This paper develops a theoretical framework for employing learning analytics in online education to trace multiple learning variations of online students by considering their potential of being multiple intelligences based on Howard Gardner's 1983 theory of multiple intelligences. The study first emphasizes the need to facilitate students as…
Full Text Available This paper develops a theoretical framework for employing learning analytics in online education to trace multiple learning variations of online students by considering their potential of being multiple intelligences based on Howard Gardner’s 1983 theory of multiple intelligences. The study first emphasizes the need to facilitate students as multiple intelligences by online education systems and then suggests a framework of the advanced form of learning analytics i.e., multimodal learning analytics for tracing and facilitating multiple intelligences while they are engaged in online ubiquitous learning. As multimodal learning analytics is still an evolving area, it poses many challenges for technologists, educationists as well as organizational managers. Learning analytics make machines meet humans, therefore, the educationists with an expertise in learning theories can help technologists devise latest technological methods for multimodal learning analytics and organizational managers can implement them for the improvement of online education. Therefore, a careful instructional design based on a deep understanding of students’ learning abilities, is required to develop teaching plans and technological possibilities for monitoring students’ learning paths. This is how learning analytics can help design an adaptive instructional design based on a quick analysis of the data gathered. Based on that analysis, the academicians can critically reflect upon the quick or delayed implementation of the existing instructional design based on students’ cognitive abilities or even about the single or double loop learning design. The researcher concludes that the online education is multimodal in nature, has the capacity to endorse multiliteracies and, therefore, multiple intelligences can be tracked and facilitated through multimodal learning analytics in an online mode. However, online teachers’ training both in technological implementations and
Sener, Sabriye; Çokçaliskan, Ayten
Exploring learning style and multiple intelligence type of learners can enable the students to identify their strengths and weaknesses and learn from them. It is also very important for teachers to understand their learners' learning styles and multiple intelligences since they can carefully identify their goals and design activities that can…
Medeiros Vieira, Leandro Mauricio; Ferasso, Marcos; Schröeder, Christine da Silva
This theoretical essay is a learning approach reflexion on Howard Gardner's Theory of Multiple Intelligences and the possibilities provided by the education model known as open and distance learning. Open and distance learning can revolutionize traditional pedagogical practice, meeting the needs of those who have different forms of cognitive…
Gracious, F. L. Antony; Shyla, F. L. Jasmine Anne
The present study Multiple Intelligence and Digital Learning Awareness of prospective B.Ed teachers was probed to find the relationship between Multiple Intelligence and Digital Learning Awareness of Prospective B.Ed Teachers. Data for the study were collected using self made Multiple Intelligence Inventory and Digital Learning Awareness Scale.…
Asma’a Abdulrazzaq Al-Mahbashi
Full Text Available Over the past decades, the potential for the direct use of corpora known as data driven learning (DDL has gained great prominence in English language classrooms. A substantial number of empirical studies demonstrated that DDL instruction positively affects students’ learning. As learning outcomes can be affected by individual differences, some researchers have investigated the efficiency of DDL in the light of learners’ different characteristics to determine the type of learners who were more responsive to DDL. The DDL literature has indicated the need for more research addressing for whom DDL best suits. Therefore, the aim of the current study was to examine whether or not learners’ predominant intelligences were significant predictors of DDL learning outcomes. The sample for this study included 30 female EFL Yemeni students at Sana’a University. The study used three primary instruments: a multiple intelligence questionnaire, a posttest and a delayed test on the vocabulary that was taught using DDL. The result of the correlation analyses between the participants’ three identified predominant intelligences and their performances in the posttest and delayed test showed an insignificant relationship between the variables. The regression analyses results also revealed that the predominant intelligences insignificantly predicted the participants’ posttest and delayed test performances. Based on these findings, learners’ needs and preferences should be activated and addressed by classroom instructions for creating a diverse and motivating learning environment.
This article deals with the implementation of Multiple Intelligences supported Project-Based learning in EFL/ESL Classrooms. In this study, after Multiple Intelligences supported Project-based learning was presented shortly, the implementation of this learning method into English classrooms. Implementation process of MI supported Project-based…
Hearne, D; Stone, S
The field of learning disabilities, like education in the main, is undergoing calls for reform and restructuring, an upheaval brought on in great part by the forces of opposing paradigms--reductionism and constructivism. In reexamining our past, we must begin to address the failures of traditional deficit models and their abysmally low "cure" rate. Several new theories have arisen that challenge traditional practices in both general and special education classrooms. Particularly influential has been the work of Howard Gardner, whose theory of multiple intelligences calls for a restructuring of our schools to accommodate modes of learning and inquiry with something other than deficit approaches. At least some current research in the field of learning disabilities has begun to focus on creativity and nontraditional strengths and talents that have not been well understood or highly valued by the schools. In this article, we briefly summarize the findings in our search for the talents of students labeled learning disabled, evidence of their abilities, implications of these for the schools, and a beginning set of practical recommendations.
Christodoulou, Joanna A.
The ideas of multiple intelligences introduced by Howard Gardner of Harvard University more than 25 years ago have taken form in many ways, both in schools and in other sometimes-surprising settings. The silver anniversary of Gardner's learning theory provides an opportunity to reflect on the ways multiple intelligences theory has taken form and…
Full Text Available This study was aimed to develop and produce an assessment instrument of mathematical learning results based on multiple intelligence. The methods in this study used Borg & Gall-Research and Development approach (Research & Development. The subject of research was 289 students. The results of research: (1 Result of Aiken Analysis showed 58 valid items were between 0,714 to 0,952. (2 Result of the Exploratory on factor analysis indicated the instrument consist of three factors i.e. mathematical logical intelligence-spatial intelligence-and linguistic intelligence. KMO value was 0.661 df 0.780 sig. 0.000 with valid category. This research succeeded to developing the assessment instrument of mathematical learning results based on multiple intelligence of second grade in elementary school with characteristics of logical intelligence of mathematics, spatial intelligence, and linguistic intelligence.
Hajhashemi, Karim; Caltabiano, Nerina; Anderson, Neil; Tabibzadeh, Seyed Asadollah
This study investigates multiple intelligences in relation to online video experiences, age, gender, and mode of learning from a rural Australian university. The inter-relationships between learners' different intelligences and their motivations and learning experience with the supplementary online videos utilised in their subjects are…
Narli, Serkan; Ozgen, Kemal; Alkan, Huseyin
The present study aims to identify the relationship between individuals' multiple intelligence areas and their learning styles with mathematical clarity using the concept of rough sets which is used in areas such as artificial intelligence, data reduction, discovery of dependencies, prediction of data significance, and generating decision…
Chen, Hong-Ren; Chiang, Chih-Hao; Lin, Wen-Shan
With the rapid progress in information technology, interactive whiteboards have become IT-integrated in teaching activities. The theory of multiple intelligences argues that every person possesses multiple intelligences, emphasizing learners' cognitive richness and the possible role of these differences in enhanced learning. This study is the…
Full Text Available Gardner's Multiple Intelligences theory is presented as a cognitive perspective on intelligence which has profound implications for education in general. More specifically, it has led to the application of eight of these frames to language teaching and learning. In this chapter, we will argue in favour of the application of MIT to the EFL classroom, using as support some of the major insights for language teaching from brain science.
Kumalasari, Lita; Yusuf Hilmi, A.; Priyandoko, Didik
The purpose of this study is to offer an alternative teaching approach or strategies which able to accommodate students’ different ability, intelligence and learning style. Also can gives a new idea for the teacher as a facilitator for exploring how to teach the student in creative ways and more student-center activities, for a lesson such as circulatory system. This study was carried out at one private school in Bandung involved eight students to see their responses toward the lesson that delivered by using Multiple Intelligence approach which is include Linguistic, Logical-Mathematical, Visual-Spatial, Musical, Bodily-Kinesthetic, Interpersonal, Intrapersonal, and Naturalistic. Students were test by using MI test based on Howard Gardner’s MI model to see their dominant intelligence. The result showed the percentage of top three ranks of intelligence are Bodily-Kinesthetic (73%), Visual-Spatial (68%), and Logical-Mathematical (61%). The learning process is given by using some different multimedia and activities to engaged their learning style and intelligence such as mini experiment, short clip, and questions. Student response is given by using self-assessment and the result is all students said the lesson gives them a knowledge and skills that useful for their life, they are clear with the explanation given, they didn’t find difficulties to understand the lesson and can complete the assignment given. At the end of the study, it is reveal that the students who are learned by Multiple Intelligence instructional approach have more enhance to the lesson given. It’s also found out that the students participated in the learning process which Multiple Intelligence approach was applied enjoyed the activities and have great fun.
Alrabah, Sulaiman; Wu, Shu-hua; Alotaibi, Abdullah M.
The study aimed to investigate the learning styles and multiple intelligences of English as foreign language (EFL) college-level students. "Convenience sampling" (Patton, 2015) was used to collect data from a population of 250 students enrolled in seven different academic departments at the College of Basic Education in Kuwait. The data…
Sistani, Mahsa; Hashemian, Mahmood
This study, first, examined whether there was any relationship between Iranian L2 learners' vocabulary learning strategies (VLSs), on the one hand, and their multiple intelligences (MI) types, on the other hand. In so doing, it explored the extent to which MI would predict L2 learners' VLSs. To these ends, 40 L2 learners from Isfahan University of…
Liu, Hui-ju; Chen, Ting-Han
This study mainly investigates language anxiety and its relationship to the use of learning strategies and multiple intelligences among young learners in an EFL educational context. The participants were composed of 212 fifth- and sixth-graders from elementary schools in central Taiwan. Findings indicated that most participants generally…
Wu, Shu-hua; Alrabah, Sulaiman
The purpose of the present study was to relate the findings of a survey of learning styles and multiple intelligences that was distributed among two different cultural groups of Freshman-level EFL students in Taiwan and Kuwait in order to confirm its consistency for developing teaching techniques appropriate for each group's general profiles. Data…
Baleghizadeh, Sasan; Shayeghi, Rose
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…
Adams, Thomasenia Lott
Focuses on the National Council of Teachers of Mathematics 2000 process-oriented standards of problem solving, reasoning and proof, communication, connections, and representation as providing a framework for using the multiple intelligences that children bring to mathematics learning. Presents ideas for mathematics lessons and activities to…
Pratiwi, W. N.; Rochintaniawati, D.; Agustin, R. R.
This research was focused on investigating the effect of multiple intelligence -based learning as a learning approach towards students’ concept mastery and interest in learning matter. The one-group pre-test - post-test design was used in this research towards a sample which was according to the suitable situation of the research sample, n = 13 students of the 7th grade in a private school in Bandar Seri Begawan. The students’ concept mastery was measured using achievement test and given at the pre-test and post-test, meanwhile the students’ interest level was measured using a Likert Scale for interest. Based on the analysis of the data, the result shows that the normalized gain was .61, which was considered as a medium improvement. in other words, students’ concept mastery in matter increased after being taught using multiple intelligence-based learning. The Likert scale of interest shows that most students have a high interest in learning matter after being taught by multiple intelligence-based learning. Therefore, it is concluded that multiple intelligence – based learning helped in improving students’ concept mastery and gain students’ interest in learning matter.
Moafian, Fatemeh; Ebrahimi, Mohammad Reza
The current study investigated the association between multiple intelligences and language learning efficacy expectations among TEFL (Teaching English as a Foreign Language) university students. To fulfill the aim of the study, 108 junior and senior TEFL students were asked to complete the "Multiple Intelligence Developmental Assessment…
Ozgen, Kemal; Tataroglu, Berna; Alkan, Huseyin
The present study aims to identify pre-service mathematics teachers' multiple intelligence domains and learning style profiles, and to establish relationships between them. Employing the survey model, the study was conducted with the participation of 243 pre-service mathematics teachers. The study used the "multiple intelligence domains…
Moran, Seana; Kornhaber, Mindy; Gardner, Howard
Education policymakers often go astray when they attempt to integrate multiple intelligences theory into schools, according to the originator of the theory, Howard Gardner, and his colleagues. The greatest potential of a multiple intelligences approach to education grows from the concept of a profile of intelligences. Each learner's intelligence…
Full Text Available Introduction: Nowadays the incorporation and validation of learning styles and multiple intelligences enable teachers to obtain positive results in academic performance. This new approach has allowed to appreciate personal differences in dental students and strengthen their underdeveloped aspects, improving teaching and learning skills. Objective: To compare learning styles and multiple intelligences in a sample of Mexican dental students in their first and tenth semester. Materials and Methods: A cross-sectional study using questionnaires on learning styles (Honey-Alonso and Gardner’s multiple intelligences was performed. The study was applied to 123 students in their first semester and 157 in their tenth semester at the School of Dentistry at Universidad Autónoma de Nuevo León, evaluating differences between age and sex. Results: Logical-Mathematical intelligence (p=0.044 and Kinesthetic-Corporal intelligence (p=0.042 showed significant differences between students of both semesters, with intrapersonal and interpersonal intelligences being more prevalent. Within learning styles, the prevalent were Reflexive and Theoretical, showing a significant difference between semesters (p=0.005. Conclusion: The most prevalent learning styles in both groups were Reflexive and Theoretical, with no difference between both sexes. The most prevalent types of multiple intelligences in both sexes and groups were interpersonal and intrapersonal.
