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Sample records for learning environment preferences

  1. Students’ Preferred Characteristics of Learning Environments in Vocational Secondary Education

    OpenAIRE

    Ingeborg Placklé; Karen D. Könings; Wolfgang Jacquet; Katrien Struyven; Arno Libotton; Jeroen J. G. van Merriënboer; Nadine Engels

    2014-01-01

    If teachers and teacher educators are willing to support the learning of students, it is important for them to learn what motivates students to engage in learning. Students have their own preferences on design characteristics of powerful learning environments in vocational education. We developed an instrument – the Inventory Powerful Learning Environments in Vocational Education - to measure students’ preferences on characteristics of powerful learning environments in vocational education. W...

  2. Students Preferred Characteristics of Learning Environments in Vocational Secondary Education

    OpenAIRE

    Placklé, Ingeborg

    2014-01-01

    If teachers and teacher educators are willing to support the learning of students, it is important for them to learn what motivates students to engage in learning. Students have their own preferences on design characteristics of powerful learning environments in vocational education. We developed an instrument - the Inventory Powerful Learning Environments in Vocational Education - to measure studentsâ preferences on characteristics of powerful learning environments in voca-tional education. ...

  3. Students’ Preferred Characteristics of Learning Environments in Vocational Secondary Education

    Directory of Open Access Journals (Sweden)

    Ingeborg Placklé

    2014-12-01

    Full Text Available If teachers and teacher educators are willing to support the learning of students, it is important for them to learn what motivates students to engage in learning. Students have their own preferences on design characteristics of powerful learning environments in vocational education. We developed an instrument - the Inventory Powerful Learning Environments in Vocational Education - to measure students’ preferences on characteristics of powerful learning environments in vocational education. We investigated whether student preferences on the design of their learning environments are in line with what is described in the literature as beneficial for learning. Data of 544 students show that the preferences of students support most characteristics of PLEs in vocational education. Looking through the eyes of students, teachers have to challenge their students and encourage them to take their learning in their own hands. Adaptive learning support is needed. Remarkable, students do not prefer having reflective dialogues with teachers or peers.

  4. Students' Preferred Characteristics of Learning Environments in Vocational Secondary Education

    Science.gov (United States)

    Placklé, Ingeborg; Könings, Karen D.; Jacquet, Wolfgang; Struyven, Katrien; Libotton, Arno; van Merriënboer, Jeroen J. G.; Engels, Nadine

    2014-01-01

    If teachers and teacher educators are willing to support the learning of students, it is important for them to learn what motivates students to engage in learning. Students have their own preferences on design characteristics of powerful learning environments in vocational education. We developed an instrument--the Inventory Powerful Learning…

  5. Student-Centred Learning Environments: An Investigation into Student Teachers' Instructional Preferences and Approaches to Learning

    Science.gov (United States)

    Baeten, Marlies; Dochy, Filip; Struyven, Katrien; Parmentier, Emmeline; Vanderbruggen, Anne

    2016-01-01

    The use of student-centred learning environments in education has increased. This study investigated student teachers' instructional preferences for these learning environments and how these preferences are related to their approaches to learning. Participants were professional Bachelor students in teacher education. Instructional preferences and…

  6. Smile: Student Modification in Learning Environments. Establishing Congruence between Actual and Preferred Classroom Learning Environment.

    Science.gov (United States)

    Yarrow, Allan; Millwater, Jan

    1995-01-01

    This study investigated whether classroom psychosocial environment, as perceived by student teachers, could be improved to their preferred level. Students completed the College and University Classroom Environment Inventory, discussed interventions, then completed it again. Significant deficiencies surfaced in the learning environment early in the…

  7. Students' Preferred Characteristics of Learning Environments in Vocational Secondary Education

    Science.gov (United States)

    Placklé, Ingeborg; Könings, Karen D.; Jacquet, Wolfgang; Struyven, Katrien; Libotton, Arno; van Merriënboer, Jeroen J. G.; Engels, Nadine

    2014-01-01

    If teachers and teacher educators are willing to support the learning of students, it is important for them to learn what motivates students to engage in learning. Students have their own preferences on design characteristics of powerful learning environments in vocational education. We developed an instrument - the Inventory Powerful Learning…

  8. Learning environment, approaches to learning and learning preferences: medical students versus general education students.

    Science.gov (United States)

    Ullah, Raza

    2016-05-01

    The main objective of the study was to see whether medical students use more desirable approaches to studying than general education students. Survey method was used to collect data from both the medical students and the general education students. The survey of the medical students was carried out between January and March, 2012. The survey was administered to all the medical students present in lecture halls on day of data collection, while general education students were randomly selected from four subject areas at two universities. In total, 976 medical students and 912 general students participated in the study. Of the general students, 494(54%) were boys and 418(46%)were girls with an overall mean age of 20.53±1.77 years (range: 17-27 years). The medical students' perceptions of their learning environment and their learning preferences were broadly similar to that of general education students with the exception of workload. The medical students perceived the workload to be less appropriate (Mean = 2.06±0.72) than the students in general education (Mean = 2.84±0.90). The medical students were more likely to use the deep approach to studying (Mean = 3.66±0.59) than the students in general education (Mean = 3.16±0.91). The students in general education were slightly more likely to use the organized studying (Mean = 3.44±0.90) than the medical students (Mean =3.23±0.90). Both medical students and the students in general education tended to use the surface approaches along with other approaches to studying. There was not a great difference between the medical students and the students pursuing general education with regard to perceptions of the learning environment and approaches to learning.

  9. Effects of congruence between preferred and perceived learning environments in nursing education in Taiwan: a cross-sectional study.

    Science.gov (United States)

    Yeh, Ting-Kuang; Huang, Hsiu-Mei; Chan, Wing P; Chang, Chun-Yen

    2016-05-20

    To investigate the effects of congruence between preferred and perceived learning environments on learning outcomes of nursing students. A nursing course at a university in central Taiwan. 124 Taiwanese nursing students enrolled in a 13-week problem-based Fundamental Nursing curriculum. Students' preferred learning environment, perceptions about the learning environment and learning outcomes (knowledge, self-efficacy and attitudes) were assessed. On the basis of test scores measuring their preferred and perceived learning environments, students were assigned to one of two groups: a 'preferred environment aligned with perceived learning environment' group and a 'preferred environment discordant with perceived learning environment' group. Learning outcomes were analysed by group. Most participants preferred learning in a classroom environment that combined problem-based and lecture-based instruction. However, a mismatch of problem-based instruction with students' perceptions occurred. Learning outcomes were significantly better when students' perceptions of their instructional activities were congruent with their preferred learning environment. As problem-based learning becomes a focus of educational reform in nursing, teachers need to be aware of students' preferences and perceptions of the learning environment. Teachers may also need to improve the match between an individual student's perception and a teacher's intention in the learning environment, and between the student's preferred and actual perceptions of the learning environment. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

  10. Practice education learning environments: the mismatch between perceived and preferred expectations of undergraduate health science students.

    Science.gov (United States)

    Brown, Ted; Williams, Brett; McKenna, Lisa; Palermo, Claire; McCall, Louise; Roller, Louis; Hewitt, Lesley; Molloy, Liz; Baird, Marilyn; Aldabah, Ligal

    2011-11-01

    Practical hands-on learning opportunities are viewed as a vital component of the education of health science students, but there is a critical shortage of fieldwork placement experiences. It is therefore important that these clinical learning environments are well suited to students' perceptions and expectations. To investigate how undergraduate students enrolled in health-related education programs view their clinical learning environments and specifically to compare students' perception of their 'actual' clinical learning environment to that of their 'preferred/ideal' clinical learning environment. The Clinical Learning Environment Inventory (CLEI) was used to collect data from 548 undergraduate students (55% response rate) enrolled in all year levels of paramedics, midwifery, radiography and medical imaging, occupational therapy, pharmacy, nutrition and dietetics, physiotherapy and social work at Monash University via convenience sampling. Students were asked to rate their perception of the clinical learning environment at the completion of their placements using the CLEI. Satisfaction of the students enrolled in the health-related disciplines was closely linked with the five constructs measured by the CLEI: Personalization, Student Involvement, Task Orientation, Innovation, and Individualization. Significant differences were found between the student's perception of their 'actual' clinical learning environment and their 'ideal' clinical learning environment. The study highlights the importance of a supportive clinical learning environment that places emphasis on effective two-way communication. A thorough understanding of students' perceptions of their clinical learning environments is essential. Copyright © 2010 Elsevier Ltd. All rights reserved.

  11. Linkages between motivation, self-efficacy, self-regulated learning and preferences for traditional learning environments or those with an online component

    Directory of Open Access Journals (Sweden)

    Daniel Auld

    2010-10-01

    Full Text Available This study assessed 96 law school students’ preferences for online, hybrid, or traditional learning environments, and their reasons for these preferences, learning strategies, and motivational orientations. A discriminant analysis revealed that non-traditional learning environment familiarity, self-efficacy, and employment status were the strongest predictors of preferences for non-traditional learning environments. Preferences for traditional environments were attributed to students’ familiarity and ability to engage in and foster personal interaction. Preferences for hybrid and online environments were attributed to opportunities for enhanced learning given the convenience and flexible manner in which students with time and familial constraints could access these environments.

  12. PREFERENCES ON INTERNET BASED LEARNING ENVIRONMENTS IN STUDENT-CENTERED EDUCATION

    Directory of Open Access Journals (Sweden)

    Zuhal CUBUKCU

    2008-10-01

    Full Text Available Nowadays, educational systems are being questionned to find effective solutions to problems that are being encountered, and discussions are centered around the ways of restructuring systems so as to overcome difficulties. As the consequences of the traditional teaching approach, we can indicate that the taught material is not long-lasting but easily forgotten, that students do not sufficiently acquire the knowledge and skills that are aimed at developing, and that students lack transferring their knowledge to real life. In our current situation, individuals prefer to use educational resources where and when they want, based on their individual skills and abilities. Throughout the world, because the internet infrastructure has developed quite rapidly, it has been offered as an alternative way for a rich learning and teaching environment. This study aims at determining teacher candidates’ preferences regarding internet-based learning environments in student-centered education by involving the teacher candidates enrolled at Osmangazi University, Faculty of Education, Primary School Teaching, Mathematics Teaching and Computer and Educational Technologies Education programmes. This study is a descriptive study. The data collection scale consists of the “Constructivist Internet-based Education of Science Scale (CILES-S”. The sample group of teacher candidates in the study showed differences with respect to their preferences regarding internet-based learning in student-centered education. The candidates scored higher in the internet-based learning environments of Cognitive Development and Critical Judgement. The lowest average scores of the sample group were observed in the internet-based learning environment of Episthemologic awareness.

  13. Ethics teaching in a medical education environment: preferences for diversity of learning and assessment methods.

    Science.gov (United States)

    AlMahmoud, Tahra; Hashim, M Jawad; Elzubeir, Margaret Ann; Branicki, Frank

    2017-01-01

    Ethics and professionalism are an integral part of medical school curricula; however, medical students' views on these topics have not been assessed in many countries.  The study aimed to examine medical students' perceptions toward ethics and professionalism teaching, and its learning and assessment methods. A self-administered questionnaire eliciting views on professionalism and ethics education was distributed to a total of 128 final-year medical students. A total of 108 students completed the survey, with an 84% response rate. Medical students reported frequently encountering ethical conflicts during training but stated only a moderate level of ethics training at medical school (mean = 5.14 ± 1.8). They noted that their education had helped somewhat to deal with ethical conflicts (mean = 5.39 ± 2.0). Students strongly affirmed the importance of ethics education (mean = 7.63 ± 1.03) and endorsed the value of positive role models (mean = 7.45 ± 1.5) as the preferred learning method. The cohort voiced interest in direct faculty supervision as an approach to assessment of knowledge and skills (mean = 7.62 ± 1.26). Female students perceived greater need for more ethics education compared to males (p = methods for learning.

  14. Evaluating the Influence of Past Gaming Experience on Learner Preferences and Motivation to Learn in a Military Training Environment

    Science.gov (United States)

    2009-03-01

    increased preference for hands-on training. To investigate this theory , a preferred learning style measure was required. An in-depth review of the...Applications. Journal of Applied Psychology, Vol. 78, No. 1 , 98-104. Donald, J. (2005). Voting with Your Hands: GIS and Experiential Learning . Coates...high. Retrieved Jan 24, 2009, from Ipsos News Center: http://www.ipsos- na.com/news/pressrelease.cfm?id=3124 Kolb , D. A. (1984). Experiential

  15. Learning style preferences of surgical residency applicants.

    Science.gov (United States)

    Kim, Roger H; Gilbert, Timothy

    2015-09-01

    (214.5, P = 0.008) preferences, whereas applicants with visual preferences had higher USMLE 1 scores (230.0) than those with kinesthetic preferences (P = 0.047). Applicants with aural preferences also had higher USMLE 2 scores (249.6) than those with kinesthetic (227.6, P = 0.006) or multimodal (230.1, P = 0.008) preferences. Most applicants to general surgery residency have a multimodal learning style preference. Learning style preferences are associated with higher USMLE step 1 and step 2 scores, in particular for applicants with aural preferences. Students who performed well in lecture-dominated medical school environments because of their aural preferences could be at a disadvantage in the more independent, reading-focused learning environments of surgical residency. Copyright © 2015 Elsevier Inc. All rights reserved.

  16. Teacher Communication Preferred over Peer Interaction: Student Satisfaction with Different Tools in a Virtual Learning Environment

    Science.gov (United States)

    Small, Felicity; Dowell, David; Simmons, Peter

    2012-01-01

    Purpose: Teachers have access to a growing range of online tools to support course delivery, but which ones are valued by students? Expectations and satisfaction are important constructs in the delivery of a service product, and how these constructs operate in a service environment, such as education where the student can also take on the role of…

  17. The Relationship between Pre-Service Science Teachers' Epistemological Beliefs and Preferences for Creating a Constructivist Learning Environment

    Science.gov (United States)

    Saylan, Asli; Armagan, Fulya Öner; Bektas, Oktay

    2016-01-01

    The present study investigated the relationship between pre-service science teachers' epistemological beliefs and perceptions of a constructivist learning environment. The Turkish version of Constructivist Learning Environment Survey and Schommer's Epistemological Belief Questionnaire were administered to 531 pre-service science teachers attending…

  18. Nursing Students’ Preferred Learning Styles

    Directory of Open Access Journals (Sweden)

    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

  19. 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…

  20. Preference Learning and Ranking by Pairwise Comparison

    Science.gov (United States)

    Fürnkranz, Johannes; Hüllermeier, Eyke

    This chapter provides an overview of recent work on preference learning and ranking via pairwise classification. The learning by pairwise comparison (LPC) paradigm is the natural machine learning counterpart to the relational approach to preference modeling and decision making. From a machine learning point of view, LPC is especially appealing as it decomposes a possibly complex prediction problem into a certain number of learning problems of the simplest type, namely binary classification. We explain how to approach different preference learning problems, such as label and instance ranking, within the framework of LPC. We primarily focus on methodological aspects, but also address theoretical questions as well as algorithmic and complexity issues.

  1. Learning space preferences of higher education students

    NARCIS (Netherlands)

    Beckers, R.; van der Voordt, Theo; Dewulf, G

    2016-01-01

    This paper aims to address higher education students' learning space preferences. The study is based on a survey that involved 697 business management students of a Dutch University of Applied Sciences. The research focuses on preferred learning spaces for individual study activities, which

  2. Learning space preferences of higher education students

    NARCIS (Netherlands)

    Beckers, Ronald; van der Voordt, Theo; Dewulf, Geert P.M.R.

    2016-01-01

    This paper aims to address higher education students’ learning space preferences. The study is based on a survey that involved 697 business management students of a Dutch University of Applied Sciences. The research focuses on preferred learning spaces for individual study activities, which require

  3. 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…

  4. Learning Networks Distributed Environment

    NARCIS (Netherlands)

    Martens, Harrie; Vogten, Hubert; Koper, Rob; Tattersall, Colin; Van Rosmalen, Peter; Sloep, Peter; Van Bruggen, Jan; Spoelstra, Howard

    2005-01-01

    Learning Networks Distributed Environment is a prototype of an architecture that allows the sharing and modification of learning materials through a number of transport protocols. The prototype implements a p2p protcol using JXTA.

  5. Pervasive Learning Environments

    DEFF Research Database (Denmark)

    Hundebøl, Jesper; Helms, Niels Henrik

    2006-01-01

    The potentials of pervasive communication in learning within industry and education are right now being explored through different R&D projects. This paper outlines the background for and the possible learning potentials in what we describe as pervasive learning environments (PLE). PLE?s differ...... from virtual learning environments (VLE) primarily because in PLE?s the learning content is very much related to the actual context in which the learner finds himself. Two local (Denmark) cases illustrate various aspects of pervasive learning. One is the eBag, a pervasive digital portfolio used...

  6. Learning User Preferences for Sets of Objects

    Science.gov (United States)

    desJardins, Marie; Eaton, Eric; Wagstaff, Kiri L.

    2006-01-01

    Most work on preference learning has focused on pairwise preferences or rankings over individual items. In this paper, we present a method for learning preferences over sets of items. Our learning method takes as input a collection of positive examples--that is, one or more sets that have been identified by a user as desirable. Kernel density estimation is used to estimate the value function for individual items, and the desired set diversity is estimated from the average set diversity observed in the collection. Since this is a new learning problem, we introduce a new evaluation methodology and evaluate the learning method on two data collections: synthetic blocks-world data and a new real-world music data collection that we have gathered.

  7. Designing Creative Learning Environments

    Directory of Open Access Journals (Sweden)

    Thomas Cochrane

    2015-05-01

    Full Text Available Designing creative learning environments involves not only facilitating student creativity, but also modeling creative pedagogical practice. In this paper we explore the implementation of a framework for designing creative learning environments using mobile social media as a catalyst for redefining both lecturer pedagogical practice, as well as redesigning the curriculum around student generated m-portfolios.

  8. Pupils Learning Preferences and Interest Development in Learning

    Science.gov (United States)

    Arikpo, Ofem U.; Domike, Grace

    2015-01-01

    This paper presents an overview of the extent pupils learning preference and interest development influences their learning in schools. Interest is refers to an individual's relatively enduring psychological predisposition (preference) to re-engage in particular classes of objects, available evidence indicates that, there are many factors that…

  9. Pervasive Learning Environments

    DEFF Research Database (Denmark)

    Hundebøl, Jesper; Helms, Niels Henrik

    in schools. The other is moreover related to work based learning in that it foresees a community of practitioners accessing, sharing and adding to knowledge and learning objects held within a pervasive business intelligence system. Limitations and needed developments of these and other systems are discussed......Abstract: The potentials of pervasive communication in learning within industry and education are right know being explored through different R&D projects. This paper outlines the background for and the possible learning potentials in what we describe as pervasive learning environments (PLE). PLE......'s differ from virtual learning environments (VLE) primarily because in PLE's the learning content is very much related to the actual context in which the learner finds himself. Two local (Denmark) cases illustrate various aspects of pervasive learning. One is the eBag, a pervasive digital portfolio used...

  10. Pervasive Learning Environments

    DEFF Research Database (Denmark)

    Helms, Niels Henrik; Hundebøl, Jesper

    2006-01-01

    The potentials of pervasive communication in learning within industry and education are right know being explored through different R&D projects. This paper outlines the background for and the possible learning potentials in what we describe as pervasive learning environments (PLE). PLE's differ...... from virtual learning environments (VLE) primarily because in PLE's the learning content is very much related to the actual context in which the learner finds himself. Two local (Denmark) cases illustrate various aspects of pervasive learning. One is the eBag, a pervasive digital portfolio used...... in schools. The other is moreover related to work based learning in that it foresees a community of practitioners accessing, sharing and adding to knowledge and learning objects held within a pervasive business intelligence system. Limitations and needed developments of these and other systems are discussed...

  11. Preschoolers prefer to learn causal information

    Directory of Open Access Journals (Sweden)

    Aubry eAlvarez

    2015-02-01

    Full Text Available Young children, in general, appear to have a strong drive to explore the environment in ways that reveal its underlying causal structure. But are they really attuned specifically to casual information in this quest for understanding, or do they show equal interest in other types of non-obvious information about the world? To answer this question, we introduced 20 three-year-old children to two puppets who were anxious to tell the child about a set of novel artifacts and animals. One puppet consistently described causal properties of the items while the other puppet consistently described carefully matched non-causal properties of the same items. After a familiarization period in which children learned which type of information to expect from each informant, children were given the opportunity to choose which they wanted to hear describe each of eight pictured test items. On average, children chose to hear from the informant that provided causal descriptions on 72% of the trials. This preference for causal information has important implications for explaining the role of conceptual information in supporting early learning and may suggest means for maximizing interest and motivation in young children.

  12. Learning environment, learning styles and conceptual understanding

    Science.gov (United States)

    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. The VREST learning environment.

    Science.gov (United States)

    Kunst, E E; Geelkerken, R H; Sanders, A J B

    2005-01-01

    The VREST learning environment is an integrated architecture to improve the education of health care professionals. It is a combination of a learning, content and assessment management system based on virtual reality. The generic architecture is now being build and tested around the Lichtenstein protocol for hernia inguinalis repair.

  14. Students' Media Preferences in Online Learning

    Science.gov (United States)

    Kobayashi, Michiko

    2017-01-01

    This study examined students' preferred media in online learning and its relationship with learner characteristics and online technology self-efficacy. One hundred six college students in a mid-size U.S. university responded to a survey. The frequency analysis showed that students did not necessarily favor rich media over lean media in online…

  15. Students’ digital learning environments

    DEFF Research Database (Denmark)

    Caviglia, Francesco; Dalsgaard, Christian; Davidsen, Jacob

    2018-01-01

    The objective of the paper is to examine the nature of students’ digital learning environments to understand the interplay of institutional systems and tools that are managed by the students themselves. The paper is based on a study of 128 students’ digital learning environments. The objectives...... used tools in the students’ digital learning environments are Facebook, Google Drive, tools for taking notes, and institutional systems. Additionally, the study shows that the tools meet some very basic demands of the students in relation to collaboration, communication, and feedback. Finally...... of the study are 1) to provide an overview of tools for students’ study activities, 2) to identify the most used and most important tools for students and 3) to discover which activities the tools are used for. The empirical study reveals that the students have a varied use of digital media. Some of the most...

  16. Students’ Media Preferences in Online Learning

    Directory of Open Access Journals (Sweden)

    Michiko KOBAYASHI

    2017-07-01

    Full Text Available This study examined students’ preferred media in online learning and its relationship with learner characteristics and online technology self-efficacy. One hundred six college students in a mid-size U.S. university responded to a survey. The frequency analysis showed that students did not necessarily favor rich media over lean media in online learning. They preferred recorded online slide presentations with audio to Internet-based live video lectures in two-way video and audio interactions. Online discussion boards and chat groups were less favored than other types of media. As expected, online technology self-efficacy was correlated with a type of media requiring a relatively higher level of technology skills. The paper presents the results and discusses their implications of the study.

  17. Explanatory Preferences Shape Learning and Inference.

    Science.gov (United States)

    Lombrozo, Tania

    2016-10-01

    Explanations play an important role in learning and inference. People often learn by seeking explanations, and they assess the viability of hypotheses by considering how well they explain the data. An emerging body of work reveals that both children and adults have strong and systematic intuitions about what constitutes a good explanation, and that these explanatory preferences have a systematic impact on explanation-based processes. In particular, people favor explanations that are simple and broad, with the consequence that engaging in explanation can shape learning and inference by leading people to seek patterns and favor hypotheses that support broad and simple explanations. Given the prevalence of explanation in everyday cognition, understanding explanation is therefore crucial to understanding learning and inference. Copyright © 2016 Elsevier Ltd. All rights reserved.

  18. Designing Virtual Learning Environments

    DEFF Research Database (Denmark)

    Veirum, Niels Einar

    2003-01-01

    The main objective of this working paper is to present a conceptual model for media integrated communication in virtual learning environments. The model for media integrated communication is very simple and identifies the necessary building blocks for virtual place making in a synthesis of methods...

  19. Students’ digital learning environments

    DEFF Research Database (Denmark)

    Caviglia, Francesco; Dalsgaard, Christian; Davidsen, Jacob

    2018-01-01

    used tools in the students’ digital learning environments are Facebook, Google Drive, tools for taking notes, and institutional systems. Additionally, the study shows that the tools meet some very basic demands of the students in relation to collaboration, communication, and feedback. Finally...

  20. Young Children's Color Preferences in the Interior Environment

    Science.gov (United States)

    Read, Marilyn A.; Upington, Deborah

    2009-01-01

    This study focuses on children's color preferences in the interior environment. Previous studies highlight young children's preferences for the colors red and blue. The methods of this study used a rank ordering technique and a semi-structured interview process with 3-, 4-, and 5-year-old children. Findings reveal that children prefer the color…

  1. 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.

  2. Students’ digital learning environments

    DEFF Research Database (Denmark)

    Caviglia, Francesco; Dalsgaard, Christian; Davidsen, Jacob

    2018-01-01

    of the study are 1) to provide an overview of tools for students’ study activities, 2) to identify the most used and most important tools for students and 3) to discover which activities the tools are used for. The empirical study reveals that the students have a varied use of digital media. Some of the most......, the study shows that most of the important tools are not related to the systems provided by the educational institutions. Based on the study, the paper concludes with a discussion of how institutional systems connect to the other tools in the students’ practices, and how we can qualify students’ digital......The objective of the paper is to examine the nature of students’ digital learning environments to understand the interplay of institutional systems and tools that are managed by the students themselves. The paper is based on a study of 128 students’ digital learning environments. The objectives...

  3. Evolving Random Forest for Preference Learning

    DEFF Research Database (Denmark)

    Abou-Zleikha, Mohamed; Shaker, Noor

    2015-01-01

    This paper introduces a novel approach for pairwise preference learning through a combination of an evolutionary method and random forest. Grammatical evolution is used to describe the structure of the trees in the Random Forest (RF) and to handle the process of evolution. Evolved random forests ...... obtained for predicting pairwise self-reports of users for the three emotional states engagement, frustration and challenge show very promising results that are comparable and in some cases superior to those obtained from state-of-the-art methods....

  4. Collaborations in Open Learning Environments

    NARCIS (Netherlands)

    Spoelstra, Howard

    2015-01-01

    This thesis researches automated services for professionals aiming at starting collaborative learning projects in open learning environments, such as MOOCs. It investigates the theoretical backgrounds of team formation for collaborative learning. Based on the outcomes, a model is developed

  5. SCAFFOLDING IN CONNECTIVIST MOBILE LEARNING ENVIRONMENT

    Directory of Open Access Journals (Sweden)

    Ozlem OZAN

    2013-04-01

    Full Text Available Social networks and mobile technologies are transforming learning ecology. In this changing learning environment, we find a variety of new learner needs. The aim of this study is to investigate how to provide scaffolding to the learners in connectivist mobile learning environment: Ø to learn in a networked environment, Ø to manage their networked learning process, Ø to interact in a networked society, and Ø to use the tools belonging to the network society. The researcher described how Vygotsky's “scaffolding” concept, Berge’s “learner support” strategies, and Siemens’ “connectivism” approach can be used together to satisfy mobile learners’ needs. A connectivist mobile learning environment was designed for the research, and the research was executed as a mixed-method study. Data collection tools were Facebook wall entries, personal messages, chat records; Twitter, Diigo, blog entries; emails, mobile learning management system statistics, perceived learning survey and demographic information survey. Results showed that there were four major aspects of scaffolding in connectivist mobile learning environment as type of it, provider of it, and timing of it and strategies of it. Participants preferred mostly social scaffolding, and then preferred respectively, managerial, instructional and technical scaffolding. Social scaffolding was mostly provided by peers, and managerial scaffolding was mostly provided by instructor. Use of mobile devices increased the learner motivation and interest. Some participants stated that learning was more permanent by using mobile technologies. Social networks and mobile technologies made it easier to manage the learning process and expressed a positive impact on perceived learning.

  6. 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...

  7. Preference learning for cognitive modeling: a case study on entertainment preferences

    DEFF Research Database (Denmark)

    Yannakakis, Georgios; Maragoudakis, Manolis; Hallam, John

    2009-01-01

    Learning from preferences, which provide means for expressing a subject's desires, constitutes an important topic in machine learning research. This paper presents a comparative study of four alternative instance preference learning algorithms (both linear and nonlinear). The case study...... investigated is to learn to predict the expressed entertainment preferences of children when playing physical games built on their personalized playing features (entertainment modeling). Two of the approaches are derived from the literature--the large-margin algorithm (LMA) and preference learning...... with Gaussian processes--while the remaining two are custom-designed approaches for the problem under investigation: meta-LMA and neuroevolution. Preference learning techniques are combined with feature set selection methods permitting the construction of effective preference models, given suitable individual...

  8. 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.

  9. The Integration of Personal Learning Environments & Open Network Learning Environments

    Science.gov (United States)

    Tu, Chih-Hsiung; Sujo-Montes, Laura; Yen, Cherng-Jyh; Chan, Junn-Yih; Blocher, Michael

    2012-01-01

    Learning management systems traditionally provide structures to guide online learners to achieve their learning goals. Web 2.0 technology empowers learners to create, share, and organize their personal learning environments in open network environments; and allows learners to engage in social networking and collaborating activities. Advanced…

  10. Judgments of Learning in Collaborative Learning Environments

    NARCIS (Netherlands)

    Helsdingen, Anne

    2010-01-01

    Helsdingen, A. S. (2010, March). Judgments of Learning in Collaborative Learning Environments. Poster presented at the 1st International Air Transport and Operations Symposium (ATOS 2010), Delft, The Netherlands: Delft University of Technology.

  11. Creating a flexible learning environment.

    Science.gov (United States)

    Taylor, B A; Jones, S; Winters, P

    1990-01-01

    Lack of classroom space is a common problem for many hospital-based nurse educators. This article describes how nursing educators in one institution redesigned fixed classroom space into a flexible learning center that accommodates their various programs. Using the nursing process, the educators assessed their needs, planned the learning environment, implemented changes in the interior design, and evaluated the outcome of the project. The result was a learning environment conducive to teaching and learning.

  12. Blended Learning in Personalized Assistive Learning Environments

    Science.gov (United States)

    Marinagi, Catherine; Skourlas, Christos

    2013-01-01

    In this paper, the special needs/requirements of disabled students and cost-benefits for applying blended learning in Personalized Educational Learning Environments (PELE) in Higher Education are studied. The authors describe how blended learning can form an attractive and helpful framework for assisting Deaf and Hard-of-Hearing (D-HH) students to…

  13. Responding to Students' Learning Preferences in Chemistry

    Science.gov (United States)

    Lewthwaite, Brian; Wiebe, Rick

    2014-04-01

    This paper reports on a teacher's and his students' responsiveness to a new tetrahedral-oriented (Mahaffy in J Chem Educ 83(1):49-55, 2006) curriculum requiring more discursive classroom practices in the teaching of chemistry. In this instrumental case study, we identify the intentions of this learner-centered curriculum and a teacher's development in response to this curriculum. We also explore the tensions this teacher experiences as students subsequently respond to his adjusted teaching. We use a Chemistry Teacher Inventory (Lewthwaite and Wiebe in Res Sci Educ 40(11):667-689, 2011; Lewthwaite and Wiebe in Can J Math Sci Technol Educ 12(1):36-61, 2012; Lewthwaite in Chem Educ Res Pract. doi:10.1039/C3RP00122A, 2014) to assist the teacher in monitoring how he teaches and how he would like to improve his teaching. We also use a student form of the instrument, the Chemistry Classroom Inventory and Classroom Observation Protocol (Lewthwaite and Wiebe 2011) to verify the teacher's teaching and perception of student preferences for his teaching especially in terms of the discursive processes the curriculum encourages. By so doing, the teacher is able to use both sets of data as a foundation for critical reflection and work towards resolution of the incongruence in data arising from students' preferred learning orientations and his teaching aspirations. Implications of this study in regards to the authority of students' voice in triggering teachers' pedagogical change and the adjustments in `teachering' and `studenting' required by such curricula are considered.

  14. Assessing Adult Learning Preferences Using the Analytic Hierarchy Process.

    Science.gov (United States)

    Lee, Doris; McCool, John; Napieralski, Laura

    2000-01-01

    Graduate students (n=134) used the analytic hierarchy process, which weights expressed preferences, to rate four learning activities: lectures, discussion/reflection, individual projects, and group projects. Their preferences for discussion/reflection and individual projects were independent of auditory, visual, and kinesthetic learning styles.…

  15. 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…

  16. Designing Learning Resources in Synchronous Learning Environments

    DEFF Research Database (Denmark)

    Christiansen, Rene B

    2015-01-01

    Computer-mediated Communication (CMC) and synchronous learning environments offer new solutions for teachers and students that transcend the singular one-way transmission of content knowledge from teacher to student. CMC makes it possible not only to teach computer mediated but also to design...... and create new learning resources targeted to a specific group of learners. This paper addresses the possibilities of designing learning resources within synchronous learning environments. The empirical basis is a cross-country study involving students and teachers in primary schools in three Nordic...... Countries (Denmark, Sweden and Norway). On the basis of these empirical studies a set of design examples is drawn with the purpose of showing how the design fulfills the dual purpose of functioning as a remote, synchronous learning environment and - using the learning materials used and recordings...

  17. Learning Environment and Student Effort

    Science.gov (United States)

    Hopland, Arnt O.; Nyhus, Ole Henning

    2016-01-01

    Purpose: The purpose of this paper is to explore the relationship between satisfaction with learning environment and student effort, both in class and with homework assignments. Design/methodology/approach: The authors use data from a nationwide and compulsory survey to analyze the relationship between learning environment and student effort. The…

  18. Personalized summarization using user preference for m-learning

    Science.gov (United States)

    Lee, Sihyoung; Yang, Seungji; Ro, Yong Man; Kim, Hyoung Joong

    2008-02-01

    As the Internet and multimedia technology is becoming advanced, the number of digital multimedia contents is also becoming abundant in learning area. In order to facilitate the access of digital knowledge and to meet the need of a lifelong learning, e-learning could be the helpful alternative way to the conventional learning paradigms. E-learning is known as a unifying term to express online, web-based and technology-delivered learning. Mobile-learning (m-learning) is defined as e-learning through mobile devices using wireless transmission. In a survey, more than half of the people remarked that the re-consumption was one of the convenient features in e-learning. However, it is not easy to find user's preferred segmentation from a full version of lengthy e-learning content. Especially in m-learning, a content-summarization method is strongly required because mobile devices are limited to low processing power and battery capacity. In this paper, we propose a new user preference model for re-consumption to construct personalized summarization for re-consumption. The user preference for re-consumption is modeled based on user actions with statistical model. Based on the user preference model for re-consumption with personalized user actions, our method discriminates preferred parts over the entire content. Experimental results demonstrated successful personalized summarization.

  19. Learning style preferences among pre-clinical medical students

    Directory of Open Access Journals (Sweden)

    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.

  20. 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.

  1. The Association between Learning Preferences and Preferred Methods of Assessment of Dental Students

    Science.gov (United States)

    Buchanan, Phil

    2016-01-01

    This study is designed to gather information concerning a possible relationship between how dental students prefer to take in and communicate new information and how they prefer to be assessed. Though there are numerous references in the literature regarding the learning styles of students there are also references to the inaccuracy of such…

  2. Georgia - Improved Learning Environment

    Data.gov (United States)

    Millennium Challenge Corporation — The school rehabilitation activity seeks to decrease student and teacher absenteeism, increase students’ time on task, and, ultimately, improve learning and labor...

  3. Constructivist learning theories and complex learning environments

    NARCIS (Netherlands)

    R-J. Simons; Dr. S. Bolhuis

    2004-01-01

    Learning theories broadly characterised as constructivist, agree on the importance to learning of the environment, but differ on what exactly it is that constitutes this importance. Accordingly, they also differ on the educational consequences to be drawn from the theoretical perspective. Cognitive

  4. Metacognitive components in smart learning environment

    Science.gov (United States)

    Sumadyo, M.; Santoso, H. B.; Sensuse, D. I.

    2018-03-01

    Metacognitive ability in digital-based learning process helps students in achieving learning goals. So that digital-based learning environment should make the metacognitive component as a facility that must be equipped. Smart Learning Environment is the concept of a learning environment that certainly has more advanced components than just a digital learning environment. This study examines the metacognitive component of the smart learning environment to support the learning process. A review of the metacognitive literature was conducted to examine the components involved in metacognitive learning strategies. Review is also conducted on the results of study smart learning environment, ranging from design to context in building smart learning. Metacognitive learning strategies certainly require the support of adaptable, responsive and personalize learning environments in accordance with the principles of smart learning. The current study proposed the role of metacognitive component in smart learning environment, which is useful as the basis of research in building environment in smart learning.

  5. 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…

  6. Algorithms for Learning Preferences for Sets of Objects

    Science.gov (United States)

    Wagstaff, Kiri L.; desJardins, Marie; Eaton, Eric

    2010-01-01

    A method is being developed that provides for an artificial-intelligence system to learn a user's preferences for sets of objects and to thereafter automatically select subsets of objects according to those preferences. The method was originally intended to enable automated selection, from among large sets of images acquired by instruments aboard spacecraft, of image subsets considered to be scientifically valuable enough to justify use of limited communication resources for transmission to Earth. The method is also applicable to other sets of objects: examples of sets of objects considered in the development of the method include food menus, radio-station music playlists, and assortments of colored blocks for creating mosaics. The method does not require the user to perform the often-difficult task of quantitatively specifying preferences; instead, the user provides examples of preferred sets of objects. This method goes beyond related prior artificial-intelligence methods for learning which individual items are preferred by the user: this method supports a concept of setbased preferences, which include not only preferences for individual items but also preferences regarding types and degrees of diversity of items in a set. Consideration of diversity in this method involves recognition that members of a set may interact with each other in the sense that when considered together, they may be regarded as being complementary, redundant, or incompatible to various degrees. The effects of such interactions are loosely summarized in the term portfolio effect. The learning method relies on a preference representation language, denoted DD-PREF, to express set-based preferences. In DD-PREF, a preference is represented by a tuple that includes quality (depth) functions to estimate how desired a specific value is, weights for each feature preference, the desired diversity of feature values, and the relative importance of diversity versus depth. The system applies statistical

  7. The development of rhythmic preferences by Dutch-learning infants

    NARCIS (Netherlands)

    Keij, B.M.; Kager, R.W.J.

    2016-01-01

    In this chapter the early acquisition of word stress is discussed. This study is aimed at examining rhythmic preferences for either strong-weak or weak-strong stress patterns of Dutch-learning infants between 4 and 8 months of age. It is complementary to previous rhythmic preference studies

  8. The Effects of Framing Grades on Student Learning and Preferences

    Science.gov (United States)

    Bies-Hernandez, Nicole J.

    2012-01-01

    Two experiments examined whether framing effects, in terms of losses and gains, can be extended to student learning and grading preferences. In Experiment 1, participants rated psychology course syllabi to investigate preferences for differently framed grading systems: a loss versus gain grading system. The results showed a clear framing effect…

  9. The development of rhythmic preferences by Dutch-learning infants

    NARCIS (Netherlands)

    Keij, B.M.|info:eu-repo/dai/nl/374786097; Kager, R.W.J.|info:eu-repo/dai/nl/072294124

    In this chapter the early acquisition of word stress is discussed. This study is aimed at examining rhythmic preferences for either strong-weak or weak-strong stress patterns of Dutch-learning infants between 4 and 8 months of age. It is complementary to previous rhythmic preference studies

  10. The Internet: A Learning Environment.

    Science.gov (United States)

    McGreal, Rory

    1997-01-01

    The Internet environment is suitable for many types of learning activities and teaching and learning styles. Every World Wide Web-based course should provide: home page; introduction; course overview; course requirements, vital information; roles and responsibilities; assignments; schedule; resources; sample tests; teacher biography; course…

  11. 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.…

  12. Learning Environments in Mathematics

    Science.gov (United States)

    Turner, Vanshelle E.

