first year programme, a special course in Collaboration, Learning and Project Management (CLP) is given to develop those skills. In order...... to develop students’ learning and the CLP-course, the Felder-Soloman Index of Learning Styles (ILS®) has been used in that course and data has been collected to investigate whether some learning style preferences are more conspicuous that others in a problem based learning environment. The results show, more...... pronounced than similar studies, that the first year engineering students at Aalborg University are considerable more active than reflective. This results leads to a discussion of whether reflection and conceptualization should be facilitated further in the curriculum to balance the students learning style...

  9. Learning styles of medical students, general surgery residents, and general surgeons: implications for surgical education

    Directory of Open Access Journals (Sweden)

    de Gara Chris

    2010-06-01

    Full Text Available Abstract Background Surgical education is evolving under the dual pressures of an enlarging body of knowledge required during residency and mounting work-hour restrictions. Changes in surgical residency training need to be based on available educational models and research to ensure successful training of surgeons. Experiential learning theory, developed by David Kolb, demonstrates the importance of individual learning styles in improving learning. This study helps elucidate the way in which medical students, surgical residents, and surgical faculty learn. Methods The Kolb Learning Style Inventory, which divides individual learning styles into Accommodating, Diverging, Converging, and Assimilating categories, was administered to the second year undergraduate medical students, general surgery resident body, and general surgery faculty at the University of Alberta. Results A total of 241 faculty, residents, and students were surveyed with an overall response rate of 73%. The predominant learning style of the medical students was assimilating and this was statistically significant (p Conclusions We conclude that medical students have a significantly different learning style from general surgical trainees and general surgeons. This has important implications in the education of general surgery residents.

  10. Joint Feature Selection and Classification for Multilabel Learning.

    Science.gov (United States)

    Huang, Jun; Li, Guorong; Huang, Qingming; Wu, Xindong

    2018-03-01

    Multilabel learning deals with examples having multiple class labels simultaneously. It has been applied to a variety of applications, such as text categorization and image annotation. A large number of algorithms have been proposed for multilabel learning, most of which concentrate on multilabel classification problems and only a few of them are feature selection algorithms. Current multilabel classification models are mainly built on a single data representation composed of all the features which are shared by all the class labels. Since each class label might be decided by some specific features of its own, and the problems of classification and feature selection are often addressed independently, in this paper, we propose a novel method which can perform joint feature selection and classification for multilabel learning, named JFSC. Different from many existing methods, JFSC learns both shared features and label-specific features by considering pairwise label correlations, and builds the multilabel classifier on the learned low-dimensional data representations simultaneously. A comparative study with state-of-the-art approaches manifests a competitive performance of our proposed method both in classification and feature selection for multilabel learning.

  11. Effects of Collaborative Learning Styles on Performance of Students in a Ubiquitous Collaborative Mobile Learning Environment

    Science.gov (United States)

    Fakomogbon, Michael Ayodele; Bolaji, Hameed Olalekan

    2017-01-01

    Collaborative learning is an approach employed by instructors to facilitate learning and improve learner's performance. Mobile learning can accommodate a variety of learning approaches. This study, therefore, investigated the effects of collaborative learning styles on performance of students in a mobile learning environment. The specific purposes…

  12. The Effects of Multimedia and Learning Style on Student Achievement in Online Electronics Course

    Science.gov (United States)

    Surjono, Herman Dwi

    2015-01-01

    This experimental study investigated the effects of multimedia preferences and learning styles on undergraduate student achievement in an adaptive e-learning system for electronics course at the Yogyakarta State University Indonesia. The findings showed that students in which their multimedia preferences and learning style matched with the way the…

  13. Profiling Perceptual Learning Styles of Chinese as a Second Language Learners in University Settings.

    Science.gov (United States)

    Sun, Peijian Paul; Teng, Lin Sophie

    2017-12-01

    This study revisited Reid's (1987) perceptual learning style preference questionnaire (PLSPQ) in an attempt to answer whether the PLSPQ fits in the Chinese-as-a-second-language (CSL) context. If not, what are CSL learners' learning styles drawing on the PLSPQ? The PLSPQ was first re-examined through reliability analysis and confirmatory factor analysis (CFA) with 224 CSL learners. The results showed that Reid's six-factor PLSPQ could not satisfactorily explain the CSL learners' learning styles. Exploratory factor analyses were, therefore, performed to explore the dimensionality of the PLSPQ in the CSL context. A four-factor PLSPQ was successfully constructed including auditory/visual, kinaesthetic/tactile, group, and individual styles. Such a measurement model was cross-validated through CFAs with 118 CSL learners. The study not only lends evidence to the literature that Reid's PLSPQ lacks construct validity, but also provides CSL teachers and learners with insightful and practical guidance concerning learning styles. Implications and limitations of the present study are discussed.

  14. Eportfolio and learning styles in clinical nursing education

    DEFF Research Database (Denmark)

    Nielsen, Kirsten; Pedersen, Birthe D.; Helms, Niels Henrik

    2015-01-01

    This study reports the use of electronic portfolio in clinical nursing education. The study is part of a larger study investigating learning mediated by ePortfolio. The method takes a phenomenological-hermeneutic approach. The setting was a ten-week clinical course in basic nursing. The participa...... only in one way, lack of supervision about how to learn. The study showed some but not unambiguous connection between preferred learning styles and ePortfolio use....

  15. The role of culture in perceptual learning styles

    OpenAIRE

    حسینی فاطمی ، پیشقدم حسینی فاطمی ، پیشقدم

    2009-01-01

    The major aim of this article is to determine the role of culture in perceptual learning style (PLS) preferences of Iranian English learners, in order to minimize teacher-student style conflict in the classroom. To do this, 400 university students from different fields of study were selected from Allameh Tabatabaee University in Tehran, Ferdowsi University of Mashhad and Mashhad University of Medical Sciences. The subjects were asked to answer Reid’s questionnaire (1987) which was designed to...

  16. Felder-Soloman's Index of Learning Styles: internal consistency, temporal stability, and factor structure.

    Science.gov (United States)

    Hosford, Charles C; Siders, William A

    2010-10-01

    Strategies to facilitate learning include using knowledge of students' learning style preferences to inform students and their teachers. Aims of this study were to evaluate the factor structure, internal consistency, and temporal stability of medical student responses to the Index of Learning Styles (ILS) and determine its appropriateness as an instrument for medical education. The ILS assesses preferences on four dimensions: sensing/intuitive information perceiving, visual/verbal information receiving, active/reflective information processing, and sequential/global information understanding. Students entering the 2002-2007 classes completed the ILS; some completed the ILS again after 2 and 4 years. Analyses of responses supported the ILS's intended structure and moderate reliability. Students had moderate preferences for sensing and visual learning. This study provides evidence supporting the appropriateness of the ILS for assessing learning style preferences in medical students.

  17. Searchers' relevance judgments and criteria in evaluating Web pages in a learning style perspective

    DEFF Research Database (Denmark)

    Papaeconomou, Chariste; Zijlema, Annemarie F.; Ingwersen, Peter

    2008-01-01

    The paper presents the results of a case study of searcher's relevance criteria used for assessments of Web pages in a perspective of learning style. 15 test persons participated in the experiments based on two simulated work tasks that provided cover stories to trigger their information needs. Two...... learning styles were examined: Global and Sequential learners. The study applied eye-tracking for the observation of relevance hot spots on Web pages, learning style index analysis and post-search interviews to gain more in-depth information on relevance behavior. Findings reveal that with respect to use......, they are statistically insignificant. When interviewed in retrospective the resulting profiles tend to become even similar across learning styles but a shift occurs from instant assessments with content features of web pages replacing topicality judgments as predominant relevance criteria....

  18. Comparing learning styles among students of Para medicine and Health faculties in Golestan University of medical sciences

    Directory of Open Access Journals (Sweden)

    Ghorban Mohammad Koochaki

    2016-06-01

    Full Text Available Background and Objectives: The validity of an educational system is dependent on students' learning. Learning is a complex variable which is affected by multiple factors. One of the most important factors is learning styles. Knowledge of learning styles of students to educational programs is very important. Therefore, this study aimed to determine students' learning styles among students of Para medicine and Health faculties in Golestan University of medical sciences. Methods: In this cross-sectional study, 401 students of the faculty of Para medicine and Health in Golestan University of Medical Sciences since 1391 till 1392 were selected and filled out the Standard Kolb Learning Style Inventory (LSI which was previously tested for reliability (8.0. Data was analyzed with SPSS version 18.0 using Chi-square and Fisher's exact test. Results: The mean age of students was 20.57 and 71.8 percent of them were female students. Learning styles of students included a convergent (63.4 %, absorber (25.4 %, accommodating (7.5% and divergent (3.7 %. Learning style of study had no statistically significant difference in comparison to sex, school, age, GPA, credits, semester and education levels (P>0.05. Conclusion: Converging and absorbing learning styles were more dominant among students. Therefore, it is recommended to use training methods which fit this style such as showing hand-writings and presentations with self-study materials, simulations, laboratory assignments and problem-based learning.

  19. Associations of learning style with cultural values and demographics in nursing students in Iran and Malaysia

    Directory of Open Access Journals (Sweden)

    Abdolghani Abdollahimohammad

    2015-08-01

    Full Text Available Purpose: The goal of the current study was to identify associations between the learning style of nursing students and their cultural values and demographic characteristics. Methods: A non-probability purposive sampling method was used to gather data from two populations. All 156 participants were female, Muslim, and full-time degree students. Data were collected from April to June 2010 using two reliable and validated questionnaires: the Learning Style Scales and the Values Survey Module 2008 (VSM 08. A simple linear regression was run for each predictor before conducting multiple linear regression analysis. The forward selection method was used for variable selection. P-values ≤0.05 and ≤0.1 were considered to indicate significance and marginal significance, respectively. Moreover, multi-group confirmatory factor analysis was performed to determine the invariance of the Farsi and English versions of the VSM 08. Results: The perceptive learning style was found to have a significant negative relationship with the power distance and monumentalism indices of the VSM 08. Moreover, a significant negative association was observed between the solitary learning style and the power distance index. However, no significant association was found between the analytic, competitive, and imaginative learning styles and cultural values (P>0.05. Likewise, no significant associations were observed between learning style, including the perceptive, solitary, analytic, competitive, and imaginative learning styles, and year of study or age (P>0.05. Conclusion: Students who reported low values on the power distance and monumentalism indices are more likely to prefer perceptive and solitary learning styles. Within each group of students in our study sample from the same school the year of study and age did not show any significant associations with learning style.

  20. The hypothesis of matching about styles of learning and teaching at Higher Education

    Directory of Open Access Journals (Sweden)

    Ana Clara Ventura

    2013-12-01

    Full Text Available A review of learning and teaching styles matching at university over the last ten years is presented. For this purpose, a review was carried out of the Dialnet, Redalyc, Scielo and Doaj data bases due to their scope and importance in the Hispanic context. The descriptors used in the search for information were the key words: learning styles, teaching styles and higher education. The data bases consulted produced a total of 53 papers, with only 17 of these complying with all the criteria for inclusion (paper: empirical research; sample: university;object: correspondence learning and teaching styles; time period 2002-2012; Spanish language. The literature review showed that the matching is researched and understanding from two approaches: (1 adaptive instruction or (2 stylistics. Results are discussed.

  1. The Analysis of Learning Styles and Their Relationship to Academic Achievement in Medical Students of Basic Sciences Program

    Directory of Open Access Journals (Sweden)

    Reza Ghaffari

    2013-10-01

    Full Text Available Introduction: Learning style is an individual’s preferred method of encountering information in specific situations in order to acquire knowledge, skills and attitudes through study or experience. Students and Planers’ awareness of learning styles facilitate the teaching process, increases satisfaction and makes the future choices easier. This study aimed to examine different learning styles and their relation to academic achievement in medical students of basic sciences program at Tabriz University of Medical Sciences. Methods: In this descriptive – analytical study, the sample consisted of all medical students of basic sciences program at Tabriz University of Medical Sciences in 2011-2012. The data was collected through a questionnaire which included respondents’ demographic information and overall grade point average (GPA as well as Kolb standard questions on learning styles. Results: 4.3%, 47.8%, 44.9% and 2.9% of students preferred diverger, assimilator, converger and accommodator learning styles, respectively. Mean overall GPA of students who preferred diverger learning styles was 14.990.39±. Students who prefer assimilator, converger and accommodator learning styles had mean overall GPAs of 14.940.56±, 15.080.58± and 14.830.29± respectively. The findings showed no significant relationship between students’ learning academic achievement and their learning styles (p = 0.689. Conclusion: There was no significant relationship between Students’ academic achievement and their learning styles. Furthermore, the majorit of the students preferred accommodator and converger learning styles. Consequently, adopting interactive teaching methods, using tutorials, running simulation programs, launching laboratory activities and encouraging students to think and analyze problems and issues can be greatly effective in prolonging their learning lifecycle.

  2. Does individual learning styles influence the choice to use a web-based ECG learning programme in a blended learning setting?

    Directory of Open Access Journals (Sweden)

    Nilsson Mikael

    2012-01-01

    Full Text Available Abstract Background The compressed curriculum in modern knowledge-intensive medicine demands useful tools to achieve approved learning aims in a limited space of time. Web-based learning can be used in different ways to enhance learning. Little is however known regarding its optimal utilisation. Our aim was to investigate if the individual learning styles of medical students influence the choice to use a web-based ECG learning programme in a blended learning setting. Methods The programme, with three types of modules (learning content, self-assessment questions and interactive ECG interpretation training, was offered on a voluntary basis during a face to face ECG learning course for undergraduate medical students. The Index of Learning Styles (ILS and a general questionnaire including questions about computer and Internet usage, preferred future speciality and prior experience of E-learning were used to explore different factors related to the choice of using the programme or not. Results 93 (76% out of 123 students answered the ILS instrument and 91 the general questionnaire. 55 students (59% were defined as users of the web-based ECG-interpretation programme. Cronbach's alpha was analysed with coefficients above 0.7 in all of the four dimensions of ILS. There were no significant differences with regard to learning styles, as assessed by ILS, between the user and non-user groups; Active/Reflective; Visual/Verbal; Sensing/Intuitive; and Sequential/Global (p = 0.56-0.96. Neither did gender, prior experience of E-learning or preference for future speciality differ between groups. Conclusion Among medical students, neither learning styles according to ILS, nor a number of other characteristics seem to influence the choice to use a web-based ECG programme. This finding was consistent also when the usage of the different modules in the programme were considered. Thus, the findings suggest that web-based learning may attract a broad variety of medical

  3. Surgical resident learning styles: faculty and resident accuracy at identification of preferences and impact on ABSITE scores.

    Science.gov (United States)

    Kim, Roger H; Gilbert, Timothy; Ristig, Kyle; Chu, Quyen D

    2013-09-01

    As a consequence of surgical resident duty hour restrictions, there is a need for faculty to utilize novel teaching methods to convey information in a more efficient manner. The current paradigm of surgical training, which has not changed significantly since the time of Halsted, assumes that all residents assimilate information in a similar fashion. However, recent data has shown that learners have preferences for the ways in which they receive and process information. The VARK model categorizes learners as visual (V), aural (A), read/write (R), and kinesthetic (K). The VARK learning style preferences of surgical residents have not been previously evaluated. In this study, the preferred learning styles of general surgery residents were determined, along with faculty and resident perception of resident learning styles. In addition, we hypothesized that American Board of Surgery In-Training Exam (ABSITE) scores are associated with preference for a read/write (R) learning style. The Fleming VARK learning styles inventory was administered to all general surgery residents at a university hospital-based program. Responses on the inventory were scored to determine the preferred learning style for each resident. Faculty members were surveyed to determine their accuracy in identifying the preferred learning style of each resident. All residents were also surveyed to determine their accuracy in identifying their peers' VARK preferences. Resident ABSITE scores were examined for association with preferred learning styles. Twenty-nine residents completed the inventory. Most (18 of 29, 62%) had a multimodal preference, although more than a third (11 of 29, 38%) demonstrated a single-modality preference. Seventy-six percent of all residents (22 of 29) had some degree of kinesthetic (K) learning, while under 50% (14 of 29) were aural (A) learners. Although not significant, dominant (R) learners had the highest mean ABSITE scores. Faculty identified residents' learning styles

  4. Perceptual Learning Style Matching and L2 Vocabulary Acquisition

    Science.gov (United States)

    Tight, Daniel G.

    2010-01-01

    This study explored learning and retention of concrete nouns in second language Spanish by first language English undergraduates (N = 128). Each completed a learning style (visual, auditory, tactile/kinesthetic, mixed) assessment, took a vocabulary pretest, and then studied 12 words each through three conditions (matching, mismatching, mixed…

  5. Dental Students’ Educational Achievement in Relation to Their Learning Styles: A Cross-sectional Study in Iran

    Science.gov (United States)

    Hosseini, Seyed Masoud; Amery, Hamideh; Emadzadeh, Ali; Babazadeh, Saber

    2015-01-01

    Background and Objectives: In recent decades, many studies have been carried out on the importance of Kolb experiential learning theory (ELT) in teaching-learning processes and its effect on learning outcomes. However, some experts have criticized the Kolb theory and argue that there are some ambiguities on the validity of the theory as an important predictor of achievement. This study has been carried out on dental students’ educational achievement in relation to their dominant learning styles based on Kolb theory in Mashhad University of Medical Sciences (Iran). Methods: In a cross sectional study, Kolb Learning Style Inventory (LSI Ver. 3.1) as well as a questionnaire containing students’ demographic data, academic achievement marks including grade point average (GPA), theoretical and practical courses marks, and the comprehensive basic sciences exam (CBSE) scores were administered on a purposive sample of 162 dental students who had passed their comprehensive basic sciences exam. Educational achievement data were analyzed in relation to students’ dominant learning styles, using descriptive and analytical statistics including χ2, Kruskal-Wallis and two-way ANOVA tests. Results: The dominant learning styles of students were Assimilating (53.1%), Converging (24.1%), Diverging (14.2%) and Accommodating (8.6%). Although, the students with Assimilating and Converging learning styles had a better performance on their educational achievement, there was no significant relationship between educational achievement and dominant learning style (P≥0.05). Conclusion: Findings support that the dominant learning style is not exclusively an essential factor to predict educational achievement. Rather, it shows learning preferences of students that may be considered in designing learning opportunities by the teachers. PMID:26156915

  6. Association between learning style preferences and anatomy assessment outcomes in graduate-entry and undergraduate medical students.

    Science.gov (United States)

    O'Mahony, Siobhain M; Sbayeh, Amgad; Horgan, Mary; O'Flynn, Siun; O'Tuathaigh, Colm M P

    2016-07-08

    An improved understanding of the relationship between anatomy learning performance and approaches to learning can lead to the development of a more tailored approach to delivering anatomy teaching to medical students. This study investigated the relationship between learning style preferences, as measured by Visual, Aural, Read/write, and Kinesthetic (VARK) inventory style questionnaire and Honey and Mumford's learning style questionnaire (LSQ), and anatomy and clinical skills assessment performance at an Irish medical school. Additionally, mode of entry to medical school [undergraduate/direct-entry (DEM) vs. graduate-entry (GEM)], was examined in relation to individual learning style, and assessment results. The VARK and LSQ were distributed to first and second year DEM, and first year GEM students. DEM students achieved higher clinical skills marks than GEM students, but anatomy marks did not differ between each group. Several LSQ style preferences were shown to be weakly correlated with anatomy assessment performance in a program- and year-specific manner. Specifically, the "Activist" style was negatively correlated with anatomy scores in DEM Year 2 students (rs = -0.45, P = 0.002). The "Theorist" style demonstrated a weak correlation with anatomy performance in DEM Year 2 (rs = 0.18, P = 0.003). Regression analysis revealed that, among the LSQ styles, the "Activist" was associated with poorer anatomy assessment performance (P learning styles contribute little to variation in academic performance in medical students. Anat Sci Educ 9: 391-399. © 2016 American Association of Anatomists. © 2016 American Association of Anatomists.

  7. The learning styles of orthopedic residents, faculty, and applicants at an academic program.

    Science.gov (United States)

    Richard, Raveesh Daniel; Deegan, Brian Francis; Klena, Joel Christian

    2014-01-01

    To train surgeons effectively, it is important to understand how they are learning. The Kolb Learning Style Inventory (LSI) is based on the theory of experiential learning, which divides the learning cycle into 4 stages: active experimentation (AE), abstract conceptualization (AC), concrete experience, and reflective observation. The purpose of this investigation was to assess the learning styles of orthopedic residents, faculty, and applicants at an east-coast residency program. A total of 90 Kolb LSI, Version 3.1 surveys, and demographic questionnaires were distributed to all residency applicants, residents, and faculty at an academic program. Data collected included age, sex, type of medical school (MD or DO), foreign medical graduate status, and either year since college graduation, postgraduate year level (residents only), or years since completion of residency (faculty only). Seventy-one completed Kolb LSI surveys (14 residents, 14 faculty members, and 43 applicants) were recorded and analyzed for statistical significance. The most prevalent learning style among all participants was converging (53.5%), followed by accommodating (18.3%), diverging (18.3%), and assimilating (9.9%) (p = 0.13). The applicant and resident groups demonstrated a high tendency toward AE followed by AC. The faculty group demonstrated a high tendency toward AC followed by AE. None of the 24 subjects who were 26 years or under had assimilating learning styles, in significant contrast to the 12% of 27- to 30-year-olds and 18% of 31 and older group (p learning style involves problem solving and decision making, with the practical application of ideas and the use of hypothetical-deductive reasoning. Learning through AE decreased with age, whereas learning through AC increased. Copyright © 2014 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

  8. Kinesthetic Learning Style Preferences: A Survey of Indonesian EFL Learners by Gender

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    Peptia Asrining Tyas

    2017-04-01

    Full Text Available This study investigated predominant learning style of 3rd semester students of English Language Education Program in Faculty of Cultural Studies at Universitas Brawijaya according to gender. Purposive sampling was used for this research and the sampling in this research was 100 students consist of 34 male students and 66 female students taken from 3rd semester English Department students of Faculty of Cultural Studies at Universitas Brawijaya. All participants were administered an Indonesian translated version of Reid’s (1984 Perceptual Learning Style Preference Questionnaire consisting of Visual, Auditory, Kinesthetic, Tactile, Group, and Individual, included 30 items. This study used quantitative survey design and Microsoft Excel 2007 as the analysis software. The validity and the reliability of this research were calculated by SPSS v.21. The result indicated that predominant male’s learning style was Kinesthetic and estimated by 14 male students (41% while female students become Kinesthetic and Group and estimated the same percentage, 21 students (332% for Kinesthetic and 21 (32% students for Group. The result of the study also shows that both male and female tend to be Kinesthetic. It is suggested that to the English department to adjust the academic activities with the learning styles to enhance educational achievement and encouraging students take responsibility in their whole learning.

  9. A Test of Two Alternative Cognitive Processing Models: Learning Styles and Dual Coding

    Science.gov (United States)

    Cuevas, Joshua; Dawson, Bryan L.

    2018-01-01

    This study tested two cognitive models, learning styles and dual coding, which make contradictory predictions about how learners process and retain visual and auditory information. Learning styles-based instructional practices are common in educational environments despite a questionable research base, while the use of dual coding is less…

  10. Unsupervised feature learning for autonomous rock image classification

    Science.gov (United States)

    Shu, Lei; McIsaac, Kenneth; Osinski, Gordon R.; Francis, Raymond

    2017-09-01

    Autonomous rock image classification can enhance the capability of robots for geological detection and enlarge the scientific returns, both in investigation on Earth and planetary surface exploration on Mars. Since rock textural images are usually inhomogeneous and manually hand-crafting features is not always reliable, we propose an unsupervised feature learning method to autonomously learn the feature representation for rock images. In our tests, rock image classification using the learned features shows that the learned features can outperform manually selected features. Self-taught learning is also proposed to learn the feature representation from a large database of unlabelled rock images of mixed class. The learned features can then be used repeatedly for classification of any subclass. This takes advantage of the large dataset of unlabelled rock images and learns a general feature representation for many kinds of rocks. We show experimental results supporting the feasibility of self-taught learning on rock images.