Brown Wright, Gloria Aileen
Howard Gardner's Theory of Multiple Intelligences identifies linguistic, spatial and logical-mathematical intelligences as necessary for learning in the physical sciences. He has identified nine intelligences which all persons possess to varying degrees, and says that learning is most effective when learners receive information in formats that correspond to their intelligence strengths. This research investigated the importance of the multiple intelligences of students in first-year college chemistry to the learning of chemistry concepts. At three pre-selected intervals during the first-semester course each participant received a tutorial on a chemistry topic, each time in a format corresponding to a different one of the three intelligences, just before the concept was introduced by the class lecturer. At the end of the experiment all subjects had experienced each of the three topics once and each format once, after which they were administered a validated instrument to measure their relative strengths in these three intelligences. The difference between a pre- and post-tutorial quiz administered on each occasion was used as a measure of learning. Most subjects were found to have similar strengths in the three intelligences and to benefit from the tutorials regardless of format. Where a difference in the extent of benefit occurred the difference was related to the chemistry concept. Data which indicate that students' preferences support these findings are also included and recommendations for extending this research to other intelligences are made.
Kunkel, Christine D.
This article features a school built on multiple intelligences. As the first multiple intelligences school in the world, the Key Learning Community shapes its students' days to include significant time in the musical, spatial and bodily-kinesthetic intelligences, as well as the more traditional areas of logical-mathematical and linguistics. In…
Describes the investigation of the effects of a four-step model program used with third through fifth grade students to implement Gardener's concepts of seven human intelligences--linguistic, logical/mathematical, visual/spatial, musical, kinesthetic, intrapersonal, and interpersonal intelligence--into daily learning. (BB)
Nuallaong, Winitra; Nuallaong, Thanya; Preechadirek, Nongluck
To measure academic achievement of the multiple intelligence-based learning medium via a tablet device. This is a quasi-experimental research study (non-randomized control group pretest-posttest design) in 62 grade 1 elementary students (33 males and 29 females). Thirty-one students were included in an experimental group using purposive sampling by choosing a student who had highest multiple intelligence test scores in logical-mathematic. Then, this group learned by the new learning medium via a tablet which the application matched to logical-mathematic multiple intelligence. Another 31 students were included in a control group using simple random sampling and then learning by recitation. Both groups did pre-test and post-test vocabulary. Thirty students in the experimental group and 24 students in the control group increased post-test scores (odds ratio = 8.75). Both groups made significant increasing in post-test scores. The experimental group increased 9.07 marks (95% CI 8.20-9.93) significantly higher than the control group which increased 4.39 marks (95% CI 3.06-5.72) (t = -6.032, df = 51.481, p learning from either multiple intelligence-based learning medium via a tablet or recitation can contribute academic achievement, learningfrom the new medium contributed more achievement than recitation. The new learning medium group had higher post-test scores 8.75 times than the recitation group. Therefore, the new learning medium is more effective than the traditional recitation in terms of academic achievement. This study has limitations because samples came from the same school. However, the previous study in Thailand did notfind a logical-mathematical multiple intelligence difference among schools. In the future, long-term research to find how the new learning medium affects knowledge retention will support the advantage for life-long learning.
Full Text Available The aim of the research was to investigate the effects of multiple intelligences supported project-based learning and traditional foreign language-teaching environment on students' achievement and their attitude towards English lesson. The research was carried out in 2009 – 2010 education-instruction year in Karatli Sehit Sahin Yilmaz Elementary School, Nigde, Turkey. Totally 50 students in two different classes in the 5th grade of this school participated in the study. The results of the research showed a significant difference between the attitude scores of the experiment group and the control group. It was also found out that the multiple intelligences approach activities were more effective in thepositive development of the students’ attitudes. At the end of the research, it is revealed that the students who are educated by multiple intelligences supported project-based learning method are more successful and have a higher motivation level than the studentswho are educated by the traditional instructional methods.
Bas, Gökhan; Beyhan, Ömer
The aim of the research was to investigate the effects of multiple intelligences supported project-based learning and traditional foreign language-teaching environment on students' achievement and their attitude towards English lesson. The research was carried out in 2009-2010 education-instruction year in Karatli Sehit Sahin Yilmaz Elementary…
Perry, Chris; Ball, Ian
This study explores issues in teacher education that increase our understanding of, and response to, the individual differences displayed by learners. A large undergraduate teacher education cohort provided evidence of the range and distribution of preferences in learning styles, psychological types and multiple intelligences. This information…
Malatesta, Mike; Quintana, Yamilet
The Multiple Intelligence Theory (MI) is one of the models that study and describe the cognitive abilities of an individual. In  is presented a referential system which allows to identify the Multiple Intelligences of the students of a course and to classify the level of development of such Intelligences. Following this tendency, the purpose of this paper is to describe the model of Multiple Intelligences as a quotient space, and also to study the Multiple Intelligences of an individual in...
Alejandro Castro Solano
Full Text Available During many years has prevailed the idea of intelligence as a single problem solving ability (factor g considered the best predictor of student’s academic achievement. Recently, researches have begun to take an alternative view of the problem, understanding it is a multidimensional construct. Multiple intelligences (MI theory proposed by Gardner (1983 takes into account seven talents or skills individuals appear to have in certain amount. These latent bio-psychological potentials are stable and they are mantained through life. Theory of MI proposes that every person learns in relation to them. MI theory has many educational applications, however, very few efforts have been made to verify such statements. The main goal of this study is to analyze the IM differential individual profile of high school and university students studying the relation between IM, academic achievement and self efficacy competence on course performance. Two studies were carried out , the first was done with high school students (N=500 and the second with military students (N=362. Based on Armstrong’s proposals to assess IM, an inventory was designed. Main results point out that there is a correspondence between academic attainment, self interest and self perception of competence in different courses students take. MI are good predictors of academic achievement considering specific areas but they don’t provide a better estimation compared to traditional assessment instruments. Students who have failed in school were those with more spatial and corporal abilities, usually relegated by traditional instruction. High achievers were those with more logical and intrapersonal skills. Different relations were found for military students. For these latter students IM theory was not a valuable predictor of successful academic attainment.
Eissa, Mourad Ali; Mostafa, Amaal Ahmed
This study investigated the effect of using differentiated instruction by integrating multiple intelligences and learning styles on solving problems, achievement in, and attitudes towards math in six graders with learning disabilities in cooperative groups. A total of 60 students identified with LD were invited to participate. The sample was…
The Multiple Intelligences teaching approach has evolved and been embraced widely especially in the United States. The approach has been found to be very effective in changing situations for the better, in the teaching and learning of any subject especially mathematics. Multiple Intelligences teaching approach proposes ...
Graesser, Arthur C.; Hu, Xiangen; Nye, Benjamin D.; VanLehn, Kurt; Kumar, Rohit; Heffernan, Cristina; Heffernan, Neil; Woolf, Beverly; Olney, Andrew M.; Rus, Vasile; Andrasik, Frank; Pavlik, Philip; Cai, Zhiqiang; Wetzel, Jon; Morgan, Brent; Hampton, Andrew J.; Lippert, Anne M.; Wang, Lijia; Cheng, Qinyu; Vinson, Joseph E.; Kelly, Craig N.; McGlown, Cadarrius; Majmudar, Charvi A.; Morshed, Bashir; Baer, Whitney
Background: The Office of Naval Research (ONR) organized a STEM Challenge initiative to explore how intelligent tutoring systems (ITSs) can be developed in a reasonable amount of time to help students learn STEM topics. This competitive initiative sponsored four teams that separately developed systems that covered topics in mathematics,…
Sahli, Sanem; Laszig, Roland; Aschendorff, Antje; Kroeger, Stefanie; Wesarg, Thomas; Belgin, Erol
The aim of the study is to determinate the using dominant multiple intelligence types and compare the learning preferences of Turkish cochlear implanted children aged four to ten in Turkey and Germany according to Theory of multiple intelligence. The study has been conducted on a total of 80 children and four groups in Freiburg/Germany and Ankara/Turkey. The applications have been done in University of Freiburg, Cochlear Implant Center in Germany, and University of Hacettepe, ENT Department, Audiology and Speech Pathology Section in Turkey. In this study, the data have been collected by means of General Information Form and Cochlear Implant Information Form applied to parents. To determine the dominant multiple intelligence types of children, the TIMI (Teele Inventory of Multiple Intelligences) which was developed by Sue Teele have been used. The study results exposed that there was not a statistically significant difference on dominant intelligence areas and averages of scores of multiple intelligence types in control groups (p>0.05). Although, the dominant intelligence areas were different (except for first dominant intelligence) in cochlear implanted children in Turkey and Germany, there was not a statistically significant difference on averages of scores of dominant multiple intelligence types. Every hearing impaired child who started training, should be evaluated in terms of multiple intelligence areas and identified strengths and weaknesses. Multiple intelligence activities should be used in their educational programs. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.
Boonma, Malai; Phaiboonnugulkij, Malinee
This article calls for a strong need to propose the theoretical framework of the Multiple Intelligences theory (MI) and provide a suitable answer of the doubt in part of foreign language teaching. The article addresses the application of MI theory following various sources from Howard Gardner and the authors who revised this theory for use in the…
Liliawati, W.; Utama, J. A.; Ramalis, T. R.; Rochman, A. A.
Validation of the Earth and Space Science learning the material in the chapter of the Earth's Protector based on experts (media & content expert and practitioners) and junior high school students' responses are presented. The data came from the development phase of the 4D method (Define, Design, Develop, Dissemination) which consist of two steps: expert appraisal and developmental testing. The instrument employed is rubric of suitability among the book contents with multiple intelligences activities, character education, a standard of book assessment, a questionnaires and close procedure. The appropriateness of the book contents with multiple intelligences, character education and standard of book assessment is in a good category. Meanwhile, students who used the book in their learning process gave a highly positive response; the book was easy to be understood. In general, the result of cloze procedure indicates high readability of the book. As our conclusion is the book chapter of the Earth's Protector can be used as a learning material accommodating students’ multiple intelligences and character internalization.
Full Text Available The aim of the research was to investigate the effects of multiple intelligences supported project-based learning and traditional foreign language-teaching environment on students’ achievement and their attitude towards English lesson. The research was carried out in 2009 – 2010 education-instruction year in Karatli Sehit Sahin Yilmaz Elementary School, Nigde, Turkey. Totally 50 students in two different classes in the 5th grade of this school participated in the study. The results of the research showed a significant difference between the attitude scores of the experiment group and the control group. It was also found out that the multiple intelligences approach activities were more effective in the positive development of the students’ attitudes. At the end of the research, it is revealed that the students who are educated by multiple intelligences supported project-based learning method are more successful and have a higher motivation level than the students who are educated by the traditional instructional methods.
Full Text Available This article calls for a strong need to propose the theoretical framework of the Multiple Intelligences theory (MI and provide a suitable answer of the doubt in part of foreign language teaching. The article addresses the application of MI theory following various sources from Howard Gardner and the authors who revised this theory for using in the field of the English speaking improvement domain. In other word, this article combines and summarizes appropriate elements for the person on how to start teaching with this theory. The article also describes sequences and implication of the theory into practice. MI theory with the description of eight intelligences characteristic is presented. Following is the parts of activities catering and the processes of teaching with MI are provided. This article ends with the reviews of the ways for assessment and examples of lesson plan integrated with MI theory.
Liliawati, W.; Purwanto; Zulfikar, A.; Kamal, R. N.
This study aims to examine the effectiveness of the use of teaching materials based on multiple intelligences on the understanding of high school students’ material on the theme of global warming. The research method used is static-group pretest-posttest design. Participants of the study were 60 high school students of XI class in one of the high schools in Bandung. Participants were divided into two classes of 30 students each for the experimental class and control class. The experimental class uses compound-based teaching materials while the experimental class does not use a compound intelligence-based teaching material. The instrument used is a test of understanding of the concept of global warming with multiple choices form amounted to 15 questions and 5 essay items. The test is given before and after it is applied to both classes. Data analysis using N-gain and effect size. The results obtained that the N-gain for both classes is in the medium category and the effectiveness of the use of teaching materials based on the results of effect-size test results obtained in the high category.
Liliawati, W.; Utama, J. A.; Mursydah, L. S.