    2017-01-01

    Learning mathematics is problematic for most primary school age children because mathematics is rote and the memorization of steps rather than an approach to seeing relationships that builds inquiry and understanding. Therefore, the traditional "algorithmic" way of teaching mathematics has not fully prepared students to be critical…

  13. Preference learning with evolutionary Multivariate Adaptive Regression Spline model

    DEFF Research Database (Denmark)

    Abou-Zleikha, Mohamed; Shaker, Noor; Christensen, Mads Græsbøll

    2015-01-01

    This paper introduces a novel approach for pairwise preference learning through combining an evolutionary method with Multivariate Adaptive Regression Spline (MARS). Collecting users' feedback through pairwise preferences is recommended over other ranking approaches as this method is more appealing...... for function approximation as well as being relatively easy to interpret. MARS models are evolved based on their efficiency in learning pairwise data. The method is tested on two datasets that collectively provide pairwise preference data of five cognitive states expressed by users. The method is analysed...

  14. Natural preference of zebrafish (Danio rerio for a dark environment

    Directory of Open Access Journals (Sweden)

    Serra E.L.

    1999-01-01

    Full Text Available The zebrafish (Danio rerio has been used as a model in neuroscience but knowledge about its behavior is limited. The aim of this study was to determine the preference of this fish species for a dark or light environment. Initially we used a place preference test and in a second experiment we applied an exit latency test. A two-chamber aquarium was used for the preference test. The aquarium consisted of a black chamber and a white chamber. In the first experiment the animal was placed in the aquarium and the time spent in the two compartments was recorded for 10 min. More time was spent in the black compartment (Wilcoxon matched-pairs signed-rank test, T = 7, N1 = N2 = 18, P = 0.0001. In the second experiment the animal was placed in the black or white compartment and the time it took to go from the initial compartment to the opposite one was recorded. The test lasted a maximum of 10 min. The results showed that the animal spent more time to go from the black to the white compartment (Mann-Whitney rank sum test, T = 48, N1 = 9, N2 = 8, P<0.0230. These data suggest that this fish species has a natural preference for a dark environment and this characteristic can be very useful for the development of new behavioral paradigms for fish.

  15. Evaluation of color preference in zebrafish for learning and memory.

    Science.gov (United States)

    Avdesh, Avdesh; Martin-Iverson, Mathew T; Mondal, Alinda; Chen, Mengqi; Askraba, Sreten; Morgan, Newman; Lardelli, Michael; Groth, David M; Verdile, Giuseppe; Martins, Ralph N

    2012-01-01

    There is growing interest in using zebrafish (Danio rerio) as a model of neurodegenerative disorders such as Alzheimer's disease. A zebrafish model of tauopathies has recently been developed and characterized in terms of presence of the pathological hallmarks (i.e., neurofibrillary tangles and cell death). However, it is also necessary to validate these models for function by assessing learning and memory. The majority of tools to assess memory and learning in animal models involve visual stimuli, including color preference. The color preference of zebrafish has received little attention. To validate zebrafish as a model for color-associated-learning and memory, it is necessary to evaluate its natural preferences or any pre-existing biases towards specific colors. In the present study, we have used four different colors (red, yellow, green, and blue) to test natural color preferences of the zebrafish using two procedures: Place preference and T-maze. Results from both experiments indicate a strong aversion toward blue color relative to all other colors (red, yellow, and green) when tested in combinations. No preferences or biases were found among reds, yellows, and greens in the place preference procedure. However, red and green were equally preferred and both were preferred over yellow by zebrafish in the T-maze procedure. The results from the present study show a strong aversion towards blue color compared to red, green, and yellow, with yellow being less preferred relative to red and green. The findings from this study may underpin any further designing of color-based learning and memory paradigms or experiments involving aversion, anxiety, or fear in the zebrafish.

  16. 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...

  17. 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.

  18. Identifying Learning Preferences in Vocational Education and Training Classroom Settings

    Science.gov (United States)

    Smith, Peter J.

    2006-01-01

    This research was designed to assess whether teachers and trainers of vocational learners noted and valued differences in individual learning preferences and, if so, how those differences were observed in natural classroom, workshop or other formal learning settings. Data were collected from six vocational education and training (VET) learning…

  19. 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,…

  20. Monte Carlo methods for preference learning

    DEFF Research Database (Denmark)

    Viappiani, P.

    2012-01-01

    Utility elicitation is an important component of many applications, such as decision support systems and recommender systems. Such systems query the users about their preferences and give recommendations based on the system’s belief about the utility function. Critical to these applications is th...... is the acquisition of prior distribution about the utility parameters and the possibility of real time Bayesian inference. In this paper we consider Monte Carlo methods for these problems....

  1. Self-organized Learning Environments

    DEFF Research Database (Denmark)

    Dalsgaard, Christian; Mathiasen, Helle

    2007-01-01

    system actively. The two groups used the system in their own way to support their specific activities and ways of working. The paper concludes that self-organized learning environments can strengthen the development of students’ academic as well as social qualifications. Further, the paper identifies......The purpose of the paper is to discuss the potentials of using a conference system in support of a project based university course. We use the concept of a self-organized learning environment to describe the shape of the course. In the paper we argue that educational technology, such as conference...... systems, has a potential to support students’ development of self-organized learning environments and facilitate self-governed activities in higher education. The paper is based on an empirical study of two project groups’ use of a conference system. The study showed that the students used the conference...

  2. Learning Environment And Pupils Academic Performance ...

    African Journals Online (AJOL)

    Learning Environment And Pupils Academic Performance: Implications For Counselling. ... facilities as well as learning materials to make teaching and learning easy. In addition, teachers should provide conducive classroom environment to ...

  3. Factors Influencing Learning Environments in an Integrated Experiential Program

    Science.gov (United States)

    Koci, Peter

    The research conducted for this dissertation examined the learning environment of a specific high school program that delivered the explicit curriculum through an integrated experiential manner, which utilized field and outdoor experiences. The program ran over one semester (five months) and it integrated the grade 10 British Columbian curriculum in five subjects. A mixed methods approach was employed to identify the students' perceptions and provide richer descriptions of their experiences related to their unique learning environment. Quantitative instruments were used to assess changes in students' perspectives of their learning environment, as well as other supporting factors including students' mindfulness, and behaviours towards the environment. Qualitative data collection included observations, open-ended questions, and impromptu interviews with the teacher. The qualitative data describe the factors and processes that influenced the learning environment and give a richer, deeper interpretation which complements the quantitative findings. The research results showed positive scores on all the quantitative measures conducted, and the qualitative data provided further insight into descriptions of learning environment constructs that the students perceived as most important. A major finding was that the group cohesion measure was perceived by students as the most important attribute of their preferred learning environment. A flow chart was developed to help the researcher conceptualize how the learning environment, learning process, and outcomes relate to one another in the studied program. This research attempts to explain through the consideration of this case study: how learning environments can influence behavioural change and how an interconnectedness among several factors in the learning process is influenced by the type of learning environment facilitated. Considerably more research is needed in this area to understand fully the complexity learning

  4. 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

  5. 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

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

    Directory of Open Access Journals (Sweden)

    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

  7. A Randomized Crossover Design to Assess Learning Impact and Student Preference for Active and Passive Online Learning Modules.

    Science.gov (United States)

    Prunuske, Amy J; Henn, Lisa; Brearley, Ann M; Prunuske, Jacob

    Medical education increasingly involves online learning experiences to facilitate the standardization of curriculum across time and space. In class, delivering material by lecture is less effective at promoting student learning than engaging students in active learning experience and it is unclear whether this difference also exists online. We sought to evaluate medical student preferences for online lecture or online active learning formats and the impact of format on short- and long-term learning gains. Students participated online in either lecture or constructivist learning activities in a first year neurologic sciences course at a US medical school. In 2012, students selected which format to complete and in 2013, students were randomly assigned in a crossover fashion to the modules. In the first iteration, students strongly preferred the lecture modules and valued being told "what they need to know" rather than figuring it out independently. In the crossover iteration, learning gains and knowledge retention were found to be equivalent regardless of format, and students uniformly demonstrated a strong preference for the lecture format, which also on average took less time to complete. When given a choice for online modules, students prefer passive lecture rather than completing constructivist activities, and in the time-limited environment of medical school, this choice results in similar performance on multiple-choice examinations with less time invested. Instructors need to look more carefully at whether assessments and learning strategies are helping students to obtain self-directed learning skills and to consider strategies to help students learn to value active learning in an online environment.

  8. Organizational Learning Support Preferences of Millennials

    Science.gov (United States)

    Thompson, Kevin S.

    2016-01-01

    Since more than $140 Billion is invested annually on employee learning and development in the U.S (Harward, 2014) it is important that training leads to improved job performance. Millennials, who comprise the latest employee generation, are age 18-37 (Tyler, 2007) and share the same performance requirements and expectations of the generations that…

  9. Managing the Collaborative Learning Environment.

    Science.gov (United States)

    Wagner, June G.

    2002-01-01

    The feature story in this issue, "Managing the Collaborative Learning Environment," focuses on the growing emphasis on teamwork in the workplace. It discusses how the concept of empowering employees in the workplace is evolving and the benefits--faster decision making, lower costs and absenteeism, higher productivity and quality, and…

  10. A Model to Investigate Preference for Use of Gamification in a Learning Activity

    Directory of Open Access Journals (Sweden)

    Justin Filippou

    2018-03-01

    Full Text Available Applying the engaging and motivating aspects of video games in non-game contexts is known as gamification. Education can benefit from gamification by improving the learning environment to make it more enjoyable and engaging for students. Factors that influence students’ preference for use of gamification are identified. Students are surveyed on their experiences of playing a gamified quiz, named Quick Quiz, during class. Quick Quiz features several gamification elements such as points, progress bars, leader boards, timers, and charts. Data collected from the survey is analysed using Partial Least Squares. Factors including ‘usefulness’, ‘preference for use’, ‘knowledge improvement’, ‘engagement’, ‘immersion’ and ‘enjoyment’ were found to be significant determinants.  Students were found to have a preference for use for gamification in their learning environment.

  11. Neural correlates of reinforcement learning and social preferences in competitive bidding.

    Science.gov (United States)

    van den Bos, Wouter; Talwar, Arjun; McClure, Samuel M

    2013-01-30

    In competitive social environments, people often deviate from what rational choice theory prescribes, resulting in losses or suboptimal monetary gains. We investigate how competition affects learning and decision-making in a common value auction task. During the experiment, groups of five human participants were simultaneously scanned using MRI while playing the auction task. We first demonstrate that bidding is well characterized by reinforcement learning with biased reward representations dependent on social preferences. Indicative of reinforcement learning, we found that estimated trial-by-trial prediction errors correlated with activity in the striatum and ventromedial prefrontal cortex. Additionally, we found that individual differences in social preferences were related to activity in the temporal-parietal junction and anterior insula. Connectivity analyses suggest that monetary and social value signals are integrated in the ventromedial prefrontal cortex and striatum. Based on these results, we argue for a novel mechanistic account for the integration of reinforcement history and social preferences in competitive decision-making.

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

    Directory of Open Access Journals (Sweden)

    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.

  13. Learning and Socializing Preferences in Hong Kong Chinese Children.

    Science.gov (United States)

    Chen, Eva E; Corriveau, Kathleen H; Lai, Veronica K W; Poon, Sze Long; Gaither, Sarah E

    2018-04-30

    The impact of social group information on the learning and socializing preferences of Hong Kong Chinese children were examined. Specifically, the degree to which variability in racial out-group exposure affects children's use of race to make decisions about unfamiliar individuals (Chinese, White, Southeast Asian) was investigated. Participants (N = 212; M age  = 60.51 months) chose functions for novel objects after informants demonstrated their use; indicated with which peer group member to socialize; and were measured on racial group recognition, preference, and identification. Overall, children preferred in-group members, though out-group exposure and the relative social status of out-groups mattered as well. At a young age, children's specific experiences with different races influence how they learn and befriend others across racial group lines. © 2018 Society for Research in Child Development.

  14. 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 ...

  15. Radiologists' preferences for just-in-time learning.

    Science.gov (United States)

    Kahn, Charles E; Ehlers, Kevin C; Wood, Beverly P

    2006-09-01

    Effective learning can occur at the point of care, when opportunities arise to acquire information and apply it to a clinical problem. To assess interest in point-of-care learning, we conducted a survey to explore radiologists' attitudes and preferences regarding the use of just-in-time learning (JITL) in radiology. Following Institutional Review Board approval, we invited 104 current radiology residents and 86 radiologists in practice to participate in a 12-item Internet-based survey to assess their attitudes toward just-in-time learning. Voluntary participation in the survey was solicited by e-mail; respondents completed the survey on a web-based form. Seventy-nine physicians completed the questionnaire, including 47 radiology residents and 32 radiologists in practice; the overall response rate was 42%. Respondents generally expressed a strong interest for JITL: 96% indicated a willingness to try such a system, and 38% indicated that they definitely would use a JITL system. They expressed a preference for learning interventions of 5-10 min in length. Current and recent radiology trainees have expressed a strong interest in just-in-time learning. The information from this survey should be useful in pursuing the design of learning interventions and systems for delivering just-in-time learning to radiologists.

  16. 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.

  17. Personal Learning Environments for Language Learning

    Directory of Open Access Journals (Sweden)

    Panagiotis Panagiotidis

    2013-02-01

    Full Text Available The advent of web 2.0 and the developments it has introduced both in everyday practice and in education have generated discussion and reflection concerning the technologies which higher education should rely on in order to provide the appropriate e-learning services to future students. In this context, the Virtual Learning Environments (VLEs, which are widely used in universities around the world to provide online courses to every specific knowledge area and of course in foreign languages, have started to appear rather outdated. Extensive research is under progress, concerning the ways in which educational practice will follow the philosophy of web 2.0 by adopting the more learner-centred and collaborative approach of e-learning 2.0 applications, without abandoning the existing investment of the academic institutions in VLEs, which belong to the e-learning 1.0 generation, and, thus, serve a teacher- or coursecentred approach. Towards this direction, a notably promising solution seems to be the exploitation of web 2.0 tools in order to form Personal Learning Environments (PLEs. These are systems specifically designed or created by the combined use of various external applications or tools that can be used independently or act as a supplement to existing VLE platforms, creating a personalized learning environment. In a PLE, students have the opportunity to form their own personal way of working, using the tools they feel are most appropriate to achieve their purpose. Regarding the subject of foreign language, in particular, the creation of such personalized and adaptable learning environments that extend the traditional approach of a course seems to promise a more holistic response to students’ needs, who, functioning in the PLE, could combine learning with their daily practice, communicating and collaborating with others, thus increasing the possibilities of access to multiple sources, informal communication and practice and eventually

  18. Personal Learning Environments for Language Learning

    Directory of Open Access Journals (Sweden)

    Panagiotis Panagiotidis

    2012-12-01

    Full Text Available The advent of web 2.0 and the developments it has introduced both in everyday practice and in education have generated discussion and reflection concerning the technologies which higher education should rely on in order to provide the appropriate e-learning services to future students.In this context, the Virtual Learning Environments (VLEs, which are widely used in universities around the world to provide online courses to every specific knowledge area and of course in foreign languages, have started to appear rather outdated. Extensive research is under progress, concerning the ways in which educational practice will follow the philosophy of web 2.0 by adopting the more learner-centred and collaborative approach of e-learning 2.0 applications, without abandoning the existing investment of the academic institutions in VLEs, which belong to the e-learning 1.0 generation, and, thus, serve a teacher- or coursecentred approach.Towards this direction, a notably promising solution seems to be the exploitation of web 2.0 tools in order to form Personal Learning Environments (PLEs. These are systems specifically designed or created by the combined use of various external applications or tools that can be used independently or act as a supplement to existing VLE platforms, creating a personalized learning environment. In a PLE, students have the opportunity to form their own personal way of working, using the tools they feel are most appropriate to achieve their purpose.Regarding the subject of foreign language, in particular, the creation of such personalized and adaptable learning environments that extend the traditional approach of a course seems to promise a more holistic response to students’ needs, who, functioning in the PLE, could combine learning with their daily practice, communicating and collaborating with others, thus increasing the possibilities of access to multiple sources, informal communication and practice and eventually acquiring

  19. Enhancing Learning within the 3-D Virtual Learning Environment

    OpenAIRE

    Shirin Shafieiyoun; Akbar Moazen Safaei

    2013-01-01

    Today’s using of virtual learning environments becomes more remarkable in education. The potential of virtual learning environments has frequently been related to the expansion of sense of social presence which is obtained from students and educators. This study investigated the effectiveness of social presence within virtual learning environments and analysed the impact of social presence on increasing learning satisfaction within virtual learning environments. Second Life, as an example of ...

  20. Effective Learning Environments in Relation to Different Learning Theories

    OpenAIRE

    Guney, Ali; Al, Selda

    2012-01-01

    There are diverse learning theories which explain learning processes which are discussed within this paper, through cognitive structure of learning process. Learning environments are usually described in terms of pedagogical philosophy, curriculum design and social climate. There have been only just a few studies about how physical environment is related to learning process. Many researchers generally consider teaching and learning issues as if independent from physical environment, whereas p...

  1. 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...

  2. 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.

  3. Iranian Female Language Learners' Listening Strategy Preferences in Multimedia Environment

    Directory of Open Access Journals (Sweden)

    Shabnam Talebi Eskandari

    2016-11-01

    Full Text Available Listening skill has been recently paid great attention comparing with the other three language skills since having communication is the first and most essential need. Language learners have been using the three different listening strategies (Cognitive, Meta-cognitive, and Socio-affective to improve their listening skills in multimedia environments in particular. The main focus of this study is to determine the most preferable listening strategies employed in improving listening skills in multimedia environment by female Iranian English language learners. To achieve the goals, thirty female English language learners – twenty to twenty five - out of sixty were selected. In order to collect data IELTS test as pre-test and post-test questionnaire and interview were used. The result indicated that these language learners mainly employed meta-cognitive strategies the most in the multimedia environment. Thus, it is implied that the findings would be beneficial to the classroom practice, guide learners and lecturers as well as syllabus planners and material designers

  4. Group Modeling in Social Learning Environments

    Science.gov (United States)

    Stankov, Slavomir; Glavinic, Vlado; Krpan, Divna

    2012-01-01

    Students' collaboration while learning could provide better learning environments. Collaboration assumes social interactions which occur in student groups. Social theories emphasize positive influence of such interactions on learning. In order to create an appropriate learning environment that enables social interactions, it is important to…

  5. 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.

  6. Design of Feedback in Interactive Multimedia Language Learning Environments

    Directory of Open Access Journals (Sweden)

    Vehbi Türel

    2012-01-01

    Full Text Available In interactive multimedia environments, different digital elements (i. e. video, audio, visuals, text, animations, graphics and glossary can be combined and delivered on the same digital computer screen (TDM 1997: 151, CCED 1987, Brett 1998: 81, Stenton 1998: 11, Mangiafico 1996: 46. This also enables effectively provision and presentation of feedback in pedagogically more efficient ways, which meets not only the requirement of different teaching and learning theories, but also the needs of language learners who vary in their learning-style preferences (Robinson 1991: 156, Peter 1994: 157f.. This study aims to bring out the pedagogical and design principles that might help us to more effectively design and customise feedback in interactive multimedia language learning environments. While so doing, some examples of thought out and customized computerised feedback from an interactive multimedia language learning environment, which were designed and created by the author of this study and were also used for language learning purposes, will be shown.

  7. 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…

  8. Young Drivers Perceptual Learning Styles Preferences and Traffic Accidents

    Directory of Open Access Journals (Sweden)

    Svetlana Čičević

    2011-05-01

    Full Text Available Young drivers are over-represented in crash and fatality statistics. One way of dealing with this problem is to achieve primary prevention through driver education and training. Factors of traffic accidents related to gender, age, driving experience, and self-assessments of safety and their relationship to perceptual learning styles (LS preferences have been analyzed in this study. The results show that auditory is the most prominent LS. Drivers in general, as well as drivers without traffic accidents favour visual and tactile LS. Both inexperienced and highly experienced drivers show relatively high preference of kinaesthetic style. Yet, taking into account driving experience we could see that the role of kinaesthetic LS is reduced, since individual LS has become more important. Based on the results of this study it can be concluded that a multivariate and multistage approach to driver education, taking into account differences in LS preferences, would be highly beneficial for traffic safety.

  9. People learn other people's preferences through inverse decision-making.

    Science.gov (United States)

    Jern, Alan; Lucas, Christopher G; Kemp, Charles

    2017-11-01

    People are capable of learning other people's preferences by observing the choices they make. We propose that this learning relies on inverse decision-making-inverting a decision-making model to infer the preferences that led to an observed choice. In Experiment 1, participants observed 47 choices made by others and ranked them by how strongly each choice suggested that the decision maker had a preference for a specific item. An inverse decision-making model generated predictions that were in accordance with participants' inferences. Experiment 2 replicated and extended a previous study by Newtson (1974) in which participants observed pairs of choices and made judgments about which choice provided stronger evidence for a preference. Inverse decision-making again predicted the results, including a result that previous accounts could not explain. Experiment 3 used the same method as Experiment 2 and found that participants did not expect decision makers to be perfect utility-maximizers. Copyright © 2017 Elsevier B.V. All rights reserved.

  10. 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...

  11. Bayes-Optimal Entropy Pursuit for Active Choice-Based Preference Learning

    OpenAIRE

    Pallone, Stephen N.; Frazier, Peter I.; Henderson, Shane G.

    2017-01-01

    We analyze the problem of learning a single user's preferences in an active learning setting, sequentially and adaptively querying the user over a finite time horizon. Learning is conducted via choice-based queries, where the user selects her preferred option among a small subset of offered alternatives. These queries have been shown to be a robust and efficient way to learn an individual's preferences. We take a parametric approach and model the user's preferences through a linear classifier...

  12. Adaptive intertemporal preferences in foraging-style environments

    Directory of Open Access Journals (Sweden)

    Michael T. Bixter

    2013-06-01

    Full Text Available Decision makers often face choices between smaller more immediate rewards and larger more delayed rewards. For example, when foraging for food, animals must choose between actions that have varying costs (e.g., effort, duration, energy expenditure and varying benefits (e.g., amount of food intake. The combination of these costs and benefits determine what optimal behavior is. In the present study, we employ a foraging-style task to study how humans make reward-based choices in response to the real-time constraints of a dynamic environment. On each trial participants were presented with two rewards that differed in magnitude and in the delay until their receipt. Because the experiment was of a fixed duration, maximizing earnings required decision makers to determine how to trade off the magnitude and the delay associated with the two rewards on each trial. To evaluate the extent to which participants could adapt to the decision environment, specific task characteristics were manipulated, including reward magnitudes (Experiment 1 and the delay between trials (Experiment 2. Each of these manipulations was designed to alter the pattern of choices made by an optimal decision maker. Several findings are of note. First, different choice strategies were observed with the manipulated environmental constraints. Second, despite contextually-appropriate shifts in behavior between conditions in each experiment, choice patterns deviated from theoretical optimality. In particular, the delays associated with the rewards did not exert a consistent influence on choices as required by exponential discounting. Third, decision makers nevertheless performed surprisingly well in all task environments with any deviations from strict optimality not having particularly deleterious effects on earnings. Taken together, these results suggest that human decision makers are capable of exhibiting intertemporal preferences that reflect a variety of environmental constraints.

  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. Learning User Preferences in Ubiquitous Systems: A User Study and a Reinforcement Learning Approach

    OpenAIRE

    Zaidenberg , Sofia; Reignier , Patrick; Mandran , Nadine

    2010-01-01

    International audience; Our study concerns a virtual assistant, proposing services to the user based on its current perceived activity and situation (ambient intelligence). Instead of asking the user to define his preferences, we acquire them automatically using a reinforcement learning approach. Experiments showed that our system succeeded the learning of user preferences. In order to validate the relevance and usability of such a system, we have first conducted a user study. 26 non-expert s...

  15. 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…

  16. Challenges Encountered in Creating Personalised Learning Activities to Suit Students Learning Preferences

    OpenAIRE

    O'Donnell, Eileen; Wade, Vincent; Sharp, Mary; O'Donnell, Liam

    2013-01-01

    This book chapter reviews some of the challenges encountered by educators in creating personalised e-learning activities to suit students learning preferences. Technology-enhanced learning (TEL) alternatively known as e-learning has not yet reached its full potential in higher education. There are still many potential uses as yet undiscovered and other discovered uses which are not yet realisable by many educators. TEL is still predominantly used for e-dissemination and e-administration. This...

  17. Influences of Formal Learning, Personal Learning Orientation, and Supportive Learning Environment on Informal Learning

    Science.gov (United States)

    Choi, Woojae; Jacobs, Ronald L.

    2011-01-01

    While workplace learning includes formal and informal learning, the relationship between the two has been overlooked, because they have been viewed as separate entities. This study investigated the effects of formal learning, personal learning orientation, and supportive learning environment on informal learning among 203 middle managers in Korean…

  18. School and workplace as learning environments

    DEFF Research Database (Denmark)

    Jørgensen, Christian Helms

    In vocational education and training the school and the workplace are two different learning environments. But how should we conceive of a learning environment, and what characterizes the school and the workplace respectively as learning environments? And how can the two environ-ments be linked......? These questions are treated in this paper. School and workplace are assessed us-ing the same analytical approach. Thereby it is pointed out how different forms of learning are en-couraged in each of them and how different forms of knowledge are valued. On this basis sugges-tions are made about how to understand...

  19. Advancing Affect Modeling via Preference Learning and Unsupervised Feature Extraction

    DEFF Research Database (Denmark)

    Martínez, Héctor Pérez

    strategies (error functions and training algorithms) for artificial neural networks are examined across synthetic and psycho-physiological datasets, and compared against support vector machines and Cohen’s method. Results reveal the best training strategies for neural networks and suggest their superiority...... difficulties, ordinal reports such as rankings and ratings can yield more reliable affect annotations than alternative tools. This thesis explores preference learning methods to automatically learn computational models from ordinal annotations of affect. In particular, an extensive collection of training...... over the other examined methods. The second challenge addressed in this thesis refers to the extraction of relevant information from physiological modalities. Deep learning is proposed as an automatic approach to extract input features for models of affect from physiological signals. Experiments...

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

    Science.gov (United States)

    Kutay, Huban

    elements covering each person's perceptual, psychological, environmental, physiological, emotional, and sociological processing preferences and analyzes the learning conditions for students' individual preferences in these six areas. All of these variables can effect one's learning style preferences. Each subject rates 118 items on a five-point scale from strongly disagree to strongly agree. A two-sample t test was used to identify the differences between Turkish and American students by means of their learning style preferences and social anxiety levels. The sample consisted of 67% males and 33% female. The age of the subjects was relatively young as we expected; 51% of them 25 years old and under and 46% of them were between the ages of 26 and 35. In terms of academic major areas 38% of the students were from the basic science areas such as chemistry, biology, physics, and science education with a B.S. degree or pursuing a B.S. degree in one of the science areas mentioned previously. The second most prevalent major category was engineering with 35% of the subject. Out of a total of twenty-four elements, eight were identified as being different in these groups. These differences were mostly in the physiological and environmental stimulus that can be explained as cultural habits or practices.

  1. Creating a supportive learning environment for students with learning difficulties

    OpenAIRE

    Grah, Jana

    2013-01-01

    Co-building of supporting learning environment for the learners with learning difficulties is one of the 21st century inclusive school’s elements. Since the physical presence of learners with learning difficulties in the classroom does not self-evidently lead to an effective co-operation and implementation of 21st century inclusive school, I have dedicated my doctor thesis to the establishment of supporting learning environment for the learners with learning difficulties in primary school wit...

  2. Students’ Motivation for Learning in Virtual Learning Environments

    OpenAIRE

    Beluce, Andrea Carvalho; Oliveira, Katya Luciane de

    2015-01-01

    The specific characteristics of online education require of the student engagement and autonomy, factors which are related to motivation for learning. This study investigated students’ motivation in virtual learning environments (VLEs). For this, it used the Teaching and Learning Strategy and Motivation to Learn Scale in Virtual Learning Environments (TLSM-VLE). The scale presented 32 items and six dimensions, three of which aimed to measure the variables of autonomous motivation, controlled ...

  3. Asynchronous learning: student utilization out of sync with their preference

    Directory of Open Access Journals (Sweden)

    Edward K. Lew

    2016-06-01

    Full Text Available Background: Asynchronous learning is gaining popularity. Data are limited regarding this learning method in medical students rotating in emergency medicine (EM. In EM, faculty time is limited to give in-person lectures. The authors sought to create an online curriculum that students could utilize as an additional learning modality. Objective: The goal was to evaluate effectiveness, participation, and preference for this mode of learning. Methods: We developed five online, narrated PowerPoint presentations. After orientation, access to the online curriculum was provided to the students, which they could review at their leisure. Results: One hundred and seven fourth-year medical students participated. They reported the curriculum to be of high quality. Pretest scores were similar for those that viewed all lectures – compliant group (CG (9.5 [CI 4.8–14.1] and those that did not view any – non-compliant group (NCG (9.6 [CI 5.9–13.4]. There was no statistical significant difference in posttest scores between the groups although there was improvement overall: CG 14.6 (CI 6.9–22.1; NCG 11.4 (CI 5.7–17.1. A majority (69.2% favored inclusion of asynchronous learning, but less than a quarter (22.4% reported viewing all five modules and more than a third (36.4% viewed none. Conclusion: Despite student-expressed preference for an online curriculum, they used the online resource less than expected. This should give pause to educators looking to convert core EM topics to an online format. However, when high-quality online lectures are utilized as a learning tool, this study demonstrates that they had neither a positive nor a negative impact on test scores.

  4. Student Motivation in Constructivist Learning Environment

    Science.gov (United States)

    Cetin-Dindar, Ayla

    2016-01-01

    The purpose of this study was to investigate the relation between constructivist learning environment and students'motivation to learn science by testing whether students' self-efficacy in learning science, intrinsically and extrinsically motivated science learning increase and students' anxiety about science assessment decreases when more…

  5. Preference for and learning of amino acids in larval Drosophila

    Directory of Open Access Journals (Sweden)

    Nana Kudow

    2017-03-01

    Full Text Available Relative to other nutrients, less is known about how animals sense amino acids and how behaviour is organized accordingly. This is a significant gap in our knowledge because amino acids are required for protein synthesis − and hence for life as we know it. Choosing Drosophila larvae as a case study, we provide the first systematic analysis of both the preference behaviour for, and the learning of, all 20 canonical amino acids in Drosophila. We report that preference for individual amino acids differs according to the kind of amino acid, both in first-instar and in third-instar larvae. Our data suggest that this preference profile changes across larval instars, and that starvation during the third instar also alters this profile. Only aspartic acid turns out to be robustly attractive across all our experiments. The essentiality of amino acids does not appear to be a determinant of preference. Interestingly, although amino acids thus differ in their innate attractiveness, we find that all amino acids are equally rewarding. Similar discrepancies between innate attractiveness and reinforcing effect have previously been reported for other tastants, including sugars, bitter substances and salt. The present analyses will facilitate the ongoing search for the receptors, sensory neurons, and internal, homeostatic amino acid sensors in Drosophila.

  6. Predicting Virtual Learning Environment Adoption

    DEFF Research Database (Denmark)

    Penjor, Sonam; Zander, Pär-Ola Mikael

    2016-01-01

    This study investigates the significance of Rogers’ Diffusion of Innovations (DOI) theory with regard to the use of a Virtual Learning Environment (VLE) at the Royal University of Bhutan (RUB). The focus is on different adoption types and characteristics of users. Rogers’ DOI theory is applied...... to investigate the influence of five predictors (relative advantage, complexity, compatibility, trialability and observability) and their significance in the perception of academic staff at the RUB in relation to the probability of VLE adoption. These predictors are attributes of the VLE that determine the rate...... of adoption by various adopter group memberships (Innovators, Early Adopters, Early Majority, Late Majority, Laggards). Descriptive statistics and regression analysis were deployed to analyse adopter group memberships and predictor significance in VLE adoption and use. The results revealed varying attitudes...

  7. Personal Learning Environments in Black and White

    NARCIS (Netherlands)

    Kalz, Marco

    2010-01-01

    Kalz, M. (2010, 22 January). Personal Learning Environments in Black and White. Presentation provided during the workshop "Informal Learning and the use of social software in veterinary medicine" of the Noviceproject (http://www.noviceproject.eu), Utrecht, The Netherlands.

  8. Exploring Collaborative Learning Effect in Blended Learning Environments

    Science.gov (United States)

    Sun, Z.; Liu, R.; Luo, L.; Wu, M.; Shi, C.

    2017-01-01

    The use of new technology encouraged exploration of the effectiveness and difference of collaborative learning in blended learning environments. This study investigated the social interactive network of students, level of knowledge building and perception level on usefulness in online and mobile collaborative learning environments in higher…

  9. 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…

  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. Effective Learning Environments in Relation to Different Learning Theories

    NARCIS (Netherlands)

    Guney, A.; Al, S.

    2012-01-01

    There are diverse learning theories which explain learning processes which are discussed within this paper, through cognitive structure of learning process. Learning environments are usually described in terms of pedagogical philosophy, curriculum design and social climate. There have been only just

  12. E-Learning Systems, Environments and Approaches

    OpenAIRE

    Isaias, P.; Spector, J.M.; Ifenthaler, D.; Sampson, D.G.

    2015-01-01

    The volume consists of twenty-five chapters selected from among peer-reviewed papers presented at the CELDA (Cognition and Exploratory Learning in the Digital Age) 2013 Conference held in Fort Worth, Texas, USA, in October 2013 and also from world class scholars in e-learning systems, environments and approaches. The following sub-topics are included: Exploratory Learning Technologies (Part I), e-Learning social web design (Part II), Learner communities through e-Learning implementations (Par...

  13. Appreciation of learning environment and development of higher-order learning skills in a problem-based learning medical curriculum.

    Science.gov (United States)

    Mala-Maung; Abdullah, Azman; Abas, Zoraini W

    2011-12-01

    This cross-sectional study determined the appreciation of the learning environment and development of higher-order learning skills among students attending the Medical Curriculum at the International Medical University, Malaysia which provides traditional and e-learning resources with an emphasis on problem based learning (PBL) and self-directed learning. Of the 708 participants, the majority preferred traditional to e-resources. Students who highly appreciated PBL demonstrated a higher appreciation of e-resources. Appreciation of PBL is positively and significantly correlated with higher-order learning skills, reflecting the inculcation of self-directed learning traits. Implementers must be sensitive to the progress of learners adapting to the higher education environment and innovations, and to address limitations as relevant.

  14. 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…

  15. Medical students' preferences for problem-based learning in relation to culture and personality: a multicultural study.

    Science.gov (United States)

    Holen, Are; Manandhar, Kedar; Pant, Devendra S; Karmacharya, Biraj M; Olson, Linda M; Koju, Rajendra; Mansur, Dil I

    2015-07-19

    The aim of this study was to explore positive and negative preferences towards problem-based learning in relation to personality traits and socio-cultural context. The study was an anonymous and voluntary cross-sectional survey of medical students (N=449) in hybrid problem-based curricula in Nepal, Norway and North Dakota. Data was collected on gender, age, year of study, cohabitation and medical school. The PBL Preference Inventory identified students' positive and negative preferences in relation to problem-based learning; the personality traits were detected by the NEO Five-Factor Inventory. The determinants of the two kinds of preferences were analyzed by hierarchical multiple linear regressions. Positive preferences were mostly determined by personality; associations were found with the traits Extra-version, Openness to experience, Conscientiousness and Neuroticism; the first three are related to sociability, curiosity and orderliness, the last, to mental health. The learn-ing environments of such curricula may be supportive for some and unnerving for others who score high on Neuroticism. Negative preferences were rather determined by culture, but also, they correlated with Neuroticism and Conscientiousness. Negative preferences were lower among females and students living in symmetrical relationships. Some high on Conscientiousness disliked group work, and the negative correlation with Agreeableness indicated that less sociable students were not predisposed to this kind of learning activity. Preferences related to problem-based learning were significantly and independently determined both by personality traits and culture. More insights into the nature of students' preferences may guide aspects of curriculum modifications and the daily facilitation of groups.

  16. Internet Self-Efficacy Preferences of Internet Based Environments and Achievement of Prospective Teachers

    Science.gov (United States)

    Ozyalcin Oskay, Ozge

    2011-01-01

    The aims of this study are to determine prospective chemistry teachers' internet self-efficacy and preferences of constructivist internet-assisted environments and to examine the relationship between their internet self-efficacy and their preferences for constructivist internet-assisted environments, the relationship between their achievement in…

  17. Soft Systems Methodology for Personalized Learning Environment

    Science.gov (United States)

    Nair, Uday

    2015-01-01

    There are two sides to a coin when it comes to implementing technology at universities; on one side, there is the university using technologies via the virtual learning environment that seems to be outdated with the digital needs of the students, and on the other side, while implementing technology at the university learning environment the focus…

  18. Theoretical Foundations of Learning Environments. Second Edition

    Science.gov (United States)

    Jonassen, David, Ed.; Land, Susan, Ed.

    2012-01-01

    "Theoretical Foundations of Learning Environments" provides students, faculty, and instructional designers with a clear, concise introduction to the major pedagogical and psychological theories and their implications for the design of new learning environments for schools, universities, or corporations. Leading experts describe the most…

  19. A Design Framework for Personal Learning Environments

    NARCIS (Netherlands)

    Rahimi, E.

    2015-01-01

    The purpose of our research was to develop a PLE (personal learning environment) design framework for workplace settings. By doing such, the research has answered this research question, how should a technology-based personal learning environment be designed, aiming at supporting learners to gain

  20. Musical preferences and learning outcome of medical students in cadaver dissection laboratory: A Nigerian survey.

    Science.gov (United States)

    Anyanwu, G E; Nto, J N; Agu, A U; Ekezie, J; Esom, E A

    2016-11-01

    Background music has been reported to enhance learning in the cadaver dissection laboratory. This study was designed to determine the impact of various forms of musical genre and some of their characteristics on students' learning outcome in the dissection laboratory. Some selected musical genre in vocal and non-vocal forms and at different tempi and volume were played as background music (BM) to 253 Medical and Dental students during various sessions of cadaver dissection. Psychological Stress assessment was done using Psychological stress measure-9. Participants love for music, preferred musical genre and other musical characteristics were assessed. The impact of the various musical genre and their characteristics on learning was done via written examination on the region dissected during each musical session. A positive relationship was noted between students' preference for musical genre during leisure with their preference for BM during private study time (Pmusical genre on some selected learning factors. Country and Classical music gave the highest positive impact on the various learning factors in CDL followed by R&B. No significant difference was noted between the cognitive values of vocal and non-vocal music. Classical music most effectively reduced the stress induced by dissection in the CDL while Reggae and High life musical genre created a more stressful environment than regular background noise (Pmusical genre and their various characteristics. The inability to isolate the particular musical genre with these desired properties could account for the controversies in the reports of the role of music in academic environment. Copyright © 2016 Elsevier GmbH. All rights reserved.

  1. Improving education under work-hour restrictions: comparing learning and teaching preferences of faculty, residents, and students.