  11. CROSS CULTURAL CONFLICT RESOLUTION STYLES: DATA REVISITED

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    Nuray ALAGÖZLÜ

    2017-07-01

    Full Text Available The way conflicts are solved is thought to be culturally learned (Hammer, 2005; therefore, this is reflected through language use. Conflicts, as inevitable parts of communication, naturally mirror cultural differences. Intercultural conflict styles have been studied so far by various researchers. How conflicts are initiated, maintained and escalated or terminated are all culture bound (Leung, 2002 and all the related stages vary from one culture to another. In the related literature, there have been attempts to describe different conflict handling classifications. Using Hammer’s (2005 categorization that was found to be more refined and summative, conflict resolution styles of Turkish and American College students were explored using Discourse Completion Tests (DCT with eight conflict situations where the respondents were required to write verbal solutions to overcome the conflicts described in the test. Those utterances were categorized according to Directness/Indirectness Scale modified from Hammer’s (2005 “International Conflict Style Inventory (ICSI” that classifies intercultural conflict resolution styles as high/low level of directness and high/low level of emotional expressiveness. It is believed that the study provides insight into intercultural communication as there are culturally generalizable (etic and learned patterns of conflict resolution styles pertinent to different cultures (Hammer, 2009, p. 223; Ting-Toomey, 1994.

  12. Gender differences in learning styles and academic performance of medical students in Saudi Arabia.

    Science.gov (United States)

    Nuzhat, Ayesha; Salem, Raneem Osama; Al Hamdan, Nasser; Ashour, Nada

    2013-01-01

    Teachers at medical school are often faced with challenges of improving student satisfaction with the learning environment. On the other hand, education in the medical field is very competitive and medical students are exposed to diverse methods of teaching. Students adapt specific learning styles to keep pace with the information delivered to them in their institutions. The aim of this study is to know the differences in learning styles between male and female students, and the effect it has on academic performance. The VARK Questionnaire version 7.0 (Visual, Aural, Read/Write and Kinesthetic) was administered to the fourth year and fifth year medical students at King Saud Bin Abdul Aziz University for Health Sciences, Faculty of Medicine at King Fahad Medical City, Saudi Arabia for determining the preferred learning methods of students participating in this study. The learning styles were then compared to cumulative grade point average (GPA) obtained by the students. The dominant learning style preference of students was multimodal. Among students who preferred unimodal preference, aural and kinesthetic preference was predominant for males and females. Moreover, Females had more diverse preferences than male students. Multimodal learners have higher cumulative GPAs when compared with the unimodal learners. This study revealed variation in learning style preferences among genders, and its implications on academic performance of medical students.

  13. Classification versus inference learning contrasted with real-world categories.

    Science.gov (United States)

    Jones, Erin L; Ross, Brian H

    2011-07-01

    Categories are learned and used in a variety of ways, but the research focus has been on classification learning. Recent work contrasting classification with inference learning of categories found important later differences in category performance. However, theoretical accounts differ on whether this is due to an inherent difference between the tasks or to the implementation decisions. The inherent-difference explanation argues that inference learners focus on the internal structure of the categories--what each category is like--while classification learners focus on diagnostic information to predict category membership. In two experiments, using real-world categories and controlling for earlier methodological differences, inference learners learned more about what each category was like than did classification learners, as evidenced by higher performance on a novel classification test. These results suggest that there is an inherent difference between learning new categories by classifying an item versus inferring a feature.

  14. A predictive validity study of the Learning Style Questionnaire (LSQ) using multiple, specific learning criteria

    NARCIS (Netherlands)

    Kappe, F.R.; Boekholt, L.; den Rooyen, C.; van der Flier, H.

    2009-01-01

    Multiple and specific learning criteria were used to examine the predictive validity of the Learning Style Questionnaire (LSQ). Ninety-nine students in a college of higher learning in The Netherlands participated in a naturally occurring field study. The students were categorized into one of four

  15. Active Learning for Text Classification

    OpenAIRE

    Hu, Rong

    2011-01-01

    Text classification approaches are used extensively to solve real-world challenges. The success or failure of text classification systems hangs on the datasets used to train them, without a good dataset it is impossible to build a quality system. This thesis examines the applicability of active learning in text classification for the rapid and economical creation of labelled training data. Four main contributions are made in this thesis. First, we present two novel selection strategies to cho...

  16. Matching Learning Style to Instructional Method: Effects on Comprehension

    Science.gov (United States)

    Rogowsky, Beth A.; Calhoun, Barbara M.; Tallal, Paula

    2015-01-01

    While it is hypothesized that providing instruction based on individuals' preferred learning styles improves learning (i.e., reading for visual learners and listening for auditory learners, also referred to as the "meshing hypothesis"), after a critical review of the literature Pashler, McDaniel, Rohrer, and Bjork (2008) concluded that…

  17. Accommodating Learning Styles in Prison Writing Classes.

    Science.gov (United States)

    Glasgow, Jacqueline N.

    1994-01-01

    Describes a developmental writing course taught in prison. Describes how the teaching styles took into account the presumed learning preferences of the African Americans in this group of inmates and resulted in a boost of both their self-confidence and the level of their writing. (SR)

  18. Example based style classification

    DEFF Research Database (Denmark)

    Welnicka, Katarzyna; Bærentzen, Jakob Andreas; Aanæs, Henrik

    2011-01-01

    We address the problem of analysis of families of shapes which can be classified according to two categories: the main one corresponding usually to the coarse shape which we call the function and the more subtle one which we call the style. The style and the function both contribute to the overal...... this similarity should be reflected across different functions. We show the usability of our methods first on the example of a number of chess sets which our method helps sort. Next, we investigate the problem of finding a replacement for a missing tooth given a database of teeth....

  19. Do students’ styles of learning affect how they adapt to learning methods and to the learning environment?

    OpenAIRE

    Topal, Kenan; Sarıkaya, Özlem; Basturk, Ramazan; Buke, Akile

    2015-01-01

    Objectives: The process of development and evaluation of undergraduate medical education programs should include analysis of learners’ characteristics, needs, and perceptions about learning methods. This study aims to evaluate medical students’ perceptions about problem-based learning methods and to compare these results with their individual learning styles.Materials and Methods: The survey was conducted at Marmara University Medical School where problem-based learning was implemented in the...

  20. The effect of learning styles and study behavior on success of preclinical students in pharmacology.

    Science.gov (United States)

    Asci, Halil; Kulac, Esin; Sezik, Mekin; Cankara, F Nihan; Cicek, Ekrem

    2016-01-01

    To evaluate the effect of learning styles and study behaviors on preclinical medical students' pharmacology exam scores in a non-Western setting. Grasha-Reichmann Student Learning Study Scale and a modified Study Behavior Inventory were used to assess learning styles and study behaviors of preclinical medical students (n = 87). Logistic regression models were used to evaluate the independent effect of gender, age, learning style, and study behavior on pharmacology success. Collaborative (40%) and competitive (27%) dominant learning styles were frequent in the cohort. The most common study behavior subcategories were study reading (40%) and general study habits (38%). Adequate listening and note-taking skills were associated with pharmacology success, whereas students with adequate writing skills had lower exam scores. These effects were independent of gender. Preclinical medical students' study behaviors are independent predictive factors for short-term pharmacology success.

  1. Increasing Effectiveness of Strategic Planning Seminars through Learning Style

    Science.gov (United States)

    Yildirim, Nail

    2010-01-01

    This research tests the effectiveness of taking learning style variables from the Kolb learning model in designing strategic planning seminars. We observe in our research that the participants in the seminar--school principals--positively judge the effectiveness of the seminar. The research also tests the seminar's effectiveness in terms of the…

  2. Learning style preferences of dental students at a single institution in Riyadh, Saudi Arabia, evaluated using the VARK questionnaire

    Directory of Open Access Journals (Sweden)

    Aldosari MA

    2018-03-01

    Full Text Available Mohammad A Aldosari, Aljazi H Aljabaa, Fares S Al-Sehaibany, Sahar F Albarakati Department of Pediatric Dentistry and Orthodontics, College of Dentistry, King Saud University, Riyadh, Saudi Arabia Background: Students differ in their preferred methods of acquiring, processing, and recalling new information. The aim of this study was to investigate the learning style preferences of undergraduate dental students and examine the influence of gender, Grade Point Average (GPA, and academic year levels on these preferences.Methods: The Arabic version of the visual, aural, read/write, and kinesthetic (VARK questionnaire was administered to 491 students from the first- to the fifth-year academic classes at the College of Dentistry, King Saud University. Descriptive statistics were used to characterize the learning styles of the students, and Chi-square test and Fisher’s test were used to compare the learning preferences between genders and among academic years. Significance was set at a p-value of <0.05.Results: A total of 368 dental students completed the questionnaire. The multimodal learning style was preferred by 63.04% of the respondents, with the remaining 36% having a unimodal style preference. The aural (A and the kinesthetic (K styles were the most preferred unimodal styles. The most common style overall was the quadmodal (VARK style with 23.64% having this preference. These differences did not reach statistical significance (p>0.05. Females were more likely to prefer a bimodal learning style over a unimodal style (relative risk =2.37. Students with a GPA of “C” were less likely to have a bimodal or a quadmodal style preference compared to students with a GPA of “A” (relative risk =0.34 and 0.36, respectively. Second-year students were less likely to prefer a bimodal over a unimodal style compared to first-year students (relative risk =0.34.Conclusion: The quadmodal VARK style is the preferred learning method chosen by dental students

  3. The learning type makes the difference - the interrelation of Kolb's learning styles and psychological status of preclinical medical students at the University of Erlangen.

    Science.gov (United States)

    Burger, Pascal H; Scholz, Michael

    2014-01-01

    Theories on learning styles and types have been integral to discussions on the basics of teaching for nearly 40 years. The learning style typology of Kolb divides learners into four groups (Diverger, Assimilator, Converger and Accomodator), which differ both in terms of their learning behaviour as well as personality and preferences. We studied the sense of coherence and burnout symptoms in medical students of the preclinical semesters (1(st) to 4(th) semester) at the Friedrich-Alexander University of Erlangen within the context of the observed learning styles. A total of 530 students were interviewed in winter semester 2012/13 using standardized psychometric questionnaires. Our students showed a significant correlation between the respective learning styles and expression of a sense of coherence, as well as cognitive and emotional burnout symptoms. The learning styles of the students differed significantly within these same parameters. We also demonstrated that learning styles and types not only influence study performance, but that there are also relationships to sense of coherence and psychological ailments. A more forward-looking integration of the theory of learning types in the medical education curriculum could positively influence both the performance and psychological well-being of the students.

  4. Observation versus classification in supervised category learning.

    Science.gov (United States)

    Levering, Kimery R; Kurtz, Kenneth J

    2015-02-01

    The traditional supervised classification paradigm encourages learners to acquire only the knowledge needed to predict category membership (a discriminative approach). An alternative that aligns with important aspects of real-world concept formation is learning with a broader focus to acquire knowledge of the internal structure of each category (a generative approach). Our work addresses the impact of a particular component of the traditional classification task: the guess-and-correct cycle. We compare classification learning to a supervised observational learning task in which learners are shown labeled examples but make no classification response. The goals of this work sit at two levels: (1) testing for differences in the nature of the category representations that arise from two basic learning modes; and (2) evaluating the generative/discriminative continuum as a theoretical tool for understand learning modes and their outcomes. Specifically, we view the guess-and-correct cycle as consistent with a more discriminative approach and therefore expected it to lead to narrower category knowledge. Across two experiments, the observational mode led to greater sensitivity to distributional properties of features and correlations between features. We conclude that a relatively subtle procedural difference in supervised category learning substantially impacts what learners come to know about the categories. The results demonstrate the value of the generative/discriminative continuum as a tool for advancing the psychology of category learning and also provide a valuable constraint for formal models and associated theories.

  5. What Type of Learning Style Leads to Online Participation in the Mixed-Mode E-Learning Environment? A Study of Software Usage Instruction

    Science.gov (United States)

    Huang, Eugenia Y.; Lin, Sheng Wei; Huang, Travis K.

    2012-01-01

    Learning style is traditionally assumed to be a predictor of learning performance, yet few studies have identified the mediating and moderating effects between the two. This study extends previous research by proposing and testing a model that examines the mediating processes in the relationship between learning style and e-learning performance…

  6. Learning styles of first-year medical students attending Erciyes University in Kayseri, Turkey.

    Science.gov (United States)

    Baykan, Zeynep; Naçar, Melis

    2007-06-01

    Educational researchers postulate that every individual has a different learning style. The aim of this descriptive study was to determine the learning styles of first-year medical students using the Turkish version of the visual, auditory, read-write, kinesthetic (VARK) questionnaire. This study was performed at the Department of Medical Education of Erciyes University in February 2006. The Turkish version of the VARK questionnaire was administered to first-year medical students to determine their preferred mode of learning. According to the VARK questionnaire, students were divided into five groups (visual learners, read-write learners, auditory learners, kinesthetic learners, and multimodal learners). The unimodality preference was 36.1% and multimodality was 63.9%. Among the students who participated in the study (155 students), 23.3% were kinesthetic, 7.7% were auditory, 3.2% were visual, and 1.9% were read-write learners. Some students preferred multiple modes: bimodal (30.3%), trimodal (20.7%), and quadmodal (12.9%). The learning styles did not differ between male and female students, and no statistically significant difference was determined between the first-semester grade average points and learning styles. Knowing that our students have different preferred learning modes will help the medical instructors in our faculty develop appropriate learning approaches and explore opportunities so that they will be able to make the educational experience more productive.

  7. Using VARK Approach for Assessing Preferred Learning Styles of First Year Medical Sciences Students: A Survey from Iran.

    Science.gov (United States)

    Peyman, Hadi; Sadeghifar, Jamil; Khajavikhan, Javaher; Yasemi, Masood; Rasool, Mohammad; Yaghoubi, Yasemi Monireh; Nahal, Monireh Mohammad Hassan; Karim, Hemati

    2014-08-01

    Preferred learning styles of learners are different, which depend on tastes, mentality preparedness, as well as physical condition, in terms of sensory modalities. Identifying and employing appropriate learning styles could play an important role in selecting teaching styles, which can improve education ultimately. The present study aimed to assess the diversity of learning styles amongst medical students of a medical sciences university which was located west of Iran, in 2010. A cross-sectional study which employed VARK learning style's questionnaire was done on 141 first year medical sciences students at Ilam University of Medical Sciences in 2010. Data was collected with use of VARK questionnaire. The validity of the questionnaire was assessed on basis of experts' views and its reliability was calculated by using Cronbach's alpha coefficients (α=0.86). Data were analysed by using SPSS software and Chi-square test. Overall, 41.6% of the samples preferred to use a single learning style (Uni-modal). Of these, 17.7% preferred the Aural style, 17% preferred Reading and Writing, 6.4% preferred Kinesthetic style and 0.7% preferred Visual styles. Among the rest of the 82 students who preferred more than one style (multimodal), 17% chose two modes (bimodal), 13.5% chose three modes (tri-modal), and 27.6% chose four modes (quad-modal). There was a significant difference between educational levels and majors on one hand and choice of quad modal of VARK styles on the other hand (p=0.008). A significant association was also found between participants' genders and selection of visual and reading/writing styles (p=0.03). The preferred learning styles of medical students in the present study were aural and reading/writing. It is suggested that all medical students must be tested to determine their desired learning styles by using VARK questionnaire, also to choose appropriate teaching methods and to improve educational goals.

  8. Women's Learning and Leadership Styles: Impact on Crew Resource Management.

    Science.gov (United States)

    Turney, Mary Ann

    With an increasing number of women becoming members of flight crews, the leadership styles of men and women are at issue. A study explored three basic questions: (1) How do male and female learning and leadership styles differ? (2) What barriers to gender integration and crew teamwork are perceived by pilot crew members? and (3) What…

  9. The Use of the Learning Styles Questionnaire (LSQ) in the United Arab Emirates

    Science.gov (United States)

    Yousef, Darwish Abdulrahman

    2016-01-01

    Purpose: The purpose of this study is to examine the use of Honey and Mumford's (1986) learning styles questionnaire (LSQ) in the context of United Arab Emirates (UAE) higher education. In particular, it aims at exploring the learning style preferences of United Arab Emirates University (UAEU) students using LSQ. It also investigates whether there…

  10. Correlations Between Clinical Judgement and Learning Style Preferences of Nursing Students in the Simulation Room.

    Science.gov (United States)

    Hallin, Karin; Haggstrom, Marie; Backstrom, Britt; Kristiansen, Lisbeth Porskrog

    2015-09-28

    Health care educators account for variables affecting patient safety and are responsible for developing the highly complex process of education planning. Clinical judgement is a multidimensional process, which may be affected by learning styles. The aim was to explore three specific hypotheses to test correlations between nursing students' team achievements in clinical judgement and emotional, sociological and physiological learning style preferences. A descriptive cross-sectional study was conducted with Swedish university nursing students in 2012-2013. Convenience sampling was used with 60 teams with 173 nursing students in the final semester of a three-year Bachelor of Science in nursing programme. Data collection included questionnaires of personal characteristics, learning style preferences, determined by the Dunn and Dunn Productivity Environmental Preference Survey, and videotaped complex nursing simulation scenarios. Comparison with Lasater Clinical Judgement Rubric and Non-parametric analyses were performed. Three significant correlations were found between the team achievements and the students' learning style preferences: significant negative correlation with 'Structure' and 'Kinesthetic' at the individual level, and positive correlation with the 'Tactile' variable. No significant correlations with students' 'Motivation', 'Persistence', 'Wish to learn alone' and 'Wish for an authoritative person present' were seen. There were multiple complex interactions between the tested learning style preferences and the team achievements of clinical judgement in the simulation room, which provides important information for the becoming nurses. Several factors may have influenced the results that should be acknowledged when designing further research. We suggest conducting mixed methods to determine further relationships between team achievements, learning style preferences, cognitive learning outcomes and group processes.

  11. Identifying the Learning Styles and Instructional Tool Preferences of Beginning Food Science and Human Nutrition Majors

    Science.gov (United States)

    Bohn, D. M.; Rasmussen, C. N.; Schmidt, S. J.

    2004-01-01

    Learning styles vary among individuals, and understanding which instructional tools certain learning styles prefer can be utilized to enhance student learning. Students in the introductory Food Science and Human Nutrition course (FSHN 101), taught at the Univ. of Illinois at Urbana-Champaign, were asked to complete Gregorc's Learning Style…

  12. Adaptation Provisioning with Respect to Learning Styles in a Web-Based Educational System: An Experimental Study

    Science.gov (United States)

    Popescu, E.

    2010-01-01

    Personalized instruction is seen as a desideratum of today's e-learning systems. The focus of this paper is on those platforms that use learning styles as personalization criterion called learning style-based adaptive educational systems. The paper presents an innovative approach based on an integrative set of learning preferences that alleviates…

  13. Cognitive Style and Mobile E-Learning in Emergent Otorhinolaryngology-Head and Neck Surgery Disorders for Millennial Undergraduate Medical Students: Randomized Controlled Trial

    Science.gov (United States)

    Chao, Yi-Ping; Huang, Chung-Guei; Fang, Ji-Tseng; Wang, Shu-Ling; Chuang, Cheng-Keng; Kang, Chung-Jan; Hsin, Li-Jen; Lin, Wan-Ni; Fang, Tuan-Jen; Li, Hsueh-Yu

    2018-01-01

    a higher satisfaction score (8, IQR=6-9 vs 6, IQR=4-7, P=.01) compared with the PPS group. Using Friedman’s two-way nonparametric analysis of variance, cognitive styles (field-independent, field-intermediate, or field-dependent classification) and learning modules (IM or PPS) had significant effects on both knowledge gain (both adjusted P<.001) and satisfaction (both adjusted P<.001). Conclusions Mobile e-learning is an effective modality to improve knowledge of emergent ORL-HNS in millennial undergraduate medical students. Our findings suggest the necessity of developing various modules for undergraduate medical students with different cognitive styles. Trial Registration Clinicaltrials.gov NCT02971735; https://clinicaltrials.gov/ct2/show/NCT02971735 (Archived by WebCite at http://www.webcitation.org/6waoOpCEV) PMID:29439943

  14. Leadership Style and Learning Organization: A Survey of Information Technology Professionals

    Science.gov (United States)

    Stewart, Jeffrey E.

    2013-01-01

    Leadership in information technology (IT) firms remains a topic for study. Understanding how IT professionals react to leadership styles creates an opportunity for IT leaders to better lead by matching expectation to leadership style. Previous research has linked transformation leadership to the learning organization in the pharmaceutical sector,…

  15. Parenting Styles and Adolescents' Learning Strategies in the Urban Community.

    Science.gov (United States)

    Boveja, Marsha E.

    1998-01-01

    Examines the relationship between perceived parenting styles and urban adolescents' learning and studying strategies. Results revealed that those adolescents who perceived their parents as being authoritative tended to engage in more effective learning and study strategies. Discusses implications for counselors and teachers using this information…

  16. Results of a study assessing teaching methods of faculty after measuring student learning style preference.

    Science.gov (United States)

    Stirling, Bridget V

    2017-08-01

    Learning style preference impacts how well groups of students respond to their curricula. Faculty have many choices in the methods for delivering nursing content, as well as assessing students. The purpose was to develop knowledge around how faculty delivered curricula content, and then considering these findings in the context of the students learning style preference. Following an in-service on teaching and learning styles, faculty completed surveys on their methods of teaching and the proportion of time teaching, using each learning style (visual, aural, read/write and kinesthetic). This study took place at the College of Nursing a large all-female university in Saudi Arabia. 24 female nursing faculty volunteered to participate in the project. A cross-sectional design was used. Faculty reported teaching using mostly methods that were kinesthetic and visual, although lecture was also popular (aural). Students preferred kinesthetic and aural learning methods. Read/write was the least preferred by students and the least used method of teaching by faculty. Faculty used visual methods about one third of the time, although they were not preferred by the students. Students' preferred learning style (kinesthetic) was the method most used by faculty. Copyright © 2017 Elsevier Ltd. All rights reserved.

  17. Correlations between Clinical Judgement and Learning Style Preferences of Nursing Students in the Simulation Room

    Science.gov (United States)

    Hallin, Karin; Häggström, Marie; Bäckström, Britt; Kristiansen, Lisbeth Porskrog

    2016-01-01

    Background: Health care educators account for variables affecting patient safety and are responsible for developing the highly complex process of education planning. Clinical judgement is a multidimensional process, which may be affected by learning styles. The aim was to explore three specific hypotheses to test correlations between nursing students’ team achievements in clinical judgement and emotional, sociological and physiological learning style preferences. Methods: A descriptive cross-sectional study was conducted with Swedish university nursing students in 2012-2013. Convenience sampling was used with 60 teams with 173 nursing students in the final semester of a three-year Bachelor of Science in nursing programme. Data collection included questionnaires of personal characteristics, learning style preferences, determined by the Dunn and Dunn Productivity Environmental Preference Survey, and videotaped complex nursing simulation scenarios. Comparison with Lasater Clinical Judgement Rubric and Non-parametric analyses were performed. Results: Three significant correlations were found between the team achievements and the students’ learning style preferences: significant negative correlation with ‘Structure’ and ‘Kinesthetic’ at the individual level, and positive correlation with the ‘Tactile’ variable. No significant correlations with students’ ‘Motivation’, ‘Persistence’, ‘Wish to learn alone’ and ‘Wish for an authoritative person present’ were seen. Discussion and Conclusion: There were multiple complex interactions between the tested learning style preferences and the team achievements of clinical judgement in the simulation room, which provides important information for the becoming nurses. Several factors may have influenced the results that should be acknowledged when designing further research. We suggest conducting mixed methods to determine further relationships between team achievements, learning style preferences

  18. Deep learning for tumor classification in imaging mass spectrometry.

    Science.gov (United States)

    Behrmann, Jens; Etmann, Christian; Boskamp, Tobias; Casadonte, Rita; Kriegsmann, Jörg; Maaß, Peter

    2018-04-01

    Tumor classification using imaging mass spectrometry (IMS) data has a high potential for future applications in pathology. Due to the complexity and size of the data, automated feature extraction and classification steps are required to fully process the data. Since mass spectra exhibit certain structural similarities to image data, deep learning may offer a promising strategy for classification of IMS data as it has been successfully applied to image classification. Methodologically, we propose an adapted architecture based on deep convolutional networks to handle the characteristics of mass spectrometry data, as well as a strategy to interpret the learned model in the spectral domain based on a sensitivity analysis. The proposed methods are evaluated on two algorithmically challenging tumor classification tasks and compared to a baseline approach. Competitiveness of the proposed methods is shown on both tasks by studying the performance via cross-validation. Moreover, the learned models are analyzed by the proposed sensitivity analysis revealing biologically plausible effects as well as confounding factors of the considered tasks. Thus, this study may serve as a starting point for further development of deep learning approaches in IMS classification tasks. https://gitlab.informatik.uni-bremen.de/digipath/Deep_Learning_for_Tumor_Classification_in_IMS. jbehrmann@uni-bremen.de or christianetmann@uni-bremen.de. Supplementary data are available at Bioinformatics online.