The purpose of this study is to identify gender-based concept mastery differences of junior high school students after the implementation of multiple intelligences-based integrated earth and space science learning. Pretest-posttest group design was employed to two different classes at one of junior high school on eclipse theme in Tasikmalaya West Java: one class for boys (14 students) and one class of girls (18 students). The two-class received same treatment. The instrument of concepts mastery used in this study was open-ended eight essay questions. Reliability test result of this instrument was 0.9 (category: high) while for validity test results were high and very high category. We used instruments of multiple intelligences identification and learning activity observation sheet for our analysis. The results showed that normalized N-gain of concept mastery for boys and girls were improved, respectively 0.39 and 0.65. Concept mastery for both classes differs significantly. The dominant multiple intelligences for boys were in kinesthetic while girls dominated in the rest of multiple intelligences. Therefor we concluded that the concept mastery was influenced by gender and student’s multiple intelligences. Based on this finding we suggested to considering the factor of gender and students’ multiple intelligences given in the learning activity.
The multiple intelligence theory is based on cultural contexts, biological analysis, developmental theories, and a vertical theory of faculties. Seven intelligences are identified: linguistic, logical mathematical, musical, spatial, bodily kinesthetic, interpersonal, and intrapersonal. The theory's educational implications are described,…
Kirsi Tirri; Petri Nokelainen; Erkki Komulainen
This paper is about issues relating to the assessment of multiple intelligences. The first section introduces the authors’ work on building measures of multiple intelligences and moral sensitivities. It also provides a conceptual definition of multiple intelligences based on Multiple Intelligences theory by Howard Gardner (1983). The second section discusses the context specificity of intelligences and alternative approaches to measuring multiple intelligences. The third section analyses the ...
Harman, Marsha J.; Kordinak, S. Thomas; Bruce, A. Jerry
With his theory of multiple intelligences, Howard Gardner challenged the presumption that intelligence is a single innate entity. He maintained that multiple intelligences exist and are related to specific brain areas and symbol systems. Each of the intelligences has its merits and limits, but by using a multiple intelligences approach, more…
Tulisan ini membahas mengenai penerapan teori multiple intelligences dalam pembelajaran di sekolah. Pembahasan diawali dengan menguraikan perkembangan konsep inteligensi dan multiple intelligences. Diikuti dengan menjelaskan dampak teori multiple intelligences dalam bidang pendidikan dan pembelajaran di sekolah. Bagian selanjutnya menguraikan tentang implementasi teori multiple intelligences dalam praktik pembelajaran di kelas yaitu bagaimana pemberian pengalaman belajar siswa yang difasilita...
Gomaa, Omema Mostafa Kamel
This study investigated the effect of using differentiated instruction using multiple intelligences on achievement in and attitudes towards science in middle school students with learning disabilities. A total of 61 students identified with LD participated. The sample was randomly divided into two groups; experimental (n= 31 boys )and control (n=…
Waalkens, Maaike; Aleven, Vincent; Taatgen, Niels
Intelligent tutoring systems (ITS) support students in learning a complex problem-solving skill. One feature that makes an ITS architecturally complex, and hard to build, is support for strategy freedom, that is, the ability to let students pursue multiple solution strategies within a given problem.
McClellan, Joyce A.; Conti, Gary J.
One way of addressing individual differences among adult learners is to identify the Multiple Intelligences of the learner. Multiple Intelligences refers to the concept developed by Howard Gardner that challenges the traditional view of intelligence and explains the presence of nine different Multiple Intelligences. The purpose of this study was…
Full Text Available Tulisan ini membahas mengenai penerapan teori multiple intelligences dalam pembelajaran di sekolah. Pembahasan diawali dengan menguraikan perkembangan konsep inteligensi dan multiple intelligences. Diikuti dengan menjelaskan dampak teori multiple intelligences dalam bidang pendidikan dan pembelajaran di sekolah. Bagian selanjutnya menguraikan tentang implementasi teori multiple intelligences dalam praktik pembelajaran di kelas yaitu bagaimana pemberian pengalaman belajar siswa yang difasilitasi guru dapat menstimulasi multiple intelligences siswa. Evaluasi hasil belajar siswa dari pandangan penerapan teori multiple intelligences seharusnya dilakukan menggunakan authentic assessment dan portofolio yang lebih memfasilitasi para siswa mengungkapkan atau mengaktualisasikan hasil belajarnya melalui berbagai cara sesuai dengan kekuatan jenis inteligensinya.
The relationship between intelligence, language, and learning is a challenging field of study. One way to study how this relationship occurs and works is to investigate the perceptions of advanced language learners. Therefore, this paper reports a study that was conducted to explore 160 pre-service English language teachers' perceptions about…
Full Text Available The theory of multiple intelligences was presented by Gardner in 1983. The theory was revised later (1999 and among the other intelligences a naturalist intelligence was added. The criteria for distinguishing of the different types of intelligences are considered. While Gardner restricted the analysis of the naturalist intelligence with examples from the living nature only, the present paper considered this problem on wider background including objects and persons of the natural sciences.
Full Text Available This study aims to determine views of teachers and supervisors related to the multiple intelligences in students’ learning that they took into consideration in the evaluation of teachers during lesson supervision. The study was conducted with 5 supervisors who work at Kahramanmaraş provincial directorate of national education and 10 teachers who work at primary schools in the centre of Kahramanmaraş in 2011-2012 year. Data was gathered with the help of interview form consisting of five open-ended questions. In the analysis of the data content analysis which is one of the qualitative research methods. According to the results of the analysis, it has been found that usage of multiple intelligences theory in the evaluation students’ learning during supervision enabled them to evaluate students’ learning in a more detailed way. It also made it possible for the supervisors to examine supervision evaluations at different levels. It was also mentioned that supervisions made according to multiple intelligence theory has some limitations.
This study examined teachers' use of the Multiple Intelligences Theory on vocabulary acquisition by preschoolers during English as a second language (ESL) classes in a K-12 school in Lebanon. Eighty kindergartners (KG II, aged 5 years) and eight teachers constituted the sample. The study used mixed methods, including observations of videotaped…
Clarke, Angela; Cripps, Peter
Curriculum and pedagogy in undergraduate fine art can promote an approach to learning creativity that is more about being an artist than knowing about art. Lecturers can provide a road map for developing particular dispositions, in relation to student ideas and perceptions, to foster personalised creativity. This requires that lecturers have an…
Kartikasari, A.; Widjajanti, D. B.
The aim of this study is to explore the effectiveness of learning approach using problem-based learning based on multiple intelligences in developing student’s achievement, mathematical connection ability, and self-esteem. This study is experimental research with research sample was 30 of Grade X students of MIA III MAN Yogyakarta III. Learning materials that were implemented consisting of trigonometry and geometry. For the purpose of this study, researchers designed an achievement test made up of 44 multiple choice questions with respectively 24 questions on the concept of trigonometry and 20 questions for geometry. The researcher also designed a connection mathematical test and self-esteem questionnaire that consisted of 7 essay questions on mathematical connection test and 30 items of self-esteem questionnaire. The learning approach said that to be effective if the proportion of students who achieved KKM on achievement test, the proportion of students who achieved a minimum score of high category on the results of both mathematical connection test and self-esteem questionnaire were greater than or equal to 70%. Based on the hypothesis testing at the significance level of 5%, it can be concluded that the learning approach using problem-based learning based on multiple intelligences was effective in terms of student’s achievement, mathematical connection ability, and self-esteem.
María Encarnación Carrillo García
Full Text Available In the following essay we analyse the Multiple Intelligence Theory of Howard Gardner focus on the teaching of languages, in order to describe its main points, such us: its description; the types of intelligences explained in it; and the activities, that some authors describe, for developing this theory in the teaching and learning language context.
Calik, Basak; Birgili, Bengi
This paper scrutinizes giftedness and gifted learners under the implications of multiple intelligence theory with regard to coaching young scientists. It is one of the pluralistic theories toward intelligence while supporting to view individuals as active participants during teaching and learning processes which correspond with the applications of…
Discussion of the use of virtual reality in higher education looks at how this emerging computer-based technology can promote learning that engages all seven forms of intelligence proposed in H. Gardner's theory of multiple intelligences. Technical and conceptual issues in implementation of virtual reality in education are also examined.…
Full Text Available One of the implementations of Multiple Intelligences (MI theory is to view all students intelligent in their own talents. This concept has replaced the concept of intelligence Quotient (IQ which unconsciously has differentiated students to be intelligent and stupid. This concept, in the past, became one of the barriers for the â€œstupidâ€ students to get their education appropriately, and this was clearly to be in the contrary with the philosophy of Education for All (EFA, for every student, whatever their â€œintelligencesâ€ are, has his/her right to get the basic education. The advantage of the implementation of â€œMultiple Intelligencesâ€ concept on learning instruction is that this concept uses developmental approach, therefore it focuses more on the studentsâ€™ strengths to be developed; while the concept of â€œIntellectual Intelligenceâ€ still usesÂ remedial approach, therefore it focuses more on the studentsâ€™ weaknesses to be remedied. This approach is also in the contrary with the learning principle of the Behaviorism which considers â€œrewardâ€ in higher priority than â€œpunishmentâ€ in learning process. This article discusses the concept of MI, how to stimulate it, and its implementation on learning instruction. Keywords: Multiple Intelligences, stimulate, implementation on learning instruction
Strecker, Catherine Hunt
The purpose of this qualitative case study was to gain a clear understanding of the manner in which fourth-grade students attending a Kansas elementary school learn when engaged in science activities grounded in H. Gardner's book, Frames of mind the theory of multiple intelligences (1983). The significance of this research lies in the discovery of the difference between teaching practice grounded in multiple intelligences versus that based upon traditional theory. Teacher self-perceptions with regard to the effectiveness of their instruction and student assessment within the classroom were also explored. The research evaluated the overall effectiveness of both traditional curriculum delivery and that rooted in the concept of multiple intelligences.
Full Text Available In the last years the Theory of the Multiple Intelligences developed by Howard Gardner has had a tremendous impact in elementary and secondary classrooms in the United States. Gardner(1983 defines intelligence as the ability to solve a problem or fashion a product that is valued in one or more cultural settings. His definition expands our understanding of "intelligence" beyond the familiar linguistic and Logical-mathematical intelligences, to include the spatial, musical,bodily-kinesthetic, naturalist. interpersonal, and intrapersonal intelligences. This new wayof conceptualizing human intelligence has profound implications for educators whose task needs to include the identification and nourishment of the different talents brought by al students.
Madkour, Magda; Mohamed, Rafik Ahmed Abdel Moati
While most research studies on the theory of multiple intelligences focused on the application of the multiple intelligences domains as separate components, this quasi-experimental research targeted the effect of multiple intelligences as integrated abilities for teaching and learning English at higher education. The purpose of this study was to…
Smith, Andrew C
Full Text Available Conference Proceedings Paul Cunningham and Miriam Cunningham (Eds) IIMC International Information Management Corporation, 2011 ISBN: 978-1-905824-24-3 An Intelligent Fractions Learning System: Implementation Andrew Cyrus SMITH1, Teemu H. LAINE2 1CSIR... to fractions. Our aim with the current research project is to extend the existing UFractions learning system to incorporate automatic data capturing. ?Intelligent UFractions? allows a teacher to remotely monitor the children?s progress during...
Full Text Available The article clarifies Howard Gardner’s Multiple Intelligence theory. He states that the theory serves nine kinds of intelligences---linguistic, logical-mathematical, spatial, bodilykinestheticc, musical, interpersonal, intrapersonal, naturalistic, and existential. The theory claims that infants have different intelligences, moreover it influences learning orientation. It enables students to comprehend the subjects more easily, if the subjects are presented based on the students’ potencies. Yet, it is important for the teachers to understand the theory to accelerate the learning process and output.