    Science.gov (United States)

    Jack, Megan C; Kenkare, Sonya B; Saville, Benjamin R; Beidler, Stephanie K; Saba, Sam C; West, Alisha N; Hanemann, Michael S; van Aalst, John A

    2010-01-01

    Faced with work-hour restrictions, educators are mandated to improve the efficiency of resident and medical student education. Few studies have assessed learning styles in medicine; none have compared teaching and learning preferences. Validated tools exist to study these deficiencies. Kolb describes 4 learning styles: converging (practical), diverging (imaginative), assimilating (inductive), and accommodating (active). Grasha Teaching Styles are categorized into "clusters": 1 (teacher-centered, knowledge acquisition), 2 (teacher-centered, role modeling), 3 (student-centered, problem-solving), and 4 (student-centered, facilitative). Kolb's Learning Style Inventory (HayGroup, Philadelphia, Pennsylvania) and Grasha-Riechmann's TSS were administered to surgical faculty (n = 61), residents (n = 96), and medical students (n = 183) at a tertiary academic medical center, after informed consent was obtained (IRB # 06-0612). Statistical analysis was performed using χ(2) and Fisher exact tests. Surgical residents preferred active learning (p = 0.053), whereas faculty preferred reflective learning (p style more often than surgical faculty (p = 0.01). Medical students preferred converging learning (42%) and cluster 4 teaching (35%). Statistical significance was unchanged when corrected for gender, resident training level, and subspecialization. Significant differences exist between faculty and residents in both learning and teaching preferences; this finding suggests inefficiency in resident education, as previous research suggests that learning styles parallel teaching styles. Absence of a predominant teaching style in residents suggests these individuals are learning to be teachers. The adaptation of faculty teaching methods to account for variations in resident learning styles may promote a better learning environment and more efficient faculty-resident interaction. Additional, multi-institutional studies using these tools are needed to elucidate these findings fully

  2. Preparing Teachers for Emerging Blended Learning Environments

    Science.gov (United States)

    Oliver, Kevin M.; Stallings, Dallas T.

    2014-01-01

    Blended learning environments that merge learning strategies, resources, and modes have been implemented in higher education settings for nearly two decades, and research has identified many positive effects. More recently, K-12 traditional and charter schools have begun to experiment with blended learning, but to date, research on the effects of…

  3. A Collaborative Model for Ubiquitous Learning Environments

    Science.gov (United States)

    Barbosa, Jorge; Barbosa, Debora; Rabello, Solon

    2016-01-01

    Use of mobile devices and widespread adoption of wireless networks have enabled the emergence of Ubiquitous Computing. Application of this technology to improving education strategies gave rise to Ubiquitous e-Learning, also known as Ubiquitous Learning. There are several approaches to organizing ubiquitous learning environments, but most of them…

  4. Interactive learning environments in augmented reality technology

    Directory of Open Access Journals (Sweden)

    Rafał Wojciechowski

    2010-01-01

    Full Text Available In this paper, the problem of creation of learning environments based on augmented reality (AR is considered. The concept of AR is presented as a tool for safe and cheap experimental learning. In AR learning environments students may acquire knowledge by personally carrying out experiments on virtual objects by manipulating real objects located in real environments. In the paper, a new approach to creation of interactive educational scenarios, called Augmented Reality Interactive Scenario Modeling (ARISM, is mentioned. In this approach, the process of building learning environments is divided into three stages, each of them performed by users with different technical and domain knowledge. The ARISM approach enables teachers who are not computer science experts to create AR learning environments adapted to the needs of their students.

  5. Towards an intelligent environment for distance learning

    Directory of Open Access Journals (Sweden)

    Rafael Morales

    2009-12-01

    Full Text Available Mainstream distance learning nowadays is heavily influenced by traditional educational approaches that produceshomogenised learning scenarios for all learners through learning management systems. Any differentiation betweenlearners and personalisation of their learning scenarios is left to the teacher, who gets minimum support from the system inthis respect. This way, the truly digital native, the computer, is left out of the move, unable to better support the teachinglearning processes because it is not provided with the means to transform into knowledge all the information that it storesand manages. I believe learning management systems should care for supporting adaptation and personalisation of bothindividual learning and the formation of communities of learning. Open learner modelling and intelligent collaborativelearning environments are proposed as a means to care. The proposal is complemented with a general architecture for anintelligent environment for distance learning and an educational model based on the principles of self-management,creativity, significance and participation.

  6. Learning Object Metadata in a Web-Based Learning Environment

    NARCIS (Netherlands)

    Avgeriou, Paris; Koutoumanos, Anastasios; Retalis, Symeon; Papaspyrou, Nikolaos

    2000-01-01

    The plethora and variance of learning resources embedded in modern web-based learning environments require a mechanism to enable their structured administration. This goal can be achieved by defining metadata on them and constructing a system that manages the metadata in the context of the learning

  7. The Effects of Integrating Social Learning Environment with Online Learning

    Science.gov (United States)

    Raspopovic, Miroslava; Cvetanovic, Svetlana; Medan, Ivana; Ljubojevic, Danijela

    2017-01-01

    The aim of this paper is to present the learning and teaching styles using the Social Learning Environment (SLE), which was developed based on the computer supported collaborative learning approach. To avoid burdening learners with multiple platforms and tools, SLE was designed and developed in order to integrate existing systems, institutional…

  8. Technically Speaking: Transforming Language Learning through Virtual Learning Environments (MOOs).

    Science.gov (United States)

    von der Emde, Silke; Schneider, Jeffrey; Kotter, Markus

    2001-01-01

    Draws on experiences from a 7-week exchange between students learning German at an American college and advanced students of English at a German university. Maps out the benefits to using a MOO (multiple user domains object-oriented) for language learning: a student-centered learning environment structured by such objectives as peer teaching,…

  9. Clinical learning environment at Shiraz Medical School.

    Science.gov (United States)

    Rezaee, Rita; Ebrahimi, Sedigheh

    2013-01-01

    Clinical learning occurs in the context of a dynamic environment. Learning environment found to be one of the most important factors in determining the success of an effective teaching program. To investigate, from the attending and resident's perspective, factors that may affect student leaning in the educational hospital setting at Shiraz University of Medical Sciences (SUMS). This study combined qualitative and quantitative methods to determine factors affecting effective learning in clinical setting. Residents evaluated the perceived effectiveness of the university hospital learning environment. Fifty two faculty members and 132 residents participated in this study. Key determinants that contribute to an effective clinical teaching were autonomy, supervision, social support, workload, role clarity, learning opportunity, work diversity and physical facilities. In a good clinical setting, residents should be appreciated and given appropriate opportunities to study in order to meet their objectives. They require a supportive environment to consolidate their knowledge, skills and judgment. © 2013 Tehran University of Medical Sciences. All rights reserved.

  10. Clinical Learning Environment at Shiraz Medical School

    Directory of Open Access Journals (Sweden)

    Sedigheh Ebrahimi

    2013-01-01

    Full Text Available Clinical learning occurs in the context of a dynamic environment. Learning environment found to be one of the most important factors in determining the success of an effective teaching program. To investigate, from the attending and resident's perspective, factors that may affect student leaning in the educational hospital setting at Shiraz University of Medical Sciences (SUMS. This study combined qualitative and quantitative methods to determine factors affecting effective learning in clinical setting. Residents evaluated the perceived effectiveness of the university hospital learning environment. Fifty two faculty members and 132 residents participated in this study. Key determinants that contribute to an effective clinical teaching were autonomy, supervision, social support, workload, role clarity, learning opportunity, work diversity and physical facilities. In a good clinical setting, residents should be appreciated and given appropriate opportunities to study in order to meet their objectives. They require a supportive environment to consolidate their knowledge, skills and judgment.

  11. Mapping Students’ Informal Learning Using Personal Learning Environment

    Directory of Open Access Journals (Sweden)

    Jelena Anđelković Labrović

    2014-07-01

    Full Text Available Personal learning environments are a widely spared ways of learning, especially for the informal learning process. The aim of this research is to identify the elements of studens’ personal learning environment and to identify the extent to which students use modern technology for learning as part of their non-formal learning. A mapping system was used for gathering data and an analysis of percentages and frequency counts was used for data analysis in the SPSS. The results show that students’ personal learning environment includes the following elements: Wikipedia, Google, YouTube and Facebook in 75% of all cases, and an interesting fact is that all of them belong to a group of Web 2.0 tools and applications.

  12. Architecture for Collaborative Learning Activities in Hybrid Learning Environments

    OpenAIRE

    Ibáñez, María Blanca; Maroto, David; García Rueda, José Jesús; Leony, Derick; Delgado Kloos, Carlos

    2012-01-01

    3D virtual worlds are recognized as collaborative learning environments. However, the underlying technology is not sufficiently mature and the virtual worlds look cartoonish, unlinked to reality. Thus, it is important to enrich them with elements from the real world to enhance student engagement in learning activities. Our approach is to build learning environments where participants can either be in the real world or in its mirror world while sharing the same hybrid space in a collaborative ...

  13. Geocoding location expressions in Twitter messages: A preference learning method

    Directory of Open Access Journals (Sweden)

    Wei Zhang

    2014-12-01

    Full Text Available Resolving location expressions in text to the correct physical location, also known as geocoding or grounding, is complicated by the fact that so many places around the world share the same name. Correct resolution is made even more difficult when there is little context to determine which place is intended, as in a 140-character Twitter message, or when location cues from different sources conflict, as may be the case among different metadata fields of a Twitter message. We used supervised machine learning to weigh the different fields of the Twitter message and the features of a world gazetteer to create a model that will prefer the correct gazetteer candidate to resolve the extracted expression. We evaluated our model using the F1 measure and compared it to similar algorithms. Our method achieved results higher than state-of-the-art competitors.

  14. Psychological Type and Preferences in the Academic Environment

    Science.gov (United States)

    1994-09-01

    INTJ Perceiving ISTP ISFP INFP INTP EXTRA VERSION Perceiving ESTP ESFP ENFP ENTP Judging ESTJ ESFJ ENFJ ENTJ (Kroeger and Thuesen, 1992: 44) (Note: In...significant relationships between the components of an individual’s psychological type and cognitive style, as measured by the Myers-Briggs Type Indicator...nature and addressed the following question: What are the relationships between the preferences as measured by the Myers-Briggs Type Indicator (MBTI) and

  15. Assessing learning preferences of dental students using visual, auditory, reading-writing, and kinesthetic questionnaire

    Directory of Open Access Journals (Sweden)

    Darshana Bennadi

    2015-01-01

    Full Text Available Introduction: Educators of the health care profession (teachers are committed in preparing future health care providers, but are facing many challenges in transmitting their ever expanding knowledge to the students. This study was done to focus on different learning styles among dental students. Aim: To assess different learning preferences among dental students. Materials and Methods: This is a descriptive cross-sectional questionnaire study using visual, auditory, reading-writing, and kinesthetic questionnaire among dental students. Results: Majority 75.8% of the students preferred multimodal learning style. Multimodal learning was common among clinical students. No statistical significant difference of learning styles in relation to gender (P > 0.05. Conclusion: In the present study, majority of students preferred multimodal learning preference. Knowledge about the learning style preference of different profession can help to enhance the teaching method for the students.

  16. Create a good learning environment and motivate active learning enthusiasm

    Science.gov (United States)

    Bi, Weihong; Fu, Guangwei; Fu, Xinghu; Zhang, Baojun; Liu, Qiang; Jin, Wa

    2017-08-01

    In view of the current poor learning initiative of undergraduates, the idea of creating a good learning environment and motivating active learning enthusiasm is proposed. In practice, the professional tutor is allocated and professional introduction course is opened for college freshman. It can promote communication between the professional teachers and students as early as possible, and guide students to know and devote the professional knowledge by the preconceived form. Practice results show that these solutions can improve the students interest in learning initiative, so that the active learning and self-learning has become a habit in the classroom.

  17. Conditions for Productive Learning in Network Learning Environments

    DEFF Research Database (Denmark)

    Ponti, M.; Dirckinck-Holmfeld, Lone; Lindström, B.

    2004-01-01

    are designed without a deep understanding of the pedagogical, communicative and collaborative conditions embedded in networked learning. Despite the existence of good theoretical views pointing to a social understanding of learning, rather than a traditional individualistic and information processing approach......The Kaleidoscope1 Jointly Executed Integrating Research Project (JEIRP) on Conditions for Productive Networked Learning Environments is developing and elaborating conceptual understandings of Computer Supported Collaborative Learning (CSCL) emphasizing the use of cross-cultural comparative......: Pedagogical design and the dialectics of the digital artefacts, the concept of collaboration, ethics/trust, identity and the role of scaffolding of networked learning environments.   The JEIRP is motivated by the fact that many networked learning environments in various European educational settings...

  18. Reconfiguring Course Design in Virtual Learning Environments

    DEFF Research Database (Denmark)

    Mullins, Michael; Zupancic, Tadeja

    2007-01-01

    for architectural students offers some innovative insights into experientially oriented educational interfaces. A comparative analysis of VIPA courses and project results are presented in the paper. Special attention in the discussion is devoted to the improvements of e-learning solutions in architecture......Although many administrators and educators are familiar with e-learning programs, learning management systems and portals, fewer may have experience with virtual distributed learning environments and their academic relevance. The blended learning experience of the VIPA e-learning project....... The criterion of the relation between the actual applicability of selected e-learning solutions and elements of collaborative educational interfaces with VR are taken into account. A system of e-learning applicability levels in program and course development and implementation of architectural tectonics...

  19. Learning Environment as Correlates of Chemistry Students ...

    African Journals Online (AJOL)

    gold

    2012-07-26

    Jul 26, 2012 ... The study aimed at assessing how 13 learning environment variables taken ... chemistry education programmes for optimum achievement of students in ... The contribution of chemistry and chemists to social, industrial and.

  20. Information literacy experiencies inside virtual learning environments

    Directory of Open Access Journals (Sweden)

    Patricia Hernández Salazar

    2016-03-01

    Full Text Available Objective. Suggest the use of virtual learning environments as an Information Literacy (IL alternative. Method. Analysis of the main elements of web sites. To achieve this purpose the article includes the relationship between IL and the learning virtual environment (by defining both phrases; phases to create virtual IL programs; processes to elaborate didactic media; the applications that may support this plan; and the description of eleven examples of learning virtual environments IL experiences from four countries (Mexico, United States of America, Spain and United Kingdom these examples fulfill the conditions expressed. Results. We obtained four comparative tables examining five elements of each experience: objectives; target community; institution; country; and platform used. Conclusions. Any IL proposal should have a clear definition; IL experiences have to follow a didactic systematic process; described experiences are based on IL definition; the experiences analyzed are similar; virtual learning environments can be used as alternatives of IL.

  1. Relationship between learning environment characteristics and academic engagement

    NARCIS (Netherlands)

    Opdenakker, Marie-Christine; Minnaert, Alexander

    The relationship between learning environment characteristics and academic engagement of 777 Grade 6 children located in 41 learning environments was explored. Questionnaires were used to tap learning environment perceptions of children, their academic engagement, and their ethnic-cultural

  2. University Libraries and Digital Learning Environments

    OpenAIRE

    2011-01-01

    University libraries around the world have embraced the possibilities of the digital learning environment, facilitating its use and proactively seeking to develop the provision of electronic resources and services. The digital environment offers opportunities and challenges for librarians in all aspects of their work – in information literacy, virtual reference, institutional repositories, e-learning, managing digital resources and social media. The authors in this timely book are leading exp...

  3. Advanced Training Technologies and Learning Environments

    Science.gov (United States)

    Noor, Ahmed K. (Compiler); Malone, John B. (Compiler)

    1999-01-01

    This document contains the proceedings of the Workshop on Advanced Training Technologies and Learning Environments held at NASA Langley Research Center, Hampton, Virginia, March 9-10, 1999. The workshop was jointly sponsored by the University of Virginia's Center for Advanced Computational Technology and NASA. Workshop attendees were from NASA, other government agencies, industry, and universities. The objective of the workshop was to assess the status and effectiveness of different advanced training technologies and learning environments.

  4. Gendered learning environments in managerial work

    OpenAIRE

    Gustavsson, Maria; Fogelberg Eriksson, Anna

    2010-01-01

    The aim is to investigate female and male managers’ learning environments with particular focus on their opportunities for and barriers to learning and career development in the managerial work of a male-dominated industrial company. In the case study 42 managers, 15 women and 27 men in the company were interviewed. The findings demonstrate that the male managers were provided with significantly richer opportunities to participate in activities conducive to learning and career development tha...

  5. Playing SNES in the Retro Learning Environment

    OpenAIRE

    Bhonker, Nadav; Rozenberg, Shai; Hubara, Itay

    2016-01-01

    Mastering a video game requires skill, tactics and strategy. While these attributes may be acquired naturally by human players, teaching them to a computer program is a far more challenging task. In recent years, extensive research was carried out in the field of reinforcement learning and numerous algorithms were introduced, aiming to learn how to perform human tasks such as playing video games. As a result, the Arcade Learning Environment (ALE) (Bellemare et al., 2013) has become a commonly...

  6. Gendered Learning Environments in Managerial Work

    Science.gov (United States)

    Gustavsson, Maria; Eriksson, Anna Fogelberg

    2010-01-01

    The aim is to investigate female and male managers' learning environments with particular focus on their opportunities for and barriers to learning and career development in the managerial work of a male-dominated industrial company. In the case study 42 managers, 15 women and 27 men in the company were interviewed. The findings demonstrate that…

  7. Creating sustainable empowering learning environments through ...

    African Journals Online (AJOL)

    ... as these impede optimal learning especially among rural and immigrant communities in South Africa, Canada and the world over. The primary focus of all papers herein therefore is on the creation of sustainable empowering learning environments through engaged scholarship spearheaded by the university.

  8. The new learning environment is personal

    NARCIS (Netherlands)

    De Vries, P.

    2013-01-01

    In a traditional sense the learning environment is qualified as the institutional setting for the teaching and learning to take place. This comprises the students, the teachers, management, the services and all the buildings, the classrooms, the equipment, the tools and laboratories that constitute

  9. Communicating the Library as a Learning Environment

    Science.gov (United States)

    Nitecki, Danuta A.; Simpson, Katherine

    2016-01-01

    Lack of commonly used vocabulary for informal learning environments hinders precise communication concerning what is observed, assessed, and understood about the relationship between space and learning. This study empirically extends taxonomies of terms and phrases that describe such relationships through content analysis of descriptions of…

  10. Blue colour preference in honeybees distracts visual attention for learning closed shapes.

    Science.gov (United States)

    Morawetz, Linde; Svoboda, Alexander; Spaethe, Johannes; Dyer, Adrian G

    2013-10-01

    Spatial vision is an important cue for how honeybees (Apis mellifera) find flowers, and previous work has suggested that spatial learning in free-flying bees is exclusively mediated by achromatic input to the green photoreceptor channel. However, some data suggested that bees may be able to use alternative channels for shape processing, and recent work shows conditioning type and training length can significantly influence bee learning and cue use. We thus tested the honeybees' ability to discriminate between two closed shapes considering either absolute or differential conditioning, and using eight stimuli differing in their spectral characteristics. Consistent with previous work, green contrast enabled reliable shape learning for both types of conditioning, but surprisingly, we found that bees trained with appetitive-aversive differential conditioning could additionally use colour and/or UV contrast to enable shape discrimination. Interestingly, we found that a high blue contrast initially interferes with bee shape learning, probably due to the bees innate preference for blue colours, but with increasing experience bees can learn a variety of spectral and/or colour cues to facilitate spatial learning. Thus, the relationship between bee pollinators and the spatial and spectral cues that they use to find rewarding flowers appears to be a more rich visual environment than previously thought.

  11. Transferring managerial learning back to the workplace : the influence of personality and the workplace environment

    OpenAIRE

    Belling, Ruth

    2000-01-01

    This thesis identifies the influences of individual characteristics, particularly psychological type preferences, and workplace environment features, on managers’ perceptions of the barriers and facilitators to transferring their learning from management development programmes. In doing so, it provides information and insights to help increase understanding of the transfer of learning process through the building of a model of transfer. Guided by a Realist perspective, this ...

  12. Invited Reaction: Influences of Formal Learning, Personal Learning Orientation, and Supportive Learning Environment on Informal Learning

    Science.gov (United States)

    Cseh, Maria; Manikoth, Nisha N.

    2011-01-01

    As the authors of the preceding article (Choi and Jacobs, 2011) have noted, the workplace learning literature shows evidence of the complementary and integrated nature of formal and informal learning in the development of employee competencies. The importance of supportive learning environments in the workplace and of employees' personal learning…

  13. 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.

  14. Learning preferences from paired opposite-based semantics

    DEFF Research Database (Denmark)

    Franco de los Ríos, Camilo; Rodríguez, J. Tinguaro; Montero, Javier

    2017-01-01

    Preference semantics examine the meaning of the preference predicate, according to the way that alternatives can be understood and organized for decision making purposes. Through opposite-based semantics, preference structures can be characterized by their paired decomposition of preference...... on the character of opposition, the compound meaning of preference emerges from the fuzzy reinforcement of paired opposite concepts, searching for significant evidence for affirming dominance among the decision objects. Here we propose a general model for the paired decomposition of preference, examining its...

  15. Creating adaptive environment for e-learning courses

    Directory of Open Access Journals (Sweden)

    Bozidar Radenkovic

    2009-06-01

    Full Text Available In this paper we provide an approach to creating adaptive environment for e-learning courses. In the context of e-education, successful adaptation has to be performed upon learners’ characteristics. Currently, modeling and discovering users’ needs, goals, knowledge preferences and motivations is one of the most challenging tasks in e-learning systems that deal with large volumes of information. Primary goal of the research is to perform personalizing of distance education system, according to students’ learning styles. Main steps and requirements in applying business intelligence techniques in process of personalization are identified. In addition, we propose generic model and architecture of an adaptive e-learning system by describing the structure of an adaptive course and exemplify correlations among e-learning course content and different learning styles. Moreover, research that dealt with application of data mining technique in a real e-learning system was carried out. We performed adaptation of our e-learning courses using the results from the research.

  16. 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…

  17. Farmer, Agent, and Specialist Perspectives on Preferences for Learning among Today's Farmers

    Science.gov (United States)

    Franz, Nancy K.; Piercy, Fred; Donaldson, Joseph; Westbrook, Johnnie; Richard, Robert

    2010-01-01

    Few studies have examined the types of educational delivery methods preferred by farmers (Eckert & Bell, 2005; Eckert & Bell, 2006). The research project reported here explored the preferred learning methods of farmers in Louisiana, Tennessee, and Virginia. Data on learning methods collected directly from farmers were compared with…

  18. Introduction to Psychology Students' Parental Status Predicts Learning Preferences and Life Meaning

    Science.gov (United States)

    Lovell, Elyse D'nn; Munn, Nathan

    2017-01-01

    This study explores Introduction to Psychology students' learning preferences and their personal search for meaning while considering their parental status. The findings suggest that parents show preferences for project-based learning and have lower levels of searching for meaning than non-parents. When parental status, age, and finances were…

  19. Adult Learners' Preferred Methods of Learning Preventative Heart Disease Care

    Science.gov (United States)

    Alavi, Nasim

    2016-01-01

    The purpose of this study was to investigate the preferred method of learning about heart disease by adult learners. This research study also investigated if there was a statistically significant difference between race/ethnicity, age, and gender of adult learners and their preferred method of learning preventative heart disease care. This…

  20. Personalized learning Ecologies in Problem and Project Based Learning Environments

    DEFF Research Database (Denmark)

    Rongbutsri, Nikorn; Ryberg, Thomas; Zander, Pär-Ola

    2012-01-01

    is in contrast to an artificial learning setting often found in traditional education. As many other higher education institutions, Aalborg University aims at providing learning environments that support the underlying pedagogical approach employed, and which can lead to different online and offline learning.......g. coordination, communication, negotiation, document sharing, calendars, meetings and version control. Furthermore, the pedagogical fabric of LMSs/VLEs have recently been called into question and critiqued by proponents of Personal Learning Environments (PLEs)(Ryberg, Buus, & Georgsen, 2011) . In sum....... making it important to understand and conceptualise students’ use of technology. Ecology is the study of relationship between organisms in an environment which is the set of circumstances surrounding that organism. Learning ecologies are the study of the relationship of a learner or a group of learners...

  1. 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…

  2. The Effectiveness of Blended Learning Environments

    Science.gov (United States)

    Eryilmaz, Meltem

    2015-01-01

    The object of this experimental study is to measure the effectiveness of a blended learning environment which is laid out on the basis of features for face to face and online environments. The study was applied to 110 students who attend to Atilim University, Ankara, Turkey and take Introduction to Computers Course. During the application,…

  3. Learning strategy preferences, verbal-visual cognitive styles, and multimedia preferences for continuing engineering education instructional design

    Science.gov (United States)

    Baukal, Charles Edward, Jr.

    A literature search revealed very little information on how to teach working engineers, which became the motivation for this research. Effective training is important for many reasons such as preventing accidents, maximizing fuel efficiency, minimizing pollution emissions, and reducing equipment downtime. The conceptual framework for this study included the development of a new instructional design framework called the Multimedia Cone of Abstraction (MCoA). This was developed by combining Dale's Cone of Experience and Mayer's Cognitive Theory of Multimedia Learning. An anonymous survey of 118 engineers from a single Midwestern manufacturer was conducted to determine their demographics, learning strategy preferences, verbal-visual cognitive styles, and multimedia preferences. The learning strategy preference profile and verbal-visual cognitive styles of the sample were statistically significantly different than the general population. The working engineers included more Problem Solvers and were much more visually-oriented than the general population. To study multimedia preferences, five of the seven levels in the MCoA were used. Eight types of multimedia were compared in four categories (types in parantheses): text (text and narration), static graphics (drawing and photograph), non-interactive dynamic graphics (animation and video), and interactive dynamic graphics (simulated virtual reality and real virtual reality). The first phase of the study examined multimedia preferences within a category. Participants compared multimedia types in pairs on dual screens using relative preference, rating, and ranking. Surprisingly, the more abstract multimedia (text, drawing, animation, and simulated virtual reality) were preferred in every category to the more concrete multimedia (narration, photograph, video, and real virtual reality), despite the fact that most participants had relatively little prior subject knowledge. However, the more abstract graphics were only slightly

  4. Digital Learning Environments: New possibilities and opportunities

    Directory of Open Access Journals (Sweden)

    Otto Peters

    2000-06-01

    Full Text Available This paper deals with the general problem whether and, if so, how far the impact of the digitised learning environment on our traditional distance education will change the way in which teachers teach and learners learn. Are the dramatic innovations a menace to established ways of learning and teaching or are they the panacea to overcome some of the difficulties of our system of higher learning and to solve some of our educational problems caused by the big and far-reaching educational paradigm shift? This paper will not deal with technical or technological achievements in the field of information and communication which are, of course, revolutionary and to be acknowledged and admired. Rather, the digital learning environment will be analysed from a pedagogical point of view in order to find out what exactly are the didactic possibilities and opportunities and what are its foreseeable disadvantages.

  5. Personal Learning Environment – a Conceptual Study

    Directory of Open Access Journals (Sweden)

    Herbert Mühlburger

    2010-01-01

    Full Text Available The influence of digital technologies as well as the World Wide Web on education rises dramatically. In former years Learning Management Systems (LMS were introduced on educational institutes to address the needs both their institutions and their lecturers. Nowadays a shift from an institution-centered approach to a learner-centered one becomes necessary to allow individuality through the learning process and to think about learning strategies in general. In this paper a first approach of a Personal Learning Environment (PLE is described. The technological concept is pointed out as well as a study about the graphical user-interface done at Graz University of Technology (TU Graz. It can be concluded that PLEs are the next generation environments, which help to improve the learning and teaching behavior

  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. How People Learn in an Asynchronous Online Learning Environment: The Relationships between Graduate Students' Learning Strategies and Learning Satisfaction

    Science.gov (United States)

    Choi, Beomkyu

    2016-01-01

    The purpose of this study was to examine the relationships between learners' learning strategies and learning satisfaction in an asynchronous online learning environment. In an attempt to shed some light on how people learn in an online learning environment, one hundred and sixteen graduate students who were taking online learning courses…

  8. Innate colour preference, individual learning and memory retention in the ant Camponotus blandus.

    Science.gov (United States)

    Yilmaz, Ayse; Dyer, Adrian G; Rössler, Wolfgang; Spaethe, Johannes

    2017-09-15

    Ants are a well-characterized insect model for the study of visual learning and orientation, but the extent to which colour vision is involved in these tasks remains unknown. We investigated the colour preference, learning and memory retention of Camponotus blandus foragers under controlled laboratory conditions. Our results show that C. blandus foragers exhibit a strong innate preference for ultraviolet (UV, 365 nm) over blue (450 nm) and green (528 nm) wavelengths. The ants can learn to discriminate 365 nm from either 528 nm or 450 nm, independent of intensity changes. However, they fail to discriminate between 450 nm and 528 nm. Modelling of putative colour spaces involving different numbers of photoreceptor types revealed that colour discrimination performance of individual ants is best explained by dichromacy, comprising a short-wavelength (UV) receptor with peak sensitivity at about 360 nm, and a long-wavelength receptor with peak sensitivity between 470 nm and 560 nm. Foragers trained to discriminate blue or green from UV light are able to retain the learned colour information in an early mid-term (e-MTM), late mid-term (l-MTM), early long-term (e-LTM) and late long-term (l-LTM) memory from where it can be retrieved after 1 h, 12 h, 24 h, 3 days and 7 days after training, indicating that colour learning may induce different memory phases in ants. Overall, our results show that ants can use chromatic information in a way that should promote efficient foraging in complex natural environments. © 2017. Published by The Company of Biologists Ltd.

  9. Clinical learning environments: place, artefacts and rhythm.

    Science.gov (United States)

    Sheehan, Dale; Jowsey, Tanisha; Parwaiz, Mariam; Birch, Mark; Seaton, Philippa; Shaw, Susan; Duggan, Alison; Wilkinson, Tim

    2017-10-01

    Health care practitioners learn through experience in clinical environments in which supervision is a key component, but how that learning occurs outside the supervision relationship remains largely unknown. This study explores the environmental factors that inform and support workplace learning within a clinical environment. An observational study drawing on ethnographic methods was undertaken in a general medicine ward. Observers paid attention to interactions among staff members that involved potential teaching and learning moments that occurred and were visible in the course of routine work. General purpose thematic analysis of field notes was undertaken. A total of 376 observations were undertaken and documented. The findings suggest that place (location of interaction), rhythm (regularity of activities occurring in the ward) and artefacts (objects and equipment) were strong influences on the interactions and exchanges that occurred. Each of these themes had inherent tensions that could promote or inhibit engagement and therefore learning opportunities. Although many learning opportunities were available, not all were taken up or recognised by the participants. We describe and make explicit how the natural environment of a medical ward and flow of work through patient care contribute to the learning architecture, and how this creates or inhibits opportunities for learning. Awareness of learning opportunities was often tacit and not explicit for either supervisor or learner. We identify strategies through which tensions inherent within space, artefacts and the rhythms of work can be resolved and learning opportunities maximised. © 2017 John Wiley & Sons Ltd and The Association for the Study of Medical Education.

  10. 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

  11. The Learning Preferences of Applicants Who Interview for General Surgery Residency: A Multiinstitutional Study.

    Science.gov (United States)

    Kim, Roger H; Kurtzman, Scott H; Collier, Ashley N; Shabahang, Mohsen M

    Learning styles theory posits that learners have distinct preferences for how they assimilate new information. The VARK model categorizes learners based on combinations of 4 learning preferences: visual (V), aural (A), read/write (R), and kinesthetic (K). A previous single institution study demonstrated that the VARK preferences of applicants who interview for general surgery residency are different from that of the general population and that learning preferences were associated with performance on standardized tests. This multiinstitutional study was conducted to determine the distribution of VARK preferences among interviewees for general surgery residency and the effect of those preferences on United States Medical Licensing Examination (USMLE) scores. The VARK learning inventory was administered to applicants who interviewed at 3 general surgery programs during the 2014 to 2015 academic year. The distribution of VARK learning preferences among interviewees was compared with that of the general population of VARK respondents. Performance on USMLE Step 1 and Step 2 Clinical Knowledge was analyzed for associations with VARK learning preferences. Chi-square, analysis of variance, and Dunnett's test were used for statistical analysis, with p learning modality. The distribution of VARK preferences of interviewees was different than that of the general population (p = 0.02). By analysis of variance, there were no overall differences in USMLE Step 1 and Step 2 Clinical Knowledge scores by VARK preference (p = 0.06 and 0.21, respectively). However, multiple comparison analysis using Dunnett's test revealed that interviewees with R preferences had significantly higher scores than those with multimodal preferences on USMLE Step 1 (239 vs. 222, p = 0.02). Applicants who interview for general surgery residency have a different pattern of VARK preferences than that of the general population. Interviewees with preferences for read/write learning modalities have higher scores

  12. Engaging Students' Learning Through a Blended Environment

    Directory of Open Access Journals (Sweden)

    Andrew Stuart

    2013-05-01

    Full Text Available Within the furniture manufacturing industry a high proportion of occupational accidents are as a result of non-compliance to machining regulations and incorrect work practices. Safety training plays an important role in reducing accidents and promoting a safety culture within this sector. This article details an action research study undertaken during the first year of a new Degree in Timber Product Technology, which set out to evaluate the impact a blended learning environment and reusable learning objects (RLOs could have on promoting safe work practices and a safety culture amongst students. A constructivist approach was taken and the module design was underpinned by Kolb’s model of experiential learning, placing more responsibility on the learners for their own learning and encouraging them to reflect upon their experiences. The findings of this study suggest that students with prior industry machining experience required a change in their attitude to machining which was achieved within the practical labs, while students with no machining experiences were intimidated by the learning environment in the practical labs but whose learning experience was enhanced through the use of RLOs and other eLearning resources. In order to reduce occupational accidents in the furniture manufacturing industry the promotion of continuing professional development (CPD training courses is required in order to change workers’ behaviour to machine safety and encourage lifelong learning so as to promote a safety culture within the furniture manufacturing industry.

  13. Students’ Motivation for Learning in Virtual Learning Environments

    Directory of Open Access Journals (Sweden)

    Andrea Carvalho Beluce

    2015-04-01

    Full Text Available The specific characteristics of online education require of the student engagement and autonomy, factors which are related to motivation for learning. This study investigated students’ motivation in virtual learning environments (VLEs. For this, it used the Teaching and Learning Strategy and Motivation to Learn Scale in Virtual Learning Environments (TLSM-VLE. The scale presented 32 items and six dimensions, three of which aimed to measure the variables of autonomous motivation, controlled motivation, and demotivation. The participants were 572 students from the Brazilian state of Paraná, enrolled on higher education courses on a continuous education course. The results revealed significant rates for autonomous motivational behavior. It is considered that the results obtained may provide contributions for the educators and psychologists who work with VLEs, leading to further studies of the area providing information referent to the issue investigated in this study.

  14. Towards a Quality Assessment Method for Learning Preference Profiles in Negotiation

    Science.gov (United States)

    Hindriks, Koen V.; Tykhonov, Dmytro

    In automated negotiation, information gained about an opponent's preference profile by means of learning techniques may significantly improve an agent's negotiation performance. It therefore is useful to gain a better understanding of how various negotiation factors influence the quality of learning. The quality of learning techniques in negotiation are typically assessed indirectly by means of comparing the utility levels of agreed outcomes and other more global negotiation parameters. An evaluation of learning based on such general criteria, however, does not provide any insight into the influence of various aspects of negotiation on the quality of the learned model itself. The quality may depend on such aspects as the domain of negotiation, the structure of the preference profiles, the negotiation strategies used by the parties, and others. To gain a better understanding of the performance of proposed learning techniques in the context of negotiation and to be able to assess the potential to improve the performance of such techniques a more systematic assessment method is needed. In this paper we propose such a systematic method to analyse the quality of the information gained about opponent preferences by learning in single-instance negotiations. The method includes measures to assess the quality of a learned preference profile and proposes an experimental setup to analyse the influence of various negotiation aspects on the quality of learning. We apply the method to a Bayesian learning approach for learning an opponent's preference profile and discuss our findings.

  15. 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.

  16. Learning Environment Facilitating Educational Achievements of Teenagers

    OpenAIRE

    Šūmane, Ilze

    2012-01-01

    ABSTRACT. The doctoral thesis of Ilze Šūmane in pedagogy science, school pedagogy sub-discipline ”Learning environment facilitating educational achievements of teenagers” was worked out in the Department of Pedagogy, Faculty of Pedagogy, Psychology and Arts, University of Latvia, under the supervision of Dr.paed., professor Rudīte Andersone from2001 till 2011. The topicality of the research determined by the necessity to improve quality learning and education. During an effective study ...

  17. The sociability of computer-supported collaborative learning environments

    NARCIS (Netherlands)

    Kreijns, C.J.; Kirschner, P.A.; Jochems, W.M.G.

    2002-01-01

    There is much positive research on computer-supported collaborative learning (CSCL) environments in asynchronous distributed learning groups (DLGs). There is also research that shows that contemporary CSCL environments do not completely fulfil expectations on supporting interactive group learning,

  18. Ethnography in the Danish Veterinary Learning Environment

    Directory of Open Access Journals (Sweden)

    Camilla Kirketerp Nielsen

    2015-11-01

    Full Text Available The overall objective of this project is research-based development, implementation and evaluation of a game-based learning concept to be used in the veterinary education. Herd visits and animal contact are essential for the development of veterinary competences and skills during education. Yet veterinary students have little occasion to reach/attain a proper level of confidence in their own skills/abilities, as they have limited “training-facilities” (Kneebone & Baillie, 2008. One possible solution mightbe to provide a safe, virtual environment (game-based where students could practise interdisciplinary clinical skills in an easily-accessible, interactive setting. A playable demo using Classical Swine Fever in a pig herd as an example has been produced for this purpose. In order totailor the game concept to the specific veterinary learning environment and to ensure compliance with both learning objectives and the actual learning processes/procedures of the veterinary students, the project contains both a developmental aspect (game development and an exploration of the academic (scholastic and profession (practice oriented learning context. The initial phase of the project was a preliminary exploration of the actual learning context, providing an important starting point for the upcoming phase in which I will concentrate on research-based development, implementation and evaluation of a game-based virtual environment in this course context. In the academic (scholastic and profession (practice oriented learning context of a veterinary course in Herd Health Management (Pig module,ethnographic studies have been conducted by using multiple data collection methods; participant observation, spontaneous dialogues and interviews (Borgnakke, 1996; Hammersley & Atkinson, 2007. All courserelated activities in the different learning spaces (commercial pig herds, auditoriums, post-mortem examinations, independent group work were followed.This paper will

  19. Creating a Learning Environment for Engineering Education

    DEFF Research Database (Denmark)

    Christensen, Hans Peter

    2004-01-01

    Until recently discussions about improvement of educational quality have focussed on the teacher – it was as-sumed that by training the teacher you could increase the students’ learning outcome. Realising that other changes than better teaching were necessary to give the students more useful......? And the introduction of IT has highlighted the importance of the learning environment, but the focus has narrowly been on the physical environment. However, the mental frame-work is also very important. To assure educational quality it is necessary to take all these elements into account and consider the total...

  20. A Study on Evaluation of Living Environment by Students' Preferences in Residences

    OpenAIRE

    鶴崎, 直樹; 坂井, 猛; 上野, 武; 有馬, 隆文; Tsurusaki, Naoki; Sakai, Takeru; Ueno, Takeshi; Arima, Takafumi

    2006-01-01

    The purpose of this paper was to construct a living quarters environment evaluation method by surveying students' preferences in residences and to apply the evaluation method to the Kyushu University Hakozaki campus so as to inspect the method's efficacy and applicability to a new campus. The obtained results included: 1)information about preferences in residence selection by students attending Kyushu University. 2)proof of efficacy from the viewpoint of students in the Kyushu University Hako...

  1. The Relationship among Self-Regulated Learning, Procrastination, and Learning Behaviors in Blended Learning Environment

    Science.gov (United States)

    Yamada, Masanori; Goda, Yoshiko; Matsuda, Takeshi; Kato, Hiroshi; Miyagawa, Hiroyuki

    2015-01-01

    This research aims to investigate the relationship among the awareness of self-regulated learning (SRL), procrastination, and learning behaviors in blended learning environment. One hundred seventy nine freshmen participated in this research, conducted in the blended learning style class using learning management system. Data collection was…

  2. Socio-Demographic Effects on Digital Libraries Preference and Use: A Case Study at Higher Learning Institutions

    OpenAIRE

    A. K. Razilan; A. B. Amzari; B. Ap-azli; A. R. Safawi

    2013-01-01

    Explosion in information management and information system technology has brought dramatic changes in learning and library system environments. The use of academic digital libraries does witness the spectacular impact on academic societies’ way of performing their study in Malaysia, a country with a multi-racial people. This paper highlights a research on examining the socio-demographic differences on the preference and use of academic digital libraries as compared to physical libraries at hi...