  19. A Comparison between Learning Style Preferences, Gender, Sport and Achievement in Elite Team Sport Athletes

    Directory of Open Access Journals (Sweden)

    Andrea Braakhuis

    2015-11-01

    Full Text Available Athletes have preferences for the way in which they internalize and process information, whether that is visual, aural, by-doing (kinesthetic, reading or a mixture of preferences. Health professionals that interact with athletes rarely consider the individual learning style prior to any communication or education, despite mounting evidence for the benefits of learning-style tailored education. The aim of this study was to characterize athletes with regards to their preferred learning style. Athletes (n = 93 from 24 sports and various sport achievement levels completed a questionnaire, including the visual (V, auditory (A, reading/writing (R, kinesthetic (K/(VARK Questionnaire for Athletes. Questionnaire outcomes were analysed by X2 analysis on SPSS. The main findings were: (1 very few athletes have a visual learning-style preference; (2 there was a significant relationship between gender and VARK preference (X2 = 13.84, p = 0.003; (3 and between athletic status and VARK preference (X2 = 9.2, p = 0.025; (4 there was a trivial association between individual/ team sport athletes and assessed VARK preference (X2 = 3.95, p = 0.265. Our findings show significant variation in learning-style preference between males and females, and those of different athletic status. Health professionals should be aware of the inadequacy of visual information presentation when working with athletes. Furthermore, health professionals working with elite and female athletes should be comfortable using a mixture of learning styles (multi-modal.

  20. Perceptions of Teaching Methods for Preclinical Oral Surgery: A Comparison with Learning Styles.

    Science.gov (United States)

    Omar, Esam

    2017-01-01

    Dental extraction is a routine part of clinical dental practice. For this reason, understanding the way how students' extraction knowledge and skills development are important. To date, there is no accredited statement about the most effective method for the teaching of exodontia to dental students. Students have different abilities and preferences regarding how they learn and process information. This is defined as learning style. In this study, the effectiveness of active learning in the teaching of preclinical oral surgery was examined. The personality type of the groups involved in this study was determined, and the possible effect of personality type on learning style was investigated. This study was undertaken over five years from 2011 to 2015. The sample consisted of 115 students and eight staff members. Questionnaires were submitted by 68 students and all eight staff members involved. Three measures were used in the study: The Index of Learning Styles (Felder and Soloman, 1991), the Myers-Briggs Type Indicator (MBTI), and the styles of learning typology (Grasha and Hruska-Riechmann). Findings indicated that demonstration and minimal clinical exposure give students personal validation. Frequent feedback on their work is strongly indicated to build the cognitive, psychomotor, and interpersonal skills needed from preclinical oral surgery courses. Small group cooperative active learning in the form of demonstration and minimal clinical exposure that gives frequent feedback and students' personal validation on their work is strongly indicated to build the skills needed for preclinical oral surgery courses.

  1. Dynamic Learning Style Prediction Method Based on a Pattern Recognition Technique

    Science.gov (United States)

    Yang, Juan; Huang, Zhi Xing; Gao, Yue Xiang; Liu, Hong Tao

    2014-01-01

    During the past decade, personalized e-learning systems and adaptive educational hypermedia systems have attracted much attention from researchers in the fields of computer science Aand education. The integration of learning styles into an intelligent system is a possible solution to the problems of "learning deviation" and…

  2. Child Art and the Emergence of Learning Styles.

    Science.gov (United States)

    Wieder, Charles G.

    1998-01-01

    Looks at individuality, in the sense of a personal expressive idiom or style, in children's art production. Shows that early stylistic differences manifest in children's art making correspond to basic cognitive/affective learning processes. Outlines implications for ideas about child development. (DSK)

  3. STUDY OF LEARNING STYLES AND THEIR ROLES IN THE ACADEMIC ACHIEVEMENT OF THE STUDENTS OF PAYAME NOOR UNIVERSITY (PNU

    Directory of Open Access Journals (Sweden)

    Esmaeil GHADERI

    2009-04-01

    Full Text Available This paper reports on a research done to study learning styles and their roles in the academic achievement of the students of Payame Noor University (PNU, Ardebli center, Iran. 184 students (90 male and 94 female students in the fourth semester are chosen as our sample using Cocran's formula and random sampling. The questionnaire memletics is used to collect data about learning styles. Reliability of this questionnaire is calculated as a=0.81 using Cronbach's alpha. Total average of students' scores in four semesters is taken as a criterion for academic achievement. Findings show that most of male students use verbal and solitary learning styles. Most of female student use aural and verbal learning styles. The academic achievement of female students is more than the academic achievement of male students. Among the students of Payame Noor University, those who use visual learning style have the greatest achievement. Students with social, aural, verbal, and solitary learning styles are in the following ranks respectively. Students with logical and physical learning styles have the least academic achievement.

  4. Learning Apache Mahout classification

    CERN Document Server

    Gupta, Ashish

    2015-01-01

    If you are a data scientist who has some experience with the Hadoop ecosystem and machine learning methods and want to try out classification on large datasets using Mahout, this book is ideal for you. Knowledge of Java is essential.

  5. Relationships among student attitudes, motivation, learning styles, learning strategies, patterns of learning, and achievement: A formative evaluation of distance education via Web-based courses

    Science.gov (United States)

    Shih, Ching-Chun

    The World Wide Web (WWW) is the latest in a long line of educational technologies, and the list of courses on it is growing daily. Formative evaluations would help educators enhance teaching and learning in Web-based courses. This study analyzed the relationships between student achievement and the following variables: attitudes, motivation, learning strategies, patterns of learning, learning styles, and selected demographics. It was a population study that included 99 students taking two non-major introductory biology courses offered over the WWW by Iowa State University in the fall of 1997. Seventy-four (75%) students completed a learning style test, an on-line questionnaire, and received a grade by the end of the semester. The learning style test was the Group Embedded Figures Test (GEFT), which classified students as either field-dependent or field-independent. The on-line questionnaire consisted of four scales (attitude, motivation, learning strategies, and patterns of learning), whose pilot-test reliabilities ranged from .71 to .91. The selected demographic variables were gender, class level, previous experience in subject area, hours per week studying and working, computer access, and types of students as off-campus, on-campus, or adult students. Over two-thirds of the students taking the Web-based courses were field-independent learners; however, there were no significant differences (.05 level) in achievement by learning style. Also, different backgrounds of students with different learning styles learned equally well in Web-based courses. The students enjoyed the convenience and self-controlled learning pace and were motivated by competition and high expectations in Web-based learning. They used most the learning strategies of finding important ideas from lectures and memorizing key words of important concepts and least the learning strategy of making charts or tables to organize the material. They seemed more interested in checking their grades than in

  6. A learning-style theory for understanding autistic behaviors

    Directory of Open Access Journals (Sweden)

    Ning eQian

    2011-08-01

    Full Text Available Understanding autism’s ever-expanding array of behaviors, from sensation to cognition, is a major challenge. We posit that autistic and typically-developing brains implement different algorithms that are better suited to learn, represent, and process different tasks; consequently, they develop different interests and behaviors. Computationally, a continuum of algorithms exists, from lookup-table (LUT learning, which aims to store experiences precisely, to interpolation (INT learning, which focuses on extracting underlying statistical structure (regularities from experiences. We hypothesize that autistic and typical brains, respectively, are biased toward LUT and INT learning, in low and high dimensional feature spaces, possibly because of their narrow and broad tuning functions. The LUT style is good at learning relationships that are local, precise, rigid, and contain little regularity for generalization (e.g., the name-number association in a phonebook. However, it is poor at learning relationships that are context dependent, noisy, flexible, and do contain regularities for generalization (e.g., associations between gaze direction and intention, language and meaning, sensory input and interpretation, motor-control signal and movement, and social situation and proper response. The LUT style poorly compresses information, resulting in inefficiency, sensory overload (overwhelm, restricted interests, and resistance to change. It also leads to poor prediction and anticipation, frequent surprises and over-reaction (hyper-sensitivity, impaired attentional selection and switching, concreteness, strong local focus, weak adaptation, and superior and inferior performances on simple and complex tasks. The spectrum nature of autism can be explained by different degrees of LUT learning among different individuals, and in different systems of the same individual. Our theory suggests that therapy should focus on training autistic LUT algorithm to learn

  7. A Learning-Style Theory for Understanding Autistic Behaviors

    Science.gov (United States)

    Qian, Ning; Lipkin, Richard M.

    2011-01-01

    Understanding autism's ever-expanding array of behaviors, from sensation to cognition, is a major challenge. We posit that autistic and typically developing brains implement different algorithms that are better suited to learn, represent, and process different tasks; consequently, they develop different interests and behaviors. Computationally, a continuum of algorithms exists, from lookup table (LUT) learning, which aims to store experiences precisely, to interpolation (INT) learning, which focuses on extracting underlying statistical structure (regularities) from experiences. We hypothesize that autistic and typical brains, respectively, are biased toward LUT and INT learning, in low- and high-dimensional feature spaces, possibly because of their narrow and broad tuning functions. The LUT style is good at learning relationships that are local, precise, rigid, and contain little regularity for generalization (e.g., the name–number association in a phonebook). However, it is poor at learning relationships that are context dependent, noisy, flexible, and do contain regularities for generalization (e.g., associations between gaze direction and intention, language and meaning, sensory input and interpretation, motor-control signal and movement, and social situation and proper response). The LUT style poorly compresses information, resulting in inefficiency, sensory overload (overwhelm), restricted interests, and resistance to change. It also leads to poor prediction and anticipation, frequent surprises and over-reaction (hyper-sensitivity), impaired attentional selection and switching, concreteness, strong local focus, weak adaptation, and superior and inferior performances on simple and complex tasks. The spectrum nature of autism can be explained by different degrees of LUT learning among different individuals, and in different systems of the same individual. Our theory suggests that therapy should focus on training autistic LUT algorithm to learn regularities

  8. A Learning Style Comparison between Synchronous Online and Face-to-Face Engineering Graphics Instruction

    Science.gov (United States)

    Goodridge, Wade H.; Lawanto, Oenardi; Santoso, Harry B.

    2017-01-01

    The implementation of a successful engineering program to a synchronous online curriculum is subject to many impacting factors. One such factor, that has not seen much investigation, concerns learning styles. Student learning styles may have a dramatic influence on the success of a synchronous online deliverable engineering graphics curriculum.…

  9. Effects of a Centered Virtual Teaching Environment on Learning Styles in the Academic Performance of College Students

    Directory of Open Access Journals (Sweden)

    H. Fontalvo

    2009-03-01

    Full Text Available Based on the concept of adaptive hypermedia, the webCT platform was used to design a learning virtual environment that would allow students’ interaction of different support materials with their usual styles of learning. GA Latin Square design was used to determine the role that environment and learning styles, along with intrinsic motivation, played on academic performance, navigation patterns, and number of visits to the support materials. The study showed an important difference in academic performance in favor of the Balanced group. Intrinsic motivation was the main explicative factor for the differences found beyond learning styles. The conclusion was that there are differences in the way of using the objects of learning, and that there are differentiated patterns to access the support material, depending on the students’ learning styles.

  10. Communicator Style as a Predictor of Cyberbullying in a Hybrid Learning Environment

    Science.gov (United States)

    Dursun, Ozcan Ozgur; Akbulut, Yavuz

    2012-01-01

    This study aimed to describe the characteristics of undergraduate students in a hybrid learning environment with regard to their communicator styles and cyberbullying behaviors. Moreover, relationships between cyberbullying victimization and learners' perceived communicator styles were investigated. Cyberbullying victimization was measured through…

  11. The effects of field dependent/independent style awareness on learning strategies and outcomes in an instructional hypermedia module

    Science.gov (United States)

    Fyle, Clifford Omodele

    The purpose of this study was to examine whether field-dependent/independent style awareness affects learning outcomes and learning strategies used in a hypermedia instructional module. Field-dependent/independent style was measured using the Global Embedded Figures Test. Style awareness meant that students were provided with information and explanations about their individual cognitive styles and the learning strategies that accommodate those styles. The study entailed examining students' achievement in a multiple-choice test and performance in a design task, and also their navigation patterns as they studied a science-oriented Webquest. The sample consisted of 149 eighth-grade students in 10 sections of a science class taught by two teachers in a public middle school. A two-group posttest-only design on one factor (style awareness) was used. Sixty-eight students in five sections of the class were assigned to the treatment group (field dependent/independent style awareness) while the other 81 students in five sections were assigned to the control group (no field dependent/independent style awareness). The study took place over a period of 6 days. On the first day, students in the treatment group were first tested and debriefed on their individual styles. Next, all students in both the treatment and control groups studied the hypermedia instructional module (Webquest) over a period of two days. On the fourth and fifth days students worked on the performance tasks, and on the sixth day students took the multiple-choice test and students in the control group were tested and debriefed on their individual styles. The findings indicate that style awareness significantly influenced the learning strategies of field-dependent students as they studied and carried out learning tasks in the Webquest. Field-dependent students with style awareness used hypertext links and navigated the menu sequentially a greater number of times than their counterparts with no style awareness

  12. An exploratory study of the relationship between learning styles and academic performance among students in different nursing programs.

    Science.gov (United States)

    Li, Yuh-Shiow; Yu, Wen-Pin; Liu, Chin-Fang; Shieh, Sue-Heui; Yang, Bao-Huan

    2014-10-27

    Abstract Background: Learning style is a major consideration in planning for effective and efficient instruction and learning. Learning style has been shown to influence academic performance in the previous research. Little is known about Taiwanese students' learning styles, particularly in the field of nursing education. Aim: This purpose of this study was to identify the relationship between learning styles and academic performance among nursing students in a five-year associate degree of nursing (ADN) program and a two-year bachelor of science in nursing (BSN) program in Taiwan. Methods/Design: This study employed a descriptive and exploratory design. The Chinese version of the Myers-Briggs Type Indicator (MBTI) Form M was an instrument. Data such as grade point average (GPA) were obtained from the Office of Academic Affairs and the Registrar computerized records. Descriptive statistics, one-way analysis of variance ANOVA) and chi-square statistical analysis were used to explore the relationship between academic performance and learning style in Taiwanese nursing students. Results/Findings: The study sample included 285 nursing students: 96 students in a two-year BSN program, and 189 students in a five-year ADN program. Two common learning styles were found: introversion, sensing, thinking, and judging (ISTJ); and introversion, sensing, feeling, and judging (ISFJ). A sensing-judging pair was identified in 43.3% of the participants. Academic performance was significantly related to learning style (p academic performance and enhance student success. A large sample is recommended for further research. Understanding the learning style preferences of students can enhance learning for those who are under performing in their academic studies, thereby enhancing nursing education.

  13. Development Of Phisyics Learning Documents Based Student's Learning Style In The Matter Of Temperature And Heat Subjects Of Class X High School

    OpenAIRE

    Resty Noriwita, Indah Resty Noriwita Indah; Nasir, Muhammad Nasir Muhammad; Ma’aruf, Zuhdi Ma’aruf Zuhdi

    2015-01-01

    This study aims to produce a learning documents physicsbased learning styles of students in the matter of temperature and heat of class subjectS X SMA valid. The subjects were learning documents that consists of a lesson plan (RPP), worksheets (LKS), medium of learning and achievement test of cognitive, affective, process, and psychomotor. Data collection instrument in this study is an instrument validity device physics-based learning students' learning styles in the matter of temperature and...

  14. Active Learning of Classification Models with Likert-Scale Feedback.

    Science.gov (United States)

    Xue, Yanbing; Hauskrecht, Milos

    2017-01-01

    Annotation of classification data by humans can be a time-consuming and tedious process. Finding ways of reducing the annotation effort is critical for building the classification models in practice and for applying them to a variety of classification tasks. In this paper, we develop a new active learning framework that combines two strategies to reduce the annotation effort. First, it relies on label uncertainty information obtained from the human in terms of the Likert-scale feedback. Second, it uses active learning to annotate examples with the greatest expected change. We propose a Bayesian approach to calculate the expectation and an incremental SVM solver to reduce the time complexity of the solvers. We show the combination of our active learning strategy and the Likert-scale feedback can learn classification models more rapidly and with a smaller number of labeled instances than methods that rely on either Likert-scale labels or active learning alone.

  15. Learning Style Preferences of Asian American (Chinese, Filipino, Korean, and Vietnamese) Students in Secondary Schools.

    Science.gov (United States)

    Park, Clara C.

    1997-01-01

    Investigates for perceptual learning style preferences (auditory, visual, kinesthetic, and tactile) and preferences for group and individual leaning of Chinese, Filipino, Korean, and Vietnamese secondary education students. Comparison analysis reveals diverse learning style preferences between Anglo and Asian American students and also between…

  16. Document Classification Using Distributed Machine Learning

    OpenAIRE

    Aydin, Galip; Hallac, Ibrahim Riza

    2018-01-01

    In this paper, we investigate the performance and success rates of Na\\"ive Bayes Classification Algorithm for automatic classification of Turkish news into predetermined categories like economy, life, health etc. We use Apache Big Data technologies such as Hadoop, HDFS, Spark and Mahout, and apply these distributed technologies to Machine Learning.

  17. Emotional Intelligence among Auditory, Reading, and Kinesthetic Learning Styles of Elementary School Students in Ambon-Indonesia

    Science.gov (United States)

    Leasa, Marleny; Corebima, Aloysius D.; Ibrohim; Suwono, Hadi

    2017-01-01

    Students have unique ways in managing the information in their learning process. VARK learning styles associated with memory are considered to have an effect on emotional intelligence. This quasi-experimental research was conducted to compare the emotional intelligence among the students having auditory, reading, and kinesthetic learning styles in…

  18. Effect of moderate learning style-teaching mode mismatch on academic performance among 2nd year medical students in Pakistan.

    Science.gov (United States)

    Hamza, Muhammad; Inam-Ul-Haq; Hamid, Sidra; Nadir, Maha; Mehmood, Nadir

    2018-01-01

    The vagueness surrounding "learning style-teaching mode mismatch" makes its effects uncertain. This study tried to tackle that controversy by comparing and assessing the effect of different learning styles on performance in physiology examination when teaching mode was somewhat different than learning preferences of the 2 nd year medical students. A total of 102 2 nd year medical students participated in this study. Honey and Mumford learning style questionnaire was used to categorize the participants into one of the four learning styles (activist, reflector, theorist, and pragmatist). Many teaching modes were used in the medical college. The first professional theory and practical physiology scores of these 102 students of University of Health Sciences were obtained online. Learning styles were compared with physiology scores and age using one-way analysis of variance and post hoc statistical analysis and between males and females by using Chi-square test. Pragmatists had the lowest total physiology score ( P styles of learning ( P = 0.9). No student scored below 60%. This study demonstrated that the effect of moderate teaching-learning mismatch is different for different learners. Theorists excelled as they had the highest physiology score, while pragmatists lagged in comparison. Reflectors and activists performed better than pragmatists but were worse than theorists. Despite this, none of the students scored below 60%. This shows that a moderate learning style-teaching mode mismatch is not harmful for learning.

  19. Assessment of Teaching and Learning Styles in Practical Motor ...

    African Journals Online (AJOL)

    ... of Teaching and Learning Styles in Practical Motor Vehicle Mechanics Work At ... Board should organize workshop for its teachers in technical colleges on the ... students to participate actively in any activities when teaching practical skills.

  20. Perceptions of Teaching Methods for Preclinical Oral Surgery: A Comparison with Learning Styles

    Science.gov (United States)

    Omar, Esam

    2017-01-01

    Purpose: Dental extraction is a routine part of clinical dental practice. For this reason, understanding the way how students’ extraction knowledge and skills development are important. Problem Statement and Objectives: To date, there is no accredited statement about the most effective method for the teaching of exodontia to dental students. Students have different abilities and preferences regarding how they learn and process information. This is defined as learning style. In this study, the effectiveness of active learning in the teaching of preclinical oral surgery was examined. The personality type of the groups involved in this study was determined, and the possible effect of personality type on learning style was investigated. Method: This study was undertaken over five years from 2011 to 2015. The sample consisted of 115 students and eight staff members. Questionnaires were submitted by 68 students and all eight staff members involved. Three measures were used in the study: The Index of Learning Styles (Felder and Soloman, 1991), the Myers-Briggs Type Indicator (MBTI), and the styles of learning typology (Grasha and Hruska-Riechmann). Results and Discussion: Findings indicated that demonstration and minimal clinical exposure give students personal validation. Frequent feedback on their work is strongly indicated to build the cognitive, psychomotor, and interpersonal skills needed from preclinical oral surgery courses. Conclusion: Small group cooperative active learning in the form of demonstration and minimal clinical exposure that gives frequent feedback and students’ personal validation on their work is strongly indicated to build the skills needed for preclinical oral surgery courses. PMID:28357004

  1. Developing Learning Style Inventory for Effective Instructional Design

    Science.gov (United States)

    Guven, Bulent; Ozbek, Ozge

    2007-01-01

    In the process of education, instead of classifying students according to their insufficiency, teachers should try to get to know them and determine their cognitive, sensorial, and kinetic characteristics. This study on improving learning style inventory, which aims to help classroom teachers determine students' attributes in individualized…

  2. The Learning Styles of Students Related to Individualized Typewriting Instruction

    Science.gov (United States)

    Schmidt, B. June

    1983-01-01

    Discusses a study which indicated that relationships exist between students' learning styles and their attitudes toward individualized, competency-based typewriting instruction, particularly for beginning students. (JOW)

  3. Can Learning Style Predict Student Satisfaction with Different Instruction Methods and Academic Achievement in Medical Education?

    Science.gov (United States)

    Gurpinar, Erol; Alimoglu, Mustafa Kemal; Mamakli, Sumer; Aktekin, Mehmet

    2010-01-01

    The curriculum of our medical school has a hybrid structure including both traditional training (lectures) and problem-based learning (PBL) applications. The purpose of this study was to determine the learning styles of our medical students and investigate the relation of learning styles with each of satisfaction with different instruction methods…

  4. Clinical Experience and Learning Style of Flight Nurse and Aeromedical Evacuation Technician Students.

    Science.gov (United States)

    De Jong, Marla J; Dukes, Susan F; Dufour, Karey M; Mortimer, Darcy L

    2017-01-01

    The clinical experience and preferred learning style of U.S. Air Force flight nurses and aeromedical evacuation technicians are unknown. Using a cross-sectional survey design, we gathered data regarding the clinical experience, level of comfort providing clinical care, and preferred learning style of 77 active duty (AD), Air Force Reserve (AFR), and Air National Guard (ANG) nurses enrolled in the U.S. Air Force School of Aerospace Medicine Flight Nurse course, and 121 AD, AFR, and ANG medical technicians enrolled in the Aeromedical Evacuation Technician course. Nurses and medical technicians reported 7.6 ± 5.5 and 3.9 ± 4.5 yr of experience, respectively. AD, AFR, and ANG nurses had comparable years of experience: 5.8 ± 3.2, 8.3 ± 6.6, and 7.9 ± 4.2 yr, respectively; however, AD medical technicians had more years of experience (5.6 ± 4.4 yr) than AFR (3.1 ± 4.8 yr) and ANG (1.9 ± 2.8 yr) medical technicians. Both nurses and medical technicians reported infrequently caring for patients with various disease processes and managing equipment or devices that they will routinely encounter when transporting patients as an aeromedical evacuation clinician. Nurses and medical technicians preferred a kinesthetic learning style or a multimodal learning style that included kinesthetic learning. Nearly all (99%) nurses and 97% of medical technicians identified simulation as their preferred teaching method. These findings confirm faculty concerns regarding the clinical experience of flight nurse and aerospace evacuation technician students.De Jong MJ, Dukes SF, Dufour KM, Mortimer DL. Clinical experience and learning style of flight nurse and aeromedical evacuation technician students. Aerosp Med Hum Perform. 2017; 88(1):23-29.