Khataybeh, Abdalla; Al-Sheikh, Kholoud
The present study aimed at investigating different intelligence types among Jordanian students at different public and private universities in Jordan. To achieve such aim, it sought to identify and rank multiple intelligences that characterize students at Jordanian universities, and to identify and rank the differences in multiple intelligences…
Full Text Available This article explores the reasons that make it advantageous to develop learning programmes which draw on the theory of multiple intelligences (MI. A unitary view of intelligence privileges analytic/linguisticallygifted learners. The theory of MI, on the other hand, takes account of the diversity of learners and challenges educators to provide opportunities for them to use their varied intelligences.The outline of each of the eight intelligences demonstratesthe many ways in which learners can demonstrate their ability to excel. Application of these insights can complement the kind of transformatoryeducation envisaged in the Department of Education policy documents. MI translated into school practice has taken a variety of forms: project-basedapproaches, interdisciplinarycurriculums, entry points to lesson plans and complex assessments are only some of these. Ordinary classroom teachers can create diverse opportunities for all learners to enjoy a high measure of success.Hierdie artikel ondersoek die redes waarom dit voordelig is om leerprogramme te ontwikkel wal gebaseer is op idees uit die leorie van meervoudige intelligensies (MI.'n Unitêre siening van intelligensiebevoordeel analities- en taalbegaafde-leerders.Die MI-teorie, daarenleen neem die ongelyksoortigheidvan die leerders in ag en daag opvoeders uit om geleenthede te skep vir die leerlinge om verskeie van hulle intelligensies te gebruik. Die omskrywing van elk van die agt soorte intelligensies demonstreer die talryke-maniere waarop leerders hulle vermoë om uit te blink kan bewys.Die toepassing van hierdie insigte kan bydra tot die transformerendeaard van die opvoeding wat met die Departmentvan Opvoedkunde se beleidsdokumentebeoog word.MI toegepas in skoolpraktykneem verskillendevorms aan: projek-gebaseerdebenaderinge;interdissiplinêrekurrikulums; loelreepunte vir lesplanne en veelsydige assessering, om maar 'n paar te noem.Gewone klas-onderwysers kan 'n verskeidenheid geleenthede skep
Glick, Beatriz Garcia; Armstrong, Joyce; Marchese, Marc
According to the Theory of Multiple Intelligences of Howard Gardner, there are eight intelligences. In the present study with two FLES classes, 35 students were asked to present Spanish vocabulary to their class to link their preferences of techniques used to introduce the vocabulary to their classmates with a spectrum of their multiple…
The theory of multiple intelligences (MI) seeks to describe and encompass the range of human cognitive capacities. In challenging the concept of general intelligence, we can apply an MI perspective that may provide a more useful approach to cognitive differences within and across species.
Reiff, Judith C.
Suggests that teachers can share information with parents about multiple intelligences and encourage parents to provide activities to nurture their child's own intelligences. Provides teachers with instructional strategies and parents with activities related to linguistic, logical-mathematical, spatial, musical, bodily-kinesthetic, interpersonal,…
Abstract The concept of multiple intelligences which is focused on the uniqueness is always find the advantages of each child. The Purpose of this study is find out the Implementation of learning strategy in multiple intelligences practiced in Madrasah Tsanawiyah Ummusshabri, Kendari. The results indicate some facts: 1) the basic implementation of learning strategy base on multiple intelligences are orientation, content and curriculum development of KTSP; 2) the conceptual framework of...
Full Text Available The present study was realized in a Greek 6th grade State Primary School class and was based on Howard Gardner’s theory of multiple intelligences, which was first introduced in 1983. More particularly, it was explored to what extent the young learners possess multiple intelligences through the use of a specially-designed questionnaire and a series of interviews. The findings of the above have served as a tool to the construction of a project work based on students’ learning preferences within a cross-curricular framework, easily applicable to the Greek State School curriculum. All learners were activated to participate within a school environment that traditionally promotes linguistic and mathematical skills matching dominant multiple intelligences or a combination of some of them to thematic units already taught by Greek teachers. The suggested project was assessed through observation and student portfolio, showing that the young learners’ multiple intelligences were exploited to a great extent, promoting the learning process satisfactorily. The results of this study can provide a contribution to the literature of multiple intelligences in the Greek reality and suggest a need for further consideration and exploration in the field. Finally, the researcher of this study hopes the present work could function as a springboard for more elaborated studies in the future.
del Moral-Pérez, Mª Esther; Fernández-García, Laura Carlota; Guzmán-Duque, Alba Patricia
Introduction: Our research focused on studying the extent to which the planned, systematic use of educational videogames can result in the generation of learning contexts conducive to developing Multiple Intelligences (MIs) amongst schoolchildren. Methodology: A twofold methodological approach was adopted: a) qualitative: previous assessment and…
Hall, Ernest L.; Liao, Xiaoqun; Alhaj Ali, Souma M.
Unlike intelligent industrial robots which often work in a structured factory setting, intelligent mobile robots must often operate in an unstructured environment cluttered with obstacles and with many possible action paths. However, such machines have many potential applications in medicine, defense, industry and even the home that make their study important. Sensors such as vision are needed. However, in many applications some form of learning is also required. The purpose of this paper is to present a discussion of recent technical advances in learning for intelligent mobile robots. During the past 20 years, the use of intelligent industrial robots that are equipped not only with motion control systems but also with sensors such as cameras, laser scanners, or tactile sensors that permit adaptation to a changing environment has increased dramatically. However, relatively little has been done concerning learning. Adaptive and robust control permits one to achieve point to point and controlled path operation in a changing environment. This problem can be solved with a learning control. In the unstructured environment, the terrain and consequently the load on the robot"s motors are constantly changing. Learning the parameters of a proportional, integral and derivative controller (PID) and artificial neural network provides an adaptive and robust control. Learning may also be used for path following. Simulations that include learning may be conducted to see if a robot can learn its way through a cluttered array of obstacles. If a situation is performed repetitively, then learning can also be used in the actual application. To reach an even higher degree of autonomous operation, a new level of learning is required. Recently learning theories such as the adaptive critic have been proposed. In this type of learning a critic provides a grade to the controller of an action module such as a robot. The creative control process is used that is "beyond the adaptive critic." A
Almeida, Leandro S.; Prieto, Maria Dolores; Ferreira, Aristides I.; Bermejo, Maria Rosario; Ferrando, Mercedes; Ferrandiz, Carmen
In the multiple intelligence framework, newer and more contextualized cognitive tasks are suggested as alternative to more traditional psychometric tests. The purpose of this article is to examine whether or not these two types of instruments converge into a general factor of cognitive performance. Thus, the Battery of General and Differential…
Mohd Ali Samsudin
Full Text Available This study was undertaken to identify the relationship between multiple intelligences with preferred science teaching and science process skills. The design of the study is a survey using three questionnaires reported in the literature: Multiple Intelligences Questionnaire, Preferred Science Teaching Questionnaire and Science Process Skills Questionnaire. The study selected 300 primary school students from five (5 primary schools in Penang, Malaysia. The findings showed a relationship between kinesthetic, logical-mathematical, visual-spatial and naturalistic intelligences with the preferred science teaching. In addition there was a correlation between kinesthetic and visual-spatial intelligences with science process skills, implying that multiple intelligences are related to science learning.
Mahmoud Abdi Tabari
Full Text Available The major thrust of this research was to investigate the cognitive aspect of the high school textbooks and interchange series, due to their extensive use, through content analysis based on Bloom's taxonomy and Gardner's Multiple Intelligences (MI. This study embraced two perspectives in a grid in order to broaden and deepen the analysis by determining the numbers and the types of intelligences with respect to their learning objectives tapped in the textbooks and comparing them. Through codification of Bloom’s learning objectives and Gardner's MI, the results showed that there was a significant difference between the numbers of intelligences with respect to their learning objectives in the textbooks. However, the interchange series enjoyed a large number of the spatial and the interpersonal intelligences across eight levels of learning objectives, whereas they had the least number of the intrapersonal, the musical, and the bodily-kinesthetic intelligences across knowledge understanding and application levels. Keywords: learning objectives, multiple intelligences, textbook analysis
Sanan Shero Malo Zebari
Full Text Available The present study aimed to set a plan for teaching EFL classes based on the identification of university students’ dominant multiple intelligences in EFL classes, and the differences in the types of intelligence between female and male students in terms of their gender. The problem the present study aimed to address is that the traditional concept that “one size fits all” is still adopted by many EFL teachers, and that EFL students’ differences and preferences are noticeably unheeded. It is believed that identifying students’ dominant intelligences is a sound remedial solution for such a problem before embarking on any teaching program. Moreover, getting students aware of their different types of intelligence will motivate and encourage them in the classroom. The researchers used a questionnaire as a research instrument for data collection. The results arrived at showed that there were no significant differences in the types of intelligence between female and male students in terms of their gender, except for bodily- kinesthetic intelligence. They also showed that the dominant intelligences were ranked from the highest to the lowest as follows interpersonal, linguistic, spatial, logical-mathematical, bodily kinesthetic, intrapersonal, musical, and naturalistic.
Mirzaei, Azizullah; Rahimi Domakani, Masoud; Heidari, Najmeh
Over the years, the multiple intelligences theory (MIT) proposed by Howard Gardner has renewed interest in learners' use of effective learning strategies and produced interesting results. This MIT-oriented study investigated the role of successful L2 readers' multiple intelligences in their effective use of reading strategies. To this end, a TOEFL…
In his closing comments, Howard Gardner discusses the various audiences that have emerged over the years for the theory of multiple intelligences. Under that rubric, he places the various papers in this issue and speculates about future lines of work on MI theory.
Tamilselvi, B.; Geetha, D.
Multiple intelligence is the theory that "people are smart in more ways than one has immense implication for educators". Howard Gardner proposed a new view of intelligence that is rapidly being incorporated in school curricula. In his theory of Multiple Intelligences, Gardner expanded the concept of intelligence with such areas as music,…
Zysberg, Leehu; Kasler, Jon
The literature is conflicted around the subject of the emotional abilities of individuals with Specific Learning Disabilities (SLDs): While many claim cognitive challenges are associated with emotional difficulties, some suggest emotional and interpersonal abilities are not compromised in such disorders and may help individuals compensate and cope effectively with the challenges they meet in learning environments. Two studies explored differences in emotional intelligence (EI) between young adults with and without SLD. Two samples (matched on gender, approximate age, and program of study; n = 100, and unmatched; n = 584) of college students took self-report and performance-based tests of EI (Ability-EI) as well as a measure of self-esteem and demographics associated with college performance (e.g.: SAT scores, gender, etc.). The results showed that while SAT scores and ability emotional intelligence (Ability-EI) were associated with college GPA, Ability-EI did not differ between the two groups, while self-report measures of EI and self-esteem did show differences, with the group with learning disabilities ranking lower. The effects remained stable when we controlled for demographics and potential intervening factors. The results suggest that EI may play a protective role in the association between background variables and college attainment in students with SLD. The results may provide a basis for interventions to empower students with SLD in academia.
Lopes, Manuel; Montesano, Luis
In this survey we present different approaches that allow an intelligent agent to explore autonomous its environment to gather information and learn multiple tasks. Different communities proposed different solutions, that are in many cases, similar and/or complementary. These solutions include active learning, exploration/exploitation, online-learning and social learning. The common aspect of all these approaches is that it is the agent to selects and decides what information to gather next. ...
Vigih Hery Kristanto
Full Text Available The purpose of this research is to know the validity of Lesson Plan based on multiple intelligences for learning mathematics in junior high school students. This research is a simple research with qualitative type. The validity of Lesson Plan is seen through two aspects, namely the linguistic aspect and the substance (content aspect. Thus, the instrument used in this research is the Linguistic Aspects Validation Guidance and the Substance Validation Guidelines (contents Guidance. Validation is done by two validators Lingusitic expert field and Mathematics expert field. The results showed that the validity of linguistic aspects of 3.35 and the validity of the substance (content of 3.82, so it can be concluded Lesson Plan based multiple intelligences for learning mathematics in junior high school students who have been compiled valid based on the language aspect. In addition, Lesson Plan based multiple intelligences for learning mathematics in junior high school students who have been compiled valid based on aspects of substance (content.
Full Text Available This article is to describe the concept and the theory of Multiple Intelligences developd by Howard Gardner. Furthermore, it tries to explain how they are applied in the classroom in the Islamic education learning. The theory is the development of doubled-intelligences theory stating that human have different intelligences. Gardner argues that human are endowed eight intelligences---linguistic, natural, logic-mathematic, interpersonal, intrapersonal, spatial, musical, and natural. In educational context, Gardner’s theory effects the learning practice in school as well as the parents treatment to the children in the house. In practice, learning is demanded to develop each intelligence and use any kinds of intelligences to measure the students’ intelligence.
The purpose of this research is to analyze the multiple intelligence levels of academies of physical education and sports students according to some demographic factors. To obtain data about multiple intelligence levels in the research, the multiple intelligence inventory, developed by Ozden (2003), was applied to a total of 1.199 students, of…
Banerjee, R; Bradshaw, Gary; Carbonell, Jaime Guillermo; Mitchell, Tom Michael; Michalski, Ryszard Spencer
Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an artificial intelligence perspective. The book is organized into six parts. Part I provides an overview of machine learning and explains why machines should learn. Part II covers important issues affecting the design of learning programs-particularly programs that learn from examples. It also describes inductive learning systems. Part III deals with learning by analogy, by experimentation, and from experience. Parts IV a
Explains the Artificial Intelligence Applications to Learning Programme, which was developed in the United Kingdom to explore and accelerate the use of artificial intelligence (AI) technologies in learning in both the educational and industrial sectors. Highlights include program evaluation, marketing, ownership of information, consortia, and cost…
Fardinpour, Ali; Pedram, Mir Mohsen; Burkle, Martha
Virtual Learning Environments have been the center of attention in the last few decades and help educators tremendously with providing students with educational resources. Since artificial intelligence was used for educational proposes, learning management system developers showed much interest in making their products smarter and more…
Full Text Available The study was conducted on a sample of children at the Lăpuş School with classes I-VIII, using the teaching/learning process of the biology disciplines. A key element in applying the theory of Multiple Intelligence in a classroom is knowing the intelligence profile of children. Differentiated teaching approach was designed based on the predominant types of intelligences. For this purpose we used various methods: questionnaire, observation of children as they are given various tasks, interview, development of projects, role play, the biographical method-personal history of child, analysis of activities' results (compositions, drawings, collages, portfolios, debates in pair-groups, and case studies. In child’s profile, (types of intelligences become qualities that we capitalize in training, designing different teaching approach depending on predominant types of intelligences. The results appeared without delay. After a school's year that we worked differently with the children, they have improved school performance and became more interested in the study of biological disciplines thus arousing their curiosity and respect towards life.