  3. A Preliminary Survey of the Preferred Learning Methods for Interpretation Students

    Science.gov (United States)

    Heinz, Michael

    2013-01-01

    There are many different methods that individuals use to learn languages like reading books or writing essays. Not all methods are equally successful for second language learners but nor do all successful learners of a second language show identical preferences for learning methods. Additionally, at the highest level of language learning various…

  4. Characterizing Engineering Learners' Preferences for Active and Passive Learning Methods

    Science.gov (United States)

    Magana, Alejandra J.; Vieira, Camilo; Boutin, Mireille

    2018-01-01

    This paper studies electrical engineering learners' preferences for learning methods with various degrees of activity. Less active learning methods such as homework and peer reviews are investigated, as well as a newly introduced very active (constructive) learning method called "slectures," and some others. The results suggest that…

  5. What Learning Analytics‐Based Prediction Models Tell Us About Feedback Preferences of Students

    NARCIS (Netherlands)

    Nguyen, Quan; Tempelaar, Dirk; Rienties, Bart; Giesbers, Bas

    2016-01-01

    Learning analytics seeks to enhance learning processes through systematic measurements of learning-related data and to provide informative feedback to learners and educators (Siemens & Long, 2011). This study examined the use of preferred feedback modes in students by using a dispositional

  6. 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…

  7. The Influence of Emotions and Learning Preferences on Learning Strategy Use before Transition into High-Achiever Track Secondary School

    Science.gov (United States)

    Obergriesser, Stefanie; Stoeger, Heidrun

    2016-01-01

    Research on the relationships between students' achievement emotions and their (self-regulated) learning behavior is growing. However, little is known about the relationships between students' learning preferences and achievement emotions and the extent to which these influence learning strategies. In this study we, first, looked at the…

  8. Enhancing the Learning Environment by Learning all the Students' Names

    DEFF Research Database (Denmark)

    Jørgensen, Anker Helms

    the method to learn all the students' names enhances the learning environment substantially.  ReferencesCranton, Patricia (2001) Becoming an authentic teacher in higher education. Malabar, Florida: Krieger Pub. Co.Wiberg, Merete (2011): Personal email communication June 22, 2011.Woodhead, M. M. and Baddeley......Short abstract This paper describes how the teaching environment can be enhanced significantly by a simple method: learning the names of all the students. The method is time-efficient: In a course with 33 students I used 65 minutes in total. My own view of the effect was confirmed in a small study......: The students felt more valued, secure and respected. They also made an effort to learn each other's names. Long abstract In high school teachers know the students' names very soon - anything else is unthinkable (Wiberg, 2011). Not so in universities where knowing the names of all the students is the exception...

  9. 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.

  10. 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.

  11. 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.

  12. Utilising learning environment assessments to improve teaching ...

    African Journals Online (AJOL)

    We examined the viability of using feedback from a learning environment instrument to guide improvements in the teaching practices of in-service teachers undertaking a distance-education programme. The 31 teachers involved administered a primary school version of the What Is Happening In this Class?

  13. Educational Ethnography in Blended Learning Environments

    Science.gov (United States)

    Antoniadou, Victoria; Dooly, Melinda

    2017-01-01

    This chapter aims to answer some of the questions that emerge when carrying out educational ethnography in a blended learning environment. The authors first outline how Virtual Ethnography (VE) has been developed and applied by other researchers. Then, to better illustrate the approach, they describe a doctoral research project that implemented…

  14. Alternative Learning Environments in the Elementary School.

    Science.gov (United States)

    Davis, Eugene D.

    This paper outlines a program utilized in the Countryside School which offers alternative learning environments in the elementary school. The program includes (1) semi-departmentalization; (2) team teaching; and (3) an open-alternatives program. Each of these areas is outlined and fully discussed in terms of student and parent needs. (YRJ)

  15. Measuring the clinical learning environment in anaesthesia.

    Science.gov (United States)

    Smith, N A; Castanelli, D J

    2015-03-01

    The learning environment describes the way that trainees perceive the culture of their workplace. We audited the learning environment for trainees throughout Australia and New Zealand in the early stages of curriculum reform. A questionnaire was developed and sent electronically to a large random sample of Australian and New Zealand College of Anaesthetists trainees, with a 26% final response rate. This new instrument demonstrated good psychometric properties, with Cronbach's α ranging from 0.81 to 0.91 for each domain. The median score was equivalent to 78%, with the majority of trainees giving scores in the medium range. Introductory respondents scored their learning environment more highly than all other levels of respondents (P=0.001 for almost all comparisons). We present a simple questionnaire instrument that can be used to determine characteristics of the anaesthesia learning environment. The instrument can be used to help assess curricular change over time, alignment of the formal and informal curricula and strengths and weaknesses of individual departments.

  16. The Classroom Environment Study: Teaching for Learning.

    Science.gov (United States)

    Anderson, Lorin W.

    1987-01-01

    The IEA's Classroom Environment Study, implemented in grades 5-9 in 9 countries, examined effects on student outcomes of home, community, school, teacher, and student characteristics and classroom practices. Across countries, course content varied widely, but teachers relied on relatively few classroom behaviors. Student learning was affected by…

  17. A Machine Learning Recommender System to Tailor Preference Assessments to Enhance Person-Centered Care Among Nursing Home Residents.

    Science.gov (United States)

    Gannod, Gerald C; Abbott, Katherine M; Van Haitsma, Kimberly; Martindale, Nathan; Heppner, Alexandra

    2018-05-21

    Nursing homes (NHs) using the Preferences for Everyday Living Inventory (PELI-NH) to assess important preferences and provide person-centered care find the number of items (72) to be a barrier to using the assessment. Using a sample of n = 255 NH resident responses to the PELI-NH, we used the 16 preference items from the MDS 3.0 Section F to develop a machine learning recommender system to identify additional PELI-NH items that may be important to specific residents. Much like the Netflix recommender system, our system is based on the concept of collaborative filtering whereby insights and predictions (e.g., filters) are created using the interests and preferences of many users. The algorithm identifies multiple sets of "you might also like" patterns called association rules, based upon responses to the 16 MDS preferences that recommends an additional set of preferences with a high likelihood of being important to a specific resident. In the evaluation of the combined apriori and logistic regression approach, we obtained a high recall performance (i.e., the ratio of correctly predicted preferences compared with all predicted preferences and nonpreferences) and high precision (i.e., the ratio of correctly predicted rules with respect to the rules predicted to be true) of 80.2% and 79.2%, respectively. The recommender system successfully provides guidance on how to best tailor the preference items asked of residents and can support preference capture in busy clinical environments, contributing to the feasibility of delivering person-centered care.

  18. Orientation Preferences and Motion Sickness Induced in a Virtual Reality Environment.

    Science.gov (United States)

    Chen, Wei; Chao, Jian-Gang; Zhang, Yan; Wang, Jin-Kun; Chen, Xue-Wen; Tan, Cheng

    2017-10-01

    Astronauts' orientation preferences tend to correlate with their susceptibility to space motion sickness (SMS). Orientation preferences appear universally, since variable sensory cue priorities are used between individuals. However, SMS susceptibility changes after proper training, while orientation preferences seem to be intrinsic proclivities. The present study was conducted to investigate whether orientation preferences change if susceptibility is reduced after repeated exposure to a virtual reality (VR) stimulus environment that induces SMS. A horizontal supine posture was chosen to create a sensory context similar to weightlessness, and two VR devices were used to produce a highly immersive virtual scene. Subjects were randomly allocated to an experimental group (trained through exposure to a provocative rotating virtual scene) and a control group (untrained). All subjects' orientation preferences were measured twice with the same interval, but the experimental group was trained three times during the interval, while the control group was not. Trained subjects were less susceptible to SMS, with symptom scores reduced by 40%. Compared with untrained subjects, trained subjects' orientation preferences were significantly different between pre- and posttraining assessments. Trained subjects depended less on visual cues, whereas few subjects demonstrated the opposite tendency. Results suggest that visual information may be inefficient and unreliable for body orientation and stabilization in a rotating visual scene, while reprioritizing preferences for different sensory cues was dynamic and asymmetric between individuals. The present findings should facilitate customization of efficient and proper training for astronauts with different sensory prioritization preferences and dynamic characteristics.Chen W, Chao J-G, Zhang Y, Wang J-K, Chen X-W, Tan C. Orientation preferences and motion sickness induced in a virtual reality environment. Aerosp Med Hum Perform. 2017

  19. Monoracial and Biracial Children: Effects of Racial Identity Saliency on Social Learning and Social Preferences

    Science.gov (United States)

    Gaither, Sarah E.; Chen, Eva E.; Corriveau, Kathleen H.; Harris, Paul L.; Ambady, Nalini; Sommers, Samuel R.

    2014-01-01

    Children prefer learning from, and affiliating with, their racial ingroup but those preferences may vary for biracial children. Monoracial (White, Black, Asian) and biracial (Black/White, Asian/White) children (N=246, 3–8 years) had their racial identity primed. In a learning preferences task, participants determined the function of a novel object after watching adults (White, Black, and Asian) demonstrate its uses. In the social preferences task, participants saw pairs of children (White, Black, and Asian) and chose with whom they most wanted to socially affiliate. Biracial children showed flexibility in racial identification during learning and social tasks. However, minority-primed biracial children were not more likely than monoracial minorities to socially affiliate with primed racial ingroup members, indicating their ingroup preferences are contextually based. PMID:25040708

  20. Hipatia: a hypermedia learning environment in mathematics

    Directory of Open Access Journals (Sweden)

    Marisol Cueli

    2016-01-01

    Full Text Available Literature revealed the benefits of different instruments for the development of mathematical competence, problem solving, self-regulated learning, affective-motivational aspects and intervention in students with specific difficulties in mathematics. However, no one tool combined all these variables. The aim of this study is to present and describe the design and development of a hypermedia tool, Hipatia. Hypermedia environments are, by definición, adaptive learning systems, which are usually a web-based application program that provide a personalized learning environment. This paper describes the principles on which Hipatia is based as well as a review of available technologies developed in different academic subjects. Hipatia was created to boost self-regulated learning, develop specific math skills, and promote effective problem solving. It was targeted toward fifth and sixth grade students with and without learning difficulties in mathematics. After the development of the tool, we concluded that it aligned well with the logic underlying the principles of self-regulated learning. Future research is needed to test the efficacy of Hipatia with an empirical methodology.

  1. Biological sex influences learning strategy preference and muscarinic receptor binding in specific brain regions of prepubertal rats.

    Science.gov (United States)

    Grissom, Elin M; Hawley, Wayne R; Hodges, Kelly S; Fawcett-Patel, Jessica M; Dohanich, Gary P

    2013-04-01

    According to the theory of multiple memory systems, specific brain regions interact to determine how the locations of goals are learned when rodents navigate a spatial environment. A number of factors influence the type of strategy used by rodents to remember the location of a given goal in space, including the biological sex of the learner. We recently found that prior to puberty male rats preferred a striatum-dependent stimulus-response strategy over a hippocampus-dependent place strategy when solving a dual-solution task, while age-matched females showed no strategy preference. Because the cholinergic system has been implicated in learning strategy and is known to be sexually dimorphic prior to puberty, we explored the relationship between learning strategy and muscarinic receptor binding in specific brain regions of prepubertal males and female rats. We confirmed our previous finding that at 28 days of age a significantly higher proportion of prepubertal males preferred a stimulus-response learning strategy than a place strategy to solve a dual-solution visible platform water maze task. Equal proportions of prepubertal females preferred stimulus-response or place strategies. Profiles of muscarinic receptor binding as assessed by autoradiography varied according to strategy preference. Regardless of biological sex, prepubertal rats that preferred stimulus-response strategy exhibited lower ratios of muscarinic receptor binding in the hippocampus relative to the dorsolateral striatum compared to rats that preferred place strategy. Importantly, much of the variance in this ratio was related to differences in the ventral hippocampus to a greater extent than the dorsal hippocampus. The ratios of muscarinic receptors in the hippocampus relative to the basolateral amygdala also were lower in rats that preferred stimulus-response strategy over place strategy. Results confirm that learning strategy preference varies with biological sex in prepubertal rats with males

  2. Learning under uncertainty in smart home environments.

    Science.gov (United States)

    Zhang, Shuai; McClean, Sally; Scotney, Bryan; Nugent, Chris

    2008-01-01

    Technologies and services for the home environment can provide levels of independence for elderly people to support 'ageing in place'. Learning inhabitants' patterns of carrying out daily activities is a crucial component of these technological solutions with sensor technologies being at the core of such smart environments. Nevertheless, identifying high-level activities from low-level sensor events can be a challenge, as information may be unreliable resulting in incomplete data. Our work addresses the issues of learning in the presence of incomplete data along with the identification and the prediction of inhabitants and their activities under such uncertainty. We show via the evaluation results that our approach also offers the ability to assess the impact of various sensors in the activity recognition process. The benefit of this work is that future predictions can be utilised in a proposed intervention mechanism in a real smart home environment.

  3. Honors pedagogy: tailoring learning preferences of honors and regular students for autonomy and structure

    NARCIS (Netherlands)

    Kingma, Tineke; Kamans, Elanor; Heijne, Marjolein; Wolfensberger, Marca; Jaarsma, Debbie

    2017-01-01

    Students differ in their learning preferences. When students are more intrinsically motivated this improves their well-being and involvement (Levesque, Zuehlke, Stanek, & Ryan, 2004). Teaching highly motivated honors students places different demands on teachers (Wolfensberger, 2012). High motivated

  4. Handling risk attitudes for preference learning and intelligent decision support

    DEFF Research Database (Denmark)

    Franco de los Ríos, Camilo; Hougaard, Jens Leth; Nielsen, Kurt

    2015-01-01

    Intelligent decision support should allow integrating human knowledge with efficient algorithms for making interpretable and useful recommendations on real world decision problems. Attitudes and preferences articulate and come together under a decision process that should be explicitly modeled...

  5. effects of learning styles on career preferences of senior secondary

    African Journals Online (AJOL)

    Elizabeth Egbochuku

    Ministry of Education, Science and Technology. Dutse .... bright chaps for science oriented career, the mediocre opt for career .... preference area and computed into X2 table 4 contains the analysis. ... independent social and future career. 2.

  6. The use of deep and surface learning strategies among students learning English as a foreign language in an Internet environment.

    Science.gov (United States)

    Aharony, Noa

    2006-12-01

    The learning context is learning English in an Internet environment. The examination of this learning process was based on the Biggs and Moore's teaching-learning model (Biggs & Moore, 1993). The research aims to explore the use of the deep and surface strategies in an Internet environment among EFL students who come from different socio-economic backgrounds. The results of the research may add an additional level to the understanding of students' functioning in the Internet environment. One hundred fourty-eight Israeli junior and high school students participated in this research. The methodology was based on special computer software: Screen Cam, which recorded the students' learning process. In addition, expert judges completed a questionnaire which examined and categorized the students' learning strategies. The research findings show a clear preference of participants from all socio-economic backgrounds towards the surface learning strategy. The findings also showed that students from the medium to high socio-economic background used both learning strategies more frequently than low socio-economic students. The results reflect the habits that students acquire during their adjustment process throughout their education careers. A brief encounter with the Internet learning environment apparently cannot change norms or habits, which were acquired in the non-Internet learning environment.

  7. The Predicaments of Language Learners in Traditional Learning Environments

    Science.gov (United States)

    Shafie, Latisha Asmaak; Mansor, Mahani

    2009-01-01

    Some public universities in developing countries have traditional language learning environments such as classrooms with only blackboards and furniture which do not provide conducive learning environments. These traditional environments are unable to cater for digital learners who need to learn with learning technologies. In order to create…

  8. When I Grow Up: The Relationship of "Science Learning Activation" to STEM Career Preferences

    Science.gov (United States)

    Dorph, Rena; Bathgate, Meghan E.; Schunn, Christian D.; Cannady, Matthew A.

    2018-01-01

    This paper proposes three new measures of components STEM career preferences (affinity, certainty, and goal), and then explores which dimensions of "science learning activation" (fascination, values, competency belief, and scientific sensemaking) are predictive of STEM career preferences. Drawn from the ALES14 dataset, a sample of 2938…

  9. Relationship Between Age, Experience, and Student Preference for Types of Learning Activities in Online Courses

    Directory of Open Access Journals (Sweden)

    Thomas A. Simonds

    2017-10-01

    Full Text Available In this study, two researchers explored student learning preferences in online courses. They used the scholarship of teaching and learning process as a research model, and embedded a web-based survey and online focus groups in the online courses they were teaching. After collecting data, the researchers conducted multiple logistic regression analyses to test their hypothesis that a relationship existed between some student factors and student preferences for types of online learning activities. The results of the data analysis revealed a statistically significant relationship between student age and student preference for certain types of online learning activities. Older students in the study indicated a much stronger preference for videos of the professor lecturing, while younger students tended to prefer more interactive learning strategies. Focus group comments from the older students provide insights into some of the reasons why they found watching video lectures to be helpful for their learning, and comments from younger students illustrate how they learn best in online courses. The researchers offer suggestions for online instructors based on the findings of this study, and they explain why online instructors may find the scholarship of teaching and learning research process especially helpful for both teaching and research efforts.

  10. A Well Designed School Environment Facilitates Brain Learning.

    Science.gov (United States)

    Chan, Tak Cheung; Petrie, Garth

    2000-01-01

    Examines how school design facilitates learning by complementing how the brain learns. How the brain learns is discussed and how an artistic environment, spaciousness in the learning areas, color and lighting, and optimal thermal and acoustical environments aid student learning. School design suggestions conclude the article. (GR)

  11. Ubiquitous Learning Environments in Higher Education: A Scoping Literature Review

    Science.gov (United States)

    Virtanen, Mari Aulikki; Haavisto, Elina; Liikanen, Eeva; Kääriäinen, Maria

    2018-01-01

    Ubiquitous learning and the use of ubiquitous learning environments heralds a new era in higher education. Ubiquitous learning environments enhance context-aware and seamless learning experiences available from any location at any time. They support smooth interaction between authentic and digital learning resources and provide personalized…

  12. Personal Learning Environments: A Solution for Self-Directed Learners

    Science.gov (United States)

    Haworth, Ryan

    2016-01-01

    In this paper I discuss "personal learning environments" and their diverse benefits, uses, and implications for life-long learning. Personal Learning Environments (PLEs) are Web 2.0 and social media technologies that enable individual learners the ability to manage their own learning. Self-directed learning is explored as a foundation…

  13. Construction of a Digital Learning Environment Based on Cloud Computing

    Science.gov (United States)

    Ding, Jihong; Xiong, Caiping; Liu, Huazhong

    2015-01-01

    Constructing the digital learning environment for ubiquitous learning and asynchronous distributed learning has opened up immense amounts of concrete research. However, current digital learning environments do not fully fulfill the expectations on supporting interactive group learning, shared understanding and social construction of knowledge.…

  14. Individual Aesthetic Preferences for Faces Are Shaped Mostly by Environments, Not Genes.

    Science.gov (United States)

    Germine, Laura; Russell, Richard; Bronstad, P Matthew; Blokland, Gabriëlla A M; Smoller, Jordan W; Kwok, Holum; Anthony, Samuel E; Nakayama, Ken; Rhodes, Gillian; Wilmer, Jeremy B

    2015-10-19

    Although certain characteristics of human faces are broadly considered more attractive (e.g., symmetry, averageness), people also routinely disagree with each other on the relative attractiveness of faces. That is, to some significant degree, beauty is in the "eye of the beholder." Here, we investigate the origins of these individual differences in face preferences using a twin design, allowing us to estimate the relative contributions of genetic and environmental variation to individual face attractiveness judgments or face preferences. We first show that individual face preferences (IP) can be reliably measured and are readily dissociable from other types of attractiveness judgments (e.g., judgments of scenes, objects). Next, we show that individual face preferences result primarily from environments that are unique to each individual. This is in striking contrast to individual differences in face identity recognition, which result primarily from variations in genes [1]. We thus complete an etiological double dissociation between two core domains of social perception (judgments of identity versus attractiveness) within the same visual stimulus (the face). At the same time, we provide an example, rare in behavioral genetics, of a reliably and objectively measured behavioral characteristic where variations are shaped mostly by the environment. The large impact of experience on individual face preferences provides a novel window into the evolution and architecture of the social brain, while lending new empirical support to the long-standing claim that environments shape individual notions of what is attractive. Copyright © 2015 Elsevier Ltd. All rights reserved.

  15. 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...

  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. The Videoconferencing Learning Environment: Technology, Interaction and Learning Intersect

    Science.gov (United States)

    Saw, K. G.; Majid, Omar; Ghani, N. Abdul; Atan, H.; Idrus, R. M.; Rahman, Z. A.; Tan, K. E.

    2008-01-01

    This paper is a study on the interaction patterns of distance learners enrolled in the Mathematics and Physics programmes of Universiti Sains Malaysia in the videoconferencing learning environment (VCLE). Interaction patterns are analysed in six randomly chosen videoconferencing sessions within one academic year. The findings show there are more…

  18. Greenery in the university environment: Students’ preferences and perceived restoration likelihood

    Science.gov (United States)

    2018-01-01

    A large body of evidence shows that interaction with greenery can be beneficial for human stress reduction, emotional states, and improved cognitive function. It can, therefore, be expected that university students might benefit from greenery in the university environment. Before investing in real-life interventions in a university environment, it is necessary to first explore students’ perceptions of greenery in the university environment. This study examined (1) preference for university indoor and outdoor spaces with and without greenery (2) perceived restoration likelihood of university outdoor spaces with and without greenery and (3) if preference and perceived restoration likelihood ratings were modified by demographic characteristics or connectedness to nature in Dutch university students (N = 722). Digital photographic stimuli represented four university spaces (lecture hall, classroom, study area, university outdoor space). For each of the three indoor spaces there were four or five stimuli conditions: (1) the standard design (2) the standard design with a colorful poster (3) the standard design with a nature poster (4) the standard design with a green wall (5) the standard design with a green wall plus interior plants. The university outdoor space included: (1) the standard design (2) the standard design with seating (3) the standard design with colorful artifacts (4) the standard design with green elements (5) the standard design with extensive greenery. Multi-level analyses showed that students gave higher preference ratings to the indoor spaces with a nature poster, a green wall, or a green wall plus interior plants than to the standard designs and the designs with the colorful posters. Students also rated preference and perceived restoration likelihood of the outdoor spaces that included greenery higher than those without. Preference and perceived restoration likelihood were not modified by demographic characteristics, but students with strong

  19. Greenery in the university environment: Students' preferences and perceived restoration likelihood.

    Directory of Open Access Journals (Sweden)

    Nicole van den Bogerd

    Full Text Available A large body of evidence shows that interaction with greenery can be beneficial for human stress reduction, emotional states, and improved cognitive function. It can, therefore, be expected that university students might benefit from greenery in the university environment. Before investing in real-life interventions in a university environment, it is necessary to first explore students' perceptions of greenery in the university environment. This study examined (1 preference for university indoor and outdoor spaces with and without greenery (2 perceived restoration likelihood of university outdoor spaces with and without greenery and (3 if preference and perceived restoration likelihood ratings were modified by demographic characteristics or connectedness to nature in Dutch university students (N = 722. Digital photographic stimuli represented four university spaces (lecture hall, classroom, study area, university outdoor space. For each of the three indoor spaces there were four or five stimuli conditions: (1 the standard design (2 the standard design with a colorful poster (3 the standard design with a nature poster (4 the standard design with a green wall (5 the standard design with a green wall plus interior plants. The university outdoor space included: (1 the standard design (2 the standard design with seating (3 the standard design with colorful artifacts (4 the standard design with green elements (5 the standard design with extensive greenery. Multi-level analyses showed that students gave higher preference ratings to the indoor spaces with a nature poster, a green wall, or a green wall plus interior plants than to the standard designs and the designs with the colorful posters. Students also rated preference and perceived restoration likelihood of the outdoor spaces that included greenery higher than those without. Preference and perceived restoration likelihood were not modified by demographic characteristics, but students with strong

  20. Greenery in the university environment: Students' preferences and perceived restoration likelihood.

    Science.gov (United States)

    van den Bogerd, Nicole; Dijkstra, S Coosje; Seidell, Jacob C; Maas, Jolanda

    2018-01-01

    A large body of evidence shows that interaction with greenery can be beneficial for human stress reduction, emotional states, and improved cognitive function. It can, therefore, be expected that university students might benefit from greenery in the university environment. Before investing in real-life interventions in a university environment, it is necessary to first explore students' perceptions of greenery in the university environment. This study examined (1) preference for university indoor and outdoor spaces with and without greenery (2) perceived restoration likelihood of university outdoor spaces with and without greenery and (3) if preference and perceived restoration likelihood ratings were modified by demographic characteristics or connectedness to nature in Dutch university students (N = 722). Digital photographic stimuli represented four university spaces (lecture hall, classroom, study area, university outdoor space). For each of the three indoor spaces there were four or five stimuli conditions: (1) the standard design (2) the standard design with a colorful poster (3) the standard design with a nature poster (4) the standard design with a green wall (5) the standard design with a green wall plus interior plants. The university outdoor space included: (1) the standard design (2) the standard design with seating (3) the standard design with colorful artifacts (4) the standard design with green elements (5) the standard design with extensive greenery. Multi-level analyses showed that students gave higher preference ratings to the indoor spaces with a nature poster, a green wall, or a green wall plus interior plants than to the standard designs and the designs with the colorful posters. Students also rated preference and perceived restoration likelihood of the outdoor spaces that included greenery higher than those without. Preference and perceived restoration likelihood were not modified by demographic characteristics, but students with strong

  1. Investigation of the Relationship between Learning Process and Learning Outcomes in E-Learning Environments

    Science.gov (United States)

    Yurdugül, Halil; Menzi Çetin, Nihal

    2015-01-01

    Problem Statement: Learners can access and participate in online learning environments regardless of time and geographical barriers. This brings up the umbrella concept of learner autonomy that contains self-directed learning, self-regulated learning and the studying process. Motivation and learning strategies are also part of this umbrella…

  2. 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...

  3. Sociocultural Perspective of Science in Online Learning Environments. Communities of Practice in Online Learning Environments

    Science.gov (United States)

    Erdogan, Niyazi

    2016-01-01

    Present study reviews empirical research studies related to learning science in online learning environments as a community. Studies published between 1995 and 2015 were searched by using ERIC and EBSCOhost databases. As a result, fifteen studies were selected for review. Identified studies were analyzed with a qualitative content analysis method…

  4. 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.

  5. Relationship between Student Pharmacist Decision Making Preferences and Experiential Learning.

    Science.gov (United States)

    Williams, Charlene R; McLaughlin, Jacqueline E; Cox, Wendy C; Shepherd, Greene

    2016-09-25

    Objective. To determine if student pharmacists' preferences towards experiential and rational thinking are associated with performance on advanced pharmacy practice experiences (APPEs) and whether thinking style preference changes following APPEs. Methods. The Rational Experiential Inventory (REI), a validated survey of thinking style, was administered to student pharmacists before starting APPEs and re-administered after completing APPEs. APPE grades were compared to initial REI scores. Results. Rational Experiential Inventory scores remained consistent before and after APPEs. Overall, APPE grades were independent of REI scores. In a regression model, the REI experiential score was a significant negative predictor of hospital APPE grades. Conclusion. These findings suggest that overall APPE performance is independent of decision-making preference, and decision-making style does not change following immersion into APPEs. Instead of targeting teaching strategies towards a specific decision-making style, preceptors may use pedagogical approaches that promote sound clinical decision-making skills through critical thinking and reflection.

  6. Relationship between Student Pharmacist Decision Making Preferences and Experiential Learning

    Science.gov (United States)

    McLaughlin, Jacqueline E.; Cox, Wendy C.; Shepherd, Greene

    2016-01-01

    Objective. To determine if student pharmacists’ preferences towards experiential and rational thinking are associated with performance on advanced pharmacy practice experiences (APPEs) and whether thinking style preference changes following APPEs. Methods. The Rational Experiential Inventory (REI), a validated survey of thinking style, was administered to student pharmacists before starting APPEs and re-administered after completing APPEs. APPE grades were compared to initial REI scores. Results. Rational Experiential Inventory scores remained consistent before and after APPEs. Overall, APPE grades were independent of REI scores. In a regression model, the REI experiential score was a significant negative predictor of hospital APPE grades. Conclusion. These findings suggest that overall APPE performance is independent of decision-making preference, and decision-making style does not change following immersion into APPEs. Instead of targeting teaching strategies towards a specific decision-making style, preceptors may use pedagogical approaches that promote sound clinical decision-making skills through critical thinking and reflection. PMID:27756927

  7. Willingness and preferences of nurses related to learning with technology.

    Science.gov (United States)

    Pilcher, Jobeth W; Bedford, Laurie

    2011-01-01

    To what extent are nurses willing to learn with technology-enhanced tools, such as online education, podcasts, webcasts, mobile learning, and realistic simulations? What factors influence their willingness? This article includes a description of a mixed methodology study that addressed these questions. Nurses of all ages indicated a willingness to learn with a variety of technological tools. Primary determinants of willingness were associated with ease of use, familiarity, convenience, and perceived benefit.

  8. Study preferences for exemplar variability in self-regulated category learning.

    Science.gov (United States)

    Wahlheim, Christopher N; DeSoto, K Andrew

    2017-02-01

    Increasing exemplar variability during category learning can enhance classification of novel exemplars from studied categories. Four experiments examined whether participants preferred variability when making study choices with the goal of later classifying novel exemplars. In Experiments 1-3, participants were familiarised with exemplars of birds from multiple categories prior to making category-level assessments of learning and subsequent choices about whether to receive more variability or repetitions of exemplars during study. After study, participants classified novel exemplars from studied categories. The majority of participants showed a consistent preference for variability in their study, but choices were not related to category-level assessments of learning. Experiment 4 provided evidence that study preferences were based primarily on theoretical beliefs in that most participants indicated a preference for variability on questionnaires that did not include prior experience with exemplars. Potential directions for theoretical development and applications to education are discussed.

  9. Foreign language learning in immersive virtual environments

    Science.gov (United States)

    Chang, Benjamin; Sheldon, Lee; Si, Mei; Hand, Anton

    2012-03-01

    Virtual reality has long been used for training simulations in fields from medicine to welding to vehicular operation, but simulations involving more complex cognitive skills present new design challenges. Foreign language learning, for example, is increasingly vital in the global economy, but computer-assisted education is still in its early stages. Immersive virtual reality is a promising avenue for language learning as a way of dynamically creating believable scenes for conversational training and role-play simulation. Visual immersion alone, however, only provides a starting point. We suggest that the addition of social interactions and motivated engagement through narrative gameplay can lead to truly effective language learning in virtual environments. In this paper, we describe the development of a novel application for teaching Mandarin using CAVE-like VR, physical props, human actors and intelligent virtual agents, all within a semester-long multiplayer mystery game. Students travel (virtually) to China on a class field trip, which soon becomes complicated with intrigue and mystery surrounding the lost manuscript of an early Chinese literary classic. Virtual reality environments such as the Forbidden City and a Beijing teahouse provide the setting for learning language, cultural traditions, and social customs, as well as the discovery of clues through conversation in Mandarin with characters in the game.

  10. 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

  11. The Preference of Visualization in Teaching and Learning Absolute Value

    Science.gov (United States)

    Konyalioglu, Alper Cihan; Aksu, Zeki; Senel, Esma Ozge

    2012-01-01

    Visualization is mostly despised although it complements and--sometimes--guides the analytical process. This study mainly investigates teachers' preferences concerning the use of the visualization method and determines the extent to which they encourage their students to make use of it within the problem-solving process. This study was conducted…

  12. The Relationship between Cultural Values and Learning Preference: The Impact of Acculturation Experiences upon East Asians

    Science.gov (United States)

    Chuang, Szu-Fang

    2012-01-01

    Globalization and technology advancement are creating more biculturalism at workplaces and learning settings. However, little is known about acculturation experience and its influence on a person's cultural values and learning preference. The research reported in this study investigates the impact of acculturation experiences upon the relationship…

  13. Activity Based Learning in a Freshman Global Business Course: Analyses of Preferences and Demographic Differences

    Science.gov (United States)

    Levine, Mark F.; Guy, Paul W.

    2007-01-01

    The present study investigates pre-business students' reaction to Activity Based Learning in a lower division core required course entitled Introduction to Global Business in the business curriculum at California State University Chico. The study investigates students' preference for Activity Based Learning in comparison to a more traditional…

  14. What Do Students Want? Making Sense of Student Preferences in Technology-Enhanced Learning

    Science.gov (United States)

    Pechenkina, Ekaterina; Aeschliman, Carol

    2017-01-01

    This article, with its focus on university students as intended recipients and users of technological innovations in education, explores student preferences across three dimensions of technology-enhanced learning: mode of instruction; communication; and educational technology tools embedded in learning and teaching activities. The article draws on…

  15. Preferences for Deep-Surface Learning: A Vocational Education Case Study Using a Multimedia Assessment Activity

    Science.gov (United States)

    Hamm, Simon; Robertson, Ian

    2010-01-01

    This research tests the proposition that the integration of a multimedia assessment activity into a Diploma of Events Management program promotes a deep learning approach. Firstly, learners' preferences for deep or surface learning were evaluated using the revised two-factor Study Process Questionnaire. Secondly, after completion of an assessment…

  16. Student Preferences for Live versus Virtual Rats in a Learning Course

    Science.gov (United States)

    Elcoro, Mirari; Trundle, Melissa B.

    2013-01-01

    We examined the preference of undergraduate students for a live or a virtual rat when learning about concepts of operant conditioning. Students were provided with the opportunity to directly compare a virtual and a live rat in a supplemental exercise for Learning courses. We argue that the design of teaching exercises should involve a systematic…

  17. How Can Stores Sustain Their Businesses? From Shopping Behaviors and Motivations to Environment Preferences

    Directory of Open Access Journals (Sweden)

    Rachel J.C. Chen

    2013-02-01

    Full Text Available The purpose of this study was to (1 discover consumer purchasing behaviors while shopping as a tourist and shopping at home, and (2 investigate tourist shopping preferences for an ideal shopping environment. A sample of 1,235 respondents participated in this study. Survey participants were asked to evaluate what store attributes they desired and what sources of information they used while selecting a store to shop in during their trips. Results indicate that consumers utilized various shopping channels while shopping in various environments. Also, different types of consumers exhibited clear preferences toward their ideal shopping environment. The results of this study are helpful for future service providers, tourism businesses, and tourism retailers to plan product development, provide better services, and equip a wider range of service skills.

  18. Immersive Virtual Environment Technology to Supplement Environmental Perception, Preference and Behavior Research: A Review with Applications.

    Science.gov (United States)

    Smith, Jordan W

    2015-09-11

    Immersive virtual environment (IVE) technology offers a wide range of potential benefits to research focused on understanding how individuals perceive and respond to built and natural environments. In an effort to broaden awareness and use of IVE technology in perception, preference and behavior research, this review paper describes how IVE technology can be used to complement more traditional methods commonly applied in public health research. The paper also describes a relatively simple workflow for creating and displaying 360° virtual environments of built and natural settings and presents two freely-available and customizable applications that scientists from a variety of disciplines, including public health, can use to advance their research into human preferences, perceptions and behaviors related to built and natural settings.

  19. Indo-Pacific bottlenose dolphin (Tursiops aduncus) habitat preference in a heterogeneous, urban, coastal environment.

    Science.gov (United States)

    Cribb, Nardi; Miller, Cara; Seuront, Laurent

    2013-02-01

    Limited information is available regarding the habitat preference of the Indo-Pacific bottlenose dolphin (Tursiops aduncus) in South Australian estuarine environments. The need to overcome this paucity of information is crucial for management and conservation initiatives. This preliminary study investigates the space-time patterns of habitat preference by the Indo-Pacific bottlenose dolphin in the Port Adelaide River-Barker Inlet estuary, a South Australian, urbanised, coastal environment. More specifically, the study aim was to identify a potential preference between bare sand substrate and seagrass beds, the two habitat types present in this environment, through the resighting frequency of recognisable individual dolphins. Photo-identification surveys covering the 118 km2 sanctuary area were conducted over 2 survey periods May to August 2006 and from March 2009 to February 2010. Sighting frequency of recognisable individual Indo-Pacific bottlenose dolphins established a significant preference for the bare sand habitat. More specifically, 72 and 18% of the individuals sighted at least on two occasions were observed in the bare sand and seagrass habitats respectively. This trend was consistently observed at both seasonal and annual scales, suggesting a consistency in the distinct use of these two habitats. It is anticipated that these results will benefit the further development of management and conservation strategies.

  20. 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…

  1. Peer Learning in Social Media Enhanced Learning Environment

    Directory of Open Access Journals (Sweden)

    Anne-Maritta Tervakari

    2012-09-01

    Full Text Available TUT Circle, a dedicated social media service for students at Tampere University of Technology (TUT, was used as a learning environment for the purpose of enhancing students‘ collaboration, communication and networking skills required in business and working life and for promoting peer learning in small groups. Unfortunately, active conversation was limited. The students intensively read content created by other students, but they did not actively present their opinions, arguments or comments. Another reason for the lack of real conversation was procrastination. The students seemed to need more encouragement to comment on or question the ideas of others, more support to promote intergroup interaction and more assistance with time management.

  2. 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.

  3. The Influence of Learning on Host Plant Preference in a Significant Phytopathogen Vector, Diaphorina citri.

    Directory of Open Access Journals (Sweden)

    Dara G Stockton

    Full Text Available Although specialist herbivorous insects are guided by innate responses to host plant cues, host plant preference may be influenced by experience and is not dictated by instinct alone. The effect of learning on host plant preference was examined in the Asian citrus psyllid, Diaphorina citri; vector of the causal agent of citrus greening disease or huanglongbing. We investigated: a whether development on specific host plant species influenced host plant preference in mature D. citri; and b the extent of associative learning in D. citri in the form of simple and compound conditioning. Learning was measured by cue selection in a 2-choice behavioral assay and compared to naïve controls. Our results showed that learned responses in D. citri are complex and diverse. The developmental host plant species influenced adult host plant preference, with female psyllids preferring the species on which they were reared. However, such preferences were subject to change with the introduction of an alternative host plant within 24-48 hrs, indicating a large degree of experience-dependent response plasticity. Additionally, learning occurred for multiple sensory modalities where novel olfactory and visual environmental cues were associated with the host plant. However, males and females displayed differing discriminatory abilities. In compound conditioning tasks, males exhibited recognition of a compound stimulus alone while females were capable of learning the individual components. These findings suggest D. citri are dynamic animals that demonstrate host plant preference based on developmental and adult experience and can learn to recognize olfactory and visual host plant stimuli in ways that may be sex specific. These experience-based associations are likely used by adults to locate and select suitable host plants for feeding and reproduction and may suggest the need for more tailored lures and traps, which reflect region-specific cultivars or predominate

  4. The Influence of Learning on Host Plant Preference in a Significant Phytopathogen Vector, Diaphorina citri.

    Science.gov (United States)

    Stockton, Dara G; Martini, Xavier; Patt, Joseph M; Stelinski, Lukasz L

    2016-01-01

    Although specialist herbivorous insects are guided by innate responses to host plant cues, host plant preference may be influenced by experience and is not dictated by instinct alone. The effect of learning on host plant preference was examined in the Asian citrus psyllid, Diaphorina citri; vector of the causal agent of citrus greening disease or huanglongbing. We investigated: a) whether development on specific host plant species influenced host plant preference in mature D. citri; and b) the extent of associative learning in D. citri in the form of simple and compound conditioning. Learning was measured by cue selection in a 2-choice behavioral assay and compared to naïve controls. Our results showed that learned responses in D. citri are complex and diverse. The developmental host plant species influenced adult host plant preference, with female psyllids preferring the species on which they were reared. However, such preferences were subject to change with the introduction of an alternative host plant within 24-48 hrs, indicating a large degree of experience-dependent response plasticity. Additionally, learning occurred for multiple sensory modalities where novel olfactory and visual environmental cues were associated with the host plant. However, males and females displayed differing discriminatory abilities. In compound conditioning tasks, males exhibited recognition of a compound stimulus alone while females were capable of learning the individual components. These findings suggest D. citri are dynamic animals that demonstrate host plant preference based on developmental and adult experience and can learn to recognize olfactory and visual host plant stimuli in ways that may be sex specific. These experience-based associations are likely used by adults to locate and select suitable host plants for feeding and reproduction and may suggest the need for more tailored lures and traps, which reflect region-specific cultivars or predominate Rutaceae in the area

  5. 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,…

  6. Context-aware Cloud Computing for Personal Learning Environment

    OpenAIRE

    Chen, Feng; Al-Bayatti, Ali Hilal; Siewe, Francois

    2016-01-01

    Virtual learning means to learn from social interactions in a virtual platform that enables people to study anywhere and at any time. Current Virtual Learning Environments (VLEs) are a range of integrated web based applications to support and enhance the education. Normally, VLEs are institution centric; are owned by the institutions and are designed to support formal learning, which do not support lifelong learning. These limitations led to the research of Personal Learning Environments (PLE...