  5. Polarimetric SAR image classification based on discriminative dictionary learning model

    Science.gov (United States)

    Sang, Cheng Wei; Sun, Hong

    2018-03-01

    Polarimetric SAR (PolSAR) image classification is one of the important applications of PolSAR remote sensing. It is a difficult high-dimension nonlinear mapping problem, the sparse representations based on learning overcomplete dictionary have shown great potential to solve such problem. The overcomplete dictionary plays an important role in PolSAR image classification, however for PolSAR image complex scenes, features shared by different classes will weaken the discrimination of learned dictionary, so as to degrade classification performance. In this paper, we propose a novel overcomplete dictionary learning model to enhance the discrimination of dictionary. The learned overcomplete dictionary by the proposed model is more discriminative and very suitable for PolSAR classification.

  6. A STUDY OF LEARNING STYLE PREFERENCES OF ALL FEMALE STUDENTS IN UNIVERSITY LEVEL (A Case Study in one of Islamic University in Bandung)

    OpenAIRE

    Siti Nuraeni Muhtar

    2015-01-01

    This research investigated students learning styles of all female students in University Level. The study involved 129 students in one of Islamic University in Bandung. The C.I.T.E Learning Styles Instrument by Joy Reid was used to identify 6 different kinds of Learning Styles. The research questions were as follows: (1) What are the learning styles  possessed by students?, (2) What are the dominant learning styles of Female Students in University Level?, and (3) How do those learning styles ...

  7. INVESTIGATING THE RELATIONSHIPS BETWEEN TEACHING STRATEGIES AND LEARNING STYLES IN HIGHER EDUCATION

    Directory of Open Access Journals (Sweden)

    Cristina Tulbure

    2012-04-01

    Full Text Available Within this paper, we are focusing on the relationships between teaching strategies, learning styles, and the students’ academic achievement in higher education. The main objective of this study is to compare three groups of pre-service teachers having different majors (i.e., Educational Sciences, Economic Sciences, and Foreign Languages in order to identify the potential differences in their academic achievement. More precisely, we attempt to highlight the categories of teaching strategies that lead to the best academic achievement for students having the same learning style, and different fields of study. A sample of 269 pre-service teachers from three faculties belonging to Transilvania University of Braşov participated in the study. The data was collected through a survey method and the one-way analysis of variance was used to determine the differences among the groups. Significant differences among the three categories of students with different majors occurred in relation with the most effective teaching strategies corresponding to each learning style category.

  8. Learning soil classification with the Kayapó indians

    Directory of Open Access Journals (Sweden)

    Cooper Miguel

    2005-01-01

    Full Text Available The Kayapó Xicrin do Cateté (Xicrin indigenous reserve is located within the Amazon forest in Pará (Brazil. The Xicrins have developed a soil classification system that is incorporated in their language and culture. The etymology of their classification system and its logical structure makes it similar and comparable with modern soil classification. The etymology of the Xicrin's language is based on the junction of radicals to form words for different soil names. The name of the soil is formed by the main noun radical "puka", to which adjectives referring to soil morphological attributes are added. Modern classification systems are also based on similar morphological variables, and analytical support for defining boundaries of chemical or physical soil attributes are important only in lower hierarchical levels. Soil scientists have developed a soil classification system that is sensitive for the restrictions and potentialities the soil will show for modern agriculture. The Xicrins classify soils for what is important for their life style, i.e. a harmonic and friendly life with the resources they gain from the forest.

  9. Integrating Learning Styles and Personality Traits into an Affective Model to Support Learner's Learning

    Science.gov (United States)

    Leontidis, Makis; Halatsis, Constantin

    The aim of this paper is to present a model in order to integrate the learning style and the personality traits of a learner into an enhanced Affective Style which is stored in the learner’s model. This model which can deal with the cognitive abilities as well as the affective preferences of the learner is called Learner Affective Model (LAM). The LAM is used to retain learner’s knowledge and activities during his interaction with a Web-based learning environment and also to provide him with the appropriate pedagogical guidance. The proposed model makes use of an ontological approach in combination with the Bayesian Network model and contributes to the efficient management of the LAM in an Affective Module.

  10. Algebraic Reasoning in Solving Mathematical Problem Based on Learning Style

    Science.gov (United States)

    Indraswari, N. F.; Budayasa, I. K.; Ekawati, R.

    2018-01-01

    This study aimed to describe algebraic reasoning of secondary school’s pupils with different learning styles in solving mathematical problem. This study begins by giving the questionnaire to find out the learning styles and followed by mathematical ability test to get three subjects of 8th-grade whereas the learning styles of each pupil is visual, auditory, kinesthetic and had similar mathematical abilities. Then it continued with given algebraic problems and interviews. The data is validated using triangulation of time. The result showed that in the pattern of seeking indicator, subjects identified the things that were known and asked based on them observations. The visual and kinesthetic learners represented the known information in a chart, whereas the auditory learner in a table. In addition, they found the elements which makes the pattern and made a relationship between two quantities. In the pattern recognition indicator, they created conjectures on the relationship between two quantities and proved it. In the generalization indicator, they were determining the general rule of pattern found on each element of pattern using algebraic symbols and created a mathematical model. Visual and kinesthetic learners determined the general rule of equations which was used to solve problems using algebraic symbols, but auditory learner in a sentence.

  11. A STUDY OF LEARNING STYLE PREFERENCES OF ALL FEMALE STUDENTS IN UNIVERSITY LEVEL (A Case Study in one of Islamic University in Bandung

    Directory of Open Access Journals (Sweden)

    Siti Nuraeni Muhtar

    2015-12-01

    Full Text Available This research investigated students learning styles of all female students in University Level. The study involved 129 students in one of Islamic University in Bandung. The C.I.T.E Learning Styles Instrument by Joy Reid was used to identify 6 different kinds of Learning Styles. The research questions were as follows: (1 What are the learning styles  possessed by students?, (2 What are the dominant learning styles of Female Students in University Level?, and (3 How do those learning styles influence students’ level of study?.The data percentages show that most of students in each class have visual learning style by the percentage (A:65,21%, B:73,17%, C:66,67%, D:73,91%. The second highest numbers also happens to Kinesthetic learning style  (A:69,56%, B:48,78%, C:59,532%, D:65,22% and Individual learning style (A:73,91%, B:43,90%, C:47,62%, D:69,56%. From those data, it can be concluded that more than a half female students in that university are visual, kinesthetic and auditory learners. Tactile learnes are only between 40-50 % of students. And the least percentage of students are auditory and group learners. Based on the result, the learning styles of every class are different. The phenomena shows that there are no special kinds of learning styles that can determine level of study.         Keywords: learning style, visual, kinesthetic, auditory,  tactile

  12. The development of a self-assessment learning style instrument for ...

    African Journals Online (AJOL)

    All individuals deserve to be taught in a way that best suits their needs. Education should be aimed at promoting learning. In order to do so, educators should incorporate diversity into their model of teaching by acknowledging student individuality, which is expressed in different learning styles. A qualitative study was done ...

  13. Style and Classification in the History of Art

    Directory of Open Access Journals (Sweden)

    Matthew Martin

    2011-12-01

    Full Text Available Review of: Robert Bagley, Max Loehr and the Study of Chinese Bronzes. Style and Classification in the History of Art, Ithaca, NY: Cornell East Asia Series, 2008. Robert Bagley’s monograph uses his mentor Max Loehr’s work on Shang period Chinese bronzes as the starting point for a critical examination of issues surrounding the art historical notion of ‘style’. Bagley critiques the tendency by much art history to the reification of ‘style’, an intellectual construction, and dismisses the idea that ‘style’ can somehow embody the characteristics of a ‘Zeitgeist’. Bagley argues for the independence of artistic and aesthetic concerns in explaining developments in the formal characteristics of objects of material culture, without the need to appeal to external forces such as literary sources or a symbolic system. We must take seriously, Bagley suggests, that visual effect, independent of other considerations, was a characteristic consciously pursued by artists of the past.

  14. Deep learning for EEG-Based preference classification

    Science.gov (United States)

    Teo, Jason; Hou, Chew Lin; Mountstephens, James

    2017-10-01

    Electroencephalogram (EEG)-based emotion classification is rapidly becoming one of the most intensely studied areas of brain-computer interfacing (BCI). The ability to passively identify yet accurately correlate brainwaves with our immediate emotions opens up truly meaningful and previously unattainable human-computer interactions such as in forensic neuroscience, rehabilitative medicine, affective entertainment and neuro-marketing. One particularly useful yet rarely explored areas of EEG-based emotion classification is preference recognition [1], which is simply the detection of like versus dislike. Within the limited investigations into preference classification, all reported studies were based on musically-induced stimuli except for a single study which used 2D images. The main objective of this study is to apply deep learning, which has been shown to produce state-of-the-art results in diverse hard problems such as in computer vision, natural language processing and audio recognition, to 3D object preference classification over a larger group of test subjects. A cohort of 16 users was shown 60 bracelet-like objects as rotating visual stimuli on a computer display while their preferences and EEGs were recorded. After training a variety of machine learning approaches which included deep neural networks, we then attempted to classify the users' preferences for the 3D visual stimuli based on their EEGs. Here, we show that that deep learning outperforms a variety of other machine learning classifiers for this EEG-based preference classification task particularly in a highly challenging dataset with large inter- and intra-subject variability.

  15. The effect of surgical resident learning style preferences on American Board of Surgery In-training Examination scores.

    Science.gov (United States)

    Kim, Roger H; Gilbert, Timothy; Ristig, Kyle

    2015-01-01

    There is a growing body of literature that suggests that learners assimilate information differently, depending on their preferred learning style. The VARK model categorizes learners as visual (V), aural (A), read/write (R), kinesthetic (K), or multimodal (MM). We hypothesized that resident VARK learning style preferences and American Board of Surgery In-Training Examination (ABSITE) performance are associated. The Fleming VARK learning styles inventory was administered to all general surgery residents at a university hospital-based program each year to determine their preferred learning style. Resident scores from the 2012 and 2013 ABSITE were examined to identify any correlation with learning style preferences. Over a 2-year period, residents completed 53 VARK inventory assessments. Most (51%) had a multimodal preference. Dominant aural and read/write learners had the lowest and highest mean ABSITE scores, respectively (p = 0.03). Residents with dominant read/write learning preferences perform better on the ABSITE than their peers did, whereas residents with dominant aural learning preferences underperform on the ABSITE. This may reflect an inherent and inadvertent bias of the examination against residents who prefer to learn via aural modalities. Copyright © 2015 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

  16. Group-Based Active Learning of Classification Models.

    Science.gov (United States)

    Luo, Zhipeng; Hauskrecht, Milos

    2017-05-01

    Learning of classification models from real-world data often requires additional human expert effort to annotate the data. However, this process can be rather costly and finding ways of reducing the human annotation effort is critical for this task. The objective of this paper is to develop and study new ways of providing human feedback for efficient learning of classification models by labeling groups of examples. Briefly, unlike traditional active learning methods that seek feedback on individual examples, we develop a new group-based active learning framework that solicits label information on groups of multiple examples. In order to describe groups in a user-friendly way, conjunctive patterns are used to compactly represent groups. Our empirical study on 12 UCI data sets demonstrates the advantages and superiority of our approach over both classic instance-based active learning work, as well as existing group-based active-learning methods.

  17. The role of critical thinking skills and learning styles of university students in their academic performance

    Directory of Open Access Journals (Sweden)

    ZOHRE GHAZIVAKILI

    2014-07-01

    Full Text Available Introduction: The current world needs people who have a lot of different abilities such as cognition and application of different ways of thinking, research, problem solving, critical thinking skills and creativity. In addition to critical thinking, learning styles is another key factor which has an essential role in the process of problem solving. This study aimed to determine the relationship between learning styles and critical thinking of students and their academic performance in Alborz University of Medical Sciences. Methods: This cross-correlation study was performed in 2012, on 216 students of Alborz University who were selected randomly by the stratified method. The data was obtained via a three-part questionnaire included demographic data, Kolb standardized questionnaire of learning style and California critical thinking standardized questionnaire. The academic performance of the students was extracted by the school records. The validity of the instruments was determined in terms of content validity, and the reliability was gained through internal consistency methods. Cronbach's alpha coefficient was found to be 0.78 for the California critical thinking questionnaire. The Chi Square test, Independent T-test, one way ANOVA and Pearson Correlation test were used to determine relationship between variables. The Package SPSS14 statistical software was used to analyze data with a significant level of p<0.05. Results: Our findings indicated the significant difference of mean score in four learning style, suggesting university students with convergent learning style have better performance than other groups. Also learning style had a relationship with age, gender, field of study, semester and job. The results about the critical thinking of the students showed that the mean of deductive reasoning and evaluation skills were higher than that of other skills and analytical skills had the lowest mean and there was a positive significant

  18. Effect of Type of Curriculum on Educational Outcomes and Motivation among Marketing Students with Different Learning Styles

    Science.gov (United States)

    Ackerman, David S.; Hu, Jing

    2011-01-01

    Using an active learning approach to motivate students to learn has been advocated by many educators. It has been an ongoing discussion on whether marketing educators should customize their teaching activities based on the learning styles found in their classes recently. This study uses a scale of learning styles that includes a measure of the…

  19. Utilizing Mobile Devices to Enrich the Learning Style of Students

    Science.gov (United States)

    McGovern, Enda F.; Luna-Nevarez, Cuauhtemoc; Baruca, Arne

    2017-01-01

    As digital technologies evolve in education, business faculty have increased access to an extensive range of mobile devices and online applications to help them inspire students' passion for learning. Adopting new digital approaches to teaching can also enhance the learning style of students who are immersed in the use of digital devices. How can…

  20. Effect of Motivational Scaffolding on E-Learning Environments: Self-Efficacy, Learning Achievement, and Cognitive Style

    Science.gov (United States)

    Valencia-Vallejo, Nilson; López-Vargas, Omar; Sanabria-Rodríguez, Luis

    2018-01-01

    The present research studies the effects of motivational scaffolding that favor self-efficacy and improve learning achievement in students with different cognitive styles in the Field Dependence/Independence (FDI) dimension, when they interact in an e-learning environment on mathematics. The research has an experimental design with two groups and…

  1. Learning Styles Preferences of Statistics Students: A Study in the Faculty of Business and Economics at the UAE University

    Science.gov (United States)

    Yousef, Darwish Abdulrahman

    2016-01-01

    Purpose: Although there are many studies addressing the learning styles of business students as well as students of other disciplines, there are few studies which address the learning style preferences of statistics students. The purpose of this study is to explore the learning style preferences of statistics students at a United Arab Emirates…

  2. Using VARK Approach for Assessing Preferred Learning Styles of First Year Medical Sciences Students: A Survey from Iran

    OpenAIRE

    Peyman, Hadi; Sadeghifar, Jamil; Khajavikhan, Javaher; Yasemi, Masood; Rasool, Mohammad; Yaghoubi, Yasemi Monireh; Nahal, Monireh Mohammad Hassan; Karim, Hemati

    2014-01-01

    Background: Preferred learning styles of learners are different, which depend on tastes, mentality preparedness, as well as physical condition, in terms of sensory modalities. Identifying and employing appropriate learning styles could play an important role in selecting teaching styles, which can improve education ultimately.

  3. Learning Styles versus the Rip Van Winkle Syndrome.

    Science.gov (United States)

    Orsak, Lana

    1990-01-01

    Rip Van Winkle would not recognize Corsicana (Texas) High School since its curriculum coordinator began implementing learning styles techniques in various pilot programs. Lecturing to rows of bored students has been replaced by students' active involvement in group activities, listening centers, and tactile/kinesthetic exercises on the floor or at…

  4. Leadership Styles of Lecturer's Technical and Vocational in Teaching and Learning

    Science.gov (United States)

    Razak, Nur Afifah Binti Abdul; Jaafar, Siti Norain Bt; Hamidon, Nur Izeanty Binti; Zakaria, Normah Binti

    2015-01-01

    Leadership style is a way of using the power of a leader held as a tool to influence the students and to achieve the objectives in the classroom and affect the election approaches in teaching and learning process. The purpose of this research is to study the style of lecturer's leadership in UTHM Technical and Vocational (TVeT). The study focuses…

  5. Learning Styles: The Experience of the Medical School at the University of Nuevo León, Mexico

    Directory of Open Access Journals (Sweden)

    Pedro César Cantú-Martínez

    2018-01-01

    Full Text Available This article aims to clarify the learning style of students in the Medical School at the Autonomous University of Nuevo Leon (Mexico. In this research participated 333 students, men and women. They responded to a Honey-Alonso questionnaire to determine their learning styles. The results showed that the participants tend to possess a reflective and pragmatic learning style, which is consistent with the orientation of their professional preparation, and with other similar studies.

  6. The Effect of Manipulatives on Mathematics Achievement across Different Learning Styles

    Science.gov (United States)

    Kablan, Zeynel

    2016-01-01

    The current study investigates the influence of manipulatives used in combination with traditional approaches to mathematics education and how varying amounts of time spent on manipulative use influence student achievement across different learning styles. Three learning environments were created that incorporated varying proportions of…

  7. Deep Multi-Task Learning for Tree Genera Classification

    Science.gov (United States)

    Ko, C.; Kang, J.; Sohn, G.

    2018-05-01

    The goal for our paper is to classify tree genera using airborne Light Detection and Ranging (LiDAR) data with Convolution Neural Network (CNN) - Multi-task Network (MTN) implementation. Unlike Single-task Network (STN) where only one task is assigned to the learning outcome, MTN is a deep learning architect for learning a main task (classification of tree genera) with other tasks (in our study, classification of coniferous and deciduous) simultaneously, with shared classification features. The main contribution of this paper is to improve classification accuracy from CNN-STN to CNN-MTN. This is achieved by introducing a concurrence loss (Lcd) to the designed MTN. This term regulates the overall network performance by minimizing the inconsistencies between the two tasks. Results show that we can increase the classification accuracy from 88.7 % to 91.0 % (from STN to MTN). The second goal of this paper is to solve the problem of small training sample size by multiple-view data generation. The motivation of this goal is to address one of the most common problems in implementing deep learning architecture, the insufficient number of training data. We address this problem by simulating training dataset with multiple-view approach. The promising results from this paper are providing a basis for classifying a larger number of dataset and number of classes in the future.

  8. Taiwanese Elementary Students' Creativity, Creative Personality, and Learning Styles: An Exploratory Study

    Science.gov (United States)

    Tsai, Kuan Chen

    2014-01-01

    In the field of education, creativity has been viewed as an important ability for children's development. The recognition of different learning styles is also important for both teachers and learners. Although a handful of studies have examined the relationship between creativity and personality, or between creativity and cognitive style, few have…

  9. Representation learning with deep extreme learning machines for efficient image set classification

    KAUST Repository

    Uzair, Muhammad

    2016-12-09

    Efficient and accurate representation of a collection of images, that belong to the same class, is a major research challenge for practical image set classification. Existing methods either make prior assumptions about the data structure, or perform heavy computations to learn structure from the data itself. In this paper, we propose an efficient image set representation that does not make any prior assumptions about the structure of the underlying data. We learn the nonlinear structure of image sets with deep extreme learning machines that are very efficient and generalize well even on a limited number of training samples. Extensive experiments on a broad range of public datasets for image set classification show that the proposed algorithm consistently outperforms state-of-the-art image set classification methods both in terms of speed and accuracy.

  10. Representation learning with deep extreme learning machines for efficient image set classification

    KAUST Repository

    Uzair, Muhammad; Shafait, Faisal; Ghanem, Bernard; Mian, Ajmal

    2016-01-01

    Efficient and accurate representation of a collection of images, that belong to the same class, is a major research challenge for practical image set classification. Existing methods either make prior assumptions about the data structure, or perform heavy computations to learn structure from the data itself. In this paper, we propose an efficient image set representation that does not make any prior assumptions about the structure of the underlying data. We learn the nonlinear structure of image sets with deep extreme learning machines that are very efficient and generalize well even on a limited number of training samples. Extensive experiments on a broad range of public datasets for image set classification show that the proposed algorithm consistently outperforms state-of-the-art image set classification methods both in terms of speed and accuracy.

  11. The role of critical thinking skills and learning styles of university students in their academic performance.

    Science.gov (United States)

    Ghazivakili, Zohre; Norouzi Nia, Roohangiz; Panahi, Faride; Karimi, Mehrdad; Gholsorkhi, Hayede; Ahmadi, Zarrin

    2014-07-01

    The Current world needs people who have a lot of different abilities such as cognition and application of different ways of thinking, research, problem solving, critical thinking skills and creativity. In addition to critical thinking, learning styles is another key factor which has an essential role in the process of problem solving. This study aimed to determine the relationship between learning styles and critical thinking of students and their academic performance in Alborz University of Medical Science. This cross-correlation study was performed in 2012, on 216 students of Alborz University who were selected randomly by the stratified random sampling. The data was obtained via a three-part questionnaire included demographic data, Kolb standardized questionnaire of learning style and California critical thinking standardized questionnaire. The academic performance of the students was extracted by the school records. The validity of the instruments was determined in terms of content validity, and the reliability was gained through internal consistency methods. Cronbach's alpha coefficient was found to be 0.78 for the California critical thinking questionnaire. The Chi Square test, Independent t-test, one way ANOVA and Pearson correlation test were used to determine relationship between variables. The Package SPSS14 statistical software was used to analyze data with a significant level of pstudents with convergent learning style have better performance than other groups. Also learning style had a relationship with age, gender, field of study, semester and job. The results about the critical thinking of the students showed that the mean of deductive reasoning and evaluation skills were higher than that of other skills and analytical skills had the lowest mean and there was a positive significant relationship between the students' performance with inferential skill and the total score of critical thinking skills (pskills and deductive reasoning had significant

  12. PHOTOMETRIC SUPERNOVA CLASSIFICATION WITH MACHINE LEARNING

    Energy Technology Data Exchange (ETDEWEB)

    Lochner, Michelle; Peiris, Hiranya V.; Lahav, Ofer; Winter, Max K. [Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT (United Kingdom); McEwen, Jason D., E-mail: dr.michelle.lochner@gmail.com [Mullard Space Science Laboratory, University College London, Surrey RH5 6NT (United Kingdom)

    2016-08-01

    Automated photometric supernova classification has become an active area of research in recent years in light of current and upcoming imaging surveys such as the Dark Energy Survey (DES) and the Large Synoptic Survey Telescope, given that spectroscopic confirmation of type for all supernovae discovered will be impossible. Here, we develop a multi-faceted classification pipeline, combining existing and new approaches. Our pipeline consists of two stages: extracting descriptive features from the light curves and classification using a machine learning algorithm. Our feature extraction methods vary from model-dependent techniques, namely SALT2 fits, to more independent techniques that fit parametric models to curves, to a completely model-independent wavelet approach. We cover a range of representative machine learning algorithms, including naive Bayes, k -nearest neighbors, support vector machines, artificial neural networks, and boosted decision trees (BDTs). We test the pipeline on simulated multi-band DES light curves from the Supernova Photometric Classification Challenge. Using the commonly used area under the curve (AUC) of the Receiver Operating Characteristic as a metric, we find that the SALT2 fits and the wavelet approach, with the BDTs algorithm, each achieve an AUC of 0.98, where 1 represents perfect classification. We find that a representative training set is essential for good classification, whatever the feature set or algorithm, with implications for spectroscopic follow-up. Importantly, we find that by using either the SALT2 or the wavelet feature sets with a BDT algorithm, accurate classification is possible purely from light curve data, without the need for any redshift information.

  13. PHOTOMETRIC SUPERNOVA CLASSIFICATION WITH MACHINE LEARNING

    International Nuclear Information System (INIS)

    Lochner, Michelle; Peiris, Hiranya V.; Lahav, Ofer; Winter, Max K.; McEwen, Jason D.