Ozdemir, Ali; Alaybeyoglu, Aysegul; Mulayim, Naciye; Uysal, Muhammed
In this study, an intelligent system which determines learning style of the students is developed to increase success in effective and easy learning. The importance of the proposed software system is to determine convenience degree of the student's learning style. Personal information form and Dunn Learning Style Preference Survey are used to…
Emmiyati, Nuri; Rasyid, Muhammad Amin; Rahman, M. Asfah; Arsyad, Azhar; Dirawan, Gufran Darma
This study aimed to investigate the Multiple Intelligences profiles of the students at junior secondary school in Makassar. The Multiple Intelligences Inventory was used to identify the dominant intelligence among the students. The sample of this research was 302 junior secondary schools students in Makassar Indonesia who willing to participated…
Full Text Available E-learning is basically the integration of various technologies. E-Learning technology is now maturing and we can find a multiplicity of standards. New technologies such as agents and web services are promising better results. In this paper we have proposed an e-learning architecture that is dependent on intelligent agent systems and web services. These communication technologies will make the architecture more robust, scalable and efficient.
Xhafa, Fatos [Polytechnic Univ. of Catalonia, Barcelona (Spain). Dept. of Languages and Informatics Systems; Caballe, Santi; Daradoumis, Thanasis [Open Univ. of Catalonia, Barcelona (Spain). Dept. of Computer Sciences Multimedia and Telecommunications; Abraham, Ajith [Machine Intelligence Research Labs (MIR Labs), Auburn, WA (United States). Scientific Network for Innovation and Research Excellence; Juan Perez, Angel Alejandro (eds.) [Open Univ. of Catalonia, Barcelona (Spain). Dept. of Information Sciences
E-Learning has become one of the most wide spread ways of distance teaching and learning. Technologies such as Web, Grid, and Mobile and Wireless networks are pushing teaching and learning communities to find new and intelligent ways of using these technologies to enhance teaching and learning activities. Indeed, these new technologies can play an important role in increasing the support to teachers and learners, to shorten the time to learning and teaching; yet, it is necessary to use intelligent techniques to take advantage of these new technologies to achieve the desired support to teachers and learners and enhance learners' performance in distributed learning environments. The chapters of this volume bring advances in using intelligent techniques for technology enhanced learning as well as development of e-Learning applications based on such techniques and supported by technology. Such intelligent techniques include clustering and classification for personalization of learning, intelligent context-aware techniques, adaptive learning, data mining techniques and ontologies in e-Learning systems, among others. Academics, scientists, software developers, teachers and tutors and students interested in e-Learning will find this book useful for their academic, research and practice activity. (orig.)
Abbas Ali Zarei
Full Text Available Abstract: The present study was conducted to investigate types of Multiple Intelligences as predictors of reading comprehension and vocabulary knowledge. To meet this objective, a 60-item TOEFL test and a 90-item multiple intelligences questionnaire were distributed among 240 male and female Iranians studying English at Qazali and Parsian Universities in Qazvin. Data were analyzed using a multiple regression procedure. The result of the data analysis indicated that musical, interpersonal, kinesthetic, and logical intelligences were predicators of reading comprehension. Moreover, musical, verbal, visual, kinesthetic and natural intelligences made significant contributions to predicting vocabulary knowledge. Key words: Multiple intelligences, reading comprehension, vocabulary knowledge.
Full Text Available According to Howard Gardner, human intellectual ability cannot be measured by a unitary concept of general intelligence, and the performance of cognitive tasks draws on different types of intelligence, including linguistic, logical-mathematical, musical, spatial, bodily-kinaesthetic, interpersonal, intrapersonal, natural, and existential. Despite the lack of adequate empirical support and recent doubts raised about its validity, this view of multiple intelligences has been extensively employed for the characterization of learners and the development of tasks for language teaching and learning. Whereas gender differences in the learning and use of language have been extensively researched, context-specific information on gender differences in different domains of multiple intelligences has not been seriously examined. The survey reported here is based on the hypothesis that multiple intelligences vary not only at the individual level, but also in the case of gender at a cultural level, and uses Mckenzie's Multiple Intelligences Survey to explore possible gender differences in Gardner’s intelligences. Questionnaire data relating to each of the nine intelligences was elicited from 300 undergraduate volunteers studying English at the University of Kashan in central Iran. The questionnaire included 90 statements and 10 items on each intelligence, and was used to identify the intelligence profile of the participants according to their own self-estimates. The scores for each intelligence type were calculated, analyzed and compared across genders. The results of the study showed that in contrast to the trend observed in previous research, female learners tended to rate themselves higher on most intelligences and their means were significantly higher than those of male learners in the areas of naturalistic and existential intelligences. The findings have both theoretical and practical implications not only for the reconsideration of previous claims
Vasiliy M. Trembach
Full Text Available In the article issues of engineering intelligent tutoring systems of University with adaptation are considered. The article also dwells on some modern approaches to engineering of information systems. It shows the role of engineering e-learning devices (systems in system engineering. The article describes the basic principles of system engineering and these principles are expanded regarding to intelligent information systems. The structure of intelligent learning systems with adaptation of the individual learning environments based on services is represented in the article.
Peters, Richard Alan, II (Inventor)
An architecture for robot intelligence enables a robot to learn new behaviors and create new behavior sequences autonomously and interact with a dynamically changing environment. Sensory information is mapped onto a Sensory Ego-Sphere (SES) that rapidly identifies important changes in the environment and functions much like short term memory. Behaviors are stored in a database associative memory (DBAM) that creates an active map from the robot's current state to a goal state and functions much like long term memory. A dream state converts recent activities stored in the SES and creates or modifies behaviors in the DBAM.
Luu, Trong Tuan
Purpose: This research aims to examine whether there is the chain effect from corporate social responsibility (CSR) and emotional intelligence (EI) to organizational learning and competitive intelligence in chemical companies in a Vietnam business setting. Design/methodology/approach: Structural equation modeling (SEM) approach was used to analyze…
Full Text Available After Gardner’s Multiple Intelligences Theory (MIT, some language teaching practitioners set out to teach students in a way to help their dominant intelligence(s blossom. In an EFL context, usually teachers’ main focus is to develop communication skills. Nowadays, writing is one of the main ways by which people communicate. Thus, this study aimed at investigating possible relationship between Multiple Intelligences and writing performance of Iranian EFL learners across different genders. To conduct this study, 15 male and 15 female advanced EFL learners from a reputable institute in Tabriz participated. They passed through a placement test to enter the course, yet the researchers administered a Test of English as a Foreign Language (TOEFL to ensure homogeneity in the group. After a session of introducing the project’s purpose, Multiple Intelligence Developmental Assessment (MIDAS questionnaire was administered for obtaining participants’ Multiple Intelligence profile. Later, the participants were given a text and asked to read and summarize it. The collected writings were analyzed for grammatical accuracy, complexity and quality of the writing based on Jacob et al.’s (1981 scale. The results of the correlational analysis revealed that overall Multiple Intelligences correlated positively with the quality of the female learners’ writing. The findings suggest that English teachers consider the role of multiple intelligences in learning and teaching process and provide more effective activities to help learners of different intelligences improve their foreign language writing skill.
Kurniawan, A.; Rustaman, N. Y.; Kaniawati, I.; Hasanah, L.
The purpose of this study is to obtain a profile picture of cognitive ability and multiple intelligence of students on physics learning activities in relation to the discourse of conservation of electrical energy. Research activities are conducted in the even semester of the 2015/2016 school year. The subjects of the study were the students of class XI (36 students) in one of the state vocational schools in Bandung consisting of one class chosen at random (cluster random sampling). Research data in the form of cognitive ability test results and multiple intelligences are analyzed descriptively and qualitatively. Research data is then analyzed and compared with predetermined success indicators. The results showed that the cognitive abilities profile of students in vocational schools in Bandung is still low. This can be seen from the average score of cognitive ability of students in remember (C1) of 57.75, understanding (C2) of 53.50, applying (C3) of 43.75, and analyzing (C4) of 37.75. The multiple intelligence profiles indicate frequency of linguistic intelligence number 9 students, musical intelligence 3 students, logical mathematical intelligence 13 students, spatial intelligence 7 students, kinesthetic intelligence 5 students, intrapersonal intelligence 7 students, interpersonal intelligence 6 students, and naturalistic intelligence 5 students.
Duffy, S. M.; Duffy, Alex
In this paper the need for Intelligent Computer Aided Design (Int.CAD) to jointly support design and learning assistance is introduced. The paper focuses on presenting and exploring the possibility of realizing ''learning'' assistance in Int.CAD by introducing a new concept called Shared Learning...
Peariso, Jamon F.
Howard Gardner's Multiple Intelligences (MI) theory has been widely accepted in the field of education for the past two decades. Most educators have been subjugated to the MI theory and to the many issues that its implementation in the classroom brings. This is often done without ever looking at or being presented the critic's view or research on…
Vostroknutov, Alexander; Polonio, Luca; Coricelli, Giorgio
Studies in cultural evolution have uncovered many types of social learning strategies that are adaptive in certain environments. The efficiency of these strategies also depends on the individual characteristics of both the observer and the demonstrator. We investigate the relationship between intelligence and the ways social and individual information is utilised to make decisions in an uncertain environment. We measure fluid intelligence and study experimentally how individuals learn from observing the choices of a demonstrator in a 2-armed bandit problem with changing probabilities of a reward. Participants observe a demonstrator with high or low fluid intelligence. In some treatments they are aware of the intelligence score of the demonstrator and in others they are not. Low fluid intelligence individuals imitate the demonstrator more when her fluid intelligence is known than when it is not. Conversely, individuals with high fluid intelligence adjust their use of social information, as the observed behaviour changes, independently of the knowledge of the intelligence of the demonstrator. We provide evidence that intelligence determines how social and individual information is integrated in order to make choices in a changing uncertain environment.
Early Childhood Today, 2005
In his "Theory of Multiple Intelligences," Dr. Howard Gardner expands the concept of intelligence to include such areas as music, spatial relations, and interpersonal knowledge in addition to the traditional view of two intelligences--mathematical and linguistic. Using biological as well as cultural research, Gardner formulated a list of seven…
Full Text Available In this study, the perfectionism levels of 181 sixth, seventh, and eighth grade gifted students’ were investigated in terms of multiple intelligences. In the study a relational screening model, Survey of Positive and Negative Perfectionism, developed by Kırdök (2004, was used to assess the level of the students’ positive and negative perfectionism. The Multiple Intelligences Inventory, developed by Saban (2001, was used to determine the students’ multiple intelligences, and a personal information form was implemented to obtain socio-demographic data. The results of the study showed that [verbal-linguistic intelligence, mathematical-logical intelligence, and intrapersonal intelligence] [intrapersonal intelligence, mathematical-logical intelligence, and verbal-linguistic intelligence] predicted 34% of the students’ perfectionism levels (p<.001. The explanatory power of the scores in multiple intelligences over negative perfectionism was not found to be statistically significant for any of the sub-dimensions. In order to develop gifted students’ positive perfectionism qualifications, assuming that multiple intelligences can be used as a tool, some suggestions were presented for researchers, counselors, and teachers.
Fasni, Nurli; Fatimah, Siti; Yulanda, Syerli
This research aims to achieve some purposes such as: to know whether mathematical problem solving ability of students who have learned mathematics using Multiple Intelligences based teaching model is higher than the student who have learned mathematics using cooperative learning; to know the improvement of the mathematical problem solving ability of the student who have learned mathematics using Multiple Intelligences based teaching model., to know the improvement of the mathematical problem solving ability of the student who have learned mathematics using cooperative learning; to know the attitude of the students to Multiple Intelligences based teaching model. The method employed here is quasi-experiment which is controlled by pre-test and post-test. The population of this research is all of VII grade in SMP Negeri 14 Bandung even-term 2013/2014, later on two classes of it were taken for the samples of this research. A class was taught using Multiple Intelligences based teaching model and the other one was taught using cooperative learning. The data of this research were gotten from the test in mathematical problem solving, scale questionnaire of the student attitudes, and observation. The results show the mathematical problem solving of the students who have learned mathematics using Multiple Intelligences based teaching model learning is higher than the student who have learned mathematics using cooperative learning, the mathematical problem solving ability of the student who have learned mathematics using cooperative learning and Multiple Intelligences based teaching model are in intermediate level, and the students showed the positive attitude in learning mathematics using Multiple Intelligences based teaching model. As for the recommendation for next author, Multiple Intelligences based teaching model can be tested on other subject and other ability.