  7. Virtual Learning Environment for Interactive Engagement with Advanced Quantum Mechanics

    Science.gov (United States)

    Pedersen, Mads Kock; Skyum, Birk; Heck, Robert; Müller, Romain; Bason, Mark; Lieberoth, Andreas; Sherson, Jacob F.

    2016-01-01

    A virtual learning environment can engage university students in the learning process in ways that the traditional lectures and lab formats cannot. We present our virtual learning environment "StudentResearcher," which incorporates simulations, multiple-choice quizzes, video lectures, and gamification into a learning path for quantum…

  8. Practical Applications and Experiences in K-20 Blended Learning Environments

    Science.gov (United States)

    Kyei-Blankson, Lydia, Ed.; Ntuli, Esther, Ed.

    2014-01-01

    Learning environments continue to change considerably and is no longer confined to the face-to-face classroom setting. As learning options have evolved, educators must adopt a variety of pedagogical strategies and innovative technologies to enable learning. "Practical Applications and Experiences in K-20 Blended Learning Environments"…

  9. Active Learning Environment with Lenses in Geometric Optics

    Science.gov (United States)

    Tural, Güner

    2015-01-01

    Geometric optics is one of the difficult topics for students within physics discipline. Students learn better via student-centered active learning environments than the teacher-centered learning environments. So this study aimed to present a guide for middle school teachers to teach lenses in geometric optics via active learning environment…

  10. 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

  11. 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.

  12. 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 ...

  13. Learning Explainable User Sentiment and Preferences for Information Filtering

    OpenAIRE

    Pappas, Nikolaos

    2016-01-01

    In the last decade, online social networks have enabled people to interact in many ways with each other and with content. The digital traces of such actions reveal people's preferences towards online content such as news or products. These traces often result from interactions such as sharing or liking, but also from interactions in natural language. The continuous growth of the amount of content and of digital traces has led to information overload: surrounded by large volumes of informatio...

  14. CLEW: A Cooperative Learning Environment for the Web.

    Science.gov (United States)

    Ribeiro, Marcelo Blois; Noya, Ricardo Choren; Fuks, Hugo

    This paper outlines CLEW (collaborative learning environment for the Web). The project combines MUD (Multi-User Dimension), workflow, VRML (Virtual Reality Modeling Language) and educational concepts like constructivism in a learning environment where students actively participate in the learning process. The MUD shapes the environment structure.…

  15. Using Facebook as an informal learning environment.

    Science.gov (United States)

    Cain, Jeff; Policastri, Anne

    2011-12-15

    To create, implement, and assess the effectiveness of an optional Facebook activity intended to expose students to contemporary business issues not covered in the core content of a pharmacy management and leadership course and to perspectives of experts and thought leaders external to their university. An informal learning strategy was used to create a Facebook group page and guest experts were identified and invited to submit posts pertaining to business-related topics. Students were given instructions for joining the Facebook group but informed that participation was optional. A mixed-methods approach using a student questionnaire, results on examination questions, and a student focus group was used to assess this activity. The informal design with no posting guidelines and no participation requirement was well received by students, who appreciated the unique learning environment and exposure to external experts. Facebook provides an informal learning environment for presenting contemporary topics and the thoughts of guest experts not affiliated with a college or school, thereby exposing students to relevant "real world" issues.

  16. Toward Project-based Learning and Team Formation in Open Learning Environments

    NARCIS (Netherlands)

    Spoelstra, Howard; Van Rosmalen, Peter; Sloep, Peter

    2014-01-01

    Open Learning Environments, MOOCs, as well as Social Learning Networks, embody a new approach to learning. Although both emphasise interactive participation, somewhat surprisingly, they do not readily support bond creating and motivating collaborative learning opportunities. Providing project-based

  17. 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.

  18. Blended synchronous learning environment: Student perspectives

    Directory of Open Access Journals (Sweden)

    Conklina Sheri

    2017-06-01

    Full Text Available Distance education environments can take many forms, from asynchronous to blended synchronous environments. Blended synchronous learning environment (BSLE can be defined as an innovative setting in which students can decide to attend classes either face-to-face or via a synchronous virtual connection. Many educators are unfamiliar teaching in BSLE because of lack of experience or exposure to this delivery method. Thus, it is important to understand the optimal organisational structures and the effective management of BSLE courses to facilitate student learning and interaction. Seeking to understand this teaching method, an exploratory mixed-method study was conducted to examine graduate students’ perceptions of the BSLE. Quantitative and qualitative data was collected from a questionnaire and analysed. The findings revealed that students were satisfied with the BSLE, interactions, and the instructor. However, findings showed that the instructor divided attention between face-to-face and online synchronous students, which can cause cognitive overload and compromise the quality of instruction. Additionally, this study suggests that technical difficulties can affect students’ satisfaction with BSLE courses. Implications for further research and limitations are discussed.

  19. The importance of cultivating a preference for complexity in veterinarians for effective lifelong learning.

    Science.gov (United States)

    Dale, Vicki H M; Pierce, Stephanie E; May, Stephen A

    2010-01-01

    Much attention has been paid to the link between students' approaches to study and the quality of their learning. Less attention has been paid to the lifelong learner. We conceptualized a tripartite relationship between three measures of learning preference: conceptions of knowledge (construction and use vs. intake), need for cognition (high vs. low), and approach to study (deep vs. surface) and hypothesized that an individual's profile on these three measures-reconceptualized as a preference for complexity versus simplicity-would affect their attitude toward continuing professional development (CPD). A questionnaire was mailed to 2,000 randomly selected, home-practicing UK veterinarians to quantify their learning preferences, motivation to engage in CPD, and perception of barriers to participation and to assess the relationships between these constructs. Analysis of 775 responses (a 38.8% response rate) confirmed our tripartite model of learning and showed that a preference for complexity was negatively correlated with barriers and positively correlated with intrinsic, social, and extrinsic motivating factors, suggesting that all play a role in the continuing education of this group of professionals. A preference for simplicity was negatively correlated with social motivation and positively correlated with barriers. This study demonstrates that approach not only affects the quality of learning but crucially affects motivation to engage in CPD and perception of barriers to lifelong learning. This should emphasize to veterinary educators the importance of fostering a preference for complexity from an early age, both in terms of its immediate benefits (better understanding) and longer-term benefits (continued engagement with learning).

  20. 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…

  1. Transactional distance in a blended learning environment

    Directory of Open Access Journals (Sweden)

    Jon Dron

    2004-12-01

    Full Text Available This paper presents a case study that describes and discusses the problems encountered during the design and implementation of a blended learning course, largely taught online through a web-based learning environment. Based on Moore's theory of transactional distance, the course was explicitly designed to have dialogue at its heart. However, the reality of systemic behaviours caused by delivering such a course within a group of conventional further and higher educational institutions has led to an entirely unanticipated reversion to structure, with unpleasant consequences for both quality and quantity of dialogue. The paper looks at some of the reasons for this drift, and suggests that some of the disappointing results (in particular in terms of the quality of the students' experience and associated poor retention can be attributed to the lack of dialogue, and consequent increase in transactional distance. It concludes with a description and evaluation of steps currently being taken to correct this behaviour.

  2. Learning preferences and attitudes by multi-criteria overlap dominance and relevance functions

    DEFF Research Database (Denmark)

    Franco de los Ríos, Camilo; Hougaard, Jens Leth; Nielsen, Kurt

    2018-01-01

    This paper proposes an interval-valued multi-criteria method for learning preferences and attitudes, identifying priorities with maximal robustness for decision support. The method is based on the notion of weighted overlap dominance, formalized by means of aggregation operators and interval......-valued fuzzy sets. The procedure handles uncertainty by estimating the likelihood of dominance among pairs of alternatives, inducing an attitude-based system of dominance and indifference relations. This system allows conflicting situations of indifference/dependency to arise, which need to be resolved...... for properly identifying preferences under any attitude. In order to do so, relevance functions are examined over the whole system of relations, obtaining a weak preference order together with its associated attitude and robustness index. As a result, the proposed method allows learning preferences...

  3. Millennial Students' Preferred Methods for Learning Concepts in Psychiatric Nursing.

    Science.gov (United States)

    Garwood, Janet K

    2015-09-01

    The current longitudinal, descriptive, and correlational study explored which traditional teaching strategies can engage Millennial students and adequately prepare them for the ultimate test of nursing competence: the National Council Licensure Examination. The study comprised a convenience sample of 40 baccalaureate nursing students enrolled in a psychiatric nursing course. The students were exposed to a variety of traditional (e.g., PowerPoint(®)-guided lectures) and nontraditional (e.g., concept maps, group activities) teaching and learning strategies, and rated their effectiveness. The students' scores on the final examination demonstrated that student learning outcomes met or exceeded national benchmarks. Copyright 2015, SLACK Incorporated.

  4. On Sparse Multi-Task Gaussian Process Priors for Music Preference Learning

    DEFF Research Database (Denmark)

    Nielsen, Jens Brehm; Jensen, Bjørn Sand; Larsen, Jan

    In this paper we study pairwise preference learning in a music setting with multitask Gaussian processes and examine the effect of sparsity in the input space as well as in the actual judgments. To introduce sparsity in the inputs, we extend a classic pairwise likelihood model to support sparse...... simulation shows the performance on a real-world music preference dataset which motivates and demonstrates the potential of the sparse Gaussian process formulation for pairwise likelihoods....

  5. Preferred Methods of Learning for Nursing Students in an On-Line Degree Program.

    Science.gov (United States)

    Hampton, Debra; Pearce, Patricia F; Moser, Debra K

    Investigators have demonstrated that on-line courses result in effective learning outcomes, but limited information has been published related to preferred teaching strategies. Delivery of on-line courses requires various teaching methods to facilitate interaction between students, content, and technology. The purposes of this study were to understand student teaching/learning preferences in on-line courses to include (a) differences in preferred teaching/learning methods for on-line nursing students across generations and (b) which teaching strategies students found to be most engaging and effective. Participants were recruited from 2 accredited, private school nursing programs (N=944) that admit students from across the United States and deliver courses on-line. Participants provided implied consent, and 217 (23%) students completed the on-line survey. Thirty-two percent of the students were from the Baby Boomer generation (1946-1964), 48% from Generation X (1965-1980), and 20% from the Millennial Generation (born after 1980). The preferred teaching/learning methods for students were videos or narrated PowerPoint presentations, followed by synchronous Adobe Connect educations sessions, assigned journal article reading, and e-mail dialog with the instructor. The top 2 methods identified by participants as the most energizing/engaging and most effective for learning were videos or narrated PowerPoint presentations and case studies. The teaching/learning method least preferred by participants and that was the least energizing/engaging was group collaborative projects with other students; the method that was the least effective for learning was wikis. Baby Boomers and Generation X participants had a significantly greater preference for discussion board (PBaby Boomer and Generation X students and rated on-line games as significantly more energizing/engaging and more effective for learning (PBaby Boomer and Generation X students. In conclusion, the results of this

  6. 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...

  7. 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…

  8. 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

  9. Learning styles: individualizing computer-based learning environments

    Directory of Open Access Journals (Sweden)

    Tim Musson

    1995-12-01

    Full Text Available While the need to adapt teaching to the needs of a student is generally acknowledged (see Corno and Snow, 1986, for a wide review of the literature, little is known about the impact of individual learner-differences on the quality of learning attained within computer-based learning environments (CBLEs. What evidence there is appears to support the notion that individual differences have implications for the degree of success or failure experienced by students (Ford and Ford, 1992 and by trainee end-users of software packages (Bostrom et al, 1990. The problem is to identify the way in which specific individual characteristics of a student interact with particular features of a CBLE, and how the interaction affects the quality of the resultant learning. Teaching in a CBLE is likely to require a subset of teaching strategies different from that subset appropriate to more traditional environments, and the use of a machine may elicit different behaviours from those normally arising in a classroom context.

  10. Clinical learning environment and supervision: experiences of Norwegian nursing students - a questionnaire survey.

    Science.gov (United States)

    Skaalvik, Mari Wolff; Normann, Hans Ketil; Henriksen, Nils

    2011-08-01

    To measure nursing students' experiences and satisfaction with their clinical learning environments. The primary interest was to compare the results between students with respect to clinical practice in nursing homes and hospital wards. Clinical learning environments are important for the learning processes of nursing students and for preferences for future workplaces. Working with older people is the least preferred area of practice among nursing students in Norway. A cross-sectional design. A validated questionnaire was distributed to all nursing students from five non-randomly selected university colleges in Norway. A total of 511 nursing students completed a Norwegian version of the questionnaire, Clinical Learning Environment, Supervision and Nurse Teacher (CLES+T) evaluation scale in 2009. Data including descriptive statistics were analysed using the Statistical Program for the Social Sciences. Factor structure was analysed by principal component analysis. Differences across sub-groups were tested with chi-square tests and Mann-Whitney U test for categorical variables and t-tests for continuous variables. Ordinal logistic regression analysis of perceptions of the ward as a good learning environment was performed with supervisory relationships and institutional contexts as independent variables, controlling for age, sex and study year. The participating nursing students with clinical placements in nursing homes assessed their clinical learning environment significantly more negatively than those with hospital placements on nearby all sub-dimensions. The evidence found in this study indicates that measures should be taken to strengthen nursing homes as learning environments for nursing students. To recruit more graduated nurses to work in nursing homes, actions to improve the learning environment are needed. © 2011 Blackwell Publishing Ltd.

  11. Mobile Learning Usage and Preferences of Vocational Secondary School Students: The cases of Austria, the Czech Republic, and Germany

    Directory of Open Access Journals (Sweden)

    Biloš Antun

    2017-03-01

    Full Text Available The purpose of this paper is to determine the current status of mobile device usage and mobile learning adoption in vocational education and training (VET secondary schools in three European Union countries (Austria, the Czech Republic, and Germany. The research focused on exploring students’ mobile device usage habits, their attitudes toward education in the context of mobile application support, and preferences regarding mobile learning features. The research confirmed a high level of mobile device usage among secondary school students on a daily basis; smartphones and laptops were the most commonly used devices. The vast majority of participants perceived themselves to be advanced mobile device users, but reported a deficit of ICT-assisted mobile learning experience. However, the majority of respondents with prior ICT-assisted education experience described it as a positive or very positive experience. In addition, study participants tended to agree that mobile learning will play a significant role in education in the future. The paper also explored the reported differences among the students in the three countries and suggested several implications for understanding students’ views of mobile learning. The findings provide insights into possibilities of m-learning implementation while creating a framework for m-learning application development in the VET secondary school environment.

  12. Learning behaviour and preferences of family medicine residents under a flexible academic curriculum.

    Science.gov (United States)

    Sy, Alice; Wong, Eric; Boisvert, Leslie

    2014-11-01

    To determine family medicine residents' learning behaviour and preferences outside of clinical settings in order to help guide the development of an effective academic program that can maximize their learning. Retrospective descriptive analysis of academic learning logs submitted by residents as part of their academic training requirements between 2008 and 2011. London, Ont. All family medicine residents at Western University who had completed their academic program requirements (N = 72) by submitting 300 or more credits (1 credit = 1 hour). Amount of time spent on various learning modalities, location where the learning took place, resources used for self-study, and the objective of the learning activity. A total of 72 residents completed their academic requirements during the study period and logged a total of 25 068 hours of academic learning. Residents chose to spend most of their academic time engaging in self-study (44%), attending staff physicians' teaching sessions (20%),and participating in conferences, courses, or workshops (12%) and in postgraduate medical education sessions (12%). Textbooks (26%), medical journals (20%), and point-of-care resources (12%) were the 3 most common resources used for self-study. The hospital (32%), residents' homes (32%),and family medicine clinics (14%) were the most frequently cited locations where academic learning occurred. While all physicians used a variety of educational activities, most residents (67%) chose self-study as their primary method of learning. The topic for academic learning appeared to have some influence on the learning modalities used by residents. Residents used a variety of learning modalities and chose self-study over other more traditional modalities (eg, lectures) for most of their academic learning. A successful academic program must take into account residents' various learning preferences and habits while providing guidance and training in the use of more effective learning methods and

  13. EDUCATION REFORMS TOWARDS 21ST CENTURY SKILLS: TRANSFORMING STUDENTS' LEARNING EXPERIENCES THROUGH EFFECTIVE LEARNING ENVIRONMENTS

    OpenAIRE

    Harriet Wambui Njui

    2018-01-01

    This paper reviews literature on learning environments with a view to making recommendations on how teachers could create effective and high-quality learning environments that provide learners with transformative learning experiences as they go through the process of education. An effective learning environment is critical because quality education, which is essential to real learning and human development, is influenced by factors both inside and outside the classroom. Learning institutions ...

  14. 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

  15. Nursing students' perceptions of hospital learning environments--an Australian perspective.

    Science.gov (United States)

    Chan, Dominic S

    2004-01-01

    Clinical education is a vital component in the curricula of pre-registration nursing courses and provides student nurses with the opportunity to combine cognitive, psychomotor, and affective skills. Various studies have suggested that not all practice settings are able to provide nursing students with a positive learning environment. In order to maximize nursing students' clinical learning outcomes, there is a need to examine the clinical learning environment. The purpose of this study was to assess pre-registration nursing students' perceptions of hospital learning environments during clinical field placement. Quantitative and qualitative methodology was used. One hundred and eight students provided quantitative data through completion of the survey instrument, the Clinical Learning Environment Inventory (Actual and Preferred forms). Each form is a 5-point Likert-type questionnaire, made up of 35 items consisted of 5 scales with 7 items per scale. Qualitative data, obtained through semi-structured interview of 21 students from the same cohort, were used to explain and support the quantitative findings. There were significant differences between students' actual and preferred perceptions of the clinical learning environments. Generally students preferred a more positive and favourable clinical environment than they perceived as being actually present. Since participants consisted of nursing students from just one university nursing school in South Australia, the findings may not be representative of all nursing students in general with respect to their clinical placement. However, the value of this study lies in the resulting implication for nursing education and future research. A better understanding of what constitutes quality clinical education from the students' perspective would be valuable in providing better educational experiences.

  16. Innate Host Habitat Preference in the Parasitoid Diachasmimorpha longicaudata: Functional Significance and Modifications through Learning.

    Directory of Open Access Journals (Sweden)

    Diego F Segura

    Full Text Available Parasitoids searching for polyphagous herbivores can find their hosts in a variety of habitats. Under this scenario, chemical cues from the host habitat (not related to the host represent poor indicators of host location. Hence, it is unlikely that naïve females show a strong response to host habitat cues, which would become important only if the parasitoids learn to associate such cues to the host presence. This concept does not consider that habitats can vary in profitability or host nutritional quality, which according to the optimal foraging theory and the preference-performance hypothesis (respectively could shape the way in which parasitoids make use of chemical cues from the host habitat. We assessed innate preference in the fruit fly parasitoid Diachasmimorpha longicaudata among chemical cues from four host habitats (apple, fig, orange and peach using a Y-tube olfactometer. Contrary to what was predicted, we found a hierarchic pattern of preference. The parasitism rate realized on these fruit species and the weight of the host correlates positively, to some extent, with the preference pattern, whereas preference did not correlate with survival and fecundity of the progeny. As expected for a parasitoid foraging for generalist hosts, habitat preference changed markedly depending on their previous experience and the abundance of hosts. These findings suggest that the pattern of preference for host habitats is attributable to differences in encounter rate and host quality. Host habitat preference seems to be, however, quite plastic and easily modified according to the information obtained during foraging.

  17. VARK learning preferences and mobile anatomy software application use in pre-clinical chiropractic students.

    Science.gov (United States)

    Meyer, Amanda J; Stomski, Norman J; Innes, Stanley I; Armson, Anthony J

    2016-05-06

    Ubiquitous smartphone ownership and reduced face-to-face teaching time may lead to students making greater use of mobile technologies in their learning. This is the first study to report on the prevalence of mobile gross anatomy software applications (apps) usage in pre-clinical chiropractic students and to ascertain if a relationship exists between preferred learning styles as determined by the validated VARK(©) questionnaire and use of mobile anatomy apps. The majority of the students who completed the VARK questionnaire were multimodal learners with kinesthetic and visual preferences. Sixty-seven percent (73/109) of students owned one or more mobile anatomy apps which were used by 57 students. Most of these students owned one to five apps and spent less than 30 minutes per week using them. Six of the top eight mobile anatomy apps owned and recommended by the students were developed by 3D4Medical. Visual learning preferences were not associated with time spent using mobile anatomy apps (OR = 0.40, 95% CI 0.12-1.40). Similarly, kinesthetic learning preferences (OR = 1.88, 95% CI 0.18-20.2), quadmodal preferences (OR = 0.71, 95% CI 0.06-9.25), or gender (OR = 1.51, 95% CI 0.48-4.81) did not affect the time students' spent using mobile anatomy apps. Learning preferences do not appear to influence students' time spent using mobile anatomy apps. Anat Sci Educ 9: 247-254. © 2015 American Association of Anatomists. © 2015 American Association of Anatomists.

  18. U-CrAc Flexible Interior Doctrine, Agile Learning Environments

    DEFF Research Database (Denmark)

    Poulsen, Søren Bolvig; Rosenstand, Claus Andreas Foss

    2012-01-01

    The research domain of this article is flexible learning environment for immediate use. The research question is: How can the learning environment support an agile learning process? The research contribution of this article is a flexible interior doctrine. The research method is action research...

  19. The Impact of Multitasking Learning Environments in the Middle Grades

    Science.gov (United States)

    Drinkwine, Timothy

    2013-01-01

    This research study considers the status of middle school students in the 21st century in terms of their tendency to multitask in their daily lives and the overall influence this multitasking has on teaching and learning environments. Student engagement in the learning environment and students' various learning styles are discussed as primary…

  20. Student-Teacher Interaction in Online Learning Environments

    Science.gov (United States)

    Wright, Robert D., Ed.

    2015-01-01

    As face-to-face interaction between student and instructor is not present in online learning environments, it is increasingly important to understand how to establish and maintain social presence in online learning. "Student-Teacher Interaction in Online Learning Environments" provides successful strategies and procedures for developing…

  1. Mapping Students Use of Technologies in Problem Based Learning Environments

    DEFF Research Database (Denmark)

    Rongbutsri, Nikorn; Khalid, Md. Saifuddin; Ryberg, Thomas

    2011-01-01

    This paper aims to understand how students use technology to enhance their learning in problem-based learning environments. The research methodology is based on both qualitative and quantitative studies. The results are based on students’ interviews, a survey and students’ reflections in course......-related blog posts; they show that students have positive perceptions toward using technologies in problem-based learning environments....

  2. An Enhanced Personal Learning Environment Using Social Semantic Web Technologies

    Science.gov (United States)

    Halimi, Khaled; Seridi-Bouchelaghem, Hassina; Faron-Zucker, Catherine

    2014-01-01

    Compared with learning in classrooms, classical e-learning systems are less adaptive and once a system that supports a particular strategy has been designed and implemented, it is less likely to change according to student's interactions and preferences. Remote educational systems should be developed to ensure as much as necessary the…

  3. Learning Faults Detection by AIS Techniques in CSCL Environments

    Science.gov (United States)

    Zedadra, Amina; Lafifi, Yacine

    2015-01-01

    By the increase of e-learning platforms, huge data sets are made from different kinds of the collected traces. These traces differ from one learner to another according to their characteristics (learning styles, preferences, performed actions, etc.). Learners' traces are very heterogeneous and voluminous, so their treatments and exploitations are…

  4. Vocational students' learning preferences: the interpretability of ipsative data.

    Science.gov (United States)

    Smith, P J

    2000-02-01

    A number of researchers have argued that ipsative data are not suitable for statistical procedures designed for normative data. Others have argued that the interpretability of such analyses of ipsative data are little affected where the number of variables and the sample size are sufficiently large. The research reported here represents a factor analysis of the scores on the Canfield Learning Styles Inventory for 1,252 students in vocational education. The results of the factor analysis of these ipsative data were examined in a context of existing theory and research on vocational students and lend support to the argument that the factor analysis of ipsative data can provide sensibly interpretable results.

  5. Interactive Preference Learning of Utility Functions for Multi-Objective Optimization

    OpenAIRE

    Dewancker, Ian; McCourt, Michael; Ainsworth, Samuel

    2016-01-01

    Real-world engineering systems are typically compared and contrasted using multiple metrics. For practical machine learning systems, performance tuning is often more nuanced than minimizing a single expected loss objective, and it may be more realistically discussed as a multi-objective optimization problem. We propose a novel generative model for scalar-valued utility functions to capture human preferences in a multi-objective optimization setting. We also outline an interactive active learn...

  6. Family environment, not heredity, accounts for family resemblances in food preferences and attitudes: a twin study.

    Science.gov (United States)

    Rozin, P; Millman, L

    1987-04-01

    Monozygotic and same-sex dizygotic twin pairs reported on their food preferences, the variety of foods of the same general category (e.g. types of soup) in their diet, and their concern about contact of their food with disgusting or other unacceptable substances (contamination sensitivity). Although there was substantial resemblance between siblings for many of these items, there was no clear evidence for a heritable component on any item. The only case for which there was an interpretable and significantly greater resemblance among monozygotic than among dizygotic twins (out of 23 questions) was preferred degree of hotness resulting from chili pepper in foods. These results confirm the prediction that in omnivorous animals, such as humans, genetic predispositions will be minimal with respect to food. The modest sibling resemblances on a number of measures are primarily attributable to a shared environment.

  7. Learning Touch Preferences with a Tactile Robot Using Dopamine Modulated STDP in a Model of Insular Cortex

    Directory of Open Access Journals (Sweden)

    Ting-Shuo eChou

    2015-07-01

    Full Text Available Neurorobots enable researchers to study how behaviors are produced by neural mechanisms in an uncertain, noisy, real-world environment. To investigate how the somatosensory system processes noisy, real-world touch inputs, we introduce a neurorobot called CARL-SJR, which has a full-body tactile sensory area. The design of CARL-SJR is such that it encourages people to communicate with it through gentle touch. CARL-SJR provides feedback to users by displaying bright colors on its surface. In the present study, we show that CARL-SJR is capable of learning associations between conditioned stimuli (CS; a color pattern on its surface and unconditioned stimuli (US; a preferred touch pattern by applying a spiking neural network (SNN with neurobiologically inspired plasticity. Specifically, we modeled the primary somatosensory cortex, prefrontal cortex, striatum, and the insular cortex, which is important for hedonic touch, to process noisy data generated directly from CARL-SJR’s tactile sensory area. To facilitate learning, we applied dopamine-modulated Spike Timing Dependent Plasticity (STDP to our simulated prefrontal cortex, striatum and insular cortex. To cope with noisy, varying inputs, the SNN was tuned to produce traveling waves of activity that carried spatiotemporal information. Despite the noisy tactile sensors, spike trains, and variations in subject hand swipes, the learning was quite robust. Further, the plasticity (i.e., STDP in primary somatosensory cortex and insular cortex in the incremental pathway of dopaminergic reward system allowed us to control CARL-SJR’s preference for touch direction without heavily pre-processed inputs. The emerged behaviors we found in this model match animal’s behaviors wherein they prefer touch in particular areas and directions. Thus, the results in this paper could serve as an explanation on the underlying neural mechanisms for developing tactile preferences and hedonic touch.

  8. 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…

  9. Just Google It: Young Children's Preferences for Touchscreens versus Books in Hypothetical Learning Tasks.

    Science.gov (United States)

    Eisen, Sierra; Lillard, Angeline S

    2016-01-01

    Children today regularly interact with touchscreen devices (Rideout, 2013) and thousands of "educational" mobile applications are marketed to them (Shuler, 2012). Understanding children's own ideas about optimal learning has important implications for education, which is being transformed by electronic mobile devices, yet we know little about how children think about such devices, including what children think touchscreens are useful for. Based on a prior result that children prefer a book over a touchscreen for learning about dogs, the present study explored how children view touchscreens versus books for learning an array of different types of information. Seventy children ages 3-6 were presented with six different topics (cooking, today's weather, trees, vacuums, Virginia, and yesterday's football game) and chose whether a book or a touchscreen device would be best to use to learn about each topic. Some of this information was time-sensitive, like the current weather; we predicted that children would prefer a touchscreen for time-sensitive information. In addition, each child's parent was surveyed about the child's use of books and touchscreens for educational purposes, both at home and in school. Results indicated that younger children had no preference between books and touchscreen devices across learning tasks. However, 6-year-olds were significantly more likely to choose the touchscreen for several topics. Surprisingly, 6-year-olds chose a touchscreen device to learn about time-sensitive weather conditions, but not yesterday's football. Children's choices were not associated with their use of books and touchscreens at home and school.

  10. General Education Oral Communication Assessment and Student Preferences for Learning: E-Textbook versus Paper Textbook

    Science.gov (United States)

    Dwyer, Karen Kangas; Davidson, Marlina M.

    2013-01-01

    As part of a yearly university mandated assessment of a large basic communication course that fulfills the oral communication general education requirement, this study examined student preferences for textbooks, reading, and learning. Specifically, basic course students ("N"=321) at a large state university in the Midwest were asked to…

  11. The Flexible Learning Needs and Preferences of Regional Occupational Therapy Students In Australia

    Science.gov (United States)

    Zeldenryk, Lynne; Bradey, Scott

    2013-01-01

    This study aimed to explore the flexible learning needs and preferences of occupational therapy students from a regional Australian university. Participants ("n"?=?170) were surveyed using a quantitative survey tool. Findings were analysed using SPSS to determine significant differences between variable attributes of the student cohort.…

  12. Incorporating Learning Style and Personality Preferences into an Oral Communication Course Syllabus

    Science.gov (United States)

    Hadas, Michael

    2011-01-01

    Individual difference factors of personality typology and learning style preference and their effect on second language acquisition have been the focus of several prominent SLA theorists over the past twenty-five years. However, few articles have demonstrated how individual learner difference research can be applied within a classroom by second…

  13. Generation Y Health Professional Students ’ Preferred Teaching and Learning Approaches: A Systematic Review

    Directory of Open Access Journals (Sweden)

    Caroline Mary Hills

    2017-01-01

    Full Text Available Generation Y or Millennials are descriptors for those born between 1982 and 2000. This cohort has grown up in the digital age and is purported to have different learning preferences from previous generations. Students are important stakeholders in identifying their preferred teaching and learning approaches in health professional programs. This study aimed to identify, appraise, and synthesize the best available evidence regarding the teaching and learning preferences of Generation Y health professional students. The review considered any objectively measured or self-reported outcomes of teaching and learning reported from Generation Y health professional student perspectives. In accordance with a previously published Joanna Briggs Institute Protocol, a three-step search strategy was completed. Two research articles (nursing and dental hygiene students and three dissertations (nursing were critically appraised. All studies were cross-sectional descriptive studies. A range of pedagogical approaches was reported, including lecture, group work, and teaching clinical skills. Based on the Joanna Briggs Institute levels of evidence, reviewers deemed the evidence as Level 3. Some generational differences were reported, but these were inconsistent across the studies reviewed. There is, therefore, insufficient evidence to provide specific recommendations for the preferred educational approaches of health professional students and further research is warranted.

  14. The Relationship between Perceptual Learning Style Preferences and Multiple Intelligences among Iranian EFL Learners

    Science.gov (United States)

    Baleghizadeh, Sasan; Shayeghi, Rose

    2014-01-01

    The purpose of the present study is to investigate the relationships between preferences of Multiple Intelligences and perceptual/social learning styles. Two self-report questionnaires were administered to a total of 207 male and female participants. Pearson correlation results revealed statistically significant positive relations between…

  15. A scalable method for online learning of non-linear preferences based on anonymous negotiation data

    NARCIS (Netherlands)

    Somefun, D.J.A.; Poutré, la J.A.

    2006-01-01

    We consider the problem of a shop agent negotiating bilaterally with many customers about a bundle of goods or services together with a price. To facilitate the shop agent's search for mutually beneficial alternative bundles, we develop a method for online learning customers' preferences, while

  16. Maximizing and Personalizing E-Learning Support for Students with Different Backgrounds and Preferences

    Science.gov (United States)

    Mironova, Olga; Amitan, Irina; Vendelin, Jelena; Vilipõld, Jüri; Saar, Merike

    2016-01-01

    Purpose: This paper aims to present a teaching approach to achieve the most personal support for students with different backgrounds and preferences in studying an Informatics course. Design/Methodology/Approach: The presented methodology is based on the main principles of flexible and blended learning. The authors considered three main aspects:…

  17. A Correlational Study of Self-Directed Learning Readiness and Learning Activity Preference for Continuing Medical Education among Family Physicians

    Science.gov (United States)

    Barrett, Theresa J.

    2014-01-01

    This quantitative, nonexperimental, correlational study sought to determine whether a relationship exists between family physicians' levels of self-directed learning readiness (SDLR) and their preferences for continuing medical education (CME) activities. The study also sought to determine whether years in clinical practice or size of clinical…

  18. School and workplace as learning environments in VET

    DEFF Research Database (Denmark)

    Jørgensen, Christian Helms

    as limitations for learning, and thus frame the opportunities for learning. The second, the socio-cultural learning environment is constituted by the social and cultural relations and communities in the workplace and in school. I distinguish between three different types of social relations in the workplace......The aim of this paper is to present an analytical model to study school and workplace as different learning environments and discuss some findings from the application of the model on a case study. First the paper tries to answer the question: what is a learning environment? In most other studies...... schools and workplaces are not only considered to be different learning environment, but are also analysed using different approaches. In this paper I will propose a common model to analyse and compare the two learning environments, drawing on sociology of work (Kern & Schumann 1984; Braverman 1976...

  19. Learning Preferences and Impacts of Education Programs in Dog Health Programs in Five Rural and Remote Australian Indigenous Communities

    Science.gov (United States)

    Constable, Sophie; Dixon, Roselyn; Dixon, Robert

    2011-01-01

    As part of strategies to improve dog and community health in rural and remote Indigenous communities, this study investigated preferences and impacts of dog health education programs. Semistructured interviews with 63 residents from five communities explored learning preferences. Though each community differed, on average yarning was preferred by…

  20. A study on subjective preference to daylit residential indoor environment using conjoint analysis

    Energy Technology Data Exchange (ETDEWEB)

    Cheung, H.D.; Chung, T.M. [Department of Building Services Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (China)

    2008-12-15

    This paper reports a study of the subjective preference to daylit indoor environment of a residential room using conjoint analysis, which is a highly reputable method used to analyze the mutual relationships among different attributes. Seven influential attributes were selected in the view of daylight performance assessment. They include 'general brightness', 'desktop brightness', 'perceived glare', 'sunlight penetration', 'quality of view', 'user friendliness of shading control' and 'impact on energy'. Each of them has two levels. A total of eight combinations (profiles) of attributes with various levels were established by adopting fractional factorial design. Subjects were asked to rank-order the eight profiles according to their preference in terms of daylit environment of a residential room. The study aims at finding out the relative impact of the seven selected attributes to the overall daylight performance and seeking an organized assessment method for a residential daylit environment. Conjoint analysis found that the seven attributes have importance level in the order of 'quality of view', 'general brightness', 'impact on energy', 'user friendliness of shading control', 'perceived glare', 'desktop brightness' and 'sunlight penetration'. (author)

  1. Designing an Interactive Multimedia Environment for Learning and Aiding Troubleshooting

    National Research Council Canada - National Science Library

    Kolodner, Janet

    1997-01-01

    .... However troubleshooting is a complex process both to learn and perform. This report examines the prospects for designing an interactive learning environment that helps users acquire and engage in effective troubleshooting...

  2. Awareness for Contextualized Digital Contents in Ubiquitous Learning Environments

    NARCIS (Netherlands)

    Börner, Dirk

    2010-01-01

    Börner, D. (2009). Awareness for Contextualized Digital Contents in Ubiquitous Learning Environments. Presented at the Doctoral Consortium of the Fourth European Conference on Technology Enhanced Learning (EC-TEL 2009). September, 29-October, 2, 2009, Nice, France.

  3. Intellectual Property and Copyright Issues in Online Learning Environments.

    Science.gov (United States)

    Szanto, Edit

    2001-01-01

    Provides an overview of intellectual property and copyright issues as they relate to online learning environments. Includes a historical perspective; laws and regulations; liability; Web-related issues; higher education; distance learning; compliance strategies; and policy recommendations. (Author/LRW)

  4. Preferences for Learning and Skill Development at Work: Comparison of Two Generations

    Directory of Open Access Journals (Sweden)

    Mariya Karaivanova

    2014-09-01

    Full Text Available The changing economic conditions of the current dynamic and insecure labour market make learning a constant preoccupation of the workforce with view of meeting the growing qualification demands. These demands are likely to influence the work preferences of both young people now entering the labour market and older people with established career paths. Research findings suggest that the younger generation exhibits a stronger orientation towards learning and skill development as compared to the older generations. Moreover, studies show that the younger people are more ready to leave the organization when they have better learning opportunities elsewhere. The present study aims at establishing how preferences for learning and skill development in the workplace relate to a number of job and organizational characteristics. Particular focus is placed on the predictive capacity of perceived learning opportunities towards the tendency to leave the organization for either of the two generations. The study addresses work preferences of two generations in the Bulgarian labour market. To this aim, 121 respondents answered a 55-item questionnaire consisting of newly developed scales as well as scales based on or adopted from standardized instruments such as the Extended Delft Measurement Kit (Roe et al., 2000. Contrary to findings from previous research done in countries with different cultural and socio-economic background, the older people in our sample were more eager to learn and more ready to leave their organization in pursuit of better opportunities, as compared to the younger generation. Another noteworthy conclusion is that the preferences for learning and development form different patterns in each of the two age groups and are expressed in a different way for each of the two generations.

  5. Nursing students' perceptions of learning in practice environments: a review.

    Science.gov (United States)

    Henderson, Amanda; Cooke, Marie; Creedy, Debra K; Walker, Rachel

    2012-04-01

    Effective clinical learning requires integration of nursing students into ward activities, staff engagement to address individual student learning needs, and innovative teaching approaches. Assessing characteristics of practice environments can provide useful insights for development. This study identified predominant features of clinical learning environments from nursing students' perspectives across studies using the same measure in different countries over the last decade. Six studies, from three different countries, using the Clinical Leaning Environment Inventory (CLEI) were reviewed. Studies explored consistent trends about learning environment. Students rated sense of task accomplishment high. Affiliation also rated highly though was influenced by models of care. Feedback measuring whether students' individual needs and views were accommodated consistently rated lower. Across different countries students report similar perceptions about learning environments. Clinical learning environments are most effective in promoting safe practice and are inclusive of student learners, but not readily open to innovation and challenges to routine practices. Crown Copyright © 2011. Published by Elsevier Ltd. All rights reserved.