    2016-01-01

    Automated photometric supernova classification has become an active area of research in recent years in light of current and upcoming imaging surveys such as the Dark Energy Survey (DES) and the Large Synoptic Survey Telescope, given that spectroscopic confirmation of type for all supernovae discovered will be impossible. Here, we develop a multi-faceted classification pipeline, combining existing and new approaches. Our pipeline consists of two stages: extracting descriptive features from the light curves and classification using a machine learning algorithm. Our feature extraction methods vary from model-dependent techniques, namely SALT2 fits, to more independent techniques that fit parametric models to curves, to a completely model-independent wavelet approach. We cover a range of representative machine learning algorithms, including naive Bayes, k -nearest neighbors, support vector machines, artificial neural networks, and boosted decision trees (BDTs). We test the pipeline on simulated multi-band DES light curves from the Supernova Photometric Classification Challenge. Using the commonly used area under the curve (AUC) of the Receiver Operating Characteristic as a metric, we find that the SALT2 fits and the wavelet approach, with the BDTs algorithm, each achieve an AUC of 0.98, where 1 represents perfect classification. We find that a representative training set is essential for good classification, whatever the feature set or algorithm, with implications for spectroscopic follow-up. Importantly, we find that by using either the SALT2 or the wavelet feature sets with a BDT algorithm, accurate classification is possible purely from light curve data, without the need for any redshift information.

  14. Voice based gender classification using machine learning

    Science.gov (United States)

    Raahul, A.; Sapthagiri, R.; Pankaj, K.; Vijayarajan, V.

    2017-11-01

    Gender identification is one of the major problem speech analysis today. Tracing the gender from acoustic data i.e., pitch, median, frequency etc. Machine learning gives promising results for classification problem in all the research domains. There are several performance metrics to evaluate algorithms of an area. Our Comparative model algorithm for evaluating 5 different machine learning algorithms based on eight different metrics in gender classification from acoustic data. Agenda is to identify gender, with five different algorithms: Linear Discriminant Analysis (LDA), K-Nearest Neighbour (KNN), Classification and Regression Trees (CART), Random Forest (RF), and Support Vector Machine (SVM) on basis of eight different metrics. The main parameter in evaluating any algorithms is its performance. Misclassification rate must be less in classification problems, which says that the accuracy rate must be high. Location and gender of the person have become very crucial in economic markets in the form of AdSense. Here with this comparative model algorithm, we are trying to assess the different ML algorithms and find the best fit for gender classification of acoustic data.

  15. Augmented Reality, Virtual Reality and Their Effect on Learning Style in the Creative Design Process

    Science.gov (United States)

    Chandrasekera, Tilanka; Yoon, So-Yeon

    2018-01-01

    Research has shown that user characteristics such as preference for using an interface can result in effective use of the interface. Research has also suggested that there is a relationship between learner preference and creativity. This study uses the VARK learning styles inventory to assess students learning style then explores how this learning…

  16. Turkish Pre-Service Physics Teachers' Preferred Learning Styles

    Science.gov (United States)

    Kandil Ingec, Sebnem

    2015-01-01

    This study aims to determine the dominant learning styles of pre-service physics teachers and to examine them in terms of variables such as gender, information and communication technologies skills, academic achievement and type of motivation. Survey model was used. The sample composed of 50 pre-service physics teachers. The data were collected…

  17. Learning style preferences of Australian accelerated postgraduate pre-registration nursing students: A cross-sectional survey.

    Science.gov (United States)

    McKenna, Lisa; Copnell, Beverley; Butler, Ashleigh E; Lau, Rosalind

    2018-01-01

    Graduate entry programs leading to registration are gaining momentum in nursing. These programs attract student cohorts with professional, cultural, gender and age diversity. As a consequence of this diversity, such accelerated programs challenge traditional pedagogical methods used in nursing and require different approaches. To date, however, there has been limited research on the learning styles of students undertaking these programs to inform academics involved in their delivery. Kolb's Experiential Learning model has been used widely in a variety of educational settings because it is based on the theory of experiential learning. More recently VARK (Visual, Aural, Read/write and Kinaesthetic) model has become popular. The aim of this study was to investigate the learning styles of two cohorts of graduate entry nursing students undertaking an accelerated masters-level program. This was a cross-sectional survey of two cohorts of Master of Nursing Practice students enrolled at a large Australian university. The students were more inclined toward converging (practical) and least toward concrete experience (experiencing) learning styles. The majority of students were more inclined toward kinaesthetic and least toward aural learning style. Findings have implications for academics engaged in teaching graduate entry nursing students. Copyright © 2017. Published by Elsevier Ltd.

  18. Transfer Learning beyond Text Classification

    Science.gov (United States)

    Yang, Qiang

    Transfer learning is a new machine learning and data mining framework that allows the training and test data to come from different distributions or feature spaces. We can find many novel applications of machine learning and data mining where transfer learning is necessary. While much has been done in transfer learning in text classification and reinforcement learning, there has been a lack of documented success stories of novel applications of transfer learning in other areas. In this invited article, I will argue that transfer learning is in fact quite ubiquitous in many real world applications. In this article, I will illustrate this point through an overview of a broad spectrum of applications of transfer learning that range from collaborative filtering to sensor based location estimation and logical action model learning for AI planning. I will also discuss some potential future directions of transfer learning.

  19. PROCESS-BASED LEARNING: TOWARDS THEORETICAL AND LECTURE-BASED COURSEWORK IN STUDIO STYLE

    Directory of Open Access Journals (Sweden)

    Hatem Ezzat Nabih

    2010-07-01

    Full Text Available This article presents a process-based learning approach to design education where theoretical coursework is taught in studio-style. Lecture-based coursework is sometimes regarded as lacking in challenge and broadening the gap between theory and practice. Furthermore, lecture-based curricula tend to be detached from the studio and deny students from applying their theoretically gained knowledge. Following the belief that student motivation is increased by establishing a higher level of autonomy in the learning process, I argue for a design education that links theory with applied design work within the studio setting. By synthesizing principles of Constructivist Learning and Problem-Based Learning, PBL students are given greater autonomy by being actively involved in their education. Accordingly, I argue for a studio setting that incorporates learning in studio style by presenting three design applications involving students in investigation and experimentation in order to self-experience the design process.

  20. Do general practitioners' risk-taking propensities and learning styles influence their continuing medical education preferences?

    Science.gov (United States)

    Robinson, Geoffrey

    2002-01-01

    US studies have shown that a clinician's risk-taking propensity significantly predicts clinical behaviour. Other US studies examining relationships between family practice doctors' preferences for CME and their Kolb learning style have described conflicting findings. The aim of the present study was to investigate GPs' learning styles, risk-taking propensities and CME preferences, and to explore links between them. A descriptive confidential cross-sectional postal questionnaire survey of the 304 general practitioner principals within Portsmouth and South East Hampshire Health Authority was conducted. Two hundred and seventy-four GPs returned questionnaires, a response rate of 90.1%. The Kolb learning style types were assimilators 43.8% (predominant learning abilities watching and thinking), divergers 21.1% (feeling and watching), convergers 18.3% (doing and thinking), and accommodators 16.8% (doing and feeling). The Pearson risk-taking propensities were 65.8% risk neutral, 19.4% risk seeking and 14.8% risk averse. Risk-seeking GPs were significantly more likely to be accommodators or convergers than divergers or assimilators (p = 0.006). Majorities of 54.9% stated that the present PGEA system works well, 85% welcomed feedback from their peers, and 76.8% stated that learning should be an activity for all the practice team. Further majorities would welcome help to decide their learning needs (63.8%) and are looking to judge CME effectiveness by changes in GP performance or patient care (54.8%). Further significant correlations and cross-tabulations were found between learning style and risk-taking and CME attitudes, experiences and preferences. It is concluded that risk seekers and accommodators (doing and feeling) prefer feedback, interaction and practical hands-on learning, and assimilators (watching and thinking) and the risk averse tend towards lectures, theoretical learning formats and less interactive activities. Sharing feelings in groups may be difficult for

  1. The relationship between learning style preferences and gender, educational major and status in first year medical students: a survey study from iran.

    Science.gov (United States)

    Sarabi-Asiabar, Ali; Jafari, Mehdi; Sadeghifar, Jamil; Tofighi, Shahram; Zaboli, Rouhollah; Peyman, Hadi; Salimi, Mohammad; Shams, Lida

    2015-01-01

    Identifying and employing appropriate learning styles could play an important role in selecting teaching styles in order to improve education. This study aimed to determine the relationship between learning styles preferences and gender, educational major and status in first year students at Isfahan University of Medical Sciences. A cross-sectional study employing the visual-aural-read/write-kinesthetic (VARK) learning style's questionnaire was done on 184 first year students of medicine, pharmacy, dentistry, nursing and health services management at Isfahan University of Medical Sciences in 2012. The validity of the questionnaire was assessed through experts' views and reliability was calculated using Cronbach's alpha coefficients (α = 0.86). Data were analyzed using the SPSS ver.18 software and x(2) test. Out of 184 participants who responded to and returned the questionnaire, 122 (66.3%) were female; more than two-thirds (68.5%) of the enrolled students were at the professional doctorate level (medicine, pharmacy, dentistry) and 31.5% at the undergraduate level (nursing and health services management). Eighty-nine (48.4%) students preferred a single-modal learning style. In contrast, the remaining 95 students (51.6%) preferred multi-modal learning styles. A significant relationship between gender and single modal learning styles (P = 0.009) and between status and learning styles (P = 0.04) was observed. According to the results, male students preferred to use the kinesthetic learning style more than females, while, female students preferred the aural learning style. Knowledge about the learning styles of students at educational institutes is valuable and helps solve learning problems among students, and allows students to become better learners.

  2. Does individual learning styles influence the choice to use a web-based ECG learning programme in a blended learning setting?

    OpenAIRE

    Nilsson, Mikael; ?stergren, Jan; Fors, Uno; Rickenlund, Anette; Jorfeldt, Lennart; Caidahl, Kenneth; Bolinder, Gunilla

    2012-01-01

    Abstract Background The compressed curriculum in modern knowledge-intensive medicine demands useful tools to achieve approved learning aims in a limited space of time. Web-based learning can be used in different ways to enhance learning. Little is however known regarding its optimal utilisation. Our aim was to investigate if the individual learning styles of medical students influence the choice to use a web-based ECG learning programme in a blended learning setting. Methods The programme, wi...

  3. Association of learning styles with research self-efficacy: study of short-term research training program for medical students.

    Science.gov (United States)

    Dumbauld, Jill; Black, Michelle; Depp, Colin A; Daly, Rebecca; Curran, Maureen A; Winegarden, Babbi; Jeste, Dilip V

    2014-12-01

    With a growing need for developing future physician scientists, identifying characteristics of medical students who are likely to benefit from research training programs is important. This study assessed if specific learning styles of medical students, participating in federally funded short-term research training programs, were associated with research self-efficacy, a potential predictor of research career success. Seventy-five first-year medical students from 28 medical schools, selected to participate in two competitive NIH-supported summer programs for research training in aging, completed rating scales to evaluate learning styles at baseline, and research self-efficacy before and after training. We examined associations of individual learning styles (visual-verbal, sequential-global, sensing-intuitive, and active-reflective) with students' gender, ranking of medical school, and research self-efficacy. Research self-efficacy improved significantly following the training programs. Students with a verbal learning style reported significantly greater research self-efficacy at baseline, while visual, sequential, and intuitive learners demonstrated significantly greater increases in research self-efficacy from baseline to posttraining. No significant relationships were found between learning styles and students' gender or ranking of their medical school. Assessments of learning styles may provide useful information to guide future training endeavors aimed at developing the next generation of physician-scientists. © 2014 Wiley Periodicals, Inc.

  4. A Weighted Block Dictionary Learning Algorithm for Classification

    OpenAIRE

    Shi, Zhongrong

    2016-01-01

    Discriminative dictionary learning, playing a critical role in sparse representation based classification, has led to state-of-the-art classification results. Among the existing discriminative dictionary learning methods, two different approaches, shared dictionary and class-specific dictionary, which associate each dictionary atom to all classes or a single class, have been studied. The shared dictionary is a compact method but with lack of discriminative information; the class-specific dict...

  5. The development and validation of the On-the-job Learning Styles Questionnaire for the Nursing Profession.

    Science.gov (United States)

    Berings, Marjolein G M C; Poell, Rob F; Simons, P Robert-Jan; van Veldhoven, Marc J P M

    2007-06-01

    This paper is a report of a study to develop and test the psychometric properties of the On-the-job Learning Style Questionnaire for the Nursing Profession. Although numerous questionnaires measuring learning styles have been developed, none are suitable for working environments. Existing instruments do not meet the requirements for use in workplace settings and tend to ignore the influence of different learning situations. The questionnaire was constructed using a situation-response design, measuring learning activities in different on-the-job learning situations. Content validity was ensured by basing the questionnaire on interview studies. The questionnaire was distributed to 912 Registered Nurses working in different departments of 13 general hospitals in the Netherlands at the end of 2005. The response rate was 41% (372 questionnaires). The internal factor structure of the questionnaire was partly based on the learning activities in which nurses participate and partly on the learning situation in which they are performed. The internal consistency was good. The situation-response design of the questionnaire demonstrated its added value. Construct validity was estimated using intercorrelations between the scales, and criterion validity was estimated based on the relationships of the scales with perceived professional competence. The On-the-job Learning Styles Questionnaire for the Nursing Profession is well suited to describing nurses' learning styles in on-the-job settings and has satisfactory psychometric properties.

  6. Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments

    Science.gov (United States)

    Han, Wenjing; Coutinho, Eduardo; Li, Haifeng; Schuller, Björn; Yu, Xiaojie; Zhu, Xuan

    2016-01-01

    Coping with scarcity of labeled data is a common problem in sound classification tasks. Approaches for classifying sounds are commonly based on supervised learning algorithms, which require labeled data which is often scarce and leads to models that do not generalize well. In this paper, we make an efficient combination of confidence-based Active Learning and Self-Training with the aim of minimizing the need for human annotation for sound classification model training. The proposed method pre-processes the instances that are ready for labeling by calculating their classifier confidence scores, and then delivers the candidates with lower scores to human annotators, and those with high scores are automatically labeled by the machine. We demonstrate the feasibility and efficacy of this method in two practical scenarios: pool-based and stream-based processing. Extensive experimental results indicate that our approach requires significantly less labeled instances to reach the same performance in both scenarios compared to Passive Learning, Active Learning and Self-Training. A reduction of 52.2% in human labeled instances is achieved in both of the pool-based and stream-based scenarios on a sound classification task considering 16,930 sound instances. PMID:27627768

  7. Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments.

    Science.gov (United States)

    Han, Wenjing; Coutinho, Eduardo; Ruan, Huabin; Li, Haifeng; Schuller, Björn; Yu, Xiaojie; Zhu, Xuan

    2016-01-01

    Coping with scarcity of labeled data is a common problem in sound classification tasks. Approaches for classifying sounds are commonly based on supervised learning algorithms, which require labeled data which is often scarce and leads to models that do not generalize well. In this paper, we make an efficient combination of confidence-based Active Learning and Self-Training with the aim of minimizing the need for human annotation for sound classification model training. The proposed method pre-processes the instances that are ready for labeling by calculating their classifier confidence scores, and then delivers the candidates with lower scores to human annotators, and those with high scores are automatically labeled by the machine. We demonstrate the feasibility and efficacy of this method in two practical scenarios: pool-based and stream-based processing. Extensive experimental results indicate that our approach requires significantly less labeled instances to reach the same performance in both scenarios compared to Passive Learning, Active Learning and Self-Training. A reduction of 52.2% in human labeled instances is achieved in both of the pool-based and stream-based scenarios on a sound classification task considering 16,930 sound instances.

  8. An Exploratory Study of the Language-Learning Style Preferences of Iranian EFL High School Students

    Science.gov (United States)

    Ramezani, Afsaneh Effatdokht; Dehgahi, Meysam; Hashemi, Hanie

    2015-01-01

    This study explored the learning style preferences of 40 Iranian students at Marefat Iranian high school in Kuala Lumpur of which, 20 are females and 20 are males. To this end, this study used structured interview to elicit in-depth information from the students. The results of the study showed that learning style preferences of Iranian students…

  9. Field of Study, Learning Styles, and Language Learning Strategies of University Students: Are There Any Relations?

    Science.gov (United States)

    Sahragard, Rahman; Khajavi, Yaser; Abbasian, Reza

    2016-01-01

    The present study aimed to investigate the possible relationships between field of study, learning style preferences, and language learning strategies among university students majoring in the fields of arts and humanities, science, engineering, social sciences, and English as a foreign language. To this end, 376 university students completed the…

  10. Learning Style as a Predictor of First-Time NCLEX-RN Success: Implications for Nurse Educators.

    Science.gov (United States)

    Lown, Susan G; Hawkins, Lee Ann

    Improving NCLEX-RN® pass rates remains a priority for nursing programs. Many programs collect learning style inventory data, yet few studies have looked at relationships between these data and NCLEX-RN pass/fail rates. Learning style preferences (visual, auditory, tactile, individual, group) and NCLEX pass/fail results were examined for 532 undergraduates in a Midwestern university. A significant correlation between preference for group learning and failure of the NCLEX was found (χ = 5.99, P = .05).

  11. Assessing Learning Styles of Graduate Entry Nursing Students as a Classroom Research Activity: A quantitative research study.

    Science.gov (United States)

    Gonzales, Lucia K; Glaser, Dale; Howland, Lois; Clark, Mary Jo; Hutchins, Susie; Macauley, Karen; Close, Jacqueline F; Leveque, Noelle Lipkin; Failla, Kim Reina; Brooks, Raelene; Ward, Jillian

    2017-01-01

    A number of studies across different disciplines have investigated students' learning styles. Differences are known to exist between graduate and baccalaureate nursing students. However, few studies have investigated the learning styles of students in graduate entry nursing programs. . Study objective was to describe graduate entry nursing students' learning styles. A descriptive design was used for this study. The Index of Learning Styles (ILS) was administered to 202 graduate entry nursing student volunteers at a southwestern university. Descriptive statistics, tests of association, reliability, and validity were performed. Graduate nursing students and faculty participated in data collection, analysis, and dissemination of the results. Predominant learning styles were: sensing - 82.7%, visual - 78.7%, sequential - 65.8%, and active - 59.9%. Inter-item reliabilities for the postulated subscales were: sensing/intuitive (α=0.70), visual/verbal (α=0.694), sequential/global (α=0.599), and active/reflective (α=0.572). Confirmatory factor analysis for results of validity were: χ 2 (896)=1110.25, pnursing students. This study provided faculty with numerous opportunities for actively engaging students in data collection, analysis, and dissemination of results. Copyright © 2016 Elsevier Ltd. All rights reserved.

  12. Generation Y students: Appropriate learning styles and teaching ...

    African Journals Online (AJOL)

    Generation Y students (born after 1982) have developed a different set of attitudes and aptitudes as a result of growing up in an IT and media-rich environment. This article has two objectives: firstly to discuss the learning styles preferred by generation Y students in order to identify the effect of these preferences on tertiary ...

  13. The Relationship between Writing Anxiety and Learning Styles among Graduate Students.

    Science.gov (United States)

    Onwuegbuzie, Anthony J.

    1998-01-01

    Examines the relationship between learning styles and writing anxiety with female (n=72) and male (n=18) graduate students. Findings reveal that students with the highest levels of writing anxiety tended to be those who prefer to learn in warm environments, lacked self-motivation, liked structure, were peer-oriented learners, were…

  14. The Influence of Cognitive Learning Style and Learning Independence on the Students' Learning Outcomes

    Science.gov (United States)

    Prayekti

    2018-01-01

    Students of Open University are strongly required to be able to study independently. They rely heavily on the cognitive learning styles that they have in attempt to get maximum scores in every final exam. The participants of this research were students in the Physics Education program taking Thermodynamic subject course. The research analysis…

  15. Classification of Learning Styles in Virtual Learning Environment Using J48 Decision Tree

    Science.gov (United States)

    Maaliw, Renato R. III; Ballera, Melvin A.

    2017-01-01

    The usage of data mining has dramatically increased over the past few years and the education sector is leveraging this field in order to analyze and gain intuitive knowledge in terms of the vast accumulated data within its confines. The primary objective of this study is to compare the results of different classification techniques such as Naïve…

  16. Analisa Pengaruh Leadership Style terhadap Firm Performance melalui Learning Organization dan Employee Satisfaction pada Perusahaan Sektor Manufaktur di Surabaya

    OpenAIRE

    Yulia, Yemima

    2015-01-01

    This study aimed to examine the direct and significant affect of leadership style to learning organization, leadership style to employee's satisfaction, learning organization to firm's performance, employee's satisfaction to firm's performance, leadership style to firm's performance, and learning organization to employee's satisfaction on manufacturing companies in Surabaya. This study used quantitative approach and the data were obtained through the distribution of questionnaire to manufactu...

  17. Estilos de aprendizaje en los estudiantes de enfermería Learning styles in nursing students

    Directory of Open Access Journals (Sweden)

    Mª del Coro Canalejas Pérez

    2005-06-01

    Full Text Available Introducción: El objetivo de este trabajo es identificar el estilo de aprendizaje predominante en los estudiantes de enfermería de nuestro centro, como punto de partida para una reflexión sobre el proceso de aprendizaje-enseñanza que estamos llevando a cabo. Material y métodos: Se realizó un estudio observacional, exploratorio y transversal en la Escuela de Enfermería La Paz durante el curso académico 2002-03 con una muestra de 180 estudiantes. Las variables seleccionadas fueron: estilo de aprendizaje, curso en el que estaban matriculados, vía de acceso a los estudios y experiencia laboral. El instrumento que se utilizó fue el cuestionario de estilos de aprendizaje Honey-Alonso (CHAEA. El análisis de los datos consistió en el contraste de las diferencias entre las puntuaciones obtenidas en los cuatro estilos de aprendizaje, mediante la prueba ANOVA y el test de Kruskal-Wallis. Resultados: Se encontraron diferencias estadísticamente significativas en los estilos de aprendizaje reflexivo y teórico, en función del año de carrera que estaban cursando. No se encontraron diferencias estadísticamente significativas entre los cursos para los estilos de aprendizaje activo y pragmático. Discusión: El perfil de aprendizaje de los estudiantes de nuestro centro es diferente entre los alumnos de los tres cursos, existiendo una tendencia hacia un estilo más reflexivo y teórico, a medida que avanzan en su formación. Es necesario buscar alternativas para potenciar el desarrollo de los estilos activo y pragmático en la misma medida que los estilos reflexivo y teóricoIntroduction: This paper aims to identify the prevalent learning style among nursing students at our teaching institution, as a starting point for an analysis of the current learning-teaching process. Methods and materials: An observational, exploratory and cross-sectional study was performed in the Nursing School of La Paz (Universidad Autónoma de Madrid, during the academic

  18. Advanced Steel Microstructural Classification by Deep Learning Methods.

    Science.gov (United States)

    Azimi, Seyed Majid; Britz, Dominik; Engstler, Michael; Fritz, Mario; Mücklich, Frank

    2018-02-01

    The inner structure of a material is called microstructure. It stores the genesis of a material and determines all its physical and chemical properties. While microstructural characterization is widely spread and well known, the microstructural classification is mostly done manually by human experts, which gives rise to uncertainties due to subjectivity. Since the microstructure could be a combination of different phases or constituents with complex substructures its automatic classification is very challenging and only a few prior studies exist. Prior works focused on designed and engineered features by experts and classified microstructures separately from the feature extraction step. Recently, Deep Learning methods have shown strong performance in vision applications by learning the features from data together with the classification step. In this work, we propose a Deep Learning method for microstructural classification in the examples of certain microstructural constituents of low carbon steel. This novel method employs pixel-wise segmentation via Fully Convolutional Neural Network (FCNN) accompanied by a max-voting scheme. Our system achieves 93.94% classification accuracy, drastically outperforming the state-of-the-art method of 48.89% accuracy. Beyond the strong performance of our method, this line of research offers a more robust and first of all objective way for the difficult task of steel quality appreciation.

  19. The relationship between students' perceptual learning style preferences, language learning strategies and English language vocabulary size

    OpenAIRE

    Gorevanova, Anna

    2000-01-01

    Ankara : The Institute of Economic and Social Sciences Bilkent Univ., 2000. Thesis (Master's) -- Bilkent University, 2000. Includes bibliographical references leaves 54-58 This study investigated the relationship between students’ perceptual learning style preferences, language learning strategies and English language vocabulary size. It is very important for teachers to be aware of students’ preferences in learning to help them be more successful and to avoid conflicts when...