Masoud Khalili Sabet
Full Text Available With developments in psychology and cognitive sciences in recent years, the significance of individual differences in L2 pedagogy has been highlighted. One of the outcomes of attending to individual differences is the increased attention to the concept of multiple intelligences and its relationship with language learning and different skills including reading comprehension skill. On the same line, the present study aimed at investigating the relationship between multiple intelligences of a group of L2 learners and their reading comprehension ability. To this purpose, 157 medical students studying at the Guilan University of Medical Sciences participated in the study. The instruments utilized were Multiple Intelligences Developmental Assessment Scales (MIDAS and a reading comprehension test. The findings revealed that among the components of multiple intelligences of the medical students verbal-linguistic intelligence was prevalent. Furthermore, results of Pearson correlation demonstrated a positive but weak relationship between medical students’ MI and their reading comprehension ability. The findings also indicated that there is no difference between male and female medical students except in naturalistic intelligence. These findings further pinpoint the importance of attending to multiple intelligences of L2 learners and devising lessons which take their individual differences into account. Keywords: Multiple intelligences, reading comprehension, medical students, gender, EFL
Alharbi, Mafawez; Jemmali, Mahdi
Many institutions and university has forced to use e learning, due to its ability to provide additional and flexible solutions for students and researchers. E-learning In the last decade have transported about the extreme changes in the distribution of education allowing learners to access multimedia course material at any time, from anywhere to suit their specific needs. In the form of e learning, instructors and learners live in different places and they do not engage in a classroom environment, but within virtual universe. Many researches have defined e learning based on their objectives. Therefore, there are small number of e-learning architecture have proposed in the literature. However, the proposed architecture has lack of embedding intelligent system in the architecture of e learning. This research argues that unexplored potential remains, as there is scope for e learning to be intelligent system. This research proposes e-learning architecture that incorporates intelligent system. There are intelligence components, which built into the architecture.
Amin, Hafeez Ullah; Malik, Aamir Saeed; Kamel, Nidal; Chooi, Weng-Tink; Hussain, Muhammad
Educational psychology research has linked fluid intelligence with learning and memory abilities and neuroimaging studies have specifically associated fluid intelligence with event related potentials (ERPs). The objective of this study is to find the relationship of ERPs with learning and memory recall and predict the memory recall score using P300 (P3) component. A sample of thirty-four healthy subjects between twenty and thirty years of age was selected to perform three tasks: (1) Raven's Advanced Progressive Matrices (RAPM) test to assess fluid intelligence; (2) learning and memory task to assess learning ability and memory recall; and (3) the visual oddball task to assess brain-evoked potentials. These subjects were divided into High Ability (HA) and Low Ability (LA) groups based on their RAPM scores. A multiple regression analysis was used to predict the learning & memory recall and fluid intelligence using P3 amplitude and latency. Behavioral results demonstrated that the HA group learned and recalled 10.89 % more information than did the LA group. ERP results clearly showed that the P3 amplitude of the HA group was relatively larger than that observed in the LA group for both the central and parietal regions of the cerebrum; particularly during the 300-400 ms time window. In addition, a shorter latency for the P3 component was observed at Pz site for the HA group compared to the LA group. These findings agree with previous educational psychology and neuroimaging studies which reported an association between ERPs and fluid intelligence as well as learning performance. These results also suggest that the P3 component is associated with individual differences in learning and memory recall and further indicate that P3 amplitude might be used as a supporting factor in standard psychometric tests to assess an individual's learning & memory recall ability; particularly in educational institutions to aid in the predictability of academic skills.
Bemani Naeini, Ma'ssoumeh
Gardner's Multiple Intelligences Theory (MIT), however having been embraced in the field of language acquisition, has apparently failed to play a role in research on learning styles as an alternative construct. This study aims at examining the potential effects of MI-based activities, as learning styles, on the listening proficiency of Iranian…
This study is thereby built on the premise that EFL readers' metacognitive awareness of reading strategies was also influenced by their multiple intelligence profiles. The purpose of this study is to explore the integrated impact of multiple intelligences and reading strategies on EFL learners' reading performance. This was an ...
Tamez, Elaine; Myerson, Joel; Hale, Sandra
Based on early findings showing low correlations between intelligence test scores and learning on laboratory tasks, psychologists typically have dismissed the role of learning in intelligence and emphasized the role of working memory instead. In 2006, however, B.A. Williams developed a verbal learning task inspired by three-term reinforcement contingencies and reported unexpectedly high correlations between this task and Raven's Advanced Progressive Matrices (RAPM) scores [Williams, B.A., Pearlberg, S.L., 2006. Learning of three-term contingencies correlates with Raven scores, but not with measures of cognitive processing. Intelligence 34, 177-191]. The present study replicated this finding: Performance on the three-term learning task explained almost 25% of the variance in RAPM scores. Adding complex verbal working memory span, measured using the operation span task, did not improve prediction. Notably, this was not due to a lack of correlation between complex working memory span and RAPM scores. Rather, it occurred because most of the variance captured by the complex working memory span was already accounted for by the three-term learning task. Taken together with the findings of Williams and Pearlberg, the present results make a strong case for the role of learning in performance on intelligence tests.
Magaly Hernández Más
Full Text Available La Pedagogía se enfrenta a un gran reto en estos momentos y éste es dirigir el proceso enseñanza aprendizaje de forma tal que el educando desarrolle un pensamiento reflexivo, crítico, que pueda aplicar, desde el punto de vista cognoscitivo, estrategias para aprender por sí mismo. El presente artículo aborda las estrategias de aprendizaje-enseñanza en una taxonomía general que permite tanto al profesor como al estudiante tener una comprensión cabal de este fenómeno dentro del proceso de enseñanza aprendizaje. Además se valora el papel de las inteligencias múltiples en este proceso. Ambos aspectos juegan un rol decisivo en el entorno didáctico y pedagógico de hoy cuando la universalización de la enseñanza se convierte en una realidad en la educación cubana actual y muy en especial en los centros de educación superior del paísThe teaching process has a new challenge nowadays: that of conducting the process in such a way that the students develop critical thinking abilities that allow them to learn for themselves. This paper presents a general taxonomy of learning strategies that will permit both students and teachers to have a more comprehensive background of this pedagogical issue. It also illustrates the role played by multiple intelligences in the teaching and learning process. These two aspects are now of key importance in the light of the most recent advances of education in Cuba, especially at higher education centers.
Hansen, Keith A.
Intelligence agencies play a fundamental role in the prevention of nuclear proliferation, as they help to understand other countries' intentions and assess their technical capabilities and the nature of their nuclear activities. The challenges in this area remain, however, formidable. Past experiences and the discoveries of Iraq's WMD programs, of North Korean nuclear weapon program, and of Iranian activities, have put into question the ability of intelligence to monitor small, clandestine proliferation activities from either states or non-state entities. This Proliferation Paper analyzes the complex challenges intelligence faces and the various roles it plays in supporting national and international nuclear non-proliferation efforts, and reviews its track record. In an effort to shed light on the role and contribution of intelligence in national and international efforts to halt, if not prevent, further nuclear weapon proliferation, this paper first analyzes the challenges intelligence faces in monitoring small, clandestine proliferation activities and the role it plays in supporting non-proliferation efforts. It then reviews the intelligence track record in monitoring proliferation including the lessons learned from Iraq. Finally, it addresses whether it is possible for intelligence to accurately monitor future clandestine proliferation efforts. (author)
Abbas Ali Zarei; Nima Shokri Afshar
Abstract: The present study was conducted to investigate types of Multiple Intelligences as predictors of reading comprehension and vocabulary knowledge. To meet this objective, a 60-item TOEFL test and a 90-item multiple intelligences questionnaire were distributed among 240 male and female Iranians studying English at Qazali and Parsian Universities in Qazvin. Data were analyzed using a multiple regression procedure. The result of the data analysis indicated that musical, interpersonal, kin...
This core assessment provides an overview and training of the use of Emotional Intelligence (EI) in the workplace. It includes a needs analysis for a local Chamber of Commerce, and outlines the importance of improving their organizational communication with the improvement of their EI. Behavioral objectives related to the skills needed are…
Tan, Yin Leng; Macaulay, Linda A.
Employers increasingly demand not only academic excellence from graduates but also excellent interpersonal skills and the ability to work collaboratively in teams. This paper discusses the role of Group Intelligence software in helping to develop these higher order skills in the context of an enquiry based learning (EBL) project. The software supports teams in generating ideas, categorizing, prioritizing, voting and multi-criteria decision making and automatically generates a report of each team session. Students worked in a Group Intelligence lab designed to support both face to face and computer-mediated communication and employers provided feedback at two key points in the year long team project. Evaluation of the effectiveness of Group Intelligence software in collaborative learning was based on five key concepts of creativity, participation, productivity, engagement and understanding.
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.
How can a machine learn from experience? Probabilistic modelling provides a framework for understanding what learning is, and has therefore emerged as one of the principal theoretical and practical approaches for designing machines that learn from data acquired through experience. The probabilistic framework, which describes how to represent and manipulate uncertainty about models and predictions, has a central role in scientific data analysis, machine learning, robotics, cognitive science and artificial intelligence. This Review provides an introduction to this framework, and discusses some of the state-of-the-art advances in the field, namely, probabilistic programming, Bayesian optimization, data compression and automatic model discovery.
How can a machine learn from experience? Probabilistic modelling provides a framework for understanding what learning is, and has therefore emerged as one of the principal theoretical and practical approaches for designing machines that learn from data acquired through experience. The probabilistic framework, which describes how to represent and manipulate uncertainty about models and predictions, has a central role in scientific data analysis, machine learning, robotics, cognitive science and artificial intelligence. This Review provides an introduction to this framework, and discusses some of the state-of-the-art advances in the field, namely, probabilistic programming, Bayesian optimization, data compression and automatic model discovery.
Tsai, Jinn-Tsong; Chou, Ping-Yi; Fang, Jia-Cen
An intelligent genetic algorithm (IGA) is proposed to solve Japanese nonograms and is used as a method in a university course to learn evolutionary algorithms. The IGA combines the global exploration capabilities of a canonical genetic algorithm (CGA) with effective condensed encoding, improved fitness function, and modified crossover and…
The purpose of this study is to investigate locally designed ELT textbooks in the light of multiple intelligences theory. Three textbooks (grade 1.2.3) used in guidance school of Iranian educational system were analyzed using MI checklist developed by Botelho, Mario do Rozarioand. Catered for kinds of intelligences in the activities and exercises…
Eberle, Scott G.
Howard Gardner first posited a list of "multiple intelligences" as a liberating alternative to the assumptions underlying traditional IQ testing in his widely read study "Frames of Mind" (1983). Play has appeared only in passing in Gardner's thinking about intelligence, however, even though play instructs and trains the verbal, interpersonal,…
Matto, Holly; Berry-Edwards, Janice; Hutchison, Elizabeth D.; Bryant, Shirley A.; Waldbillig, Amy
This study surveyed social work educators about the importance of multiple intelligences for social work practice and social work education. The sample consisted of 91 faculty members who responded to an online survey that asked them to rate the importance of 7 intelligences (linguistic, logical-mathematical, musical, bodily-kinesthetic, spatial,…
This article reviews evidence for multiple intelligences theory, the Mozart effect theory, and emotional intelligence theory and argues that despite their wide currency in education these theories lack adequate empirical support and should not be the basis for educational practice. Each theory is compared to theory counterparts in cognitive…
I (Waterhouse, 2006) argued that, because multiple intelligences, the Mozart effect, and emotional intelligence theories have inadequate empirical support and are not consistent with cognitive neuroscience findings, these theories should not be applied in education. Proponents countered that their theories had sufficient empirical support, were…
Ma’ssoumeh Bemani Naeini
Full Text Available Gardner’s Multiple Intelligences Theory (MIT, however having been embraced in the field of language acquisition, has apparently failed to play a role in research on learning styles as an alternative construct. This study aims at examining the potential effects of MI-based activities, as learning styls, on the listening proficiency of Iranian TEFL university students. Based on two assumptions derived from MIT, one of the experimental groups (EG1; N=30 worked on activities across intelligences while the other experimental group (EG2; N=30 focused on the activities related to their most developed intelligence. McKenzie’s (1999 MI Inventory was used to identify the subjects’ preferred intelligences. There was a significant difference between listening scores on TOEFL before and after the intervention of MI-based activities as well as between the two experimental groups, indicating EG1 outperforming EG2. So, as the findings reveal, integration of MIT can significantly contribute to the enhancement of EFL learners’ listening comprehension and the effect is even more significant if teachers practice an integration of all intelligences rather than the most developed ones, only. Keywords: Multiple Intelligences Theory, learning styles, listening proficiency, Iranian EFL context
Sabet, Masoud Khalili; Kiaee, Marjan Mesbah
With developments in psychology and cognitive sciences in recent years, the significance of individual differences in L2 pedagogy has been highlighted. One of the outcomes of attending to individual differences is the increased attention to the concept of multiple intelligences and its relationship with language learning and different skills…
Widiana, I. Wayan; Jampel, I. Nyoman
This classroom action research aimed to improve the students' creative thinking and achievement in learning science. It conducted through the implementation of multiple intelligences with mind mapping approach and describing the students' responses. The subjects of this research were the fifth grade students of SD 8 Tianyar Barat, Kubu, and…
Naeini, Ma'ssoumeh Bemani; Pandian, Ambigapathy
Gardner's (1983) Multiple Intelligences Theory (MIT) has been found to have profound implications in teaching English as a foreign language (TEFL) in that it provides a way for teachers to recognize learners' individual cognitive and affective differences by providing favorable motivational conditions for learning. However, little investigation…
Full Text Available The article discusses the importance of acceptance of the multiple intelligence types as one of the key factor influencing the (language teaching. It focuses mainly on the possibility to introduce art as a source of material for language teaching, providing a wide spectrum of possibilities to introduce different types of activities. The author understands art not only as a source for language teaching/learning but something more than that. For her, the art can be a source for presenting moral and aesthetic values and the material, which will develop learners as a complete personality. The art can bring ethics, culture, history to the language lesson and can help learners to understand the mentality and culture of the target language countr(ies more deeply. The paper is the case study done at the secondary school (1st graders, using some materials and preparing them for achieving the states aim, by the author. This study was a space to learn more about the students’ perception of task based approach, what gave them a chance to experience a shift from ‘teacher-centred’ learning to ‘learner centred’ lesson.