  6. Supporting cognitive engagement in a learning-by-doing learning environment: Case studies of participant engagement and social configurations in Kitchen Science Investigators

    Science.gov (United States)

    Gardner, Christina M.

    Learning-by-doing learning environments support a wealth of physical engagement in activities. However, there is also a lot of variability in what participants learn in each enactment of these types of environments. Therefore, it is not always clear how participants are learning in these environments. In order to design technologies to support learning in these environments, we must have a greater understanding of how participants engage in learning activities, their goals for their engagement, and the types of help they need to cognitively engage in learning activities. To gain a greater understanding of participant engagement and factors and circumstances that promote and inhibit engagement, this dissertation explores and answers several questions: What are the types of interactions and experiences that promote and /or inhibit learning and engagement in learning-by-doing learning environments? What are the types of configurations that afford or inhibit these interactions and experiences in learning-by-doing learning environments? I explore answers to these questions through the context of two enactments of Kitchen Science Investigators (KSI), a learning-by-doing learning environment where middle-school aged children learn science through cooking from customizing recipes to their own taste and texture preferences. In small groups, they investigate effects of ingredients through the design of cooking and science experiments, through which they experience and learn about chemical, biological, and physical science phenomena and concepts (Clegg, Gardner, Williams, & Kolodner, 2006). The research reported in this dissertation sheds light on the different ways participant engagement promotes and/or inhibits cognitive engagement in by learning-by-doing learning environments through two case studies. It also provides detailed descriptions of the circumstances (social, material, and physical configurations) that promote and/or inhibit participant engagement in these

  7. Early results of experiments with responsive open learning environments

    OpenAIRE

    Friedrich, M.; Wolpers, M.; Shen, R.; Ullrich, C.; Klamma, R.; Renzel, D.; Richert, A.; Heiden, B. von der

    2011-01-01

    Responsive open learning environments (ROLEs) are the next generation of personal learning environments (PLEs). While PLEs rely on the simple aggregation of existing content and services mainly using Web 2.0 technologies, ROLEs are transforming lifelong learning by introducing a new infrastructure on a global scale while dealing with existing learning management systems, institutions, and technologies. The requirements engineering process in highly populated test-beds is as important as the t...

  8. Interdisciplinary and inter-institutional differences in learning preferences among Malaysian medical and health sciences students

    Directory of Open Access Journals (Sweden)

    REBECCA S.Y. WONG

    2017-10-01

    Full Text Available Introduction: The learner-centred approach in medical and health sciences education makes the study of learning preferences relevant and important. This study aimed to investigate the interdisciplinary, interinstitutional, gender and racial differences in the preferred learning styles among Malaysian medical and health sciences students in three Malaysian universities, namely SEGi University (SEGi, University of Malaya (UM and Universiti Tunku Abdul Rahman (UTAR. It also investigated the differences in the preferred learning styles of these students between high achievers and non-high achievers. Methods: This cross-sectional study was carried out on medical and health sciences students from three Malaysian universities following the approval of the Research and Ethics Committee, SEGi University. Purposive sampling was used and the preferred learning styles were assessed using the VARK questionnaire. The questionnaire was validated prior to its use. Three disciplines (medicine, pharmacy and dentistry were chosen based on their entry criteria and some similarities in their course structure. The three participating universities were Malaysian universities with a home-grown undergraduate entry medical program and students from a diverse cultural and socioeconomic background. The data were analysed using the Statistical Package for the Social Sciences (SPSS software, version 22. VARK subscale scores were expressed as mean±standard deviation. Comparisons of the means were carried out using t-test or ANOVA. A p value of 0.05. Conclusion: This study gives an insight into the learner characteristics of more than one medical school in Malaysia. Such multi-institutional studies are lacking in the published literature and this study gives a better representation of the current situation in the learning preferences among medical students in Malaysia.

  9. Interdisciplinary and inter-institutional differences in learning preferences among Malaysian medical and health sciences students.

    Science.gov (United States)

    Wong, Rebecca S Y; Siow, Heng Loke; Kumarasamy, Vinoth; Shaherah Fadhlullah Suhaimi, Nazrila

    2017-10-01

    The learner-centred approach in medical and health sciences education makes the study of learning preferences relevant and important. This study aimed to investigate the interdisciplinary, inter-institutional, gender and racial differences in the preferred learning styles among Malaysian medical and health sciences students in three Malaysian universities, namely SEGi University (SEGi), University of Malaya (UM) and Universiti Tunku Abdul Rahman (UTAR). It also investigated the differences in the preferred learning styles of these students between high achievers and non-high achievers. This cross-sectional study was carried out on medical and health sciences students from three Malaysian universities following the approval of the Research and Ethics Committee, SEGi University. Purposive sampling was used and the preferred learning styles were assessed using the VARK questionnaire. The questionnaire was validated prior to its use. Three disciplines (medicine, pharmacy and dentistry) were chosen based on their entry criteria and some similarities in their course structure. The three participating universities were Malaysian universities with a home-grown undergraduate entry medical program and students from a diverse cultural and socioeconomic background. The data were analysed using the Statistical Package for the Social Sciences (SPSS) software, version 22. VARK subscale scores were expressed as mean+standard deviation. Comparisons of the means were carried out using t-test or ANOVA. A p value of 0.05). This study gives an insight into the learner characteristics of more than one medical school in Malaysia. Such multi-institutional studies are lacking in the published literature and this study gives a better representation of the current situation in the learning preferences among medical students in Malaysia.

  10. Mobile Learning Environment System (MLES): The Case of Android-based Learning Application on Undergraduates' Learning

    OpenAIRE

    Hanafi, Hafizul Fahri; Samsudin, Khairulanuar

    2012-01-01

    Of late, mobile technology has introduced new, novel environment that can be capitalized to further enrich the teaching and learning process in classrooms. Taking cognizance of this promising setting, a study was undertaken to investigate the impact of such an environment enabled by android platform on the learning process among undergraduates of Sultan Idris Education University, Malaysia; in particular, this paper discusses critical aspects of the design and implementation of the android le...

  11. The Role of Work-Integrated Learning in Student Preferences of Instructional Methods in an Accounting Curriculum

    Science.gov (United States)

    Abeysekera, Indra

    2015-01-01

    The role of work-integrated learning in student preferences of instructional methods is largely unexplored across the accounting curriculum. This study conducted six experiments to explore student preferences of instructional methods for learning, in six courses of the accounting curriculum that differed in algorithmic rigor, in the context of a…

  12. 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.

  13. Language Learning in Outdoor Environments: Perspectives of preschool staff

    Directory of Open Access Journals (Sweden)

    Martina Norling

    2015-03-01

    Full Text Available Language environment is highlighted as an important area in the early childhood education sector. The term language environment refers to language-promoting aspects of education, such as preschool staff’s use of verbal language in interacting with the children. There is a lack of research about language learning in outdoor environments; thus children’s language learning is mostly based on the indoor physical environment. The aim of this study is therefore to explore, analyse, and describe how preschool staff perceive language learning in outdoor environments. The data consists of focus-group interviews with 165 preschool staff members, conducted in three cities in Sweden. The study is meaningful, thus results contribute knowledge regarding preschool staffs’ understandings of language learning in outdoor environments and develop insights to help preschool staff stimulate children’s language learning in outdoor environments.

  14. Quality of Learning Facilities and Learning Environment: Challenges for Teaching and Learning in Kenya's Public Universities

    Science.gov (United States)

    Ndirangu, Mwangi; Udoto, Maurice O.

    2011-01-01

    Purpose: The purpose of this article is to report findings on the perceptions of quality of educational facilities in Kenyan public universities, and the implications for teaching/learning, and the learning environment. Design/methodology/approach: The study adopted an exploratory descriptive design. A total of 332 and 107 undergraduate students…

  15. DynaLearn-An Intelligent Learning Environment for Learning Conceptual Knowledge

    NARCIS (Netherlands)

    Bredeweg, Bert; Liem, Jochem; Beek, Wouter; Linnebank, Floris; Gracia, Jorge; Lozano, Esther; Wißner, Michael; Bühling, René; Salles, Paulo; Noble, Richard; Zitek, Andreas; Borisova, Petya; Mioduser, David

    2013-01-01

    Articulating thought in computerbased media is a powerful means for humans to develop their understanding of phenomena. We have created DynaLearn, an intelligent learning environment that allows learners to acquire conceptual knowledge by constructing and simulating qualitative models of how systems

  16. Use of Online Learning Resources in the Development of Learning Environments at the Intersection of Formal and Informal Learning: The Student as Autonomous Designer

    Directory of Open Access Journals (Sweden)

    Maja Lebeničnik

    2015-06-01

    Full Text Available Learning resources that are used in the education of university students are often available online. The nature of new technologies causes an interweaving of formal and informal learning, with the result that a more active role is expected from students with regard to the use of ICT for their learning. The variety of online learning resources (learning content and learning tools facilitates informed use and enables students to create the learning environment that is most appropriate for their personal learning needs and preferences. In contemporary society, the creation of an inclusive learning environment supported by ICT is pervasive. The model of Universal Design for Learning is becoming increasingly significant in responding to the need for inclusive learning environments. In this article, we categorize different online learning activities into the principles of Universal Design for Learning. This study examines ICT use among university students (N = 138, comparing student teachers with students in other study programs. The findings indicate that among all students, activities with lower demands for engagement are most common. Some differences were observed between student teachers and students from other programs. Student teachers were more likely than their peers to perform certain activities aimed at meeting diverse learner needs, but the percentage of students performing more advanced activities was higher for students in other study programs than for student teachers. The categorization of activities revealed that student teachers are less likely to undertake activities that involve interaction with others. Among the sample of student teachers, we found that personal innovativeness is correlated with diversity of activities in only one category. The results show that student teachers should be encouraged to perform more advanced activities, especially activities involving interaction with others, collaborative learning and use of ICT to

  17. The clinical learning environment in nursing education: a concept analysis.

    Science.gov (United States)

    Flott, Elizabeth A; Linden, Lois

    2016-03-01

    The aim of this study was to report an analysis of the clinical learning environment concept. Nursing students are evaluated in clinical learning environments where skills and knowledge are applied to patient care. These environments affect achievement of learning outcomes, and have an impact on preparation for practice and student satisfaction with the nursing profession. Providing clarity of this concept for nursing education will assist in identifying antecedents, attributes and consequences affecting student transition to practice. The clinical learning environment was investigated using Walker and Avant's concept analysis method. A literature search was conducted using WorldCat, MEDLINE and CINAHL databases using the keywords clinical learning environment, clinical environment and clinical education. Articles reviewed were written in English and published in peer-reviewed journals between 1995-2014. All data were analysed for recurring themes and terms to determine possible antecedents, attributes and consequences of this concept. The clinical learning environment contains four attribute characteristics affecting student learning experiences. These include: (1) the physical space; (2) psychosocial and interaction factors; (3) the organizational culture and (4) teaching and learning components. These attributes often determine achievement of learning outcomes and student self-confidence. With better understanding of attributes comprising the clinical learning environment, nursing education programmes and healthcare agencies can collaborate to create meaningful clinical experiences and enhance student preparation for the professional nurse role. © 2015 John Wiley & Sons Ltd.

  18. Preferred sets of states, predictability, classicality, and the environment-induced decoherence

    International Nuclear Information System (INIS)

    Zurek, W.H.

    1992-01-01

    Selection of the preferred classical set of states in the process of decoherence -- so important for cosmological considerations -- is discussed with an emphasis on the role of information loss and entropy. Persistence of correlations between the observables of two systems (for instance, a record and a state of a system evolved from the initial conditions described by that record) in the presence of the environment is used to define classical behavior. From the view point of an observer (or any system capable of maintaining records) predictability is a measure of such persistence. Predictability sieve -- a procedure which employs both the statistical and algorithmic entropies to systematicaly explore all of the Hilbert space of open system in order to eliminate the majority of the unpredictable and non-classical states and to locate the islands of predictability including the preferred pointer basis is proposed. Predictably evolving states of decohering systems along with the time-ordered sequences of records of their evolution define the effectively classical branches of the universal wavefunction in the context of the ''Many Worlds Interpretation''. The relation between the consistent histories approach and the preferred basis is considered. It is demonstrated that histories of sequences of events corresponding to projections onto the states of the pointer basis are consistent

  19. Effects of prior knowledge on learning from different compositions of representations in a mobile learning environment

    NARCIS (Netherlands)

    T.-C. Liu (Tzu-Chien); Y.-C. Lin (Yi-Chun); G.W.C. Paas (Fred)

    2014-01-01

    textabstractTwo experiments examined the effects of prior knowledge on learning from different compositions of multiple representations in a mobile learning environment on plant leaf morphology for primary school students. Experiment 1 compared the learning effects of a mobile learning environment

  20. Students' Conception of Learning Environment and Their Approach to Learning and Its Implication on Quality Education

    Science.gov (United States)

    Belaineh, Matheas Shemelis

    2017-01-01

    Quality of education in higher institutions can be affected by different factors. It partly rests on the learning environment created by teachers and the learning approach students are employing during their learning. The main purpose of this study is to examine the learning environment at Mizan Tepi University from students' perspective and their…

  1. Experiential Learning and Learning Environments: The Case of Active Listening Skills

    Science.gov (United States)

    Huerta-Wong, Juan Enrique; Schoech, Richard

    2010-01-01

    Social work education research frequently has suggested an interaction between teaching techniques and learning environments. However, this interaction has never been tested. This study compared virtual and face-to-face learning environments and included active listening concepts to test whether the effectiveness of learning environments depends…

  2. 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

  3. Visual diet versus associative learning as mechanisms of change in body size preferences.

    Directory of Open Access Journals (Sweden)

    Lynda G Boothroyd

    Full Text Available Systematic differences between populations in their preferences for body size may arise as a result of an adaptive 'prepared learning' mechanism, whereby cues to health or status in the local population are internalized and affect body preferences. Alternatively, differences between populations may reflect their 'visual diet' as a cognitive byproduct of mere exposure. Here we test the relative importance of these two explanations for variation in body preferences. Two studies were conducted where female observers were exposed to pictures of high or low BMI women which were either aspirational (healthy, attractive models in high status clothes or non-aspirational (eating disordered patients in grey leotards, or to combinations thereof, in order to manipulate their body-weight preferences which were tested at baseline and at post-test. Overall, results showed good support for visual diet effects (seeing a string of small or large bodies resulted in a change from pre- to post-test whether the bodies were aspirational or not and also some support for the associative learning explanation (exposure to aspirational images of overweight women induced a towards preferring larger bodies, even when accompanied by equal exposure to lower weight bodies in the non-aspirational category. Thus, both influences may act in parallel.

  4. An exploratory analysis of personality, attitudes, and study skills on the learning curve within a team-based learning environment.

    Science.gov (United States)

    Persky, Adam M; Henry, Teague; Campbell, Ashley

    2015-03-25

    To examine factors that determine the interindividual variability of learning within a team-based learning environment. Students in a pharmacokinetics course were given 4 interim, low-stakes cumulative assessments throughout the semester and a cumulative final examination. Students' Myers-Briggs personality type was assessed, as well as their study skills, motivations, and attitudes towards team-learning. A latent curve model (LCM) was applied and various covariates were assessed to improve the regression model. A quadratic LCM was applied for the first 4 assessments to predict final examination performance. None of the covariates examined significantly impacted the regression model fit except metacognitive self-regulation, which explained some of the variability in the rate of learning. There were some correlations between personality type and attitudes towards team learning, with introverts having a lower opinion of team-learning than extroverts. The LCM could readily describe the learning curve. Extroverted and introverted personality types had the same learning performance even though preference for team-learning was lower in introverts. Other personality traits, study skills, or practice did not significantly contribute to the learning variability in this course.

  5. INTUITEL and the Hypercube Model - Developing Adaptive Learning Environments

    Directory of Open Access Journals (Sweden)

    Kevin Fuchs

    2016-06-01

    Full Text Available In this paper we introduce an approach for the creation of adaptive learning environments that give human-like recommendations to a learner in the form of a virtual tutor. We use ontologies defining pedagogical, didactic and learner-specific data describing a learner's progress, learning history, capabilities and the learner's current state within the learning environment. Learning recommendations are based on a reasoning process on these ontologies and can be provided in real-time. The ontologies may describe learning content from any domain of knowledge. Furthermore, we describe an approach to store learning histories as spatio-temporal trajectories and to correlate them with influencing didactic factors. We show how such analysis of spatiotemporal data can be used for learning analytics to improve future adaptive learning environments.

  6. Male Drosophila melanogaster learn to prefer an arbitrary trait associated with female mating status

    DEFF Research Database (Denmark)

    Verzijden, Machteld Nicolette; Abbott, Jessica K.; Philipsborn, Anne von

    2015-01-01

    Although males are generally less discriminating than females when it comes to choosing a mate, they still benefit from distinguishing between mates that are receptive to courtship and those that are not, in order to avoid wasting time and energy. It is known that males of Drosophila melanogaster...... color, but that males which were trained with sexually receptive females of a given eye color showed a preference for that color during a standard binary choice experiment. The learned cue was indeed likely to be truly visual, since the preference disappeared when the binary choice phase...

  7. E-LEARNING PERSONALIZATION BASED ON COLLABORATIVE FILTERING AND LEARNER’S PREFERENCE

    Directory of Open Access Journals (Sweden)

    OUTMANE BOURKOUKOU

    2016-11-01

    Full Text Available Personalized e-learning based on recommender system is recognized as one of the most interesting research field in the education and teaching in this last decade, since, the learning style is specific for each student. In fact from the knowledge of his or her learning style; it is easier to recommend a teaching strategy builds around a collection of the most adequate learning objects to give a better return on the educational level. This work focuses on the design of a personalized e-learning environment based on collaborative filtering and learning styles. Using the learner profile, the device proposed a personalized teaching strategy by selecting and sequencing learning objects fitting with the learners’ learning styles. Moreover, an experiment was conducted to evaluate the performance of our approach. The result reveals the system effectiveness for which it appears that the proposed approach may be promising.

  8. An Analysis of University Students' Attitudes towards Personalized Learning Environments

    Science.gov (United States)

    Sahin, Muhittin; Kisla, Tarik

    2016-01-01

    The aim of this research is to analyze university students' attitudes towards personalized learning environments with respect to the independent variables of gender, age, university, year of study, knowledge about the environment, participation in the environment and being willing to participate in the environment. The correlative survey model is…

  9. 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

  10. Associative visual learning by tethered bees in a controlled visual environment.

    Science.gov (United States)

    Buatois, Alexis; Pichot, Cécile; Schultheiss, Patrick; Sandoz, Jean-Christophe; Lazzari, Claudio R; Chittka, Lars; Avarguès-Weber, Aurore; Giurfa, Martin

    2017-10-10

    Free-flying honeybees exhibit remarkable cognitive capacities but the neural underpinnings of these capacities cannot be studied in flying insects. Conversely, immobilized bees are accessible to neurobiological investigation but display poor visual learning. To overcome this limitation, we aimed at establishing a controlled visual environment in which tethered bees walking on a spherical treadmill learn to discriminate visual stimuli video projected in front of them. Freely flying bees trained to walk into a miniature Y-maze displaying these stimuli in a dark environment learned the visual discrimination efficiently when one of them (CS+) was paired with sucrose and the other with quinine solution (CS-). Adapting this discrimination to the treadmill paradigm with a tethered, walking bee was successful as bees exhibited robust discrimination and preferred the CS+ to the CS- after training. As learning was better in the maze, movement freedom, active vision and behavioral context might be important for visual learning. The nature of the punishment associated with the CS- also affects learning as quinine and distilled water enhanced the proportion of learners. Thus, visual learning is amenable to a controlled environment in which tethered bees learn visual stimuli, a result that is important for future neurobiological studies in virtual reality.

  11. When I grow up: the relationship of science learning activation to STEM career preferences

    Science.gov (United States)

    Dorph, Rena; Bathgate, Meghan E.; Schunn, Christian D.; Cannady, Matthew A.

    2018-06-01

    This paper proposes three new measures of components STEM career preferences (affinity, certainty, and goal), and then explores which dimensions of science learning activation (fascination, values, competency belief, and scientific sensemaking) are predictive of STEM career preferences. Drawn from the ALES14 dataset, a sample of 2938 sixth and eighth grade middle-school students from 11 schools in two purposefully selected diverse areas (Western Pennsylvania & the Bay Area of California) was used for the analyses presented in this paper. These schools were chosen to represent socio-economic and ethnic diversity. Findings indicate that, overall, youth who are activated towards science learning are more likely to have affinity towards STEM careers, certainty about their future career goals, and have identified a specific STEM career goal. However, different dimensions of science learning activation are more strongly correlated with different aspects career preference across different STEM career foci (e.g. science, engineering, technology, health, etc.). Gender, age, minority status, and home resources also have explanatory power. While many results are consistent with prior research, there are also novel results that offer important fodder for future research. Critically, our strategy of measuring affinity towards the specific disciplines that make up STEM, measuring STEM and health career goals separately, and looking at career affinity and career goals separately, offers interesting results and underscores the value of disentangling the conceptual melting pot of what has previously been known as 'career interest.' Study findings also have implications for design of science learning opportunities for youth.

  12. Learning Preference Models from Data: On the Problem of Label Ranking and Its Variants

    Science.gov (United States)

    Hüllermeier, Eyke; Fürnkranz, Johannes

    The term “preference learning” refers to the application of machine learning methods for inducing preference models from empirical data. In the recent literature, corresponding problems appear in various guises. After a brief overview of the field, this work focuses on a particular learning scenario called label ranking where the problem is to learn a mapping from instances to rankings over a finite number of labels. Our approach for learning such a ranking function, called ranking by pairwise comparison (RPC), first induces a binary preference relation from suitable training data, using a natural extension of pairwise classification. A ranking is then derived from this relation by means of a ranking procedure. This paper elaborates on a key advantage of such an approach, namely the fact that our learner can be adapted to different loss functions by using different ranking procedures on the same underlying order relations. In particular, the Spearman rank correlation is minimized by using a simple weighted voting procedure. Moreover, we discuss a loss function suitable for settings where candidate labels must be tested successively until a target label is found. In this context, we propose the idea of “empirical conditioning” of class probabilities. A related ranking procedure, called “ranking through iterated choice”, is investigated experimentally.

  13. Large-scale assessment of olfactory preferences and learning in Drosophila melanogaster: behavioral and genetic components

    Directory of Open Access Journals (Sweden)

    Elisabetta Versace

    2015-09-01

    Full Text Available In the Evolve and Resequence method (E&R, experimental evolution and genomics are combined to investigate evolutionary dynamics and the genotype-phenotype link. As other genomic approaches, this methods requires many replicates with large population sizes, which imposes severe restrictions on the analysis of behavioral phenotypes. Aiming to use E&R for investigating the evolution of behavior in Drosophila, we have developed a simple and effective method to assess spontaneous olfactory preferences and learning in large samples of fruit flies using a T-maze. We tested this procedure on (a a large wild-caught population and (b 11 isofemale lines of Drosophila melanogaster. Compared to previous methods, this procedure reduces the environmental noise and allows for the analysis of large population samples. Consistent with previous results, we show that flies have a preference for orange vs. apple odor. With our procedure wild-derived flies exhibit olfactory learning in the absence of previous laboratory selection. Furthermore, we find genetic differences in the olfactory learning with relatively high heritability. We propose this large-scale method as an effective tool for E&R and genome-wide association studies on olfactory preferences and learning.

  14. Risk attitudes in a changing environment: An evolutionary model of the fourfold pattern of risk preferences.

    Science.gov (United States)

    Mallpress, Dave E W; Fawcett, Tim W; Houston, Alasdair I; McNamara, John M

    2015-04-01

    A striking feature of human decision making is the fourfold pattern of risk attitudes, involving risk-averse behavior in situations of unlikely losses and likely gains, but risk-seeking behavior in response to likely losses and unlikely gains. Current theories to explain this pattern assume particular psychological processes to reproduce empirical observations, but do not address whether it is adaptive for the decision maker to respond to risk in this way. Here, drawing on insights from behavioral ecology, we build an evolutionary model of risk-sensitive behavior, to investigate whether particular types of environmental conditions could favor a fourfold pattern of risk attitudes. We consider an individual foraging in a changing environment, where energy is needed to prevent starvation and build up reserves for reproduction. The outcome, in terms of reproductive value (a rigorous measure of evolutionary success), of a one-off choice between a risky and a safe gain, or between a risky and a safe loss, determines the risk-sensitive behavior we should expect to see in this environment. Our results show that the fourfold pattern of risk attitudes may be adaptive in an environment in which conditions vary stochastically but are autocorrelated in time. In such an environment the current options provide information about the likely environmental conditions in the future, which affect the optimal pattern of risk sensitivity. Our model predicts that risk preferences should be both path dependent and affected by the decision maker's current state. (c) 2015 APA, all rights reserved).

  15. A Study on Students’ Views On Blended Learning Environment

    Directory of Open Access Journals (Sweden)

    Meryem YILMAZ SOYLU

    2006-07-01

    Full Text Available In the 21st century, information and communication technologies (ICT have developed rapidly and influenced most of the fields and education as well. Then, ICT have offered a favorable environment for the development and use of various methods and tools. With the developments in technology, blended learning has gained considerable popularity in recent years. Together with the developments it brought along the description of particular forms of teaching with technology. Blended learning is defined simply as a learning environment that combines technology with face-to-face learning. In other words blended learning means using a variety of delivery methods to best meet the course objectives by combining face-to-face teaching in a traditional classroom with teaching online. This article examines students’ views on blended learning environment. The study was conducted on 64 students from Department of Computer Education and Instructional Technologies in 2005–2006 fall semester in Instructional Design and Authoring Languages in PC Environment at Hacettepe University. The results showed that the students enjoyed taking part in the blended learning environment. Students’ achievement levels and their frequency of participation to forum affected their views about blended learning environment. Face-to-face interaction in blended learning application had the highest score. This result demonstrated the importance of interaction and communication for the success of on-line learning.

  16. Web-Based Learning Environment Based on Students’ Needs

    Science.gov (United States)

    Hamzah, N.; Ariffin, A.; Hamid, H.

    2017-08-01

    Traditional learning needs to be improved since it does not involve active learning among students. Therefore, in the twenty-first century, the development of internet technology in the learning environment has become the main needs of each student. One of the learning environments to meet the needs of the teaching and learning process is a web-based learning environment. This study aims to identify the characteristics of a web-based learning environment that supports students’ learning needs. The study involved 542 students from fifteen faculties in a public higher education institution in Malaysia. A quantitative method was used to collect the data via a questionnaire survey by randomly. The findings indicate that the characteristics of a web-based learning environment that support students’ needs in the process of learning are online discussion forum, lecture notes, assignments, portfolio, and chat. In conclusion, the students overwhelmingly agreed that online discussion forum is the highest requirement because the tool can provide a space for students and teachers to share knowledge and experiences related to teaching and learning.

  17. Miscellany of Students' Satisfaction in an Asynchronous Learning Environment

    Science.gov (United States)

    Larbi-Siaw, Otu; Owusu-Agyeman, Yaw

    2017-01-01

    This study investigates the determinants of students' satisfaction in an asynchronous learning environment using seven key considerations: the e-learning environment, student-content interaction, student and student interaction, student-teacher interaction, group cohesion and timely participation, knowledge of Internet usage, and satisfaction. The…

  18. The Influence of Virtual Learning Environments in Students' Performance

    Science.gov (United States)

    Alves, Paulo; Miranda, Luísa; Morais, Carlos

    2017-01-01

    This paper focuses mainly on the relation between the use of a virtual learning environment (VLE) and students' performance. Therefore, virtual learning environments are characterised and a study is presented emphasising the frequency of access to a VLE and its relation with the students' performance from a public higher education institution…

  19. Optimising the Blended Learning Environment: The Arab Open University Experience

    Science.gov (United States)

    Hamdi, Tahrir; Abu Qudais, Mohammed

    2018-01-01

    This paper will offer some insights into possible ways to optimise the blended learning environment based on experience with this modality of teaching at Arab Open University/Jordan branch and also by reflecting upon the results of several meta-analytical studies, which have shown blended learning environments to be more effective than their face…

  20. Postgraduate trainees' perceptions of the learning environment in a ...

    African Journals Online (AJOL)

    Increased performance in both areas requires routine assessment of the learning environment to identify components that need attention. Objective. To evaluate the perception of junior doctors undergoing specialist training regarding the learning environment in a teaching hospital. Methods. This was a single-centre, ...

  1. Theoretical Foundations for Enhancing Social Connectedness in Online Learning Environments

    Science.gov (United States)

    Slagter van Tryon, Patricia J.; Bishop, M. J.

    2009-01-01

    Group social structure provides a comfortable and predictable context for interaction in learning environments. Students in face-to-face learning environments process social information about others in order to assess traits, predict behaviors, and determine qualifications for assuming particular responsibilities within a group. In online learning…

  2. From Personal to Social: Learning Environments that Work

    Science.gov (United States)

    Camacho, Mar; Guilana, Sonia

    2011-01-01

    VLE (Virtual Learning Environments) are rapidly falling short to meet the demands of a networked society. Web 2.0 and social networks are proving to offer a more personalized, open environment for students to learn formally as they are already doing informally. With the irruption of social media into society, and therefore, education, many voices…

  3. Evaluation of Hybrid and Distance Education Learning Environments in Spain

    Science.gov (United States)

    Ferrer-Cascales, Rosario; Walker, Scott L.; Reig-Ferrer, Abilio; Fernandez-Pascual, Maria Dolores; Albaladejo-Blazquez, Natalia

    2011-01-01

    This article describes the adaptation and validation of the "Distance Education Learning Environments Survey" (DELES) for use in investigating the qualities found in distance and hybrid education psycho-social learning environments in Spain. As Europe moves toward post-secondary student mobility, equanimity in access to higher education,…

  4. Distributed Scaffolding: Synergy in Technology-Enhanced Learning Environments

    Science.gov (United States)

    Ustunel, Hale H.; Tokel, Saniye Tugba

    2018-01-01

    When technology is employed challenges increase in learning environments. Kim et al. ("Sci Educ" 91(6):1010-1030, 2007) presented a pedagogical framework that provides a valid technology-enhanced learning environment. The purpose of the present design-based study was to investigate the micro context dimension of this framework and to…

  5. Mobile e-Learning for Next Generation Communication Environment

    Science.gov (United States)

    Wu, Tin-Yu; Chao, Han-Chieh

    2008-01-01

    This article develops an environment for mobile e-learning that includes an interactive course, virtual online labs, an interactive online test, and lab-exercise training platform on the fourth generation mobile communication system. The Next Generation Learning Environment (NeGL) promotes the term "knowledge economy." Inter-networking…

  6. Digital Communication Applications in the Online Learning Environment

    Science.gov (United States)

    Lambeth, Krista Jill

    2011-01-01

    Scope and method of study. The purpose of this study was for the researcher to obtain a better understanding of the online learning environment, to explore the various ways online class instructors have incorporated digital communication applications to try and provide learner-centered online learning environments, and to examine students'…

  7. 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

  8. The fluidities of digital learning environments and resources

    DEFF Research Database (Denmark)

    Hansbøl, Mikala

    2012-01-01

    The research project “Educational cultures and serious games on a global market place” (2009-2011) dealt with the challenge of the digital learning environment and hence it’s educational development space always existing outside the present space and hence scope of activities. With a reference...... and establishments of the virtual universe called Mingoville.com, the research shows a need to include in researchers’ conceptualizations of digital learning environments and resources, their shifting materialities and platformations and hence emerging (often unpredictable) agencies and educational development...... spaces. Keywords: Fluidity, digital learning environment, digital learning resource, educational development space...

  9. Automatic, Global and Dynamic Student Modeling in a Ubiquitous Learning Environment

    Directory of Open Access Journals (Sweden)

    Sabine Graf

    2009-03-01

    Full Text Available Ubiquitous learning allows students to learn at any time and any place. Adaptivity plays an important role in ubiquitous learning, aiming at providing students with adaptive and personalized learning material, activities, and information at the right place and the right time. However, for providing rich adaptivity, the student model needs to be able to gather a variety of information about the students. In this paper, an automatic, global, and dynamic student modeling approach is introduced, which aims at identifying and frequently updating information about students’ progress, learning styles, interests and knowledge level, problem solving abilities, preferences for using the system, social connectivity, and current location. This information is gathered in an automatic way, using students’ behavior and actions in different learning situations provided by different components/services of the ubiquitous learning environment. By providing a comprehensive student model, students can be supported by rich adaptivity in every component/service of the learning environment. Furthermore, the information in the student model can help in giving teachers a better understanding about the students’ learning process.

  10. Towards Entrepreneurial Learning Competencies: The Perspective of Built Environment Students

    Science.gov (United States)

    Ernest, Kissi; Matthew, Somiah K.; Samuel, Ansah K.

    2015-01-01

    This paper sought to discuss entrepreneurial learning competencies by determining the outcome of entrepreneurial learning on the views of built environment students in the university setting. In this study, three relevant competencies were identified for entrepreneurial learning through literature, namely: entrepreneurial attitude, entrepreneurial…

  11. Knowledge Sharing Practice in a Play-Like Learning Environment

    DEFF Research Database (Denmark)

    Benjaminsen, Nana

    2007-01-01

    The topic of this paper is play-like learning as it occurs when technology based learning environments is invited into the classroom. Observations of 5th grade classes playing with Lego Robolab, is used to illustrate that different ways of learning becomes visible when digital technology...

  12. Language Learning in Virtual Reality Environments: Past, Present, and Future

    Science.gov (United States)

    Lin, Tsun-Ju; Lan, Yu-Ju

    2015-01-01

    This study investigated the research trends in language learning in a virtual reality environment by conducting a content analysis of findings published in the literature from 2004 to 2013 in four top ranked computer-assisted language learning journals: "Language Learning & Technology," "CALICO Journal," "Computer…

  13. Creating a Total Quality Environment (TQE) for Learning

    Science.gov (United States)

    Freed, Jann E.

    2005-01-01

    This article describes a model for creating a total quality environment (TQE) for learning in which everyone is considered a learner. The model consists of 11 interrelated characteristics derived from the literature in the areas of continuous improvement, leadership, learning, learning organizations, and spirituality. The characteristics in the…

  14. ADILE: Architecture of a database-supported learning environment

    NARCIS (Netherlands)

    Hiddink, G.W.

    2001-01-01

    This article proposes an architecture for distributed learning environments that use databases to store learning material. As the layout of learning material can inhibit reuse, the ar-chitecture implements the notion of "separation of layout and structure" using XML technology. Also, the

  15. Using Scaffolding to Improve Student Learning in Legal Environment Courses

    Science.gov (United States)

    May, Diane

    2014-01-01

    Students taking the initial legal environment course in a business school generally have little background in the law. Most of these students are learning new terms and are exposed to the workings of the legal system and statutes and cases for the first time. Some students have characterized learning the law as like "learning a new…

  16. An Interactive Learning Environment for Information and Communication Theory

    Science.gov (United States)

    Hamada, Mohamed; Hassan, Mohammed

    2017-01-01

    Interactive learning tools are emerging as effective educational materials in the area of computer science and engineering. It is a research domain that is rapidly expanding because of its positive impacts on motivating and improving students' performance during the learning process. This paper introduces an interactive learning environment for…

  17. Learning from data for aquatic and geothenical environments

    NARCIS (Netherlands)

    Bhattacharya, B.

    2005-01-01

    The book presents machine learning as an approach to build models that learn from data, and that can be used to complement the existing modelling practice in aquatic and geotechnical environments. It provides concepts of learning from data, and identifies segmentation (clustering), classification,

  18. 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.

  19. Blended learning in a first-year language class: Evaluating the acceptance of an interactive learning environment

    Directory of Open Access Journals (Sweden)

    Jako Olivier

    2016-10-01

    Full Text Available Increasingly blended learning, as a combination of face-to-face and online instruction is applied in university classrooms. In this study the use of an interactive learning environment (ILE, within a Sakai-based learning management system, as well as face-to-face teaching and learning in a first-year Afrikaans language class is explored. The Technology Acceptance Model (TAM was employed by means of a survey and the Structure Equation Model was used to explore factors relevant to this first-year class. In addition, qualitative research was conducted through an open questionnaire in order to determine the perceptions regarding the blended learning context and the ILE. It was found that students are generally able to function within the ILE and they are quite positive towards the use of the learning environment for learning and teaching. However, it is clear that some students still prefer printed study material. Despite the fact that students indicated that they use the ILE daily, actual usage statistics did not always correspond. Finally, this paper makes suggestions with regard to adapting teaching in terms of students’ behaviour based on their computer anxiety and Internet self-efficacy as well as the perceived usefulness and ease of use of the ILE.

  20. Just Google It: Young Children’s Preferences for Touchscreens Versus Books in Hypothetical Learning Tasks

    Directory of Open Access Journals (Sweden)

    Sierra Eisen

    2016-09-01

    Full Text Available Children today regularly interact with touchscreen devices (Rideout, 2013 and thousands of educational mobile applications are marketed to them (Shuler, 2012. Understanding children's own ideas about optimal learning has important implications for education, which is being transformed by electronic mobile devices, yet we know little about how children think about such devices, including what children think touchscreens are useful for. Based on a prior result that children prefer a book over a touchscreen for learning about dogs, the present study explored how children view touchscreens versus books for learning an array of different types of information. Seventy children ages 3 to 6 were presented with six different topics (cooking, today's weather, trees, vacuums, Virginia, and yesterday's football game and chose whether a book or a touchscreen device would be best to use to learn about each topic. Some of this information was time-sensitive, like the current weather; we predicted that children would prefer a touchscreen for time-sensitive information. In addition, each child's parent was surveyed about the child's use of books and touchscreens for educational purposes, both at home and in school. Results indicated that younger children had no preference between books and touchscreen devices across learning tasks. However, 6-year-olds were significantly more likely to choose the touchscreen for several topics. Surprisingly, 6-year-olds chose a touchscreen device to learn about time sensitive weather conditions, but not yesterday's football. Children's choices were not associated with their use of books and touchscreens at home and school.

  1. Just Google It: Young Children’s Preferences for Touchscreens versus Books in Hypothetical Learning Tasks

    Science.gov (United States)

    Eisen, Sierra; Lillard, Angeline S.

    2016-01-01

    Children today regularly interact with touchscreen devices (Rideout, 2013) and thousands of “educational” mobile applications are marketed to them (Shuler, 2012). Understanding children’s own ideas about optimal learning has important implications for education, which is being transformed by electronic mobile devices, yet we know little about how children think about such devices, including what children think touchscreens are useful for. Based on a prior result that children prefer a book over a touchscreen for learning about dogs, the present study explored how children view touchscreens versus books for learning an array of different types of information. Seventy children ages 3–6 were presented with six different topics (cooking, today’s weather, trees, vacuums, Virginia, and yesterday’s football game) and chose whether a book or a touchscreen device would be best to use to learn about each topic. Some of this information was time-sensitive, like the current weather; we predicted that children would prefer a touchscreen for time-sensitive information. In addition, each child’s parent was surveyed about the child’s use of books and touchscreens for educational purposes, both at home and in school. Results indicated that younger children had no preference between books and touchscreen devices across learning tasks. However, 6-year-olds were significantly more likely to choose the touchscreen for several topics. Surprisingly, 6-year-olds chose a touchscreen device to learn about time-sensitive weather conditions, but not yesterday’s football. Children’s choices were not associated with their use of books and touchscreens at home and school. PMID:27713717

  2. "It's like we're grasping at anything": caregivers' education needs and preferred learning methods.