  20. An Investigation of the Relationship between Language Learning Strategies and Learning Styles in Turkish Freshman Students

    Science.gov (United States)

    Balci, Özgül

    2017-01-01

    The purpose of this study is to determine the relationship between the language learning strategies of freshman students and their learning styles. This study is a descriptive research and employs a relational screening model. Participants of the study were 328 freshman students majoring in different fields at Necmettin Erbakan University Ahmet…

  1. The Relationship Between Learning Style Preferences and Gender, Educational Major and Status in First Year Medical Students: A Survey Study From Iran

    OpenAIRE

    Sarabi-Asiabar, Ali; Jafari, Mehdi; Sadeghifar, Jamil; Tofighi, Shahram; Zaboli, Rouhollah; Peyman, Hadi; Salimi, Mohammad; Shams, Lida

    2014-01-01

    Background: Identifying and employing appropriate learning styles could play an important role in selecting teaching styles in order to improve education. Objectives: This study aimed to determine the relationship between learning styles preferences and gender, educational major and status in first year students at Isfahan University of Medical Sciences. Patients and Methods: A cross-sectional study employing the visual-aural-read/write-kinesthetic (VARK) learning style?s questionnaire was do...

  2. The Effects of Learning Activities Corresponding with Students’ Learning Styles on Academic Success and Attitude within the Scope of Constructivist Learning Approach: The Case of the Concepts of Function and Derivative

    Directory of Open Access Journals (Sweden)

    Kemal Özgen

    2014-04-01

    Full Text Available The aim of this study was to identify the effects of learning activities according to students’ learning styles on students’ academic success and attitude towards mathematics within a scope of constructivist learning approach. The study had a semi-experimental research design based on the pre test-post test model with a control group. The participants of the study were students studying at a state high school in the 2010-2011 academic year. As part of the study, activities which were suitable to the students’ learning styles were developed within the scope of constructivist learning approach in line with McCarthy’s 4MAT system with 8 steps of learning and used for the learning of the concepts of function and derivative. Data were collected using data collection tools such as a personal information form, non-routine problems, and a mathematics attitude scale. Descriptive and non-parametric statistics were used for the analysis of quantitative data. Data analysis indicated that, the learning process in which activities appropriate for students’ learning styles were used to contribute to an increase in the students’ academic success and problem solving skills. Yet, there was no statistically significant difference in students’ attitudes towards mathematics.Key Words:    Constructivist learning approach, learning style, learning activity, success, attitude

  3. QUEST: Eliminating Online Supervised Learning for Efficient Classification Algorithms.

    Science.gov (United States)

    Zwartjes, Ardjan; Havinga, Paul J M; Smit, Gerard J M; Hurink, Johann L

    2016-10-01

    In this work, we introduce QUEST (QUantile Estimation after Supervised Training), an adaptive classification algorithm for Wireless Sensor Networks (WSNs) that eliminates the necessity for online supervised learning. Online processing is important for many sensor network applications. Transmitting raw sensor data puts high demands on the battery, reducing network life time. By merely transmitting partial results or classifications based on the sampled data, the amount of traffic on the network can be significantly reduced. Such classifications can be made by learning based algorithms using sampled data. An important issue, however, is the training phase of these learning based algorithms. Training a deployed sensor network requires a lot of communication and an impractical amount of human involvement. QUEST is a hybrid algorithm that combines supervised learning in a controlled environment with unsupervised learning on the location of deployment. Using the SITEX02 dataset, we demonstrate that the presented solution works with a performance penalty of less than 10% in 90% of the tests. Under some circumstances, it even outperforms a network of classifiers completely trained with supervised learning. As a result, the need for on-site supervised learning and communication for training is completely eliminated by our solution.

  4. Quantum Ensemble Classification: A Sampling-Based Learning Control Approach.

    Science.gov (United States)

    Chen, Chunlin; Dong, Daoyi; Qi, Bo; Petersen, Ian R; Rabitz, Herschel

    2017-06-01

    Quantum ensemble classification (QEC) has significant applications in discrimination of atoms (or molecules), separation of isotopes, and quantum information extraction. However, quantum mechanics forbids deterministic discrimination among nonorthogonal states. The classification of inhomogeneous quantum ensembles is very challenging, since there exist variations in the parameters characterizing the members within different classes. In this paper, we recast QEC as a supervised quantum learning problem. A systematic classification methodology is presented by using a sampling-based learning control (SLC) approach for quantum discrimination. The classification task is accomplished via simultaneously steering members belonging to different classes to their corresponding target states (e.g., mutually orthogonal states). First, a new discrimination method is proposed for two similar quantum systems. Then, an SLC method is presented for QEC. Numerical results demonstrate the effectiveness of the proposed approach for the binary classification of two-level quantum ensembles and the multiclass classification of multilevel quantum ensembles.

  5. Kolb's Learning Style Inventory-1985: Validity Issues and Relations with Metacognitive Knowledge about Problem-Solving Strategies

    Science.gov (United States)

    Metallidou, Panayiota; Platsidou, Maria

    2008-01-01

    This study aimed at investigating: (a) the psychometric properties of Kolb's LSI-1985 in a Greek sample of pre-service and in-service teachers (N=338), (b) group differences in their learning styles and (c) possible relations between the participants' learning styles and their metacognitive knowledge about the frequency of using various…

  6. Classification of Polarimetric SAR Data Using Dictionary Learning

    DEFF Research Database (Denmark)

    Vestergaard, Jacob Schack; Nielsen, Allan Aasbjerg; Dahl, Anders Lindbjerg

    2012-01-01

    This contribution deals with classification of multilook fully polarimetric synthetic aperture radar (SAR) data by learning a dictionary of crop types present in the Foulum test site. The Foulum test site contains a large number of agricultural fields, as well as lakes, forests, natural vegetation......, grasslands and urban areas, which make it ideally suited for evaluation of classification algorithms. Dictionary learning centers around building a collection of image patches typical for the classification problem at hand. This requires initial manual labeling of the classes present in the data and is thus...... a method for supervised classification. Sparse coding of these image patches aims to maintain a proficient number of typical patches and associated labels. Data is consecutively classified by a nearest neighbor search of the dictionary elements and labeled with probabilities of each class. Each dictionary...

  7. Learning about the internal structure of categories through classification and feature inference.

    Science.gov (United States)

    Jee, Benjamin D; Wiley, Jennifer

    2014-01-01

    Previous research on category learning has found that classification tasks produce representations that are skewed toward diagnostic feature dimensions, whereas feature inference tasks lead to richer representations of within-category structure. Yet, prior studies often measure category knowledge through tasks that involve identifying only the typical features of a category. This neglects an important aspect of a category's internal structure: how typical and atypical features are distributed within a category. The present experiments tested the hypothesis that inference learning results in richer knowledge of internal category structure than classification learning. We introduced several new measures to probe learners' representations of within-category structure. Experiment 1 found that participants in the inference condition learned and used a wider range of feature dimensions than classification learners. Classification learners, however, were more sensitive to the presence of atypical features within categories. Experiment 2 provided converging evidence that classification learners were more likely to incorporate atypical features into their representations. Inference learners were less likely to encode atypical category features, even in a "partial inference" condition that focused learners' attention on the feature dimensions relevant to classification. Overall, these results are contrary to the hypothesis that inference learning produces superior knowledge of within-category structure. Although inference learning promoted representations that included a broad range of category-typical features, classification learning promoted greater sensitivity to the distribution of typical and atypical features within categories.

  8. Vietnamese Document Representation and Classification

    Science.gov (United States)

    Nguyen, Giang-Son; Gao, Xiaoying; Andreae, Peter

    Vietnamese is very different from English and little research has been done on Vietnamese document classification, or indeed, on any kind of Vietnamese language processing, and only a few small corpora are available for research. We created a large Vietnamese text corpus with about 18000 documents, and manually classified them based on different criteria such as topics and styles, giving several classification tasks of different difficulty levels. This paper introduces a new syllable-based document representation at the morphological level of the language for efficient classification. We tested the representation on our corpus with different classification tasks using six classification algorithms and two feature selection techniques. Our experiments show that the new representation is effective for Vietnamese categorization, and suggest that best performance can be achieved using syllable-pair document representation, an SVM with a polynomial kernel as the learning algorithm, and using Information gain and an external dictionary for feature selection.

  9. Attribute Learning for SAR Image Classification

    Directory of Open Access Journals (Sweden)

    Chu He

    2017-04-01

    Full Text Available This paper presents a classification approach based on attribute learning for high spatial resolution Synthetic Aperture Radar (SAR images. To explore the representative and discriminative attributes of SAR images, first, an iterative unsupervised algorithm is designed to cluster in the low-level feature space, where the maximum edge response and the ratio of mean-to-variance are included; a cross-validation step is applied to prevent overfitting. Second, the most discriminative clustering centers are sorted out to construct an attribute dictionary. By resorting to the attribute dictionary, a representation vector describing certain categories in the SAR image can be generated, which in turn is used to perform the classifying task. The experiments conducted on TerraSAR-X images indicate that those learned attributes have strong visual semantics, which are characterized by bright and dark spots, stripes, or their combinations. The classification method based on these learned attributes achieves better results.

  10. ANALYZING THE LEARNING STYLES OF JUNIOR HIGH SCHOOL STUDENTS AND THE IMPLICATION TO ENGLISH TEACHING: A CASE STUDY AT SMPN I DAGANGAN MADIUN

    Directory of Open Access Journals (Sweden)

    Zainal Arifin

    2016-02-01

    Full Text Available A language is probably the most difficult set of skills a person could ever struggle to learn. There is no easy way to master a language, particularly a language which is not our first language. In the process of learning a language particularly a second language, there are many variables that determine the success of learning; one of the variables is learning styles. In a class made up of various learning styles, it is always necessary for language teachers to identify, respect, and work on the diversity of the learners’ differences. The study investigated the diverse learning styles employed by ESL students of SMPN 1 Dagangan, Madiun Regency of East Java. The students were classified into three levels of competence: high, middle, and low level competence. They were also classified based on gender: males and females. A set of questionnaire was distributed to fifteen students. To get deeper interpretation on their learning styles, the students were also interviewed. The students’ learning style preferences were identified based on their levels of competence and gender in order to investigate their differences. The data was analyzed qualitatively. The findings revealed that the students’ learning styles can be categorized into visual, auditory, kinesthethic, tactile, individual, and group learners. The results of the study indicated that there were some differences in using learning styles by the students of high, middle and low levels of competence. A little difference was also found in male and female students in using learning styles. Thus, it is important for teachers to be aware of their students learning styles. It is clear then that one factor which can lead to the success of a language teaching-learning process is the match between students` learning styles and the teaching methods used by the teachers.

  11. Differences in Learning Styles and Satisfaction between Traditional Face-to-Face and Online Web-Based Sport Management Studies Students

    Science.gov (United States)

    West, Ellen Jo

    2010-01-01

    Each student has a unique learning style or individual way of perceiving, interacting, and responding to a learning environment. The purpose of this study was to identify and compare the prevalence of learning styles among undergraduate Sport Management Studies (SMS) students at California University of Pennsylvania (Cal U). Learning style…

  12. Learning Styles of Baccalaureate Nursing Students and Attitudes toward Theory-Based Nursing.

    Science.gov (United States)

    Laschinger, Heather K.; Boss, Marvin K.

    1989-01-01

    The personal and environmental factors related to undergraduate and post-RN nursing students' attitudes toward theory-based nursing from Kolb's experiential learning theory perspective were investigated. Learning style and environmental press perceptions were found to be related to attitudes toward theory-based nursing. (Author/MLW)

  13. Student learning style preferences in college-level biology courses: Implications for teaching and academic performance

    Science.gov (United States)

    Sitton, Jennifer Susan

    Education research has focused on defining and identifying student learning style preferences and how to incorporate this knowledge into teaching practices that are effective in engaging student interest and transmitting information. One objective was determining the learning style preferences of undergraduate students in Biology courses at New Mexico State University by using the online VARK Questionnaire and an investigator developed survey (Self Assessed Learning Style Survey, LSS). Categories include visual, aural, read-write, kinesthetic, and multimodal. The courses differed in VARK single modal learning preferences (p = 0.035) but not in the proportions of the number of modes students preferred (p = 0.18). As elsewhere, the majority of students were multimodal. There were similarities and differences between LSS and VARK results and between students planning on attending medical school and those not. Preferences and modalities tended not to match as expected for ratings of helpfulness of images and text. To detect relationships between VARK preferred learning style and academic performance, ANOVAs were performed using modality preferences and normalized learning gains from pre and post tests over material taught in the different modalities, as well as on end of semester laboratory and lecture grades. Overall, preference did not affect the performance for a given modality based activity, quiz, or final lecture or laboratory grades (p > 0.05). This suggests that a student's preference does not predict an improved performance when supplied with material in that modality. It is recommended that methods be developed to aid learning in a variety of modalities, rather than catering to individual learning styles. Another topic that is heavily debated in the field of education is the use of simulations or videos to replace or supplement dissections. These activities were compared using normalized learning gains from pre and post tests, as well as attitude surveys

  14. LEARNING STYLES BASED ADAPTIVE INTELLIGENT TUTORING SYSTEMS: DOCUMENT ANALYSIS OF ARTICLES PUBLISHED BETWEEN 2001. AND 2016.

    Directory of Open Access Journals (Sweden)

    Amit Kumar

    2017-12-01

    Full Text Available Actualizing instructional intercessions to suit learner contrasts has gotten extensive consideration. Among these individual contrast factors, the observational confirmation in regards to the academic benefit of learning styles has been addressed, yet the examination on the issue proceeds. Late improvements in web-based executions have driven researchers to re-examine the learning styles in adaptive tutoring frameworks. Adaptivity in intelligent tutoring systems is strongly influenced by the learning style of a learner. This study involved extensive document analysis of adaptive tutoring systems based on learning styles. Seventy-eight studies in literature from 2001 to 2016 were collected and classified under select parameters such as main focus, purpose, research types, methods, types and levels of participants, field/area of application, learner modelling, data gathering tools used and research findings. The current studies reveal that majority of the studies defined a framework or architecture of adaptive intelligent tutoring system (AITS while others focused on impact of AITS on learner satisfaction and academic outcomes. Currents trends, gaps in literature and ications were discussed.

  15. Cooperative Learning for Distributed In-Network Traffic Classification

    Science.gov (United States)

    Joseph, S. B.; Loo, H. R.; Ismail, I.; Andromeda, T.; Marsono, M. N.

    2017-04-01

    Inspired by the concept of autonomic distributed/decentralized network management schemes, we consider the issue of information exchange among distributed network nodes to network performance and promote scalability for in-network monitoring. In this paper, we propose a cooperative learning algorithm for propagation and synchronization of network information among autonomic distributed network nodes for online traffic classification. The results show that network nodes with sharing capability perform better with a higher average accuracy of 89.21% (sharing data) and 88.37% (sharing clusters) compared to 88.06% for nodes without cooperative learning capability. The overall performance indicates that cooperative learning is promising for distributed in-network traffic classification.

  16. Classification of Strawberry Fruit Shape by Machine Learning

    Science.gov (United States)

    Ishikawa, T.; Hayashi, A.; Nagamatsu, S.; Kyutoku, Y.; Dan, I.; Wada, T.; Oku, K.; Saeki, Y.; Uto, T.; Tanabata, T.; Isobe, S.; Kochi, N.

    2018-05-01

    Shape is one of the most important traits of agricultural products due to its relationships with the quality, quantity, and value of the products. For strawberries, the nine types of fruit shape were defined and classified by humans based on the sampler patterns of the nine types. In this study, we tested the classification of strawberry shapes by machine learning in order to increase the accuracy of the classification, and we introduce the concept of computerization into this field. Four types of descriptors were extracted from the digital images of strawberries: (1) the Measured Values (MVs) including the length of the contour line, the area, the fruit length and width, and the fruit width/length ratio; (2) the Ellipse Similarity Index (ESI); (3) Elliptic Fourier Descriptors (EFDs), and (4) Chain Code Subtraction (CCS). We used these descriptors for the classification test along with the random forest approach, and eight of the nine shape types were classified with combinations of MVs + CCS + EFDs. CCS is a descriptor that adds human knowledge to the chain codes, and it showed higher robustness in classification than the other descriptors. Our results suggest machine learning's high ability to classify fruit shapes accurately. We will attempt to increase the classification accuracy and apply the machine learning methods to other plant species.

  17. Empirical Studies On Machine Learning Based Text Classification Algorithms

    OpenAIRE

    Shweta C. Dharmadhikari; Maya Ingle; Parag Kulkarni

    2011-01-01

    Automatic classification of text documents has become an important research issue now days. Properclassification of text documents requires information retrieval, machine learning and Natural languageprocessing (NLP) techniques. Our aim is to focus on important approaches to automatic textclassification based on machine learning techniques viz. supervised, unsupervised and semi supervised.In this paper we present a review of various text classification approaches under machine learningparadig...

  18. Predicting High School Student Use of Learning Strategies: The Role of Preferred Learning Styles and Classroom Climate

    Science.gov (United States)

    Cheema, Jehanzeb; Kitsantas, Anastasia

    2016-01-01

    This study investigated the predictiveness of preferred learning styles (competitive and cooperative) and classroom climate (teacher support and disciplinary climate) on learning strategy use in mathematics. The student survey part of the Programme for International Student Assessment 2003 comprising of 4633 US observations was used in a weighted…

  19. The Effects of Brain-Based Learning on the Academic Achievement of Students with Different Learning Styles

    Science.gov (United States)

    Duman, Bilal

    2010-01-01

    The purpose of the present study is to investigate the effects of Brain-based learning (BBL) on the academic achievement of students with different learning styles. The study group consists of students from the department of Social Sciences Teacher Education in the Faculty of Education at Mugla University (N=68). In the study, a pre-test-post-test…

  20. Discriminative Bayesian Dictionary Learning for Classification.

    Science.gov (United States)

    Akhtar, Naveed; Shafait, Faisal; Mian, Ajmal

    2016-12-01

    We propose a Bayesian approach to learn discriminative dictionaries for sparse representation of data. The proposed approach infers probability distributions over the atoms of a discriminative dictionary using a finite approximation of Beta Process. It also computes sets of Bernoulli distributions that associate class labels to the learned dictionary atoms. This association signifies the selection probabilities of the dictionary atoms in the expansion of class-specific data. Furthermore, the non-parametric character of the proposed approach allows it to infer the correct size of the dictionary. We exploit the aforementioned Bernoulli distributions in separately learning a linear classifier. The classifier uses the same hierarchical Bayesian model as the dictionary, which we present along the analytical inference solution for Gibbs sampling. For classification, a test instance is first sparsely encoded over the learned dictionary and the codes are fed to the classifier. We performed experiments for face and action recognition; and object and scene-category classification using five public datasets and compared the results with state-of-the-art discriminative sparse representation approaches. Experiments show that the proposed Bayesian approach consistently outperforms the existing approaches.

  1. Indexing Density Models for Incremental Learning and Anytime Classification on Data Streams

    DEFF Research Database (Denmark)

    Seidl, Thomas; Assent, Ira; Kranen, Philipp

    2009-01-01

    Classification of streaming data faces three basic challenges: it has to deal with huge amounts of data, the varying time between two stream data items must be used best possible (anytime classification) and additional training data must be incrementally learned (anytime learning) for applying...... to the individual object to be classified) a hierarchy of mixture densities that represent kernel density estimators at successively coarser levels. Our probability density queries together with novel classification improvement strategies provide the necessary information for very effective classification at any...... point of interruption. Moreover, we propose a novel evaluation method for anytime classification using Poisson streams and demonstrate the anytime learning performance of the Bayes tree....

  2. Learning styles in Higher Education: facing drop out and retention

    Directory of Open Access Journals (Sweden)

    Vanessa Matos dos Santos

    2018-05-01

    Full Text Available Dropout and retention have been configured today as one of the greatest challenges for Higher Education, not only in Brazil, but worldwide. In this sense, this article presents the results obtained using the learning styles methodology in the development of educational audiovisuals based on the four different styles proposed by Alonso, Gallego and Honey (2007, which are: active, reflexive, theoretical and pragmatic. It is reported in this text the course developed by the group that worked on the project, which surpassed the goals initially outlined in qualitative and quantitative terms, and revealed important and innovative nuances regarding the educational process based on the students’ engagement. It is mainly highlighted here the fact that styles are not labels for student cataloging but rather a teaching methodology that implies a specific didactics.

  3. The Relationship between Saudi English Major University Students' Writing Performance and Their Learning Style and Strategy Use

    Science.gov (United States)

    Alkubaidi, Miriam A.

    2014-01-01

    This study investigates the link between writing tasks, learners' learning style preference, and writing strategy use. It also investigates if students with various proficiency levels stem from different learning style preference and use different writing strategies. This research attempts to answer the following research questions: what are the…

  4. Learning Styles among Students in an Advanced Soil Management Class: Impact on Students' Performance

    Science.gov (United States)

    Eudoxie, Gaius D.

    2011-01-01

    Learning styles represent an integral component of the learning environment, which has been shown to differ across institutions and disciplines. To identify learner preferences within a discipline would aid in evaluating instructional resources geared toward active learning. The learning profiles of second-year soil science students (n = 62) were…

  5. The interdependence between learning styles and and types of intelligence in students of Psychology specialization

    Directory of Open Access Journals (Sweden)

    Petru Jelescu

    2016-11-01

    Full Text Available Learning styles and types of intelligence are essential features of effective learning. Discovering and creative approach could be more appropriate form of learning to the current conditions of society.

  6. QUEST: Eliminating Online Supervised Learning for Efficient Classification Algorithms

    Directory of Open Access Journals (Sweden)

    Ardjan Zwartjes

    2016-10-01

    Full Text Available In this work, we introduce QUEST (QUantile Estimation after Supervised Training, an adaptive classification algorithm for Wireless Sensor Networks (WSNs that eliminates the necessity for online supervised learning. Online processing is important for many sensor network applications. Transmitting raw sensor data puts high demands on the battery, reducing network life time. By merely transmitting partial results or classifications based on the sampled data, the amount of traffic on the network can be significantly reduced. Such classifications can be made by learning based algorithms using sampled data. An important issue, however, is the training phase of these learning based algorithms. Training a deployed sensor network requires a lot of communication and an impractical amount of human involvement. QUEST is a hybrid algorithm that combines supervised learning in a controlled environment with unsupervised learning on the location of deployment. Using the SITEX02 dataset, we demonstrate that the presented solution works with a performance penalty of less than 10% in 90% of the tests. Under some circumstances, it even outperforms a network of classifiers completely trained with supervised learning. As a result, the need for on-site supervised learning and communication for training is completely eliminated by our solution.

  7. Classification of multiple sclerosis lesions using adaptive dictionary learning.

    Science.gov (United States)

    Deshpande, Hrishikesh; Maurel, Pierre; Barillot, Christian

    2015-12-01

    This paper presents a sparse representation and an adaptive dictionary learning based method for automated classification of multiple sclerosis (MS) lesions in magnetic resonance (MR) images. Manual delineation of MS lesions is a time-consuming task, requiring neuroradiology experts to analyze huge volume of MR data. This, in addition to the high intra- and inter-observer variability necessitates the requirement of automated MS lesion classification methods. Among many image representation models and classification methods that can be used for such purpose, we investigate the use of sparse modeling. In the recent years, sparse representation has evolved as a tool in modeling data using a few basis elements of an over-complete dictionary and has found applications in many image processing tasks including classification. We propose a supervised classification approach by learning dictionaries specific to the lesions and individual healthy brain tissues, which include white matter (WM), gray matter (GM) and cerebrospinal fluid (CSF). The size of the dictionaries learned for each class plays a major role in data representation but it is an even more crucial element in the case of competitive classification. Our approach adapts the size of the dictionary for each class, depending on the complexity of the underlying data. The algorithm is validated using 52 multi-sequence MR images acquired from 13 MS patients. The results demonstrate the effectiveness of our approach in MS lesion classification. Copyright © 2015 Elsevier Ltd. All rights reserved.