K. M. Widi Hadiyanti
Full Text Available Children are unique individuals who have their own ways to learn about the world and solve problems. It is supported by Gardner‘s ideas about multiple intelligences. Gardner (1993, 1998 suggested several kinds of intelligences. In their attempt to learn about the world, children make use of all resources, including their multiple intelligences. The application of multiple intelligences in teaching young learner seems to be apparent in Tetsuko Kuroyanagi‘s autobiographical memoir, ―Totto-chan: The Little Girl at the Window‖. This study identified and analyzed the techniques used to apply multiple intelligences in teaching young learners in Totto-chan‘s elementary school, Tomoe Gakuen. Based on the identification and analysis conducted in ―Totto-chan‖, this study elaborated the techniques in teaching English for young learners. In particular, this study proposed teaching techniques for four language skills. This study will be of great benefit for English teachers for young learners to enrich their teaching techniques that accord with the children nature of development.
Cheng, Yin Cheong
Purpose: Based on a typology of contextualized multiple thinking, this paper aims to elaborate how the levels of thinking (data, information, knowledge, and intelligence), and the types of thinking as a whole, can be used to profile the characteristics of multiple thinking in organizational learning, re-conceptualize the nature of creativity in…
Araya, A A
Intelligent systems should possess two fundamental capabilities: problem solving and learning. Problem solving capabilities allow an intelligent system to cope with problems in a given domain. Learning capabilities make possible for an intelligent system to improve the solution to the problems within its current reach or to cope with new problems. This paper examines research in artificial intelligence from the perspective of learning with the purpose of: 1) developing and understanding of the problem of learning from the AI point of view, and II) characterizing the current state of the art on learning in AI. 35 references.
Andreae, John H
The explanation of brain functioning in terms of the association of ideas has been popular since the 17th century. Recently, however, the process of association has been dismissed as computationally inadequate by prominent cognitive scientists. In this book, a sharper definition of the term "association" is used to revive the process by showing that associative learning can indeed be computationally powerful. Within an appropriate organization, associative learning can be embodied in a robot to realize a human-like intelligence, which sets its own goals, exhibits unique unformalizable behaviou
Full Text Available Theory of multiple intelligences is considered an innovation in both teaching and learning English language because it helps students develop all the eight intelligences that are grouped as verbal/linguistic, logical/mathematical, visual/spatial, bodily/kinesthetic, musical/rhythmic, interpersonal, intrapersonal and naturalist. The aforementioned intelligences are thought to represent ways in which individuals understand and perceive the world, solve problems and learn. Correspondingly, by focusing on the problem solving activities, teachers, by implementing theory of multiple intelligences encourage students not only to build-up their existing language knowledge but also learn new content and skills. The implementation of the theory of multiple intelligences in teaching the English language at the University of Niš Medical School has had a positive impact on learning English language and increased students' interest in language learning. Genarally speaking, this theory offers a better understanding of students’ intelligence and a greater appreciation of their strengths. It provides numerous opportunities for students to use and develop all the eight intelligences not just the few they excel in prior to enrolling a university or college.
Chen Ying; Wei Yixiang; Qu Jianshi; Zheng Futang; Xu Shengkui; Xie Yuanming; Qu Xing; Ji Weitong; Qiu Xuehua
A Multiple multichannel spectra acquisition and processing system with intelligent interface is described. Sixteen spectra measured with various lengths, channel widths, back biases and acquisition times can be identified and collected by the intelligent interface simultaneously while the connected computer is doing data processing. The execution time for the Ge(Li) gamma-ray spectrum analysis software on IBM PC-XT is about 55 seconds
Amitay, Sygal; Halliday, Lorna; Taylor, Jenny; Sohoglu, Ediz; Moore, David R
Although feedback on performance is generally thought to promote perceptual learning, the role and necessity of feedback remain unclear. We investigated the effect of providing varying amounts of positive feedback while listeners attempted to discriminate between three identical tones on learning frequency discrimination. Using this novel procedure, the feedback was meaningless and random in relation to the listeners' responses, but the amount of feedback provided (or lack thereof) affected learning. We found that a group of listeners who received positive feedback on 10% of the trials improved their performance on the task (learned), while other groups provided either with excess (90%) or with no feedback did not learn. Superimposed on these group data, however, individual listeners showed other systematic changes of performance. In particular, those with lower non-verbal IQ who trained in the no feedback condition performed more poorly after training. This pattern of results cannot be accounted for by learning models that ascribe an external teacher role to feedback. We suggest, instead, that feedback is used to monitor performance on the task in relation to its perceived difficulty, and that listeners who learn without the benefit of feedback are adept at self-monitoring of performance, a trait that also supports better performance on non-verbal IQ tests. These results show that 'perceptual' learning is strongly influenced by top-down processes of motivation and intelligence.
The purpose of this study was to investigate the interactions between multiple intelligence strengths and alternative teaching methods on student academic achievement, conceptual understanding and attitudes. The design was a quasi-experimental study, in which students enrolled in Principles of Anatomy and Physiology, a developmental biology course, received lecture only, problem-based learning with lecture, or peer teaching with lecture. These students completed the Multiple Intelligence Inventory to determine their intelligence strengths, the Students' Motivation Toward Science Learning questionnaire to determine student attitudes towards learning in science, multiple choice tests to determine academic achievement, and open-ended questions to determine conceptual understanding. Effects of intelligence types and teaching methods on academic achievement and conceptual understanding were determined statistically by repeated measures ANOVAs. No significance occurred in academic achievement scores due to lab group or due to teaching method used; however, significant interactions between group and teaching method did occur in students with strengths in logical-mathematical, interpersonal, kinesthetic, and intrapersonal intelligences. Post-hoc analysis using Tukey HSD tests revealed students with strengths in logical-mathematical intelligence and enrolled in Group Three scored significantly higher when taught by problem-based learning (PBL) as compared to peer teaching (PT). No significance occurred in conceptual understanding scores due to lab group or due to teaching method used; however, significant interactions between group and teaching method did occur in students with strengths in musical, kinesthetic, intrapersonal, and spatial intelligences. Post-hoc analysis using Tukey HSD tests revealed students with strengths in logical-mathematical intelligence and enrolled in Group Three scored significantly higher when taught by lecture as compared to PBL. Students with
Laughlin, Kevin; Foley, Andi
The "Intelligences That Plants Can Pass On" is an activity that involves several of Gardner's Multiple Intelligences and was designed for demonstrating the practical use of Multiple Intelligences in delivering education programs to all ages of learners. Instructions are provided for how to implement this activity, and the activity is linked to…
Pressure data acquisition has typically consisted of a group of sensors scanned by an electronic or mechanical multiplexer. The data accuracy was dependent upon the temperature stability of the sensors. This paper describes a new method of pressure measurement that combines individual temperature compensated pressure sensors, a microprocessor, and an A/D converter in one module. Each sensor has its own temperature characteristics stored in a look-up table to minimize sensor thermal errors. The result is an intelligent pressure module that can output temperature compensated engineering units over an Ethernet interface. Calibration intervals can be dramatically extended depending upon system accuracy requirements and calibration techniques used
Becker, Lee A.
Presents and develops a general model of the nature of a learning system and a classification for learning systems. Highlights include the relationship between artificial intelligence and cognitive psychology; computer-based instructional systems; intelligent instructional systems; and the role of the learner's knowledge base in an intelligent…
Deliyska, B.; Rozeva, A.
The learner model in an intelligent learning system (ILS) has to ensure the personalization (individualization) and the adaptability of e-learning in an online learner-centered environment. ILS is a distributed e-learning system whose modules can be independent and located in different nodes (servers) on the Web. This kind of e-learning is achieved through the resources of the Semantic Web and is designed and developed around a course, group of courses or specialty. An essential part of ILS is learner model database which contains structured data about learner profile and temporal status in the learning process of one or more courses. In the paper a learner model position in ILS is considered and a relational database is designed from learner's domain ontology. Multidimensional modeling agent for the source database is designed and resultant learner data cube is presented. Agent's modules are proposed with corresponding algorithms and procedures. Multidimensional (OLAP) analysis guidelines on the resultant learner module for designing dynamic learning strategy have been highlighted.
Full Text Available This study aims to make a theoretical underpinning contrast analysis on the multiple intelligences: consistent feature of Ethical Leadership in Financial Institutions. However, this research was conducted under a qualitative approach, a descriptive, using document analysis, which eventually might be considered that would support multiple intelligences to implement certain capabilities, to achieve the objectives with the purpose and from the rational point of view, to know how to establish significant changes in some ways it is, the way to assess the cognitive abilities of integrating human talent in organizations. Therefore, the role of the leader is to guide and support the development of human potential in their group as a community of interest in order to achieve the aspirations of the organization using intelligence as a strategic tool in different ways to not limit your imagination, judgment, and cooperative action.
Rossomando, Philip J.
A description is given of UNICORN, a prototype system developed for the purpose of investigating artificial intelligence (AI) concepts supporting spacecraft autonomy. UNICORN employs thematic reasoning, of the type first described by Rodger Schank of Northwestern University, to allow the context-sensitive control of multiple intelligent agents within a blackboard based environment. In its domain of application, UNICORN demonstrates the ability to reason teleologically with focused knowledge. Also presented are some of the lessons learned as a result of this effort. These lessons apply to any effort wherein system level autonomy is the objective.
Theory of multiple intelligences (MI) is considered an innovation in learning the English language because it helps students develop all eight intelligences that, on the other hand, represent ways people understand the world around them, solve problems and learn. They are: verbal/linguistic, logical/mathematical, visual/spatial, bodily/kinaesthetic, musical/rhythmic, interpersonal, intrapersonal and naturalist. Also, by focusing on the problem-solving activities, teachers, by implementing theory of multiple intelligences, encourage students not only to build their existing language knowledge but also learn new content and skills. The objective of this study has been to determine the importance of implementation of the theory of multiple intelligences in the English language course syllabus at the University of Nis Medical School. Ways in which the theory of multiple intelligences has been implemented in the English language course syllabus particularly in one lecture for junior year students of pharmacy in the University of Nis Medical School. The English language final exam results from February 2009 when compared with the final exam results from June 2007 prior to the implementation of MI theory showed the following: out of 80 junior year students of pharmacy, 40 obtained grade 10 (outstanding), 16 obtained grade 9 (excellent), 11 obtained grade 8 (very good), 4 obtained grade 7 (good) and 9 obtained grade 6 (pass). No student failed. The implementation of the theory of multiple intelligences in the English language course syllabus at the University of Nis Medical School has had a positive impact on learning the English language and has increased students' interest in language learning. Genarally speaking, this theory offers better understanding of students' intelligence and greater appreciation of their strengths. It provides numerous opportunities for students to use and develop all eight intelligences not just the few they excel in prior to enrolling in a
A key goal of educational neuroscience is to conduct constrained experimental research that is theory-driven and yet also clearly related to educators' complex set of questions and concerns. However, the fields of education, cognitive psychology, and neuroscience use different levels of description to characterize human ability. An important advance in research in educational neuroscience would be the identification of a cognitive and neurocognitive framework at a level of description relatively intuitive to educators. I argue that the theory of multiple intelligences (MI; Gardner, 1983), a conception of the mind that motivated a past generation of teachers, may provide such an opportunity. I criticize MI for doing little to clarify for teachers a core misunderstanding, specifically that MI was only an anatomical map of the mind but not a functional theory that detailed how the mind actually processes information. In an attempt to build a "functional MI" theory, I integrate into MI basic principles of cognitive and neural functioning, namely interregional neural facilitation and inhibition. In so doing I hope to forge a path toward constrained experimental research that bears upon teachers' concerns about teaching and learning.