    Science.gov (United States)

    Mastel-Smith, Beth; Stanley-Hermanns, Melinda

    2012-07-01

    In this qualitative descriptive study, we explored caregivers' educational needs and preferred methods of information delivery. Descriptions are based on five focus groups (N = 29) conducted with ethnically diverse, current and past family caregivers, including those who had previously attended a structured educational program. Themes arose from verbatim data transcriptions and coded themes. Four categories of educational needs were identified: (a) respite, (b) caregiving essentials, (c) self-care, and (d) the emotional aspects of caregiving. Advantages and disadvantages of learning methods are discussed, along with reasons for and outcomes of attending caregiver workshops. An informed caregiver model is proposed. Health care providers must assess educational needs and strive to provide appropriate information as dictated by the care recipient's condition and caregiver's expressed desires. Innovative methods of delivering information that are congruent with different caregiving circumstances and learning preferences must be developed and tested.

  3. Place preference and vocal learning rely on distinct reinforcers in songbirds.

    Science.gov (United States)

    Murdoch, Don; Chen, Ruidong; Goldberg, Jesse H

    2018-04-30

    In reinforcement learning (RL) agents are typically tasked with maximizing a single objective function such as reward. But it remains poorly understood how agents might pursue distinct objectives at once. In machines, multiobjective RL can be achieved by dividing a single agent into multiple sub-agents, each of which is shaped by agent-specific reinforcement, but it remains unknown if animals adopt this strategy. Here we use songbirds to test if navigation and singing, two behaviors with distinct objectives, can be differentially reinforced. We demonstrate that strobe flashes aversively condition place preference but not song syllables. Brief noise bursts aversively condition song syllables but positively reinforce place preference. Thus distinct behavior-generating systems, or agencies, within a single animal can be shaped by correspondingly distinct reinforcement signals. Our findings suggest that spatially segregated vocal circuits can solve a credit assignment problem associated with multiobjective learning.

  4. The Learning Impact of a 4-Dimensional Digital Construction Learning Environment

    OpenAIRE

    Chris Landorf; Stephen Ward

    2017-01-01

    This paper addresses a virtual environment approach to work integrated learning for students in construction-related disciplines. The virtual approach provides a safe and pedagogically rigorous environment where students can apply theoretical knowledge in a simulated real-world context. The paper describes the development of a 4-dimensional digital construction environment and associated learning activities funded by the Australian Office for Learning and Teaching. The environment was trialle...

  5. Education for Knowledge Society: Learning and Scientific Innovation Environment

    OpenAIRE

    Alexander O. Karpov

    2017-01-01

    Cognitive-active learning research-type environment is the fundamental component of the education system for the knowledge society. The purpose of the research is the development of conceptual bases and a constructional model of a cognitively active learning environment that stimulates the creation of new knowledge and its socio-economic application. Research methods include epistemic-didactic analysis of empirical material collected as a result of the study of research environments at school...

  6. Perceived Satisfaction, Perceived Usefulness and Interactive Learning Environments as Predictors to Self-Regulation in e-Learning Environments

    Science.gov (United States)

    Liaw, Shu-Sheng; Huang, Hsiu-Mei

    2013-01-01

    The research purpose is to investigate learner self-regulation in e-learning environments. In order to better understand learner attitudes toward e-learning, 196 university students answer a questionnaire survey after use an e-learning system few months. The statistical results showed that perceived satisfaction, perceived usefulness, and…

  7. Interactive learning environments to support independent learning: the impact of discernability of embedded support devices

    NARCIS (Netherlands)

    Martens, Rob; Valcke, Martin; Portier, Stanley

    2017-01-01

    In this article the effectivity of prototypes of interactive learning environments (ILE) is investigated. These computer-based environments are used for independent learning. In the learning materials, represented in the prototypes, a clear distinction is made between the basic content and embedded

  8. Social Contact in Virtual Learning Environments

    DEFF Research Database (Denmark)

    Heilesen, Simon

    2013-01-01

    A common question is whether technology will replace social contact. In this article it is argued that it will not, provided that we learn to use the characteristics of new media constructively in designing for learning. The term “social”, in this context is taken to mean “purposeful communication......” and not “recreational socializing” (even if socializing may indeed facilitate learning)...

  9. Virtual Learning Environments and Learning Forms -experiments in ICT-based learning

    DEFF Research Database (Denmark)

    Helbo, Jan; Knudsen, Morten

    2004-01-01

    This paper report the main results of a three year experiment in ICT-based distance learning. The results are based on a full scale experiment in the education, Master of Industrial Information Technology (MII) and is one of many projects deeply rooted in the project Virtual Learning Environments...... didactic model has until now been a positive experience........ The main problem is that we do not find the same self regulatoring learning effect in the group work among the off-campus students as is the case for on-campus students. Based on feedback from evaluation questionnaires and discussions with the students didactic adjustments have been made. The revised...

  10. Virtual Learning Environments and Learning Forms -experiments in ICT-based learning

    DEFF Research Database (Denmark)

    Helbo, Jan; Knudsen, Morten

    2004-01-01

    This paper report the main results of a three year experiment in ICT-based distance learning. The results are based on a full scale experiment in the education, Master of Industrial Information Technology (MII) and is one of many projects deeply rooted in the project Virtual Learning Environments...... and Learning forms (ViLL). The experiment was to transfer a well functioning on-campus engineering program based on project organized collaborative learning to a technology supported distance education program. After three years the experiments indicate that adjustments are required in this transformation....... The main problem is that we do not find the same self regulatoring learning effect in the group work among the off-campus students as is the case for on-campus students. Based on feedback from evaluation questionnaires and discussions with the students didactic adjustments have been made. The revised...

  11. Virtual learning environment for interactive engagement with advanced quantum mechanics

    Directory of Open Access Journals (Sweden)

    Mads Kock Pedersen

    2016-04-01

    Full Text Available A virtual learning environment can engage university students in the learning process in ways that the traditional lectures and lab formats cannot. We present our virtual learning environment StudentResearcher, which incorporates simulations, multiple-choice quizzes, video lectures, and gamification into a learning path for quantum mechanics at the advanced university level. StudentResearcher is built upon the experiences gathered from workshops with the citizen science game Quantum Moves at the high-school and university level, where the games were used extensively to illustrate the basic concepts of quantum mechanics. The first test of this new virtual learning environment was a 2014 course in advanced quantum mechanics at Aarhus University with 47 enrolled students. We found increased learning for the students who were more active on the platform independent of their previous performances.

  12. Virtual Learning Environment for Interactive Engagement with Advanced Quantum Mechanics

    Science.gov (United States)

    Pedersen, Mads Kock; Skyum, Birk; Heck, Robert; Müller, Romain; Bason, Mark; Lieberoth, Andreas; Sherson, Jacob F.

    2016-06-01

    A virtual learning environment can engage university students in the learning process in ways that the traditional lectures and lab formats cannot. We present our virtual learning environment StudentResearcher, which incorporates simulations, multiple-choice quizzes, video lectures, and gamification into a learning path for quantum mechanics at the advanced university level. StudentResearcher is built upon the experiences gathered from workshops with the citizen science game Quantum Moves at the high-school and university level, where the games were used extensively to illustrate the basic concepts of quantum mechanics. The first test of this new virtual learning environment was a 2014 course in advanced quantum mechanics at Aarhus University with 47 enrolled students. We found increased learning for the students who were more active on the platform independent of their previous performances.

  13. Numerical-Technological Skills and Work Experience in the Perceived Usefulness in an Accounting Virtual Learning Environment

    Science.gov (United States)

    Herrador-Alcaide, Teresa Carmen; Hernández-Solís, Montserrat

    2017-01-01

    The purpose of this study was to analyse the perceived usefulness of a set of Information and Communication Technologies (ICT) applied in a virtual learning environment (VLE) in a distance education model. We analysed whether the numerical and technological preferences of the students could explain the perceived usefulness related to the ICT…

  14. Adaptive Semantic and Social Web-based learning and assessment environment for the STEM

    Science.gov (United States)

    Babaie, Hassan; Atchison, Chris; Sunderraman, Rajshekhar

    2014-05-01

    We are building a cloud- and Semantic Web-based personalized, adaptive learning environment for the STEM fields that integrates and leverages Social Web technologies to allow instructors and authors of learning material to collaborate in semi-automatic development and update of their common domain and task ontologies and building their learning resources. The semi-automatic ontology learning and development minimize issues related to the design and maintenance of domain ontologies by knowledge engineers who do not have any knowledge of the domain. The social web component of the personal adaptive system will allow individual and group learners to interact with each other and discuss their own learning experience and understanding of course material, and resolve issues related to their class assignments. The adaptive system will be capable of representing key knowledge concepts in different ways and difficulty levels based on learners' differences, and lead to different understanding of the same STEM content by different learners. It will adapt specific pedagogical strategies to individual learners based on their characteristics, cognition, and preferences, allow authors to assemble remotely accessed learning material into courses, and provide facilities for instructors to assess (in real time) the perception of students of course material, monitor their progress in the learning process, and generate timely feedback based on their understanding or misconceptions. The system applies a set of ontologies that structure the learning process, with multiple user friendly Web interfaces. These include the learning ontology (models learning objects, educational resources, and learning goal); context ontology (supports adaptive strategy by detecting student situation), domain ontology (structures concepts and context), learner ontology (models student profile, preferences, and behavior), task ontologies, technological ontology (defines devices and places that surround the

  15. Interaction Forms in Successful Collaborative Learning in Virtual Learning Environments

    Science.gov (United States)

    Vuopala, Essi; Hyvönen, Pirkko; Järvelä, Sanna

    2016-01-01

    Despite the numerous studies on social interaction in collaborative learning, little is known about interaction forms in successful computer-supported collaborative learning situations. The purpose of this study was to explore and understand student interaction in successful collaborative learning during a university course which was mediated by…

  16. Teachers' experiences of teaching in a blended learning environment.

    Science.gov (United States)

    Jokinen, Pirkko; Mikkonen, Irma

    2013-11-01

    This paper considers teachers' experiences of teaching undergraduate nursing students in a blended learning environment. The basic idea of the study programme was to support students to reflect on theory and practice, and provide with access to expert and professional knowledge in real-life problem-solving and decision making. Learning was organised to support learning in and about work: students worked full-time and this provided excellent opportunities for learning both in practice, online and face-to-face sessions. The aim of the study was to describe teachers' experiences of planning and implementing teaching and learning in a blended-learning-based adult nursing programme. The research method was qualitative, and the data were collected by three focus group interviews, each with four to six participants. The data were analysed using qualitative content analysis. The results show that the blended learning environment constructed by the combination of face-to-face learning and learning in practice with technology-mediated learning creates challenges that must be taken into consideration when planning and implementing blended teaching and learning. However, it provides good opportunities to enhance students' learning in and about work. This is because such programmes support student motivation through the presence of "real-life" and their relevance to the students' own places of work. Nevertheless, teachers require knowledge of different pedagogical approaches; they need professional development support in redesigning teaching and learning. Copyright © 2013 Elsevier Ltd. All rights reserved.

  17. Learning Tools for Knowledge Nomads: Using Personal Digital Assistants (PDAs) in Web-based Learning Environments.

    Science.gov (United States)

    Loh, Christian Sebastian

    2001-01-01

    Examines how mobile computers, or personal digital assistants (PDAs), can be used in a Web-based learning environment. Topics include wireless networks on college campuses; online learning; Web-based learning technologies; synchronous and asynchronous communication via the Web; content resources; Web connections; and collaborative learning. (LRW)

  18. An Ontology to Support the Classification of Learning Material in an Organizational Learning Environment: An Evaluation

    Science.gov (United States)

    Valaski, Joselaine; Reinehr, Sheila; Malucelli, Andreia

    2017-01-01

    Purpose: The purpose of this research was to evaluate whether ontology integrated in an organizational learning environment may support the automatic learning material classification in a specific knowledge area. Design/methodology/approach: An ontology for recommending learning material was integrated in the organizational learning environment…

  19. Virtual language learning environments: the standardization of evaluation

    Directory of Open Access Journals (Sweden)

    Francesca Romero Forteza

    2014-03-01

    Full Text Available Nowadays there are many approaches aimed at helping learners acquire knowledge through the Internet. Virtual Learning Environments (VLE facilitate the acquisition and practice of skills, but some of these learning platforms are not evaluated or do not follow a standard that guarantees the quality of the tasks involved. In this paper, we set out a proposal for the standardization of the evaluation of VLEs available on the World Wide Web. Thus, the main objective of this study is to establish an evaluation template with which to test whether a VLE is appropriate for computer-assisted language learning (CALL. In the methodology section, a learning platform is analysed and tested to establish the characteristics learning platforms must have. Having established the design of the template for language learning environments, we concluded that a VLE must be versatile enough for application with different language learning and teaching approaches.

  20. Learning, technology and intellectual property: a survey of the philosophies and preferences of our trainees and peers.

    Science.gov (United States)

    Bedoya, Maria A; Back, Susan J; Scanlon, Mary H; Delgado, Jorge; Darge, Kassa; Reid, Janet R

    2016-12-01

    Increasing workloads threaten the quality of teaching in academic radiology practices. There is a wealth of unfiltered educational resources for radiology on the internet. As a digital native, today's radiology trainee may have differing opinions from teachers about learning and intellectual property. To identify the preferences and philosophies regarding learning, technology and intellectual property toward the future development of an innovative radiology curriculum. An electronic survey with 22 questions was sent to 2,010 members of the Society for Pediatric Radiology and 100 radiology trainees. Three hundred sixty-one of the 2,110 surveys were returned. All questions were completed in 342 surveys. Fifty-three respondents were trainees (residents and fellows) and 289 respondents were radiologists (teachers). Time needed for a single learning activity in both groups is learning environments were point-of-care and outside work hours for both groups. Ideal lecture durations were 31-45 min for trainees and 21-30 min for teachers (P=0.001). Adoption of new technology showed late majority and laggard trends for both groups (P=0.296). Interest in gadgets was greater in trainees (17%) than teachers (2%) (Peducational materials (P=0.028); 27% versus 13%, respectively, disagreed with dissemination of those materials beyond the institution (P=0.013). While millennial trainees are adult learners with a stronger comfort with technology, learning styles of trainees and teachers are more similar than was previously believed. Trainees and teachers hold conflicting philosophies about intellectual property. Results herein speak favorably for revising our teaching portfolio to include practical learning materials of short duration available at point-of-care.

  1. Preference for safflower oil in rats exposed to a cold environment under free-feeding conditions.

    Science.gov (United States)

    Saitoh, Masaji; Ishii, Toshiaki; Takewaki, Tadashi; Nishimura, Masakazu

    2005-07-01

    There are several benefits to a high-fat diet for animals exposed to cold, including improved tolerance to severe cold conditions and increased survival rates in cold environments. It is therefore of interest to examine whether animals exposed to cold will selectively consume lipids. We examined the intake of safflower oil (SO) by rats exposed to cold (4 +/- 2 degrees C) under a feeding condition in which the rats were given free access to SO. Rats exposed to cold consumed more SO than those housed at 25 +/- 2 degrees C. This finding suggests that rats prefer SO in a cold environment. There was no significant difference in the ratio of calories of SO ingested to that of matter (standard laboratory chow plus SO) ingested between rats exposed to cold and those at 25 +/- 2 degrees C. The high SO intake also affected cold tolerance and metabolite kinetics in the rats. Factors that affected the SO intake of rats exposed to cold are also discussed.

  2. Students experiences with collaborative learning in asynchronous computer-supported collaborative learning environments.

    NARCIS (Netherlands)

    Dewiyanti, Silvia; Brand-Gruwel, Saskia; Jochems, Wim; Broers, Nick

    2008-01-01

    Dewiyanti, S., Brand-Gruwel, S., Jochems, W., & Broers, N. (2007). Students experiences with collaborative learning in asynchronous computer-supported collaborative learning environments. Computers in Human Behavior, 23, 496-514.

  3. 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...

  4. Time Spent, Workload, and Student and Faculty Perceptions in a Blended Learning Environment

    Science.gov (United States)

    Schumacher, Christie; Arif, Sally

    2016-01-01

    Objective. To evaluate student perception and time spent on asynchronous online lectures in a blended learning environment (BLE) and to assess faculty workload and perception. Methods. Students (n=427) time spent viewing online lectures was measured in three courses. Students and faculty members completed a survey to assess perceptions of a BLE. Faculty members recorded time spent creating BLEs. Results. Total time spent in the BLE was less than the allocated time for two of the three courses by 3-15%. Students preferred online lectures for their flexibility, students’ ability to apply information learned, and congruence with their learning styles. Faculty members reported the BLE facilitated higher levels of learning during class sessions but noted an increase in workload. Conclusion. A BLE increased faculty workload but was well received by students. Time spent viewing online lectures was less than what was allocated in two of the three courses. PMID:27667839

  5. Parental preferences and allocations of investments in children's learning and health within families.

    Science.gov (United States)

    Abufhele, Alejandra; Behrman, Jere; Bravo, David

    2017-12-01

    Empirical evidence suggests that parental preferences may be important in determining investment allocations among their children. However, there is mixed or no evidence on a number of important related questions. Do parents invest more in better-endowed children, thus reinforcing differentials among their children? Or do they invest more in less-endowed children to compensate for their smaller endowments and reduce inequalities among their children? Does higher maternal education affect the preferences underlying parental decisions in investing among their children? What difference might such intrafamilial investments among children make? And what is the nature of these considerations in the very different context of developing countries? This paper gives new empirical evidence related to these questions. We examine how parental investments affecting child education and health respond to initial endowment differences between twins within families, as represented by birth weight differences, and how parental preference tradeoffs and therefore parental investment strategies vary between families with different maternal education. Using the separable earnings-transfers model (Behrman et al., 1982), we first illustrate that preference differences may make a considerable difference in the ratios of health and learning differentials between siblings - up to 30% in the simulations that we provide. Using a sample of 2000 twins, collected in the 2012 wave of the Early Childhood Longitudinal Survey for Chile, we find that preferences are not at the extreme of pure compensatory investments to offset endowment inequalities among siblings nor at the extreme of pure reinforcement to favor the better-endowed child with no concern about inequality. Instead, they are neutral, so that parental investments do not change the inequality among children due to endowment differentials. We also find that there are not significant preference differences between families with low- and high

  6. Mining Learning Social Networks for Cooperative Learning with Appropriate Learning Partners in a Problem-Based Learning Environment

    Science.gov (United States)

    Chen, Chih-Ming; Chang, Chia-Cheng

    2014-01-01

    Many studies have identified web-based cooperative learning as an increasingly popular educational paradigm with potential to increase learner satisfaction and interactions. However, peer-to-peer interaction often suffers barriers owing to a failure to explore useful social interaction information in web-based cooperative learning environments.…

  7. A New Autonomy-Supportive Way of Teaching That Increases Conceptual Learning: Teaching in Students' Preferred Ways

    Science.gov (United States)

    Jang, Hyungshim; Reeve, Johnmarshall; Halusic, Marc

    2016-01-01

    We tested the educational utility of "teaching in students' preferred ways" as a new autonomy-supportive way of teaching to enhance students' autonomy and conceptual learning. A pilot test first differentiated preferred versus nonpreferred ways of teaching. In the main study, a hired teacher who was blind to the purpose of the study…

  8. Learning Style Preferences of Korean-, Mexican-, Armenian-American, and Anglo Students in Secondary Schools. Research Brief.

    Science.gov (United States)

    Park, Clara C.

    1997-01-01

    Investigated the four basic learning style preferences (visual, auditory, kinesthetic, and tactile) of Korean-, Armenian-, and Mexican-American students attending 10 Los Angeles schools and compared them with those of Anglo students. All four ethnic groups, regardless of sex and academic achievement level, indicate a major preference for…

  9. Effectiveness of flavour nutrient learning and mere exposure as mechanisms to increase toddler's intake and preference for green vegetables

    NARCIS (Netherlands)

    Wild, de V.W.T.; Graaf, de C.; Jager, G.

    2013-01-01

    Children’s consumption of vegetables is still below recommendations. Since preference is the most important predictor of children’s intake and most children dislike vegetables, new strategies are needed to increase their preferences for vegetables. Flavour nutrient learning (FNL) could be an

  10. An Exploration of the Relationship between Students' Preferences for Formative Feedback and Self-Regulated Learning Skills

    Science.gov (United States)

    Çakir, Recep; Korkmaz, Özgen; Bacanak, Ahmet; Arslan, Ömer

    2016-01-01

    The purpose of this study is to explore students' preferences for formative feedback and its relationship with their self-regulated learning skills. The study used a mixed methods approach in which quantitative data collection and analysis was followed by qualitative data collection and analysis. "Preferences toward Formative Feedback"…

  11. Incremental learning of concept drift in nonstationary environments.

    Science.gov (United States)

    Elwell, Ryan; Polikar, Robi

    2011-10-01

    We introduce an ensemble of classifiers-based approach for incremental learning of concept drift, characterized by nonstationary environments (NSEs), where the underlying data distributions change over time. The proposed algorithm, named Learn(++). NSE, learns from consecutive batches of data without making any assumptions on the nature or rate of drift; it can learn from such environments that experience constant or variable rate of drift, addition or deletion of concept classes, as well as cyclical drift. The algorithm learns incrementally, as other members of the Learn(++) family of algorithms, that is, without requiring access to previously seen data. Learn(++). NSE trains one new classifier for each batch of data it receives, and combines these classifiers using a dynamically weighted majority voting. The novelty of the approach is in determining the voting weights, based on each classifier's time-adjusted accuracy on current and past environments. This approach allows the algorithm to recognize, and act accordingly, to the changes in underlying data distributions, as well as to a possible reoccurrence of an earlier distribution. We evaluate the algorithm on several synthetic datasets designed to simulate a variety of nonstationary environments, as well as a real-world weather prediction dataset. Comparisons with several other approaches are also included. Results indicate that Learn(++). NSE can track the changing environments very closely, regardless of the type of concept drift. To allow future use, comparison and benchmarking by interested researchers, we also release our data used in this paper. © 2011 IEEE

  12. Theoretical framework on selected core issues on conditions for productive learning in networked learning environments

    DEFF Research Database (Denmark)

    Dirckinck-Holmfeld, Lone; Svendsen, Brian Møller; Ponti, Marisa

    The report documents and summarises the elements and dimensions that have been identified to describe and analyse the case studies collected in the Kaleidoscope Jointly Executed Integrating Research Project (JEIRP) on Conditions for productive learning in network learning environments.......The report documents and summarises the elements and dimensions that have been identified to describe and analyse the case studies collected in the Kaleidoscope Jointly Executed Integrating Research Project (JEIRP) on Conditions for productive learning in network learning environments....

  13. Investigating the use of an adjustment task to set preferred illuminances in a workplace environment

    DEFF Research Database (Denmark)

    Logadóttir, Ásta; Christoffersen, Jens; Fotios, Steve

    2011-01-01

    An experiment was carried out to examine user preferences for light level using the method of adjustment. The study sought preferred illuminances under lighting from fluorescent lamps of different correlated colour temperature. It was hypothesised that the preferred illuminance would be influenced...

  14. A model for hypermedia learning environments based on electronic books

    Directory of Open Access Journals (Sweden)

    Ignacio Aedo

    1997-12-01

    Full Text Available Current hypermedia learning environments do not have a common development basis. Their designers have often used ad-hoc solutions to solve the learning problems they have encountered. However, hypermedia technology can take advantage of employing a theoretical scheme - a model - which takes into account various kinds of learning activities, and solves some of the problems associated with its use in the learning process. The model can provide designers with the tools for creating a hypermedia learning system, by allowing the elements and functions involved in the definition of a specific application to be formally represented.

  15. Design of a virtual PBL learning environment

    DEFF Research Database (Denmark)

    Kolmos, Anette; Qvist, Palle; Du, Xiangyun

    2006-01-01

    The technological development has created a need for engineers who are oriented towards a global market, have the ability to be involved in interdisciplinary professional and intercultural teams, and who possess lifelong learning competencies. This entails a demand for new educational programmes...... that are more student-centred. In order to support that development, a new master programme (60 European Credit Transfer System) the Master of Problem Based Learning (MPBL) has been established with the aim to improve engineering education. The master programme addresses staff and is an international distance...... programme capable of recruiting participants from all over the world. In terms of contents, it is organized exemplary according to the problem-based and project-based learning method and the participants have to experiment and develop their own teaching and curriculum. On the virtual learning side...

  16. Learning environments matter: Identifying influences on the ...

    African Journals Online (AJOL)

    Hennie

    The students completed the Student Motivation for Science Learning questionnaire. ... (1999), which gave the South African education system the opportunity to benchmark mathematics and .... petition and rewards (Ramnarain, 2013; Vedder-.

  17. Technology-supported environments for learning through cognitive conflict

    Directory of Open Access Journals (Sweden)

    Anne McDougall

    2002-12-01

    Full Text Available This paper examines ways in which the idea of cognitive conflict is used to facilitate learning, looking at the design and use of learning environments for this purpose. Drawing on previous work in science education and educational computing, three approaches to the design of learning environments utilizing cognitive conflict are introduced. These approaches are described as confrontational, guiding and explanatory, based on the level of the designer's concern with learners' pre-existing understanding, the extent of modification to the learner's conceptual structures intended by the designer, and the directness of steering the learner to the desired understanding. The examples used to illustrate the three approaches are taken from science education, specifically software for learning about Newtonian physics; it is contended however that the argument of the paper applies more broadly, to learning environments for many curriculum areas for school levels and in higher education.

  18. A novel biomedical image indexing and retrieval system via deep preference learning.

    Science.gov (United States)

    Pang, Shuchao; Orgun, Mehmet A; Yu, Zhezhou

    2018-05-01

    The traditional biomedical image retrieval methods as well as content-based image retrieval (CBIR) methods originally designed for non-biomedical images either only consider using pixel and low-level features to describe an image or use deep features to describe images but still leave a lot of room for improving both accuracy and efficiency. In this work, we propose a new approach, which exploits deep learning technology to extract the high-level and compact features from biomedical images. The deep feature extraction process leverages multiple hidden layers to capture substantial feature structures of high-resolution images and represent them at different levels of abstraction, leading to an improved performance for indexing and retrieval of biomedical images. We exploit the current popular and multi-layered deep neural networks, namely, stacked denoising autoencoders (SDAE) and convolutional neural networks (CNN) to represent the discriminative features of biomedical images by transferring the feature representations and parameters of pre-trained deep neural networks from another domain. Moreover, in order to index all the images for finding the similarly referenced images, we also introduce preference learning technology to train and learn a kind of a preference model for the query image, which can output the similarity ranking list of images from a biomedical image database. To the best of our knowledge, this paper introduces preference learning technology for the first time into biomedical image retrieval. We evaluate the performance of two powerful algorithms based on our proposed system and compare them with those of popular biomedical image indexing approaches and existing regular image retrieval methods with detailed experiments over several well-known public biomedical image databases. Based on different criteria for the evaluation of retrieval performance, experimental results demonstrate that our proposed algorithms outperform the state

  19. Social learning and human mate preferences: a potential mechanism for generating and maintaining between-population diversity in attraction

    Science.gov (United States)

    Little, Anthony C.; Jones, Benedict C.; DeBruine, Lisa M.; Caldwell, Christine A.

    2011-01-01

    Inspired by studies demonstrating mate-choice copying effects in non-human species, recent studies of attractiveness judgements suggest that social learning also influences human preferences. In the first part of our article, we review evidence for social learning effects on preferences in humans and other animals. In the second part, we present new empirical evidence that social learning not only influences the attractiveness of specific individuals, but can also generalize to judgements of previously unseen individuals possessing similar physical traits. The different conditions represent different populations and, once a preference arises in a population, social learning can lead to the spread of preferences within that population. In the final part of our article, we discuss the theoretical basis for, and possible impact of, biases in social learning whereby individuals may preferentially copy the choices of those with high status or better access to critical information about potential mates. Such biases could mean that the choices of a select few individuals carry the greatest weight, rapidly generating agreement in preferences within a population. Collectively, these issues suggest that social learning mechanisms encourage the spread of preferences for certain traits once they arise within a population and so may explain certain cross-cultural differences. PMID:21199841

  20. Multilingual Writing and Pedagogical Cooperation in Virtual Learning Environments

    DEFF Research Database (Denmark)

    Mousten, Birthe; Vandepitte, Sonia; Arnó Macà, Elisabet

    Multilingual Writing and Pedagogical Cooperation in Virtual Learning Environments is a critical scholarly resource that examines experiences with virtual networks and their advantages for universities and students in the domains of writing, translation, and usability testing. Featuring coverage o...

  1. Evaluation of the Learning and Teaching Environment of the Faculty ...

    African Journals Online (AJOL)

    2017-09-14

    Sep 14, 2017 ... perceptions of atmosphere, and social self-perceptions. Results: The ... to Bloom, the learning environment is a network of physical, social, as well as ..... Medical Licensure Examination in Japan. BMC Med Educ. 2010;10:35.

  2. Creating sustainable learning environments in schools by means of ...

    African Journals Online (AJOL)

    Creating sustainable learning environments in schools by means of strategic ... be addressed by means of proper strategic planning of the education system as such ... The authors who are academics at a university and who are specializing in ...

  3. Learning in Non-Stationary Environments Methods and Applications

    CERN Document Server

    Lughofer, Edwin

    2012-01-01

    Recent decades have seen rapid advances in automatization processes, supported by modern machines and computers. The result is significant increases in system complexity and state changes, information sources, the need for faster data handling and the integration of environmental influences. Intelligent systems, equipped with a taxonomy of data-driven system identification and machine learning algorithms, can handle these problems partially. Conventional learning algorithms in a batch off-line setting fail whenever dynamic changes of the process appear due to non-stationary environments and external influences.   Learning in Non-Stationary Environments: Methods and Applications offers a wide-ranging, comprehensive review of recent developments and important methodologies in the field. The coverage focuses on dynamic learning in unsupervised problems, dynamic learning in supervised classification and dynamic learning in supervised regression problems. A later section is dedicated to applications in which dyna...

  4. Scrum-Based Learning Environment: Fostering Self-Regulated Learning

    Science.gov (United States)

    Linden, Tanya

    2018-01-01

    Academics teaching software development courses are experimenting with teaching methods aiming to improve students' learning experience and learning outcomes. Since Agile software development is gaining popularity in industry due to positive effects on managing projects, academics implement similar Agile approaches in student-centered learning…

  5. Student Activity and Learning Outcomes in a Virtual Learning Environment

    Science.gov (United States)

    Romanov, Kalle; Nevgi, Anne

    2008-01-01

    The aim of the study was to explore the relationship between degree of participation and learning outcomes in an e-learning course on medical informatics. Overall activity in using course materials and degree of participation in the discussion forums of an online course were studied among 39 medical students. Students were able to utilise the…

  6. Learning to Cook: Production Learning Environment in Kitchens

    Science.gov (United States)

    James, Susan

    2006-01-01

    Learning in workplaces is neither ad hoc nor informal. Such labels are a misnomer and do not do justice to the highly-structured nature and complexity of many workplaces where learning takes place. This article discusses the organisational and structural framework developed from a three-year doctoral study into how apprentice chefs construct their…

  7. How Nurses Experience Their Work as a Learning Environment

    OpenAIRE

    Skår, Randi

    2010-01-01

    This article explores and illuminates the meaning of nurses’ experiences with their work as a learning environment. A qualitative hermeneutic approach guided the research process and the analysis and interpretation of the transcribed interview-texts of eleven graduate nurses. Three core themes emerged from these informants’ descriptions of their work as a learning environment: ‘participation in the work community’, ‘to engage in interpersonal relations’ and ‘accessing important...

  8. Evaluation of hybrid and distance education learning environments in Spain

    OpenAIRE

    Ferrer-Cascales, Rosario; Walker, Scott L.; Reig-Ferrer, Abilio; Fernández-Pascual, M. Dolores; Albaladejo-Blázquez, Natalia

    2011-01-01

    This article describes the adaptation and validation of the Distance Education Learning Environments Survey (DELES) for use in investigating the qualities found in distance and hybrid education psycho-social learning environments in Spain. As Europe moves toward post-secondary student mobility, equanimity in access to higher education, and more standardised degree programs across the European Higher Education Area (EHEA) the need for a high quality method for continually assessing the excelle...

  9. Learning Design for a Successful Blended E-learning Environment: Cultural Dimensions

    OpenAIRE

    Al-Huwail, N.; Gulf Univ. for Science & Technology; Al-Sharhan, S.; Gulf Univ. for Science & Technology; Al-Hunaiyyan, A.; Gulf Univ. for Science & Technology

    2007-01-01

    Blended e-learning is becoming an educational issue especially with the new development of e-learning technology and globalization. This paper presents a new framework for delivery environment in blended e-learning. In addition, new concepts related to the learning strategies and multimedia design in blended e-learning are introduced. The work focuses on the critical cultural factors that affect a blended elearning system. Since it is common that good systems may fail due to cultural issues, ...

  10. Open Integrated Personal Learning Environment: Towards a New Conception of the ICT-Based Learning Processes

    Science.gov (United States)

    Conde, Miguel Ángel; García-Peñalvo, Francisco José; Casany, Marià José; Alier Forment, Marc

    Learning processes are changing related to technological and sociological evolution, taking this in to account, a new learning strategy must be considered. Specifically what is needed is to give an effective step towards the eLearning 2.0 environments consolidation. This must imply the fusion of the advantages of the traditional LMS (Learning Management System) - more formative program control and planning oriented - with the social learning and the flexibility of the web 2.0 educative applications.

  11. THE PROPOSED MODEL OF COLLABORATIVE VIRTUAL LEARNING ENVIRONMENT FOR INTRODUCTORY PROGRAMMING COURSE

    Directory of Open Access Journals (Sweden)

    Mahfudzah OTHMAN

    2012-01-01

    Full Text Available This paper discusses the proposed model of the collaborative virtual learning system for the introductory computer programming course which uses one of the collaborative learning techniques known as the “Think-Pair-Share”. The main objective of this study is to design a model for an online learning system that facilitates the collaborative learning activities in a virtual environment such as online communications and pair or small group discussions. In order to model the virtual learning environment, the RUP methodology has been used where it involves the data collection phase and the analysis and design phase. Fifty respondents have been randomly selected to participate in the data collection phase to investigate the students’ interest and learning styles as well as their learning preferences. The results have shown the needs for the development of online small group discussions that can be used as an alternative learning style for programming courses. The proposed design of the virtual learning system named as the Online Collaborative Learning System or OCLS is being depicted using the object-oriented models which are the use-case model and class diagram in order to show the concise processes of virtual “Think-Pair-Share” collaborative activities. The “Think-Pair-Share” collaborative learning technique that is being used in this model has been chosen because of its simplicity and relatively low-risk. This paper also presents the proposed model of the system’s architecture that will become the guidelines for the physical development of OCLS using the web-based applications.

  12. Nigerian Physiotherapy Clinical Students' Perception of Their Learning Environment Measured by the Dundee Ready Education Environment Measure Inventory

    Science.gov (United States)

    Odole, Adesola C.; Oyewole, Olufemi O.; Ogunmola, Oluwasolape T.

    2014-01-01

    The identification of the learning environment and the understanding of how students learn will help teacher to facilitate learning and plan a curriculum to achieve the learning outcomes. The purpose of this study was to investigate undergraduate physiotherapy clinical students' perception of University of Ibadan's learning environment. Using the…

  13. FUNDAMENTALIZATION OF ICT LEARNING IN MODERN HIGH TECH ENVIRONMENT

    Directory of Open Access Journals (Sweden)

    M. P. Shyshkina

    2013-03-01

    Full Text Available The article outlines the features of the process of fundamentalization of ICT learning, educational background to ensure it in high school. The concept of fundamental knowledge and its role in training of a specialist is described. The problems of access to qualitative education, particularly to electronic learning resources in modern high-tech environment are revealed. The role of computer mathematics as a tool of ICT learning fundamentalization is emphasized.

  14. Implementation of Collaborative Learning in Higher Education Environment

    OpenAIRE

    Soetam Rizky Wicaksono

    2013-01-01

    The need of improvement in learning process, especially in higher education environment, has already begun a dilemma for many lecturers. Many experts has already agreed that one of the success factor in learning process improvement is creating collaboration among students. This pre-eliminary action research tried to implement collaborative learning from small groups using simple task and escalating into large group with more complicated collaborative framework. Although there is no quantific...

  15. The Design of Immersive English Learning Environment Using Augmented Reality

    Science.gov (United States)

    Li, Kuo-Chen; Chen, Cheng-Ting; Cheng, Shein-Yung; Tsai, Chung-Wei

    2016-01-01

    The study uses augmented reality (AR) technology to integrate virtual objects into the real learning environment for language learning. The English AR classroom is constructed using the system prototyping method and evaluated by semi-structured in-depth interviews. According to the flow theory by Csikszenmihalyi in 1975 along with the immersive…

  16. Students' Opinions on Facebook Supported Blended Learning Environment

    Science.gov (United States)

    Erdem, Mukaddes; Kibar, Pinar Nuhoglu

    2014-01-01

    The first purpose of this study was to determine students' opinions on blended learning and its implementation. The other purpose was to explore the students' opinions on Facebook integration into blended learning environment. The participants of this study were 40 undergraduate students in their fourth semester of the program.…

  17. Stimulating Collaboration and Discussion in Online Learning Environments.

    Science.gov (United States)

    Clark, Jim

    2001-01-01

    Discussion of the advantages of online learning environments (OLEs) for distance education focuses on the importance of collaboration and discussion to make the students feel more central to the learning process. Presents methods to stimulate collaboration and discussion in OLEs. (Author/LRW)

  18. Integrating Dynamic Mathematics Software into Cooperative Learning Environments in Mathematics

    Science.gov (United States)

    Zengin, Yilmaz; Tatar, Enver

    2017-01-01

    The aim of this study was to evaluate the implementation of the cooperative learning model supported with dynamic mathematics software (DMS), that is a reflection of constructivist learning theory in the classroom environment, in the teaching of mathematics. For this purpose, a workshop was conducted with the volunteer teachers on the…

  19. Managing Learning Experiences in an AACSB Environment: Beyond the Classroom

    Science.gov (United States)

    Spruell, James; Hawkins, Al; Vicknair, David

    2009-01-01

    The study explores the development and management of a rich learning environment that extends the traditional classroom to include significant co-curricular programs. Learning enrichment is guided by the individual mission of the business school, accreditation agency (AACSB), and in our case, the Jesuit mission. That central framework provides a…

  20. Hybrid E-Textbooks as Comprehensive Interactive Learning Environments

    Science.gov (United States)

    Ghaem Sigarchian, Hajar; Logghe, Sara; Verborgh, Ruben; de Neve, Wesley; Salliau, Frank; Mannens, Erik; Van de Walle, Rik; Schuurman, Dimitri

    2018-01-01

    An e-TextBook can serve as an interactive learning environment (ILE), facilitating more effective teaching and learning processes. In this paper, we propose the novel concept of an EPUB 3-based Hybrid e-TextBook, which allows for interaction between the digital and the physical world. In that regard, we first investigated the gap between the…

  1. Constant Change: The Ever-Evolving Personal Learning Environment

    Science.gov (United States)

    Torres Kompen, Ricardo; Monguet, Josep Ma.; Brigos, Miguel

    2015-01-01

    There are several definitions for the term "personal learning environment" (PLE); in this article, PLE refers to a group of web technologies, with various degrees of integration and interaction, that helps users and learners manage the flow of information that relates to the learning process, the creation of knowledge, and the…

  2. Designing for Learning: Online Social Networks as a Classroom Environment

    Science.gov (United States)

    Casey, Gail; Evans, Terry

    2011-01-01

    This paper deploys notions of emergence, connections, and designs for learning to conceptualize high school students' interactions when using online social media as a learning environment. It makes links to chaos and complexity theories and to fractal patterns as it reports on a part of the first author's action research study, conducted while she…

  3. Interaction in a Blended Environment for English Language Learning

    Science.gov (United States)

    Romero Archila, Yuranny Marcela

    2014-01-01

    The purpose of this research was to identify the types of interaction that emerged not only in a Virtual Learning Environment (VLE) but also in face-to-face settings. The study also assessed the impact of the different kinds of interactions in terms of language learning. This is a qualitative case study that took place in a private Colombian…

  4. Awareness for Contextualized Digital Contents in Ubiquitous Learning Environments

    NARCIS (Netherlands)

    Börner, Dirk; Specht, Marcus

    2010-01-01

    Börner, D., & Specht, M. (2009). Awareness for Contextualized Digital Contents in Ubiquitous Learning Environments. Proceedings of the Doctoral Consortium of the Fourth European Conference on Technology Enhanced Learning (EC-TEL 2009). September, 29-October, 2, 2009, Nice, France. [unpublished

  5. Designing a Virtual-Reality-Based, Gamelike Math Learning Environment

    Science.gov (United States)

    Xu, Xinhao; Ke, Fengfeng

    2016-01-01

    This exploratory study examined the design issues related to a virtual-reality-based, gamelike learning environment (VRGLE) developed via OpenSimulator, an open-source virtual reality server. The researchers collected qualitative data to examine the VRGLE's usability, playability, and content integration for math learning. They found it important…

  6. Creative Learning Environments in Education--A Systematic Literature Review

    Science.gov (United States)

    Davies, Dan; Jindal-Snape, Divya; Collier, Chris; Digby, Rebecca; Hay, Penny; Howe, Alan

    2013-01-01

    This paper reports on a systematic review of 210 pieces of educational research, policy and professional literature relating to creative environments for learning in schools, commissioned by Learning and Teaching Scotland (LTS). Despite the volume of academic literature in this field, the team of six reviewers found comparatively few empirical…

  7. Procrastination, Participation, and Performance in Online Learning Environments

    Science.gov (United States)

    Michinov, Nicolas; Brunot, Sophie; Le Bohec, Olivier; Juhel, Jacques; Delaval, Marine

    2011-01-01

    The present study focuses on a specific learner characteristic in the management of time--procrastination--, and its role in an online learning environment. More specifically, it was expected that procrastination would influence the successfulness of online learning and that this could be explained by the level of participation of learners in…

  8. 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.