  8. Applying Active Learning to Assertion Classification of Concepts in Clinical Text

    Science.gov (United States)

    Chen, Yukun; Mani, Subramani; Xu, Hua

    2012-01-01

    Supervised machine learning methods for clinical natural language processing (NLP) research require a large number of annotated samples, which are very expensive to build because of the involvement of physicians. Active learning, an approach that actively samples from a large pool, provides an alternative solution. Its major goal in classification is to reduce the annotation effort while maintaining the quality of the predictive model. However, few studies have investigated its uses in clinical NLP. This paper reports an application of active learning to a clinical text classification task: to determine the assertion status of clinical concepts. The annotated corpus for the assertion classification task in the 2010 i2b2/VA Clinical NLP Challenge was used in this study. We implemented several existing and newly developed active learning algorithms and assessed their uses. The outcome is reported in the global ALC score, based on the Area under the average Learning Curve of the AUC (Area Under the Curve) score. Results showed that when the same number of annotated samples was used, active learning strategies could generate better classification models (best ALC – 0.7715) than the passive learning method (random sampling) (ALC – 0.7411). Moreover, to achieve the same classification performance, active learning strategies required fewer samples than the random sampling method. For example, to achieve an AUC of 0.79, the random sampling method used 32 samples, while our best active learning algorithm required only 12 samples, a reduction of 62.5% in manual annotation effort. PMID:22127105

  9. Cognitive Style and Learning Strategies JoAnn Salvisberg looks at current SLA theories and their possible applications to the classroom situation

    Institute of Scientific and Technical Information of China (English)

    JoAnn Salvisberg

    2005-01-01

    @@ People learn and process new information in different ways. For decades researchers have been studying and comparing the personality traits any cognitive learning styles of students to discover any distinguishing trait patterns(i. e. more characteristic of academically successful students than other learners) . Moreover, many believe that if the classroom environment and even the teachers' teaching style can be tailored to meet the students' learning styles, learning as well as the students' self-concept as a learner will increase (Corzza, Gustin and Edelkind, 1995). This article will offer a brief overview of differences in style and strategies and discuss the implications for teaching.

  10. A Study on the Relationships between Digital Game Preference and Game Preference Reason with Gender, Class Level and Learning Styles

    OpenAIRE

    Ferhat Kadir PALA; Mukaddes ERDEM

    2011-01-01

    This study examined for to determine the relationships between digital game preferences and the game preferences reasons with gender, class levels and learning styles of university students. Study group consisted of students of Computer Education and Instructional Technology Department. Game preferences and preference reasons data were gathered by an open ended 16 items questionnaire. Kolb’s Learning Style Inventory was used for collecting learning styles data. As a result, significant relati...

  11. A rule-learning program in high energy physics event classification

    International Nuclear Information System (INIS)

    Clearwater, S.H.; Stern, E.G.

    1991-01-01

    We have applied a rule-learning program to the problem of event classification in high energy physics. The program searches for event classifications, i.e. rules, and effectively allows an exploration of many more possible classifications than is practical by a physicist. The program, RL4, is particularly useful because it can easily explore multi-dimensional rules as well as rules that may seem non-intuitive at first to the physicist. RL4 is also contrasted with other learning programs. (orig.)

  12. Undirected learning styles and academic risk: Analysis of the impact of stress, strain and coping.

    Science.gov (United States)

    Kimatian, Stephen; Lloyd, Sara; Berger, Jeffrey; Steiner, Lorraine; McKay, Robert; Schwengal, Deborah

    2017-01-01

    Learning style inventories used in conjunction with a measure of academic achievement consistently show an association of meaning directed learning patterns with academic success, but have failed to show a clear association of undirected learning styles with academic failure. Using survey methods with anesthesia residents, this study questioned whether additional assessment of factors related to stress, strain, and coping help to better define the association between undirected learning styles and academic risk. Pearson chi squared tests. 296 subjects were enrolled from eight institutions with 142 (48%) completing the study. American Board of Anesthesiologists In Training Examinations (ITE) percentiles (ITE%) were used as a measure of academic achievement. The Vermunt Inventory of Learning Styles (ILS) was used to identify four learning patterns and 20 strategies, and the Osipow Stress Inventory-Revised (OSI-R) was used as a measure of six scales of occupational stress, four of personal strain, and four coping resources. Two learning patterns had significant relationship with ITE scores. As seen in previous studies, Meaning Directed Learning was beneficial for academic achievement while Undirected Learning was the least beneficial. Higher scores on Meaning Directed Learning correlated positively with higher ITE scores while higher Undirected and lower Meaning Directed patterns related negatively to ITE%. OSI-R measures of stress, strain and coping indicated that residents with Undirected learning patterns had higher scores on three scales related to stress, and 4 related to strain, while displaying lower scores on two scales related to coping. Residents with higher Meaning Directed patterns scored lower on two scales of stress and two scales of strain, with higher scores on two scales for coping resources. Low Meaning Directed and high Undirected learning patterns correlated with lower ITE percentiles, higher scores for stress and strain, and lower coping resources

  13. Iranian EFL Learners' Emotional Intelligence, Learning Styles, Strategy Use, and Their L2 Achievement

    Science.gov (United States)

    Afshar, Hassan Soodmand; Tofighi, Somayyeh; Hamazavi, Raouf

    2016-01-01

    The idea that language learning is facilitated or inhibited by a multitude of factors has prompted scholars in the field to investigate variables considered to be crucial in the process of second or foreign language learning. This study investigated relationships between emotional intelligence, learning style, language learning strategy use, and…

  14. The Relationship of Assertiveness and Locus of Control with Learning Styles of the Physical Education and Sports School Students

    OpenAIRE

    SUCAN, Serdar; TURAN, Mehmet Behzat; PEPE, Osman; KARAOĞLU, Barış; DOĞAN, Doğan

    2016-01-01

    The present study have been conducted to investigate Physical Education and Sports School students’ learning style preferences in terms of assertiveness and locus of control to see relationship between and learning style.For this purpose “Kolb’s Learning Style Inventory” translated in Turkish by Askar and Akkoyunlu (1993), “Rathus Assertiveness Scale” which was developed by Rathus A.S. (1973) and “Rotter’s Locus of Control Scale” (1966) which was developed into Turkish by Dağ (1990) was admin...

  15. An Investigation on the Correlation of Learner Styles and Learning Objects Characteristics in a Proposed Learning Objects Management Model (LOMM)

    Science.gov (United States)

    Wanapu, Supachanun; Fung, Chun Che; Kerdprasop, Nittaya; Chamnongsri, Nisachol; Niwattanakul, Suphakit

    2016-01-01

    The issues of accessibility, management, storage and organization of Learning Objects (LOs) in education systems are a high priority of the Thai Government. Incorporating personalized learning or learning styles in a learning object management system to improve the accessibility of LOs has been addressed continuously in the Thai education system.…

  16. LIFE-STYLE SEGMENTATION WITH TAILORED INTERVIEWING

    NARCIS (Netherlands)

    KAMAKURA, WA; WEDEL, M

    The authors present a tailored interviewing procedure for life-style segmentation. The procedure assumes that a life-style measurement instrument has been designed. A classification of a sample of consumers into life-style segments is obtained using a latent-class model. With these segments, the

  17. The Use of Decorative Styles of Woven Songket as a Source of Learning in the Course Textile Design and Decoration

    Directory of Open Access Journals (Sweden)

    Made Budhyani I Dewa Ayu

    2018-01-01

    Full Text Available The use of learning sources in the learning process greatly contributes to the achievement of its goal. The use of learning sources greatly affects the teaching and learning process. It is necessary to use different learning sources when creating a textile design in order to produce a quality product. The decorative style of woven songket can be used as one of the learning sources. The different decorative types of the woven songket contain aesthetic values. The decorative type of woven songket is a product of the crafter’s feeling, creativity, and intention inspired by the environment. The natural objects such as plants, animals, human beings, and geometric elements are stylized into the decorative forms. The decorative style used on the woven songket can be used as the learning source in order to create the decorative style in the course Textile Design and Decoration. There are several aesthetic elements which inspire where the decorative style is placed; they are composition, rhythm, balance, the harmonious layout of the decorative style, and the variation of the decorative style on the textile design. In general, the composition of the placement of the main object of the decorative style is more dominant on the piece of fabric. Rhythm and how the decorative style is composed are shown through the composition of the decorative motive forms such as how big and small they are, how high and low they are and how long and short they are. The ways in which the decorative motives and colors are entirely shown contribute to the harmony and placement of decorative style. The symmetric balance is used to create balance and avoid the impression of being biased. The placement of what the motives contain and how they are composed are used to determine the variation of the decorative style used. The placement of objects and the marginal decoration of the fabric also determine the variation used.

  18. Generational Learning Style Preferences Based on Computer-Based Healthcare Training

    Science.gov (United States)

    Knight, Michaelle H.

    2016-01-01

    Purpose. The purpose of this mixed-method study was to determine the degree of perceived differences for auditory, visual and kinesthetic learning styles of Traditionalist, Baby Boomers, Generation X and Millennial generational healthcare workers participating in technology-assisted healthcare training. Methodology. This mixed-method research…

  19. Learning styles differences among engineering students of daytime and evening classes programs

    Directory of Open Access Journals (Sweden)

    Marco Antonio DÍAZ DÍAZ

    2017-12-01

    Full Text Available The purpose of this exploratory research was to identify if there were any differences in the student’s learning styles of three engineering academic programs from daytime and evening classes. The motivation aroused from the observation that the academic performance of these two populations, in response to equally demanding academic programs, was equivalent, despite having far less demanding requirements for the acceptance in the evening class program. The results of this research showed no relevant differences in the learning styles of the students of the two programs, giving rise to more questions than answers, mainly regarding the motivations of the evening class students and the academic requirements for the acceptance in a tertiary institution. 

  20. A supervised learning rule for classification of spatiotemporal spike patterns.

    Science.gov (United States)

    Lilin Guo; Zhenzhong Wang; Adjouadi, Malek

    2016-08-01

    This study introduces a novel supervised algorithm for spiking neurons that take into consideration synapse delays and axonal delays associated with weights. It can be utilized for both classification and association and uses several biologically influenced properties, such as axonal and synaptic delays. This algorithm also takes into consideration spike-timing-dependent plasticity as in Remote Supervised Method (ReSuMe). This paper focuses on the classification aspect alone. Spiked neurons trained according to this proposed learning rule are capable of classifying different categories by the associated sequences of precisely timed spikes. Simulation results have shown that the proposed learning method greatly improves classification accuracy when compared to the Spike Pattern Association Neuron (SPAN) and the Tempotron learning rule.

  1. Attributional style and the generality of learned helplessness.

    Science.gov (United States)

    Alloy, L B; Peterson, C; Abramson, L Y; Seligman, M E

    1984-03-01

    According to the logic of the attribution reformulation of learned helplessness, the interaction of two factors influences whether helplessness experienced in one situation will transfer to a new situation. The model predicts that people who exhibit a style of attributing negative outcomes to global factors will show helplessness deficits in new situations that are either similar or dissimilar to the original situation in which they were helpless. In contrast, people who exhibit a style of attributing negative outcomes to only specific factors will show helplessness deficits in situations that are similar, but not dissimilar, to the original situation in which they were helpless. To test these predictions, we conducted two studies in which undergraduates with either a global or specific attributional style for negative outcomes were given one of three pretreatments in the typical helplessness triadic design: controllable bursts of noise, uncontrollable bursts of noise, or no noise. In Experiment 1, students were tested for helplessness deficits in a test situation similar to the pretreatment setting, whereas in Experiment 2, they were tested in a test situation dissimilar to the pretreatment setting. The findings were consistent with predictions of the reformulated helplessness theory.

  2. Learning Styles in the Classroom: Educational Benefit or Planning Exercise?

    Science.gov (United States)

    Allcock, Sarah J.; Hulme, Julie A.

    2010-01-01

    Differentiation of teaching is encouraged to accommodate student diversity. This study investigated whether using learning styles as a basis for differentiation improved A-level student performance, compared to differentiation on the basis of academic ability. Matched classes of A-level psychology students participated. In one class, learning…

  3. The role of critical thinking skills and learning styles of university students in their academic performance

    Science.gov (United States)

    GHAZIVAKILI, ZOHRE; NOROUZI NIA, ROOHANGIZ; PANAHI, FARIDE; KARIMI, MEHRDAD; GHOLSORKHI, HAYEDE; AHMADI, ZARRIN

    2014-01-01

    Introduction: The Current world needs people who have a lot of different abilities such as cognition and application of different ways of thinking, research, problem solving, critical thinking skills and creativity. In addition to critical thinking, learning styles is another key factor which has an essential role in the process of problem solving. This study aimed to determine the relationship between learning styles and critical thinking of students and their academic performance in Alborz University of Medical Science. Methods: This cross-correlation study was performed in 2012, on 216 students of Alborz University who were selected randomly by the stratified random sampling. The data was obtained via a three-part questionnaire included demographic data, Kolb standardized questionnaire of learning style and California critical thinking standardized questionnaire. The academic performance of the students was extracted by the school records. The validity of the instruments was determined in terms of content validity, and the reliability was gained through internal consistency methods. Cronbach's alpha coefficient was found to be 0.78 for the California critical thinking questionnaire. The Chi Square test, Independent t-test, one way ANOVA and Pearson correlation test were used to determine relationship between variables. The Package SPSS14 statistical software was used to analyze data with a significant level of pcritical thinking of the students showed that the mean of deductive reasoning and evaluation skills were higher than that of other skills and analytical skills had the lowest mean and there was a positive significant relationship between the students’ performance with inferential skill and the total score of critical thinking skills (pcritical thinking had significant difference between different learning styles. Conclusion: The results of this study showed that the learning styles, critical thinking and academic performance are significantly associated

  4. Learning styles and types of multiple intelligences in dental students in their first and tenth semester. Monterrey, Mexico, 2015.

    Directory of Open Access Journals (Sweden)

    Juan Solís-Soto

    2016-04-01

    Full Text Available Introduction: Nowadays the incorporation and validation of learning styles and multiple intelligences enable teachers to obtain positive results in academic performance. This new approach has allowed to appreciate personal differences in dental students and strengthen their underdeveloped aspects, improving teaching and learning skills. Objective: To compare learning styles and multiple intelligences in a sample of Mexican dental students in their first and tenth semester. Materials and Methods: A cross-sectional study using questionnaires on learning styles (Honey-Alonso and Gardner’s multiple intelligences was performed. The study was applied to 123 students in their first semester and 157 in their tenth semester at the School of Dentistry at Universidad Autónoma de Nuevo León, evaluating differences between age and sex. Results: Logical-Mathematical intelligence (p=0.044 and Kinesthetic-Corporal intelligence (p=0.042 showed significant differences between students of both semesters, with intrapersonal and interpersonal intelligences being more prevalent. Within learning styles, the prevalent were Reflexive and Theoretical, showing a significant difference between semesters (p=0.005. Conclusion: The most prevalent learning styles in both groups were Reflexive and Theoretical, with no difference between both sexes. The most prevalent types of multiple intelligences in both sexes and groups were interpersonal and intrapersonal.

  5. The Impact of Explicit Instruction about the Nature of Personal Learning Style on First-Year Students' Perceptions of Successful Learning

    Science.gov (United States)

    Nickles, David A.

    2003-01-01

    This research examines how first-year students' conceptualizations of personal learning theories changed as a result of instruction on learning styles. Students drew concept maps to organize their perceptions related to being successful learners. After completing learning inventories, students completed another concept map using the original…

  6. Learning styles and preferences for live and distance education: an example of a specialisation course in epidemiology.

    Science.gov (United States)

    Groenwold, Rolf H H; Knol, Mirjam J

    2013-07-02

    Distance learning through the internet is increasingly popular in higher education. However, it is unknown how participants in epidemiology courses value live vs. distance education. All participants of a 5-day specialisation course in epidemiology were asked to keep a diary on the number of hours they spent on course activities (both live and distance education). Attendance was not compulsory during the course and participants were therefore also asked for the reasons to attend live education (lectures and practicals). In addition, the relation between participants' learning styles (Index of Learning Styles) and their participation in live and distance education was studied. All 54 (100%) participants in the course completed the questionnaire on attendance and 46 (85%) completed the questionnaire on learning styles. The number of hours attending live education was negatively correlated with the number of hours going studying distance learning materials (Pearson correlation -0.5; p education was to stay focused during lectures (50%), and to ask questions during practicals (50%). A lack of time was the most important reason not to attend lectures (52%) or practicals (61%). Learning styles were not association with the number of hours spent on live or distance education. Distance learning may play an important role in epidemiology courses, since it allows participants to study whenever and wherever they prefer, which provides the opportunity to combine courses with clinical duties. An important requirement for distance learning education appears to be the possibility to ask questions and to interact with instructors.

  7. A strategy learning model for autonomous agents based on classification

    Directory of Open Access Journals (Sweden)

    Śnieżyński Bartłomiej

    2015-09-01

    Full Text Available In this paper we propose a strategy learning model for autonomous agents based on classification. In the literature, the most commonly used learning method in agent-based systems is reinforcement learning. In our opinion, classification can be considered a good alternative. This type of supervised learning can be used to generate a classifier that allows the agent to choose an appropriate action for execution. Experimental results show that this model can be successfully applied for strategy generation even if rewards are delayed. We compare the efficiency of the proposed model and reinforcement learning using the farmer-pest domain and configurations of various complexity. In complex environments, supervised learning can improve the performance of agents much faster that reinforcement learning. If an appropriate knowledge representation is used, the learned knowledge may be analyzed by humans, which allows tracking the learning process

  8. Analisa Pengaruh Leadership Style terhadap Firm Performance melalui Learning Organization dan Employee Satisfaction (Studi Kasus pada Perusahaan Sektor Non-manufaktur di Surabaya)

    OpenAIRE

    Kristanti, Florentina

    2014-01-01

    Penelitian ini bertujuan untuk mengetahui pengaruh langsung yang signifikan dari leadership style terhadap learning organization, leadership style terhadap employee satisfaction, learning organization terhadap firm performance, employee satisfaction terhadap firm performance, learning organization terhadap employee satisfaction, dan leadership style terhadap firm performance pada Perusahaan non-manufaktur di Surabaya. Penelitian ini berbentuk penelitian kuantitatif, dimana data diperoleh mela...

  9. Attributional style and depression in multiple sclerosis: the learned helplessness model.

    Science.gov (United States)

    Vargas, Gray A; Arnett, Peter A

    2013-01-01

    Several etiologic theories have been proposed to explain depression in the general population. Studying these models and modifying them for use in the multiple sclerosis (MS) population may allow us to better understand depression in MS. According to the reformulated learned helplessness (LH) theory, individuals who attribute negative events to internal, stable, and global causes are more vulnerable to depression. This study differentiated attributional style that was or was not related to MS in 52 patients with MS to test the LH theory in this population and to determine possible differences between illness-related and non-illness-related attributions. Patients were administered measures of attributional style, daily stressors, disability, and depressive symptoms. Participants were more likely to list non-MS-related than MS-related causes of negative events on the Attributional Style Questionnaire (ASQ), and more-disabled participants listed significantly more MS-related causes than did less-disabled individuals. Non-MS-related attributional style correlated with stress and depressive symptoms, but MS-related attributional style did not correlate with disability or depressive symptoms. Stress mediated the effect of non-MS-related attributional style on depressive symptoms. These results suggest that, although attributional style appears to be an important construct in MS, it does not seem to be related directly to depressive symptoms; rather, it is related to more perceived stress, which in turn is related to increased depressive symptoms.

  10. Examining the Effects of Training According to Learning Styles on Self-care among Patients with Type 2 Diabetes

    Directory of Open Access Journals (Sweden)

    Amir Reza Saleh Moghadam

    2017-01-01

    Full Text Available Background: Despite the implementation of new training programs, neglecting individual differences in terms of learning styles can be taken into account as one of the reasons for poor levels of self-care behaviors in patients suffering from diabetes. Aim: The purpose of the present study was to examine the effect of training according to the learning styles on self-care behaviors among individuals suffering from type 2 diabetes. Method: This randomized, controlled clinical trial was performed on 69 diabetic patients referring to Parsian Clinic in Mashhad, Iran, who were divided into experimental (comprised of four aural, visual, read-write, and kinesthetic-sensory groups based on the results of the VARK [Visual, Auditory, Read/Write, Kinesthetic] Learning Styles Questionnaire and control (lecture-based education. Self-care training was also conducted during two sessions each two weeks on four domains of diet, exercise program adherence, blood glucose monitoring, and insulin intake. To analyze the data, independent samples t-test and Mann-Whitney U test were run, using SPSS version 21. Results: Based on the independent samples t-test, in the experimental and control groups, the total mean scores of self-care behaviors were not significantly different prior to the intervention (135.2±17.6, 129.7±27.6, respectively. However, a statistically significant difference was noted between the experimental and control groups regarding the total mean scores of self-care behaviors (164.1±7.6, 140.5±10.0, respectively; P=0.001. Conclusion: It was concluded that self-care training based on learning styles could be improved among patients with diabetes. The VARK Learning Styles Questionnaire could be used to facilitate this type of training through providing information about learning and teaching methods as well as using the media appropriate to individuals’ learning styles.

  11. APA, Meet Google: Graduate Students' Approaches to Learning Citation Style

    Science.gov (United States)

    Van Note Chism, Nancy; Weerakoon, Shrinika

    2012-01-01

    Inspired by Perkins' Theories of Difficulty concept, this exploratory study examined the learning patterns of graduate students as they grappled with using the style sheet of the American Psychological Association (APA). The researchers employed task performance analysis of three APA formatting tasks, interviews, and observation during a "think…

  12. The Impact of Learning Styles on Achievement in Principles of Microeconomics: A Natural Experiment

    Science.gov (United States)

    Terregrossa, Ralph; Englander, Fred; Englander, Valerie

    2009-01-01

    This study investigates how a natural experiment occurring in the teaching of principles of microeconomics allows a test of the Dunn and Dunn learning styles model (Dunn & Griggs, 2000). The material for the first exam, based on essential definitions and theoretical foundations, was taught in a conventional, inductive style, more compatible with…

  13. Designing an Adaptive Web-Based Learning System Based on Students' Cognitive Styles Identified Online

    Science.gov (United States)

    Lo, Jia-Jiunn; Chan, Ya-Chen; Yeh, Shiou-Wen

    2012-01-01

    This study developed an adaptive web-based learning system focusing on students' cognitive styles. The system is composed of a student model and an adaptation model. It collected students' browsing behaviors to update the student model for unobtrusively identifying student cognitive styles through a multi-layer feed-forward neural network (MLFF).…

  14. Learning Styles and e-portfolio in Nursing Education

    DEFF Research Database (Denmark)

    Nielsen, Kirsten; Pedersen, Birthe D.; Helms, Niels Henrik

    Purpose of the study Research from UK and USA indicates that an e-portfolio facilitates a stronger connection between theoretical and clinical studies in Nursing Education. It helps students reflect over practice and their own skills. Yet other results show that an e-portfolio is a time consumer....... Thus, the aim of this project is to examine the effects of an e-portfolio on nursing students learning of patients with chronic illness during their clinical practice, and to investigate if it makes any difference in facilitating four learning styles: the activist, the reflector, the theorist...... through observations in clinical settings, narrative interviews, and print-outs from the students e-portfolio. Findings So far a pilot project with a questionnaire shows that 84% of the students and nurses reported that the e-portfolio has a positive effect on students learning in clinical settings...

  15. To What Extent Can the Big Five and Learning Styles Predict Academic Achievement

    Science.gov (United States)

    Köseoglu, Yaman

    2016-01-01

    Personality traits and learning styles play defining roles in shaping academic achievement. 202 university students completed the Big Five personality traits questionnaire and the Inventory of Learning Processes Scale and self-reported their grade point averages. Conscientiousness and agreeableness, two of the Big Five personality traits, related…

  16. Are Surgeons Born or Made? A Comparison of Personality Traits and Learning Styles Between Surgical Trainees and Medical Students.

    Science.gov (United States)

    Preece, Ryan A; Cope, Alexandra C

    2016-01-01

    Medical students and surgical trainees differ considerably in both their preferential learning styles and personality traits. This study compares the personality profiles and learning styles of surgical trainees with a cohort of medical students specifically intent on pursuing a surgical career. A cross-sectional study was conducted contrasting surgical trainees with medical students specifying surgical career intent. The 50-item International Personality Item Pool Big-Five Factor Marker (FFM) questionnaire was used to score 5 personality domains (extraversion, conscientiousness, agreeableness, openness to experience, and neuroticism). The 24-item Learning Style Inventory (LSI) Questionnaire was used to determine the preferential learning styles (visual, auditory, or tactile). χ(2) Analysis and independent samples t-test were used to compare LSI and FFM scores, respectively. Surgical trainees from several UK surgical centers were contrasted to undergraduate medical students. A total of 53 medical students who had specifically declared desire to pursue a surgical career and were currently undertaking an undergraduate intercalated degree in surgical sciences were included and contrasted to 37 UK core surgical trainees (postgraduate years 3-4). The LSI questionnaire was completed by 53 students and 37 trainees. FFM questionnaire was completed by 29 medical students and 34 trainees. No significant difference for learning styles preference was detected between the 2 groups (p = 0.139), with the visual modality being the preferred learning style for both students and trainees (69.8% and 54.1%, respectively). Neuroticism was the only personality trait to differ significantly between the 2 groups, with medical students scoring significantly higher than trainees (2.9 vs. 2.6, p = 0.03). Medical students intent on pursuing a surgical career exhibit similar personality traits and learning styles to surgical trainees, with both groups preferring the visual learning modality

  17. DETERMINATION OF THE RELATIONSHIP BETWEEN TEACHINGMETHODS AND LEARNING STYLES AND AN APPLICATION AT DOKUZ EYLÜL UNIVERSITY FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES

    Directory of Open Access Journals (Sweden)

    YUSUF CAHİT ÇUKACI

    2013-06-01

    Learning styles are important characteristics which exist in every human being since birth and affect learning process of a person. Learning styles can be divided into groups; visual, auditory when someone looks at the environment, he/she can see that some people learn more by seeing. All of these are related to which style is used by the individual in this study, it is tried to reach conclusion by discussing the teaching and learning methods.

  18. Learning Styles and Problem Solving Skills of Turkish Prospective Teachers

    Science.gov (United States)

    Gencel, Ilke Evin

    2015-01-01

    Global changes in educational discourse have an impact on educational systems, so teacher education programs need to be transformed to better train teachers and to contribute to their professional development. In this process learning styles and problem solving skills should be considered as individual differences which have an impact in…

  19. From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification

    Science.gov (United States)

    2010-01-01

    Background Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limited resolution for discrimination of bacteria at the species level. In this paper, we approach the species classification problem from a taxonomic point of view. Such a taxonomy or tree is typically obtained by applying clustering algorithms on FAME data or on 16S rRNA gene data. The knowledge gained from the tree can then be used to evaluate FAME-based classifiers, resulting in a novel framework for bacterial species classification. Results In view of learning in a taxonomic framework, we consider two types of trees. First, a FAME tree is constructed with a supervised divisive clustering algorithm. Subsequently, based on 16S rRNA gene sequence analysis, phylogenetic trees are inferred by the NJ and UPGMA methods. In this second approach, the species classification problem is based on the combination of two different types of data. Herein, 16S rRNA gene sequence data is used for phylogenetic tree inference and the corresponding binary tree splits are learned based on FAME data. We call this learning approach 'phylogenetic learning'. Supervised Random Forest models are developed to train the classification tasks in a stratified cross-validation setting. In this way, better classification results are obtained for species that are typically hard to distinguish by a single or flat multi-class classification model. Conclusions FAME-based bacterial species classification is successfully evaluated in a taxonomic framework. Although the proposed approach does not improve the overall accuracy compared to flat multi-class classification, it has some distinct advantages. First, it has better capabilities for distinguishing species on which flat multi-class classification fails. Secondly, the hierarchical classification structure allows to easily evaluate and visualize the resolution of FAME data for

  20. From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification

    Directory of Open Access Journals (Sweden)

    Dawyndt Peter

    2010-01-01

    Full Text Available Abstract Background Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME data. Nonetheless, FAME analysis has a limited resolution for discrimination of bacteria at the species level. In this paper, we approach the species classification problem from a taxonomic point of view. Such a taxonomy or tree is typically obtained by applying clustering algorithms on FAME data or on 16S rRNA gene data. The knowledge gained from the tree can then be used to evaluate FAME-based classifiers, resulting in a novel framework for bacterial species classification. Results In view of learning in a taxonomic framework, we consider two types of trees. First, a FAME tree is constructed with a supervised divisive clustering algorithm. Subsequently, based on 16S rRNA gene sequence analysis, phylogenetic trees are inferred by the NJ and UPGMA methods. In this second approach, the species classification problem is based on the combination of two different types of data. Herein, 16S rRNA gene sequence data is used for phylogenetic tree inference and the corresponding binary tree splits are learned based on FAME data. We call this learning approach 'phylogenetic learning'. Supervised Random Forest models are developed to train the classification tasks in a stratified cross-validation setting. In this way, better classification results are obtained for species that are typically hard to distinguish by a single or flat multi-class classification model. Conclusions FAME-based bacterial species classification is successfully evaluated in a taxonomic framework. Although the proposed approach does not improve the overall accuracy compared to flat multi-class classification, it has some distinct advantages. First, it has better capabilities for distinguishing species on which flat multi-class classification fails. Secondly, the hierarchical classification structure allows to easily evaluate and visualize the

  1. From learning taxonomies to phylogenetic learning: integration of 16S rRNA gene data into FAME-based bacterial classification.

    Science.gov (United States)

    Slabbinck, Bram; Waegeman, Willem; Dawyndt, Peter; De Vos, Paul; De Baets, Bernard

    2010-01-30

    Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limited resolution for discrimination of bacteria at the species level. In this paper, we approach the species classification problem from a taxonomic point of view. Such a taxonomy or tree is typically obtained by applying clustering algorithms on FAME data or on 16S rRNA gene data. The knowledge gained from the tree can then be used to evaluate FAME-based classifiers, resulting in a novel framework for bacterial species classification. In view of learning in a taxonomic framework, we consider two types of trees. First, a FAME tree is constructed with a supervised divisive clustering algorithm. Subsequently, based on 16S rRNA gene sequence analysis, phylogenetic trees are inferred by the NJ and UPGMA methods. In this second approach, the species classification problem is based on the combination of two different types of data. Herein, 16S rRNA gene sequence data is used for phylogenetic tree inference and the corresponding binary tree splits are learned based on FAME data. We call this learning approach 'phylogenetic learning'. Supervised Random Forest models are developed to train the classification tasks in a stratified cross-validation setting. In this way, better classification results are obtained for species that are typically hard to distinguish by a single or flat multi-class classification model. FAME-based bacterial species classification is successfully evaluated in a taxonomic framework. Although the proposed approach does not improve the overall accuracy compared to flat multi-class classification, it has some distinct advantages. First, it has better capabilities for distinguishing species on which flat multi-class classification fails. Secondly, the hierarchical classification structure allows to easily evaluate and visualize the resolution of FAME data for the discrimination of bacterial

  2. Formative use of select-and-fill-in concept maps in online instruction: Implications for students of different learning styles

    Science.gov (United States)

    Kaminski, Charles William

    The purpose of this research was to investigate the formative use of Select and Fill-In (SAFI) maps in online instruction and the cognitive, metacognitive, and affective responses of students to their use. In particular, the implications of their use with students of different learning styles was considered. The research question investigated in this qualitative study was: How do students of different learning styles respond to online instruction in which SAFI maps are utilized? This question was explored by using an emergent, collective case study. Each case consisted of community college students who shared a dominant learning style and were enrolled in an online course in environmental studies. Cases in the study were determined using Kolb's Learning Style Inventory (LSI). Seven forms of data were collected during the study. During the first phase of data collection, dominant learning style and background information on student experience with concept mapping and online instruction was determined. In the second phase of data collection, participants completed SAFI maps and quiz items that corresponded to the content of the maps. Achievement data on the map activities and quiz and student responses to a post-SAFI survey and questionnaire were recorded to identify learner cognitive, metacognitive, and affective responses to the tasks. Upon completion of data collection, cases were constructed and compared across learning styles. Cases are presented using the trends, across participants sharing the same dominant learning style, in achievement, behaviors and attitudes as seen in the evidence present in the data. Triangulation of multiple data sources increased reliability and validity, through cross-case analyses, and produced a thick description of the relationship between the cases for each learning style. Evidence suggesting a cognitive response to the SAFI tasks was inconsistent across cases. However, learners with an affinity towards reflective learning

  3. Science Achievement in TIMSS Cognitive Domains Based on Learning Styles

    Science.gov (United States)

    Kablan, Zeynel; Kaya, Sibel

    2013-01-01

    Problem Statement: The interest in raising levels of achievement in math and science has led to a focus on investigating the factors that shape achievement in these subjects. Understanding how different learning styles might influence science achievement may guide educators in their efforts to raise achievement. This study is an attempt to examine…

  4. Effects of learning styles on career preferences of senior secondary ...

    African Journals Online (AJOL)

    The research investigated the effects of learning styles on career preferences of senior secondary school students in Jigawa State, Nigeria. A total of six hundred students, three hundred and sixty male, and two hundred and forty female were randomly selected from ten senior secondary schools across the state for the study ...

  5. Internet-Based Assessment of Oncology Health Care Professional Learning Style and Optimization of Materials for Web-Based Learning: Controlled Trial With Concealed Allocation.

    Science.gov (United States)

    Micheel, Christine M; Anderson, Ingrid A; Lee, Patricia; Chen, Sheau-Chiann; Justiss, Katy; Giuse, Nunzia B; Ye, Fei; Kusnoor, Sheila V; Levy, Mia A

    2017-07-25

    Precision medicine has resulted in increasing complexity in the treatment of cancer. Web-based educational materials can help address the needs of oncology health care professionals seeking to understand up-to-date treatment strategies. This study aimed to assess learning styles of oncology health care professionals and to determine whether learning style-tailored educational materials lead to enhanced learning. In all, 21,465 oncology health care professionals were invited by email to participate in the fully automated, parallel group study. Enrollment and follow-up occurred between July 13 and September 7, 2015. Self-enrolled participants took a learning style survey and were assigned to the intervention or control arm using concealed alternating allocation. Participants in the intervention group viewed educational materials consistent with their preferences for learning (reading, listening, and/or watching); participants in the control group viewed educational materials typical of the My Cancer Genome website. Educational materials covered the topic of treatment of metastatic estrogen receptor-positive (ER+) breast cancer using cyclin-dependent kinases 4/6 (CDK4/6) inhibitors. Participant knowledge was assessed immediately before (pretest), immediately after (posttest), and 2 weeks after (follow-up test) review of the educational materials. Study statisticians were blinded to group assignment. A total of 751 participants enrolled in the study. Of these, 367 (48.9%) were allocated to the intervention arm and 384 (51.1%) were allocated to the control arm. Of those allocated to the intervention arm, 256 (69.8%) completed all assessments. Of those allocated to the control arm, 296 (77.1%) completed all assessments. An additional 12 participants were deemed ineligible and one withdrew. Of the 552 participants, 438 (79.3%) self-identified as multimodal learners. The intervention arm showed greater improvement in posttest score compared to the control group (0.4 points

  6. Nurse practitioner preferences for distance education methods related to learning style, course content, and achievement.

    Science.gov (United States)

    Andrusyszyn, M A; Cragg, C E; Humbert, J

    2001-04-01

    The relationships among multiple distance delivery methods, preferred learning style, content, and achievement was sought for primary care nurse practitioner students. A researcher-designed questionnaire was completed by 86 (71%) participants, while 6 engaged in follow-up interviews. The results of the study included: participants preferred learning by "considering the big picture"; "setting own learning plans"; and "focusing on concrete examples." Several positive associations were found: learning on own with learning by reading, and setting own learning plans; small group with learning through discussion; large group with learning new things through hearing and with having learning plans set by others. The most preferred method was print-based material and the least preferred method was audio tape. The most suited method for content included video teleconferencing for counseling, political action, and transcultural issues; and video tape for physical assessment. Convenience, self-direction, and timing of learning were more important than delivery method or learning style. Preferred order of learning was reading, discussing, observing, doing, and reflecting. Recommended considerations when designing distance courses include a mix of delivery methods, specific content, outcomes, learner characteristics, and state of technology.

  7. Using Machine Learning for Land Suitability Classification

    African Journals Online (AJOL)

    User

    West African Journal of Applied Ecology, vol. ... evidence for the utility of machine learning methods in land suitability classification especially MCS methods. ... Artificial intelligence tools. ..... Numerical values of index for the various classes.

  8. Role of Personality Traits, Learning Styles and Metacognition in Predicting Critical Thinking of Undergraduate Students

    Directory of Open Access Journals (Sweden)

    Soliemanifar O

    2015-04-01

    The aim of this study was to investigate the role of personality traits, learning styles and metacognition in predicting critical thinking. Instrument & Methods: In this descriptive correlative study, 240 students (130 girls and 110 boys of Ahvaz Shahid Chamran University were selected by multi-stage random sampling method. The instruments for collecting data were NEO Five-Factor Inventory, learning style inventory of Kolb (LSI, metacognitive assessment inventory (MAI of Schraw & Dennison (1994 and California Critical Thinking Skills Test (CCTST. The data were analyzed using Pearson correlation coefficient, stepwise regression analysis and Canonical correlation analysis.  Findings: Openness to experiment (b=0.41, conscientiousness (b=0.28, abstract conceptualization (b=0.39, active experimentation (b=0.22, reflective observation (b=0.12, knowledge of cognition (b=0.47 and regulation of cognition (b=0.29 were effective in predicting critical thinking. Openness to experiment and conscientiousness (r2=0.25, active experimentation, abstract conceptualization and reflective observation learning styles (r2=0.21 and knowledge and regulation of cognition metacognitions (r2=0.3 had an important role in explaining critical thinking. The linear combination of critical thinking skills (evaluation, analysis, inference was predictable by a linear combination of dispositional-cognitive factors (openness, conscientiousness, abstract conceptualization, active experimentation, knowledge of cognition and regulation of cognition. Conclusion: Personality traits, learning styles and metacognition, as dispositional-cognitive factors, play a significant role in students' critical thinking.

  9. The Costs of Supervised Classification: The Effect of Learning Task on Conceptual Flexibility

    Science.gov (United States)

    Hoffman, Aaron B.; Rehder, Bob

    2010-01-01

    Research has shown that learning a concept via standard supervised classification leads to a focus on diagnostic features, whereas learning by inferring missing features promotes the acquisition of within-category information. Accordingly, we predicted that classification learning would produce a deficit in people's ability to draw "novel…

  10. An Improved Brain-Inspired Emotional Learning Algorithm for Fast Classification

    Directory of Open Access Journals (Sweden)

    Ying Mei

    2017-06-01

    Full Text Available Classification is an important task of machine intelligence in the field of information. The artificial neural network (ANN is widely used for classification. However, the traditional ANN shows slow training speed, and it is hard to meet the real-time requirement for large-scale applications. In this paper, an improved brain-inspired emotional learning (BEL algorithm is proposed for fast classification. The BEL algorithm was put forward to mimic the high speed of the emotional learning mechanism in mammalian brain, which has the superior features of fast learning and low computational complexity. To improve the accuracy of BEL in classification, the genetic algorithm (GA is adopted for optimally tuning the weights and biases of amygdala and orbitofrontal cortex in the BEL neural network. The combinational algorithm named as GA-BEL has been tested on eight University of California at Irvine (UCI datasets and two well-known databases (Japanese Female Facial Expression, Cohn–Kanade. The comparisons of experiments indicate that the proposed GA-BEL is more accurate than the original BEL algorithm, and it is much faster than the traditional algorithm.

  11. Manifold regularized multitask learning for semi-supervised multilabel image classification.

    Science.gov (United States)

    Luo, Yong; Tao, Dacheng; Geng, Bo; Xu, Chao; Maybank, Stephen J

    2013-02-01

    It is a significant challenge to classify images with multiple labels by using only a small number of labeled samples. One option is to learn a binary classifier for each label and use manifold regularization to improve the classification performance by exploring the underlying geometric structure of the data distribution. However, such an approach does not perform well in practice when images from multiple concepts are represented by high-dimensional visual features. Thus, manifold regularization is insufficient to control the model complexity. In this paper, we propose a manifold regularized multitask learning (MRMTL) algorithm. MRMTL learns a discriminative subspace shared by multiple classification tasks by exploiting the common structure of these tasks. It effectively controls the model complexity because different tasks limit one another's search volume, and the manifold regularization ensures that the functions in the shared hypothesis space are smooth along the data manifold. We conduct extensive experiments, on the PASCAL VOC'07 dataset with 20 classes and the MIR dataset with 38 classes, by comparing MRMTL with popular image classification algorithms. The results suggest that MRMTL is effective for image classification.

  12. When Culture and Learning Styles Matter: A Canadian University with Middle-Eastern Students

    Science.gov (United States)

    Lemke-Westcott, Tracey; Johnson, Brad

    2013-01-01

    Transnational branch campuses of universities are a growing phenomenon, particularly in the Middle-East. The cultures of home institutions and host countries are often foreign to each other. The result is a cultural and learning style gap between faculty and students impacting students' learning and teachers' effectiveness. A pilot study of the…

  13. Influence of learning styles on the practical performance after the four-step basic life support training approach - An observational cohort study.

    Science.gov (United States)

    Schröder, Hanna; Henke, Alexandra; Stieger, Lina; Beckers, Stefan; Biermann, Henning; Rossaint, Rolf; Sopka, Saša

    2017-01-01

    Learning and training basic life support (BLS)-especially external chest compressions (ECC) within the BLS-algorithm-are essential resuscitation training for laypersons as well as for health care professionals. The objective of this study was to evaluate the influence of learning styles on the performance of BLS and to identify whether all types of learners are sufficiently addressed by Peyton's four-step approach for BLS training. A study group of first-year medical students (n = 334) without previous medical knowledge was categorized according to learning styles using the German Lernstilinventar questionnaire based on Kolb's Learning Styles Inventory. Students' BLS performances were assessed before and after a four-step BLS training approach lasting 4 hours. Standardized BLS training was provided by an educational staff consisting of European Resuscitation Council-certified advanced life support providers and instructors. Pre- and post-intervention BLS performance was evaluated using a single-rescuer-scenario and standardized questionnaires (6-point-Likert-scales: 1 = completely agree, 6 = completely disagree). The recorded points of measurement were the time to start, depth, and frequency of ECC. The study population was categorized according to learning styles: diverging (5%, n = 16), assimilating (36%, n = 121), converging (41%, n = 138), and accommodating (18%, n = 59). Independent of learning styles, both male and female participants showed significant improvement in cardiopulmonary resuscitation (CPR) performance. Based on the Kolb learning styles, no significant differences between the four groups were observed in compression depth, frequency, time to start CPR, or the checklist-based assessment within the baseline assessment. A significant sex effect on the difference between pre- and post-interventional assessment points was observed for mean compression depth and mean compression frequency. The findings of this work show that the four-step-approach for

  14. Learning Styles Inequity for Small to Micro Firms (SMFs): Social Exclusion through Work-Based E-Learning Practice in Europe

    Science.gov (United States)

    Hardaker, Glenn; Dockery, Richard; Sabki, Aishah

    2007-01-01

    Purpose: The elearn2work study of learning styles in the context of small to micro firms' (SMFs) and their perceived satisfaction has identified some important finding specific to e-learning content design, delivery and international standards development. Design/methodology/approach: The method of research adopts a deductive rather than an…

  15. Exploring Antecedents of Performance Differences on Visual and Verbal Test Items: Learning Styles versus Aptitude

    Science.gov (United States)

    Bacon, Donald R.; Hartley, Steven W.

    2015-01-01

    Many educators and researchers have suggested that some students learn more effectively with visual stimuli (e.g., pictures, graphs), whereas others learn more effectively with verbal information (e.g., text) (Felder & Brent, 2005). In two studies, the present research seeks to improve popular self-reported (indirect) learning style measures…

  16. Reduction of cognitive conflict and learning style impact towards student-teacher's misconception load

    Science.gov (United States)

    A'yun, Kurroti; Suyono, Poedjiastoeti, Sri; Bin-Tahir, Saidna Zulfiqar

    2017-08-01

    The most crucial issue in education is a misconception that is caused by the misconception of the students themselves. Therefore, this study provided the solution to improve the quality of teaching chemistry in the schools through the remediation of misconceptions to the chemistry teacher candidates. This study employed a mixed method approach using concurrent embedded designs where it tended more to the qualitative research, but it still relied on the quantitative research in the assessment of the learning impact. The results of this study were the students with higher levels of cognitive conflict still have high loads of misconceptions (MC), it possibly due to the type of students' learning styles that is the sequential-global balanced. To facilitate the cognitive conflict character and the learning style of sequential-global balanced, the researchers created an integrated worksheet conceptual change with peer learning (WCCPL). The peer learning undertaken in the last stages of conceptual change of WCCPL can increase the resistance of students' concept in a category of knowing the concept significantly, but it should be examined in an in-depth study related to the long-term memory.

  17. Joint Concept Correlation and Feature-Concept Relevance Learning for Multilabel Classification.

    Science.gov (United States)

    Zhao, Xiaowei; Ma, Zhigang; Li, Zhi; Li, Zhihui

    2018-02-01

    In recent years, multilabel classification has attracted significant attention in multimedia annotation. However, most of the multilabel classification methods focus only on the inherent correlations existing among multiple labels and concepts and ignore the relevance between features and the target concepts. To obtain more robust multilabel classification results, we propose a new multilabel classification method aiming to capture the correlations among multiple concepts by leveraging hypergraph that is proved to be beneficial for relational learning. Moreover, we consider mining feature-concept relevance, which is often overlooked by many multilabel learning algorithms. To better show the feature-concept relevance, we impose a sparsity constraint on the proposed method. We compare the proposed method with several other multilabel classification methods and evaluate the classification performance by mean average precision on several data sets. The experimental results show that the proposed method outperforms the state-of-the-art methods.

  18. Large-Scale Machine Learning for Classification and Search

    Science.gov (United States)

    Liu, Wei

    2012-01-01

    With the rapid development of the Internet, nowadays tremendous amounts of data including images and videos, up to millions or billions, can be collected for training machine learning models. Inspired by this trend, this thesis is dedicated to developing large-scale machine learning techniques for the purpose of making classification and nearest…

  19. EEG Eye State Identification Using Incremental Attribute Learning with Time-Series Classification

    Directory of Open Access Journals (Sweden)

    Ting Wang

    2014-01-01

    Full Text Available Eye state identification is a kind of common time-series classification problem which is also a hot spot in recent research. Electroencephalography (EEG is widely used in eye state classification to detect human's cognition state. Previous research has validated the feasibility of machine learning and statistical approaches for EEG eye state classification. This paper aims to propose a novel approach for EEG eye state identification using incremental attribute learning (IAL based on neural networks. IAL is a novel machine learning strategy which gradually imports and trains features one by one. Previous studies have verified that such an approach is applicable for solving a number of pattern recognition problems. However, in these previous works, little research on IAL focused on its application to time-series problems. Therefore, it is still unknown whether IAL can be employed to cope with time-series problems like EEG eye state classification. Experimental results in this study demonstrates that, with proper feature extraction and feature ordering, IAL can not only efficiently cope with time-series classification problems, but also exhibit better classification performance in terms of classification error rates in comparison with conventional and some other approaches.

  20. INTERACTION ASPECTS OF DOMINANT STYLES: OF TEACHING AND OF AUTHORITY

    Directory of Open Access Journals (Sweden)

    Cristian PETRE

    2014-04-01

    Full Text Available Problem Statement. Teaching style is the expression (form of expression of preferred behavioral modalities who return with some regularity in the work of teacher (E.Geissler, Purpose of Study. The intention of this paper is to identify a pattern of expression interact between two dimensions-professional of primary school teachers: the dominant teaching style and the dominant authority type of each teacher. I opted for a classification according to the particular act of communication: emotional-improvising style, emotional-methodical style, rational-improvising style and rational-methodical style. Methods. To identify the dominant teaching style was built a questionnaire consisting of 16 questions. The second questionnaire was proposed for a self-evaluative kind of authority expressed in the daily professional work. To identify the dominant type of authority were updated two classifications: traditional axis authoritarian - democratic - laissez-faire and a classification inspired by John RP French and B. Raven expert authority, rewards, position and personal. In this investigation were involved 30 teachers for primary education. Findings and Results. Exists a moderate correlation between rational-improvising style and authoritarian and position styles of authority. Also, indicates significant statistical connection between rational-improviser teaching style and authoritarian, democratic and expert teacher’s authority. The indexes indicate statistical connections moderate correlation between rational-methodical style and personal authority. The indexes of correlation indicates significant statistical link between emotional-improvisational style teaching styles and reward and expert authority. The indexes indicate statistical connections moderate correlation between emotional-style improvisation and styles of authority laissez-faire, and his model.