  9. Creative and Playful Learning: Learning through Game Co-Creation and Games in a Playful Learning Environment

    Science.gov (United States)

    Kangas, Marjaana

    2010-01-01

    This paper reports on a pilot study in which children aged 7-12 (N = 68) had an opportunity to study in a novel formal and informal learning setting. The learning activities were extended from the classroom to the playful learning environment (PLE), an innovative playground enriched by technological tools. Curriculum-based learning was intertwined…

  10. THE USE OF NUMBERED HEADS TOGETHER (NHT LEARNING MODEL WITH SCIENCE, ENVIRONMENT, TECHNOLOGY, SOCIETY (SETS APPROACH TO IMPROVE STUDENT LEARNING MOTIVATION OF SENIOR HIGH SCHOOL

    Directory of Open Access Journals (Sweden)

    B. Sutipnyo

    2018-01-01

    Full Text Available This research was aimed to determine the increasing of students' motivation that has been applied by Numbered Heads Together (NHT learning model with Science, Environment, Technology, Society (SETS approach. The design of this study was quasi experiment with One Group Pretest-Posttest Design. The data of students’ learning motivation obtained through questionnaire administered before and after NHT learning model with SETS approach. In this research, the indicators of learning-motivation were facing tasks diligently, showing interest in variety of problems, prefering to work independently, keeping students’ opinions, and feeling happy to find and solve problems. Increasing of the students’ learning motivation was analyzed by using a gain test. The results showed that applying NHT learning model with SETS approach could increase the students’ learning motivation in medium categories.

  11. Biking practices and preferences in a lower income, primarily minority neighborhood: Learning what residents want.

    Science.gov (United States)

    Lusk, Anne C; Anastasio, Albert; Shaffer, Nicholas; Wu, Juan; Li, Yanping

    2017-09-01

    This paper examines if, in a lower-income minority neighborhood, bicycling practices and bicycle-environment preferences of Blacks and Hispanics were different from Whites. During the summer of 2014, surveys were mailed to 1537 households near a proposed cycle track on Malcolm X Boulevard in Roxbury, MA. On the Boulevard, intercept surveys were distributed to cyclists and observations noted about passing cyclist's characteristics. Data were analyzed from 252 returned-mailed surveys, 120 intercept surveys, and 709 bicyclists. White (100%), Hispanic (79%), and Black (76%) bicyclists shown pictures of 6 bicycle facility types in intercept surveys perceived the cycle track as safest. More White mailed-survey respondents thought bikes would not be stolen which may explain why more Hispanics (52%) and Blacks (47%) preferred to park their bikes inside their home compared with Whites (28%), with H/W B/W differences statistically significant ( p  bike compared with Whites (75%). Minority populations are biking on roads but prefer cycle tracks. They also prefer to park bikes inside their homes and bicycle with family and friends. Wide cycle tracks (bicycling with family/friends) and home bike parking should be targeted as capital investments in lower-income minority neighborhoods.

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

    Directory of Open Access Journals (Sweden)

    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.

  13. Cultural Communication Learning Environment in Science Classes

    Science.gov (United States)

    Dhindsa, Harkirat S.; Abdul-Latif, Salwana

    2012-01-01

    Classroom communication often involves interactions between students and teachers from dissimilar cultures, which influence classroom learning because of their dissimilar communication styles influenced by their cultures. It is therefore important to study the influence of culture on classroom communication that influences the classroom verbal and…

  14. Virtual Reality: A New Learning Environment.

    Science.gov (United States)

    Ferrington, Gary; Loge, Kenneth

    1992-01-01

    Discusses virtual reality (VR) technology and its possible uses in military training, medical education, industrial design and development, the media industry, and education. Three primary applications of VR in the learning process--visualization, simulation, and construction of virtual worlds--are described, and pedagogical and moral issues are…

  15. Learning environments matter: Identifying influences on the ...

    African Journals Online (AJOL)

    In the light of the poor academic achievement in science by secondary school students in South Africa, students' motivation for science learning should be enhanced. It is argued that this can only be achieved with insight into which motivational factors to target, with due consideration of the diversity in schools. The study ...

  16. learning environments and the learning proces of interaction

    DEFF Research Database (Denmark)

    Jørgensen, Christian Helms

    2004-01-01

    In recent years, learning in working life has been launched as an important approach in relation to the urgent need for competence-development in our modern knowledge society. But what does it mean in practice? What can and what cannot be learned on the job; what is learned better at courses......, and their results, findings and recommendations are summed up in this book. The book ranges from the background for this development, over general mapping of the area from social, learning and political angles, the development of an overview model and analysis of a wide variety of practical approaches...... to the concluding perspectives on a practical, a theoretical and a political level. On the practical level, the door is opened for close interaction between workplaces and educational organisers, and politically for broad cooperation between the state, the partners in the labour market, and educational institutions...

  17. Case-based learning in an electronic learning environment

    OpenAIRE

    John Graham

    2014-01-01

    The benefits of e-learning have been widely established. These benefits include reduced costs, time savings, flexibility, accessible learning, and convenience. Due to such benefits, it has attracted business, industry, the professions, and of course educational institutes to begin using this platform either to supplement traditional teaching strategies or offer it as a complete substitute for them. The benefits of teaching with case studies are also well-recognized. Working with real world si...

  18. Gifted Achievers and Gifted Underachievers: The Impact of Learning Style Preferences in the Classroom.

    Science.gov (United States)

    Rayneri, Letty J.; Gerber, Brian L.; Wiley, Larry P.

    2003-01-01

    A study involving 62 gifted students (grades 6-8) found many low-achievers (n=16) showed a strong need for tactile and kinesthetic modalities; intake of food, drinks, or both; sound in the learning environment; informal seating design; and dim lighting. The low achievers did not perceive themselves to be persistent. (Contains references.)…

  19. Influence of Learning Styles on Graphical User Interface Preferences for e-Learners

    Science.gov (United States)

    Dedic, Velimir; Markovic, Suzana

    2012-01-01

    Implementing Web-based educational environment requires not only developing appropriate architectures, but also incorporating human factors considerations. User interface becomes the major channel to convey information in e-learning context: a well-designed and friendly enough interface is thus the key element in helping users to get the best…

  20. Evaluation of the learning and teaching environment of the Faculty ...

    African Journals Online (AJOL)

    Purpose: The study aimed at evaluating the learning and teaching environment of undergraduate students of the Faculty of Medical Sciences, University of Nigeria. Methods: The study was a descriptive, cross‑sectional survey. The Dundee Ready Education Environment Measure (DREEM) questionnaire was ...

  1. Impact of the learning environment on career intentions of paediatric ...

    African Journals Online (AJOL)

    training on career intentions, specifically in terms of paediatrics, in a ... SA paediatric interns work in an environment with a high ... already challenging learning environment (LE) for interns. ... doctors during internship may influence career trajectories in a direction that is discordant with .... Cronbach's alpha for the teaching,.

  2. The Effects of Game Strategy and Preference-Matching on Flow Experience and Programming Performance in Game-Based Learning

    Science.gov (United States)

    Wang, Li-Chun; Chen, Ming-Puu

    2010-01-01

    Learning to program is difficult for novices, even for those undergraduates who have majored in computer science. The study described in this paper has investigated the effects of game strategy and preference-matching on novice learners' flow experience and performance in learning to program using an experiential gaming activity. One hundred and…

  3. 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.

  4. Parents' learning needs and preferences when sharing management of their child's long-term/chronic condition: A systematic review.

    Science.gov (United States)

    Nightingale, Ruth; Friedl, Simone; Swallow, Veronica

    2015-11-01

    This review aimed to (1) identify parents' learning needs and preferences when sharing the management of their child's long-term/chronic (long-term) condition and (2) inform healthcare professional support provided to parents across the trajectory. We conducted a literature search in seven health databases from 1990 to 2013. The quality of included studies was assessed using a critical appraisal tool developed for reviewing the strengths and weaknesses of qualitative, quantitative and mixed methods studies. Twenty-three studies met our criteria and were included in the review. Three themes emerged from synthesis of the included studies: (1) parents' learning needs and preferences (2) facilitators to parents' learning, and (3) barriers to parents' learning. Asking parents directly about their learning needs and preferences may be the most reliable way for healthcare professionals to ascertain how to support and promote individual parents' learning when sharing management of their child's long-term condition. With the current emphasis on parent-healthcare professional shared management of childhood long-term conditions, it is recommended that professionals base their assessment of parents' learning needs and preferences on identified barriers and facilitators to parental learning. This should optimise delivery of home-based care, thereby contributing to improved clinical outcomes for the child. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  5. Medical students preference of problem-based learning or traditional lectures in King Abdulaziz University, Jeddah, Saudi Arabia.

    Science.gov (United States)

    Ibrahim, Nahla Khamis; Banjar, Shorooq; Al-Ghamdi, Amal; Al-Darmasi, Moroj; Khoja, Abeer; Turkistani, Jamela; Arif, Rwan; Al-Sebyani, Awatif; Musawa, Al-Anoud; Basfar, Wijdan

    2014-01-01

    Problem-based learning (PBL) is the most important educational innovations in the past 4 decades. The objective of the study was to compare between the preference of medical students for PBL and the preference for traditional lectures regarding learning outcomes (e.g., knowledge, attitude, and skills) gained from both methods. A cross-sectional study was conducted among medical students who studied the hybrid curriculum (PBL and traditional lectures) in King Abdulaziz University, Jeddah, in 2011. Data was collected through a pre-constructed, validated, confidentially anonymous, and self-administered questionnaire. Students' perceptions toward PBL and traditional lectures were assessed through their response to 20 statements inquired about both methods of learning using a five-point Likert scale. Descriptive and analytic statistics were performed using SPSS, version 21 (SPSS Inc, Chicago, Ill., USA). Learners preferred PBL more to traditional lectures for better linking the knowledge of basic and clinical sciences (t test=10.15, P .05) was observed regarding the amount of basic knowledge recalled from both methods. Students preferred PBL more to lectures for better learning attitudes, skills, future outcomes, and learning satisfaction (P learn better than lecturing (P traditional lectures for improving most of learning outcome domains, especially, learning attitudes and skills. Introducing hybrid-PBL curriculum in all Saudi universities is highly recommended.

  6. Teaching strategies in web technologies for virtual learning environments

    Directory of Open Access Journals (Sweden)

    Ilber Dario Saza-Garzón

    2016-12-01

    Full Text Available The virtual learning environments (AVAs have been a subject of discussion and questions mainly on finding the best teaching practices, which tools you can use them and how to achieve optimum utilization have better results in virtual education, for Therefore in this paper some elements about the characteristics, history, teaching, studies have virtual environments and web applications as tools to support teaching and learning, are set for a virtual tutor note the when planning, designing, creating and implementing online courses. Thus the reader will find concepts, explanations and different evolutionary processes that wins ICT and how are you have been involved in the educational context, spotting potential applications from mediation of teaching, plus some suggestions of how to carry out exposed use thereof in virtual learning environments to strengthen the different processes of teaching and learning.

  7. Non-formal Learning through Ludic Engagement within Interactive Environments

    DEFF Research Database (Denmark)

    Petersson, Eva

    Adaptive responsive environments that encourage interaction for children with severe disabilities offer a distinct potential for play and learning in rehabilitation. Physical training and therapy for these children is often enduring, tedious, and boring through repetition – and this is often...... the case for both the child and the facilitator/therapist. Despite this, little is yet known about how the utilization of empowering technology influences the users’ communication and learning. The aim of this thesis is twofold: to contribute to the understanding of the role of action and interaction...... in the learning involved when people with different abilities are using interactive environments, and to make a contribution to the research field by concluding at tentative generalizations on design for non-formal learning in interactive environments.      The thesis consists of seven studies which analyze...

  8. Learning How to Design a Technology Supported Inquiry-Based Learning Environment

    Science.gov (United States)

    Hakverdi-Can, Meral; Sonmez, Duygu

    2012-01-01

    This paper describes a study focusing on pre-service teachers' experience of learning how to design a technology supported inquiry-based learning environment using the Internet. As part of their elective course, pre-service science teachers were asked to develop a WebQuest environment targeting middle school students. A WebQuest is an…

  9. The Effects of Different Learning Environments on Students' Motivation for Learning and Their Achievement

    Science.gov (United States)

    Baeten, Marlies; Dochy, Filip; Struyven, Katrien

    2013-01-01

    Background: Research in higher education on the effects of student-centred versus lecture-based learning environments generally does not take into account the psychological need support provided in these learning environments. From a self-determination theory perspective, need support is important to study because it has been associated with…

  10. Personalised Peer-Supported Learning: The Peer-to-Peer Learning Environment (P2PLE)

    Science.gov (United States)

    Corneli, Joseph; Mikroyannidis, Alexander

    2011-01-01

    The Peer-to-Peer Learning Environment (P2PLE) is a proposed approach to helping learners co-construct their learning environment using recommendations about people, content, and tools. The work draws on current research on PLEs, and participant observation at the Peer-to-Peer University (P2PU). We are particularly interested in ways of eliciting…

  11. Social learning as a way to overcome choice-induced preferences? Insights from humans and rhesus macaques.

    Directory of Open Access Journals (Sweden)

    ELISABETTA eMONFARDINI

    2012-09-01

    Full Text Available Much theoretical attention is currently devoted to social learning. Yet, empirical studies formally comparing its effectiveness relative to individual learning are rare. Here, we focus on free choice, which is at the heart of individual reward-based learning, but absent in social learning. Choosing among two equally valued options is known to create a preference for the selected option in both humans and monkeys. We thus surmised that social learning should be more helpful when choice-induced preferences retard individual learning than when they optimize it. To test this prediction, the same task requiring to find which among two items concealed a reward was applied to rhesus macaques and humans. The initial trial was individual or social, rewarded or unrewarded. Learning was assessed on the second trial. Choice-induced preference strongly affected individual learning. Monkeys and humans performed much more poorly after an initial negative choice than after an initial positive choice. Comparison with social learning verified our prediction. For negative outcome, social learning surpassed or at least equaled individual learning in all subjects. For positive outcome, the predicted superiority of individual learning did occur in a majority of subjects (5/6 monkeys and 6/12 humans. A minority kept learning better socially though, perhaps due to a more dominant/aggressive attitude toward peers. Poor learning from errors due to over-valuation of personal choices is among the decision-making biases shared by humans and animals. The present study suggests that choice-immune social learning may help curbing this potentially harmful tendency. Learning from successes is an easier path. The present data suggest that whether one tends to walk it alone or with a peer's help might depend on the social dynamics within the actor/observer dyad.

  12. A Semi-Open Learning Environment for Mobile Robotics

    Directory of Open Access Journals (Sweden)

    Enrique Sucar

    2007-05-01

    Full Text Available We have developed a semi-open learning environment for mobile robotics, to learn through free exploration, but with specific performance criteria that guides the learning process. The environment includes virtual and remote robotics laboratories, and an intelligent virtual assistant the guides the students using the labs. A series of experiments in the virtual and remote labs are designed to gradually learn the basics of mobile robotics. Each experiment considers exploration and performance aspects, which are evaluated by the virtual assistant, giving feedback to the user. The virtual laboratory has been incorporated to a course in mobile robotics and used by a group of students. A preliminary evaluation shows that the intelligent tutor combined with the virtual laboratory can improve the learning process.

  13. Personal Learning Environments (PLEs) in a Distance Learning Course on Mathematics Applied to Business

    Science.gov (United States)

    Bidarra, Jose; Araujo, Joao

    2013-01-01

    This paper argues that the dominant form of distance learning that is common in most e-learning systems rests on a set of learning devices and environments that may be outdated from the student's perspective, namely because it is not supportive of learner empowerment and does not facilitate the efforts of self-directed learners. For this study we…

  14. Students’ goal orientations and learning strategies in a powerful learning environment : a case study

    NARCIS (Netherlands)

    Koopman, M.; Bakx, A.W.E.A.; Beijaard, D.

    2014-01-01

    In Dutch secondary education, experiments with powerful social constructivist learning environments are conducted that aim to appeal to students’ intrinsic goal orientations, use of deep cognitive learning strategies, and self-direction of meta-cognitive learning strategies. The aim of this study is

  15. Study Circles in Online Learning Environment in the Spirit of Learning-Centered Approach

    Directory of Open Access Journals (Sweden)

    Simándi Szilvia

    2017-08-01

    Full Text Available Introduction: In the era of information society and knowledge economy, learning in non-formal environments gets a highlighted role: it can supplement, replace or raise the knowledge and skills gained in the school system to a higher level (Forray & Juhász, 2008, as the so-called “valid” knowledge significantly changes due to the acceleration of development. With the appearance of information technology means and their booming development, the possibilities of gaining information have widened and, according to the forecasts, the role of learning communities will grow. Purpose: Our starting point is that today, with the involvement of community sites (e.g. Google+, Facebook etc. there is a new possibility for inspiring learning communities: by utilizing the power of community and the possibilities of network-based learning (Ollé & Lévai, 2013. Methods: We intend to make a synthesis based on former research and literature focusing on the learning-centered approach, online learning environment, learning communities and study circles (Noesgaard & Ørngreen, 2015; Biggs & Tang, 2007; Kindström, 2010 Conclusions: The online learning environment can be well utilized for community learning. In the online learning environment, the process of learning is built on activity-oriented work for which active participation, and an intensive, initiative communication are necessary and cooperative and collaborative learning get an important role.

  16. A Working Model for Intercultural Learning and Engagement in Collaborative Online Language Learning Environments

    Science.gov (United States)

    Lawrence, Geoff

    2013-01-01

    Given the emerging focus on the intercultural dimension in language teaching and learning, language educators have been exploring the use of information and communications technology ICT-mediated language learning environments to link learners in intercultural language learning communities around the globe. Despite the potential promise of…

  17. Understanding and Predicting Student Self-Regulated Learning Strategies in Game-Based Learning Environments

    Science.gov (United States)

    Sabourin, Jennifer L.; Shores, Lucy R.; Mott, Bradford W.; Lester, James C.

    2013-01-01

    Self-regulated learning behaviors such as goal setting and monitoring have been found to be crucial to students' success in computer-based learning environments. Consequently, understanding students' self-regulated learning behavior has been the subject of increasing attention. Unfortunately, monitoring these behaviors in real-time has…

  18. promoting self directed learning in simulation based discovery learning environments through intelligent support.

    NARCIS (Netherlands)

    Veermans, K.H.; de Jong, Anthonius J.M.; van Joolingen, Wouter

    2000-01-01

    Providing learners with computer-generated feedback on their learning process in simulationbased discovery environments cannot be based on a detailed model of the learning process due to the “open” character of discovery learning. This paper describes a method for generating adaptive feedback for

  19. Using Machine Learning in Adversarial Environments.

    Energy Technology Data Exchange (ETDEWEB)

    Davis, Warren Leon [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2016-02-01

    Intrusion/anomaly detection systems are among the first lines of cyber defense. Commonly, they either use signatures or machine learning (ML) to identify threats, but fail to account for sophisticated attackers trying to circumvent them. We propose to embed machine learning within a game theoretic framework that performs adversarial modeling, develops methods for optimizing operational response based on ML, and integrates the resulting optimization codebase into the existing ML infrastructure developed by the Hybrid LDRD. Our approach addresses three key shortcomings of ML in adversarial settings: 1) resulting classifiers are typically deterministic and, therefore, easy to reverse engineer; 2) ML approaches only address the prediction problem, but do not prescribe how one should operationalize predictions, nor account for operational costs and constraints; and 3) ML approaches do not model attackers’ response and can be circumvented by sophisticated adversaries. The principal novelty of our approach is to construct an optimization framework that blends ML, operational considerations, and a model predicting attackers reaction, with the goal of computing optimal moving target defense. One important challenge is to construct a realistic model of an adversary that is tractable, yet realistic. We aim to advance the science of attacker modeling by considering game-theoretic methods, and by engaging experimental subjects with red teaming experience in trying to actively circumvent an intrusion detection system, and learning a predictive model of such circumvention activities. In addition, we will generate metrics to test that a particular model of an adversary is consistent with available data.

  20. A SIMULTANEOUS MOBILE E-LEARNING ENVIRONMENT AND APPLICATION

    Directory of Open Access Journals (Sweden)

    Hasan KARAL

    2010-04-01

    Full Text Available The purpose of the present study was to design a mobile learning environment that enables the use of a teleconference application used in simultaneous e-learning with mobile devices and to evaluate this mobile learning environment based on students’ views. With the mobile learning environment developed in the study, the students are able to follow a teleconference application realized by using appropriate mobile devices. The study was carried out with 8 post-graduate students enrolled in Karadeniz Technical University (KTU, Department of Computer Education and Instructional Technologies (CEIT, Graduate School of Natural and Applied Science. The students utilized this teleconference application using mobile devices supporting internet access and Adobe Flash technology. Of the 8 students, 4 accessed the system using EDGE technology and 4 used wireless internet technology. At the end of the application, the audio and display were delayed by 4-5 seconds with EDGE technology, and were delayed by 7-8 seconds with wireless internet technology. Based on the students’ views, it was concluded that the environment had some deficiencies in terms of quality, especially in terms of the screen resolution. Despite this, the students reported that this environment could provide more flexibility in terms of space and time when compared to other simultaneous distance education applications. Although the environment enables interaction, in particular, the problem of resolution caused by screen size is a disadvantage for the system. When this mobile learning application is compared to conventional education environments, it was found that mobile learning does have a role in helping the students overcome the problems of participating in learning activities caused by time and space constraints.

  1. Learning style preferences and their influence on students' problem solving in kinematics observed by eye-tracking method

    Science.gov (United States)

    Kekule, Martina

    2017-01-01

    The article presents eye-tracking method and its using for observing students when they solve problems from kinematics. Particularly, multiple-choice items in TUG-K test by Robert Beichner. Moreover, student's preference for visual way of learning as a possible influential aspect is proofed and discussed. Learning Style Inventory by Dunn, Dunn&Price was administered to students in order to find out their preferences. More than 20 high school and college students about 20 years old took part in the research. Preferred visual way of learning in contrast to the other ways of learning (audio, tactile, kinesthetic) shows very slight correlation with the total score of the test, none correlation with the average fixation duration and slight correlation with average fixation count on a task and average total visit duration on a task.

  2. Innovating Training through Immersive Environments: Generation Y, Exploratory Learning, and Serious Games

    Science.gov (United States)

    Gendron, Gerald

    2012-01-01

    Over the next decade, those entering Service and Joint Staff positions within the military will come from a different generation than the current leadership. They will come from Generation Y and have differing preferences for learning. Immersive learning environments like serious games and virtual world initiatives can complement traditional training methods to provide a better overall training program for staffs. Generation Y members desire learning methods which are relevant and interactive, regardless of whether they are delivered over the internet or in person. This paper focuses on a project undertaken to assess alternative training methods to teach special operations staffs. It provides a summary of the needs analysis used to consider alternatives and to better posture the Department of Defense for future training development.

  3. Designer's approach for scene selection in tests of preference and restoration along a continuum of natural to manmade environments

    Science.gov (United States)

    Hunter, MaryCarol R.; Askarinejad, Ali

    2015-01-01

    It is well-established that the experience of nature produces an array of positive benefits to mental well-being. Much less is known about the specific attributes of green space which produce these effects. In the absence of translational research that links theory with application, it is challenging to design urban green space for its greatest restorative potential. This translational research provides a method for identifying which specific physical attributes of an environmental setting are most likely to influence preference and restoration responses. Attribute identification was based on a triangulation process invoking environmental psychology and aesthetics theories, principles of design founded in mathematics and aesthetics, and empirical research on the role of specific physical attributes of the environment in preference or restoration responses. From this integration emerged a list of physical attributes defining aspects of spatial structure and environmental content found to be most relevant to the perceptions involved with preference and restoration. The physical attribute list offers a starting point for deciphering which scene stimuli dominate or collaborate in preference and restoration responses. To support this, functional definitions and metrics—efficient methods for attribute quantification are presented. Use of these research products and the process for defining place-based metrics can provide (a) greater control in the selection and interpretation of the scenes/images used in tests of preference and restoration and (b) an expanded evidence base for well-being designers of the built environment. PMID:26347691

  4. Nursing Students' Clinical Learning Environment in Norwegian Nursing Homes: Lack of Innovative Teaching and Learning Strategies

    OpenAIRE

    Berntsen, Karin; Bjørk, Ida Torunn; Brynildsen, Grethe

    2017-01-01

    Background: Nursing students hesitate to choose aged care as a career, and the aged care sectors are on an edge regarding nursing positions. Clinical learning environments may influence nursing students’ career choices. Few studies have explored learning environments in nursing homes, although students increasingly have placements there. Objectives: The aim was to produce information for developing nursing students’ learning opportunities in nursing homes. Design: A cross-sectional survey des...

  5. α7-Nicotinic acetylcholine receptor: role in early odor learning preference in mice.

    Directory of Open Access Journals (Sweden)

    Jennifer L Hellier

    Full Text Available Recently, we have shown that mice with decreased expression of α7-nicotinic acetylcholine receptors (α7 in the olfactory bulb were associated with a deficit in odor discrimination compared to wild-type mice. However, it is unknown if mice with decreased α7-receptor expression also show a deficit in early odor learning preference (ELP, an enhanced behavioral response to odors with attractive value observed in rats. In this study, we modified ELP methods performed in rats and implemented similar conditions in mice. From post-natal days 5-18, wild-type mice were stroked simultaneously with an odor presentation (conditioned odor for 90 s daily. Control mice were only stroked, exposed to odor, or neither. On the day of testing (P21, mice that were stroked in concert with a conditioned odor significantly investigated the conditioned odor compared to a novel odor, as observed similarly in rats. However, mice with a decrease in α7-receptor expression that were stroked during a conditioned odor did not show a behavioral response to that odorant. These results suggest that decreased α7-receptor expression has a role in associative learning, olfactory preference, and/or sensory processing deficits.

  6. Profiling medical school learning environments in Malaysia: a validation study of the Johns Hopkins Learning Environment Scale

    Directory of Open Access Journals (Sweden)

    Sean Tackett

    2015-07-01

    Full Text Available Purpose: While a strong learning environment is critical to medical student education, the assessment of medical school learning environments has confounded researchers. Our goal was to assess the validity and utility of the Johns Hopkins Learning Environment Scale (JHLES for preclinical students at three Malaysian medical schools with distinct educational and institutional models. Two schools were new international partnerships, and the third was school leaver program established without international partnership. Methods: First- and second-year students responded anonymously to surveys at the end of the academic year. The surveys included the JHLES, a 28-item survey using five-point Likert scale response options, the Dundee Ready Educational Environment Measure (DREEM, the most widely used method to assess learning environments internationally, a personal growth scale, and single-item global learning environment assessment variables. Results: The overall response rate was 369/429 (86%. After adjusting for the medical school year, gender, and ethnicity of the respondents, the JHLES detected differences across institutions in four out of seven domains (57%, with each school having a unique domain profile. The DREEM detected differences in one out of five categories (20%. The JHLES was more strongly correlated than the DREEM to two thirds of the single-item variables and the personal growth scale. The JHLES showed high internal reliability for the total score (α=0.92 and the seven domains (α, 0.56-0.85. Conclusion: The JHLES detected variation between learning environment domains across three educational settings, thereby creating unique learning environment profiles. Interpretation of these profiles may allow schools to understand how they are currently supporting trainees and identify areas needing attention.

  7. STUDENTS’ PERCEPTION ABOUT CLINICAL LEARNING ENVIRONMENT IN THE PRIMARY, SECONDARY AND TERTIARY MEDICAL FACILITIES

    OpenAIRE

    Dewi, Dian Puspita; Rahayu, Gandes Retno; Kristina, Tri Nur

    2018-01-01

    Background: Learning environment is an important factor in learning process and can affect students' competence and work-readiness. Learning environment is not only about physical facilities but also social and psychological condition. The complexity of clinical learning environments pose challenges and problems that may affect students learning process so it is necessary to monitoring and evaluating students learning environments. This study aims to assess students' perception of their learn...

  8. Group learning versus local learning: Which is prefer for public cooperation?

    Science.gov (United States)

    Yang, Shi-Han; Song, Qi-Qing

    2018-01-01

    We study the evolution of cooperation in public goods games on various graphs, focusing on the effects that are brought by different kinds of strategy donors. This highlights a basic feature of a public good game, for which there exists a remarkable difference between the interactive players and the players who are imitated. A player can learn from all the groups where the player is a member or from the typically local nearest neighbors, and the results show that the group learning rules have better performance in promoting cooperation on many networks than the local learning rules. The heterogeneity of networks' degree may be an effective mechanism for harvesting the cooperation expectation in many cases, however, we find that heterogeneity does not definitely mean the high frequency of cooperators in a population under group learning rules. It was shown that cooperators always hardly evolve whenever the interaction and the replacement do not coincide for evolutionary pairwise dilemmas on graphs, while for PG games we find that breaking the symmetry is conducive to the survival of cooperators.

  9. academic dimension of classroom learning environment

    African Journals Online (AJOL)

    ... most of them are not interested in their school work, and at the end fail to do .... criminal or lazy, it is the environment that makes him so. Certain environmental ... pregnant women have cause a numbers of deformation in babies, some also ...

  10. The Learners’ Attitudes towards Using Different Learning Methods in E-Learning Portal Environment

    Directory of Open Access Journals (Sweden)

    Issham Ismail

    2011-09-01

    Full Text Available This study investigates the learners’ preference of academic, collaborative and social interaction towards interaction methods in e-learning portal. Academic interaction consists of interaction between learners and online learning resources such as online reading, online explanation, online examination and also online question answering. Collaborative interaction occurs when learners interact among themselves using online group discussion. Social interaction happens when learners and instructors participate in the session either via online text chatting or voice chatting. The study employed qualitative methodology where data were collected through questionnaire that was administered to 933 distance education students from Bachelor of Management, Bachelor of Science, Bachelor of Social Science and Bachelor of Art. The survey responses were tabulated in a 5-point Likert scale and analyzed using the Statistical Package for Social Science (SPSS Version 12.0 based on frequency and percentage distribution. The result of the study suggest that among three types of interaction, most of the student prefer academic interaction for their learning supports in e-learning portal compared to collaborative and social interaction. They wish to interact with learning content rather than interact with people. They prefer to read and learn from the resources rather than sharing knowledge among themselves and instructors via collaborative and social interaction.

  11. Social Networks as Learning Environments for Higher Education

    Directory of Open Access Journals (Sweden)

    J.A.Cortés

    2014-09-01

    Full Text Available Learning is considered as a social activity, a student does not learn only of the teacher and the textbook or only in the classroom, learn also from many other agents related to the media, peers and society in general. And since the explosion of the Internet, the information is within the reach of everyone, is there where the main area of opportunity in new technologies applied to education, as well as taking advantage of recent socialization trends that can be leveraged to improve not only informing of their daily practices, but rather as a tool that explore different branches of education research. One can foresee the future of higher education as a social learning environment, open and collaborative, where people construct knowledge in interaction with others, in a comprehensive manner. The mobility and ubiquity that provide mobile devices enable the connection from anywhere and at any time. In modern educational environments can be expected to facilitate mobile devices in the classroom expansion in digital environments, so that students and teachers can build the teaching-learning process collectively, this partial derivative results in the development of draft research approved by the CONADI in “Universidad Cooperativa de Colombia”, "Social Networks: A teaching strategy in learning environments in higher education."

  12. TELMA: Technology-enhanced learning environment for minimally invasive surgery.

    Science.gov (United States)

    Sánchez-González, Patricia; Burgos, Daniel; Oropesa, Ignacio; Romero, Vicente; Albacete, Antonio; Sánchez-Peralta, Luisa F; Noguera, José F; Sánchez-Margallo, Francisco M; Gómez, Enrique J

    2013-06-01

    Cognitive skills training for minimally invasive surgery has traditionally relied upon diverse tools, such as seminars or lectures. Web technologies for e-learning have been adopted to provide ubiquitous training and serve as structured repositories for the vast amount of laparoscopic video sources available. However, these technologies fail to offer such features as formative and summative evaluation, guided learning, or collaborative interaction between users. The "TELMA" environment is presented as a new technology-enhanced learning platform that increases the user's experience using a four-pillared architecture: (1) an authoring tool for the creation of didactic contents; (2) a learning content and knowledge management system that incorporates a modular and scalable system to capture, catalogue, search, and retrieve multimedia content; (3) an evaluation module that provides learning feedback to users; and (4) a professional network for collaborative learning between users. Face validation of the environment and the authoring tool are presented. Face validation of TELMA reveals the positive perception of surgeons regarding the implementation of TELMA and their willingness to use it as a cognitive skills training tool. Preliminary validation data also reflect the importance of providing an easy-to-use, functional authoring tool to create didactic content. The TELMA environment is currently installed and used at the Jesús Usón Minimally Invasive Surgery Centre and several other Spanish hospitals. Face validation results ascertain the acceptance and usefulness of this new minimally invasive surgery training environment. Copyright © 2013 Elsevier Inc. All rights reserved.

  13. Career learning and career learning environment in Dutch higher education

    NARCIS (Netherlands)

    Meijers, Frans; Kuijpers, Marinka

    2018-01-01

    Purpose – The purpose of this paper is to focus on the effects of career development and guidance among students (age 17-23) enrolled in higher education in The Netherlands. First the paper explores whether the development of career competencies contribute to career identity, learning motivation,

  14. Career learning and career learning environment in Dutch higher education

    NARCIS (Netherlands)

    Marinka Kuijpers; dr. Frans Meijers

    2014-01-01

    Purpose: The purpose of this paper is to focus on the effects of career development and guidance among students (age 17-23) enrolled in higher education in The Netherlands. First the paper explores whether the development of career competencies contribute to career identity, learning motivation,

  15. Creating Participatory Online Learning Environments: A Social Learning Approach Revisited

    Science.gov (United States)

    Conley, Quincy; Lutz, Heather S.; Padgitt, Amanda J.

    2017-01-01

    Online learning has never been more popular than it is today. Due to the rapid growth of online instruction at colleges and universities, questions about the effectiveness of online courses have been raised. In this paper, we suggest guidelines for the selection and application of social media tools. In addition to describing the potential…

  16. A Constructionist Learning Environment for Teachers to Model Learning Designs

    Science.gov (United States)

    Laurillard, D.; Charlton, P.; Craft, B.; Dimakopoulos, D.; Ljubojevic, D.; Magoulas, G.; Masterman, E.; Pujadas, R.; Whitley, E.A.; Whittlestone, K.

    2013-01-01

    The use of digital technologies is now widespread and increasing, but is not always optimized for effective learning. Teachers in higher education have little time or support to work on innovation and improvement of their teaching, which often means they simply replicate their current practice in a digital medium. This paper makes the case for a…

  17. Problem-Based Learning in Formal and Informal Learning Environments

    Science.gov (United States)

    Shimic, Goran; Jevremovic, Aleksandar

    2012-01-01

    Problem-based learning (PBL) is a student-centered instructional strategy in which students solve problems and reflect on their experiences. Different domains need different approaches in the design of PBL systems. Therefore, we present one case study in this article: A Java Programming PBL. The application is developed as an additional module for…

  18. Learning Design Patterns for Hybrid Synchronous Video-Mediated Learning Environments

    DEFF Research Database (Denmark)

    Weitze, Charlotte Lærke

    2016-01-01

    This article describes an innovative learning environment where remote and face-to-face full-time general upper secondary adult students jointly participate in the same live classes at VUC Storstrøm, an adult learning centre in Denmark. The teachers developed new learning designs as a part of the...... activating and equal learning designs for the students. This article is written on the basis of a chapter in the PhD–thesis by the author....

  19. Learning new skills in Multimodal Enactive Environments

    Directory of Open Access Journals (Sweden)

    Bardy Benoît G.

    2011-12-01

    Full Text Available A European consortium of researchers in movement and cognitive sciences, robotics, and interaction design developed multimodal technologies to accelerate and transfer the (relearning of complex skills from virtual to real environments. The decomposition of skill into functional elements — the subskills — and the enactment of informational variables used as accelerators are here described. One illustration of accelerator using virtual reality in team rowing is described.

  20. Rats' learned preferences for flavors encountered early or late in a meal paired with the postingestive effects of glucose.

    Science.gov (United States)

    Myers, Kevin P; Whitney, Margaret C

    2011-03-28

    Rats learn to prefer flavors that are followed by postingestive effects of nutrients. This experiment investigated whether the timing of a flavor (specifically, in the first or second half of the meal) influences learning about that flavor. Stronger learning about earlier or later flavors would indicate when the rewarding postingestive effects of nutrients are sensed. Rats with intragastric (IG) catheters drank saccharin-sweetened, calorically-dilute solutions with distinct flavors added, accompanied by IG infusion of glucose (+sessions) or water (-sessions). In both types of sessions, an "Early" flavor was provided for the first 8 min and a "Late" flavor for the last 8 min. Thus, rats were trained with Early(+) and Late(+) in high-calorie meals, and Early(-) and Late(-) in low-calorie meals. Strength of the learned preference for Early(+) and Late(+) was then assessed in a series of two-bottle choice tests between Early(+) vs. Early(-), Late(+) vs. Late(-), Early(+) vs. Late(+), and Early(-) vs. Late(-). Rats preferred both Early(+) and Late(+) over the respective (-) flavors. But Early(+) was only preferred when rats were tested hungry. Late(+) was preferred when rats were tested hungry or recently satiated. This indicates qualitatively different associations learned about flavors at different points in the meal. While not supporting the idea that postingestive effects become most strongly associated with later-occurring ("dessert") flavors, it does suggest a reason dessert flavors may remain attractive in the absence of hunger. Copyright © 2010 Elsevier Inc. All rights reserved.