Kentab, Mohammad Yousef
In this study, the researcher attempted to shed light on Saudi intermediate school EFL teachers' views of the multiple intelligences theory as an inclusive pedagogy. The purpose of this study was to investigate the impact of multiple intelligences on Saudi intermediate students' learning of EFL. The study also tried to illustrate the main…
Full Text Available Learning is the long process of transforming information as well as experience into knowledge, skills, attitude and behaviors. To make up the wide gap between the demand of increasing higher education and comparatively limited resources, more and more educational institutes are looking into instructional technology. Use of online resources not only reduces the cost of education but also meet the needs of society. Intelligent e-learning has become one of the important channels to reach out to students exceeding geographic boundaries. Besides this, the characteristics of e-learning have complicated the process of education, and have brought challenges to both instructors and students. This paper will focus on the discussion of different discipline of intelligent e-learning like scaffolding based e-learning, personalized e-learning, confidence based e-learning, intelligent tutoring system, etc. to illuminate the educational paradigm shift in intelligent e-learning system.
This study reports the findings of a study that investigated the relationship between multiple intelligence (MI) and academic performance in higher education. It addresses one question: does MI improve academic performance? Taking the case of the finalist cohort of the university's Faculty of Education of the academic year ...
Students living in poverty have needs that are not being addressed in traditional classrooms. Students from "generational poverty" process information differently (Payne 1996). Information is processed based on their living conditions and upbringing. Differentiating instruction using Howard Gardener's Multiple Intelligence theory…
Shearer, C. Branton; Luzzo, Darrell Anthony
This article demonstrates the practical value of applying H. Gardner's (1993) theory of multiple intelligences (MI) to the practice of career counseling. An overview of H. Gardner's MI theory is presented, and the ways in which educational and vocational planning can be augmented by the integration of MI theory in career counseling contexts are…
Full Text Available Abstrak: Tujuan penelitian ini adalah untuk mengetahui gambaran strategi multiple intelligences guru Pendidikan Agama Islam pada SMPN di Watampone, kualitas pembelajaran Pendidikan Agama Islam pada SMPN di Watampone, dan korelasi antara keduanya. Penelitian ini dilaksanakan pada sembilan SMPN di Watampone dengan jumlah guru Pendidikan Agama Islam sebanyak 34 orang. Teknik analisis yang digunakan adalah analisis deskriptif kuantitatif dan analisis koefisien korelasi product moment. Hasil penelitian menunjukkan bahwa strategi multiple intelligences telah diterapkan dengan baik oleh guru Pendidikan Agama Islam pada SMPN di Watampone walaupun belum maksimal melalui berbagai aktivitas penekanan strategi kecerdasan. Hasil penelitian ini juga menunjukkan bahwa kualitas pembelajaran Pendidikan Agama Islam pada SMPN di Watampone menekankan pada kualitas proses pembelajaran Pendidikan Agama Islam yang dimulai dengan perencanaan, pelaksanaan, penilaian dan pengawasan proses pembelajaran. Sedangkan jika dikorelasikan antara keduanya maka ada hubungan positif dan signifikan. Abstract: The objectives in this study namely to know describe the strategy of multiple intelligences of Islamic Education teachers at Junior High Schools in Watampone, quality learning Islamic education at Junior High Schools in the Watampone, and correlation. This research conducted at the Junior High School in Watampone the number of teachers of Islamic education as many as 34 people. Analysis technique used is quantitative descriptive analysis and product moment correlation coefficient. The results showed that the strategy of multiple intelligences has been well implemented by teachers of Islamic education in junior high schools in Watampone although not maximal suppression activity through various intelligence strategy. The results of this study also showed that the quality of teaching Islamic education emphasizes on the quality of the learning process of Islamic education
HAMAD, Zaina Mustafa Mahmoud; YOZGAT, Ugur
Performinga strong intelligence grants an organization a guaranteeof long-term success. This paper investigates the enhancing effect of organizational learning capabilities on competitive intelligence atthe commercial banks in Jordan. A sample within top and middle managements was used.Measurement instrument validity and model fit were assessed before testinghypotheses. This study emphasizes the role learning capability plays inenhancing intelligence. Key findings support importance of organi...
Capuano, Nicola; Gaeta, Matteo; Marengo, Agostino; Miranda, Sergio; Orciuoli, Francesco; Ritrovato, Pierluigi
Intelligent e-learning systems have revolutionized online education by providing individualized and personalized instruction for each learner. Nevertheless, until now very few systems were able to leave academic laboratories and be integrated into real commercial products. One of these few exceptions is the Learning Intelligent Advisor (LIA)…
Inglés, Cándido J.; Martínez-Monteagudo, María C.; Pérez Fuentes, Maria C.; García-Fernández, José M.; Molero, María del Mar; Suriá-Martinez, Raquel; Gázquez, José J.
The aim of this study was to analyse the relationship among emotional intelligence (EI) and learning strategies, identifying different emotional intelligence profiles and determining possible statistically significant differences in learning strategies through the identified profiles. Thousand and seventy-one Spaniards secondary school students…
Margaretha Sri Yuliariatiningsih
Full Text Available Abstract This study was grounded on the students’ hobby in reading comics. The result of the literature study showed that comic used as media in learning Physics was very effective as learning media and attractive to be read. One of the supporting factors of this success in improving the students’ multiple intelligences was the integration of art and craft activities in the science learning process. Moreover, the theory of multiple intelligences accomodated students with various way of learning thinking. The developed training model in this study consisted of five stages that were orientation, presentation, structured excersice, guided excersice and individual excersice. In each Science class, the learning process was always started with the elicitation of students’ prior knowledge. Then each student got one comic to be read. After the reading session, the teacher asked them about the contents of the comics either classically or individually. In the next step the students were invited to observe the demonstration done by the teacher only if the instruments or materials were not safe for them, (e.g hot water. Nevertheless, if they were safe enough for the students, they were allowed to do the experiment by themselves. Students’ worksheets (LKS were done by the students in group to develop their interpersonal and verbal-linguistic intelligences. Based on observation during experiments and drawing activities, the students’ visual-spatial intelligences were developed. Every learning process was always ended with knowledge test individually which would be discussed later. The study concluded that: 1 the training model improved PGSD students’ skills in developing comic as teaching media, 2 comics are proven to improve the elementary school students’ motivation in learning science, 3 comic enhanced elementary school students’ understanding in science knowledge which was indicated by the achievement of the students’ test score (85
Full Text Available Looking at learning procedure in general and language learning in particular, variations abound in learning processes and styles. Along this journey, some learners travel/move ahead smoothly and some others are faced with challenges of different sorts. Among the significant factors contributing to more effective and efficient language learning output, motivation, attitude, and personality traits play major roles. However, the role played by the intelligence seems to be critical in any language learning tasks and activities. Emotional Intelligence, which is believed to harmonize cognitive and emotional dispositions, seems to be indispensable to the interrelation between the learner’s Multiple Intelligence makeup and respective preferred learning strategies. This can be used to develop materials and teaching tasks to become more or less compatible with the learners’ varying preferences and abilities, thereby promoting their achievements. The findings of the study pertaining to the interrelation of students’ Multiple Intelligence profile and their preferred Language Learning Strategies can be used to plan and categorize language learning and teaching tasks and materials in order to modify them more in accordance with the choice of the students. The educators might use the findings to choose from among various teaching materials to satisfy the needs of their learners with different illiteracies through conducting need analysis prior to choosing any learning and teaching content materials.
Yanti, Y. R.; Amin, S. M.; Sulaiman, R.
This study described representation of students who have musical, logical-mathematic and naturalist intelligence in solving a problem. Subjects were selected on the basis of multiple intelligence tests (TPM) consists of 108 statements, with 102 statements adopted from Chislet and Chapman and 6 statements equal to eksistensial intelligences. Data were analyzed based on problem-solving tests (TPM) and interviewing. See the validity of the data then problem-solving tests (TPM) and interviewing is given twice with an analyzed using the representation indikator and the problem solving step. The results showed that: the stage of presenting information known, stage of devising a plan, and stage of carrying out the plan those three subjects were using same form of representation. While he stage of presenting information asked and stage of looking back, subject of logical-mathematic was using different forms of representation with subjects of musical and naturalist intelligence. From this research is expected to provide input to the teacher in determining the learning strategy that will be used by considering the representation of students with the basis of multiple intelligences.
Frost, Joe L.; And Others
Three brochures for parents are presented. The first lists potential playground hazards and suggestions for improving playgrounds. The second describes benefits of the multiage classroom, comparing such a classroom with a traditional, single-grade class. The third brochure describes verbal, logical, visual, musical, and physical learning styles…
Das, J; O’Connor, Neil
This volume contains the Proceedings of an International Conference on Intelligence and Learning held at York University, England, on July 16-20, 1979. The conference was made possible with the support and assistance of the following agencies: NAT 0 Scientific Division, specifically the Human Factors panel, was the major sponsor of the conference. Special thanks are due to Dr. B. A. Bayraktar, who helped organize the conference. Special appreciation is also expressed for the support of the University of York where the conference was held, the University of Alberta, the University of California, Los Angeles, the Medical Research Council, especially its Developmental Psychology Research U nit in London, and the British Council. The conference was jointly directed by J. P. Das and N. 0' Connor. The directors appreciate the assistance in administrative matters of Patricia Chobater and Emma Collins of the University of Alberta. The Editors of the Proceedings acknowledge and appreciate the following individuals who...
Widayanto, Arif; Pratiwi, Hasih; Mardiyana
The purpose of this study was to examine the presence or absence of different effects of multiple treatments (used learning models and logical-mathematical intelligence) on the dependent variable (affective domain of mathematics). This research was quasi experimental using 3x3 of factorial design. The population of this research was VIII grade students of junior high school in Karanganyar under the academic year 2017/2018. Data collected in this research was analyzed by two ways analysis of variance with unequal cells using 5% of significance level. The result of the research were as follows: (1) Teaching and learning with model TS lead to better achievement in affective domain than QSH, teaching and learning with model QSH lead to better achievement in affective domain than using DI; (2) Students with high mathematics logical intelligence have better achievement in affective domain than students with low mathematics logical intelligence have; (3) In teaching and learning mathematics using learning model TS, students with moderate mathematics logical intelligence have better achievement in affective domain than using DI; and (4) In teaching and learning mathematics using learning model TS, students with low mathematics logical intelligence have better achievement in affective domain than using QSH and DI.
The present study aims to find out the awareness of Higher Secondary School English teachers on Multiple Intelligences. Each teacher needs to be aware of different forms of intelligences. The objectives of the study are to find out the level of awareness of Higher Secondary School teachers on Multiple Intelligences and to compare the awareness on Multiple Intelligences among Higher Secondary School teachers based on gender and locality. Survey method is used for collecting data from 150 highe...
Shute, Valerie J.
"Smithtown" is an intelligent computer program designed to enhance an individual's scientific inquiry skills as well as to provide an environment for learning principles of basic microeconomics. It was hypothesized that intelligent computer instruction on applying effective interrogative skills (e.g., changing one variable at a time…
van Schaik, Carel P.; Burkart, Judith M.
If social learning is more efficient than independent individual exploration, animals should learn vital cultural skills exclusively, and routine skills faster, through social learning, provided they actually use social learning preferentially. Animals with opportunities for social learning indeed do so. Moreover, more frequent opportunities for social learning should boost an individual's repertoire of learned skills. This prediction is confirmed by comparisons among wild great ape populations and by social deprivation and enculturation experiments. These findings shaped the cultural intelligence hypothesis, which complements the traditional benefit hypotheses for the evolution of intelligence by specifying the conditions in which these benefits can be reaped. The evolutionary version of the hypothesis argues that species with frequent opportunities for social learning should more readily respond to selection for a greater number of learned skills. Because improved social learning also improves asocial learning, the hypothesis predicts a positive interspecific correlation between social-learning performance and individual learning ability. Variation among primates supports this prediction. The hypothesis also predicts that more heavily cultural species should be more intelligent. Preliminary tests involving birds and mammals support this prediction too. The cultural intelligence hypothesis can also account for the unusual cognitive abilities of humans, as well as our unique mechanisms of skill transfer. PMID:21357223
van Schaik, Carel P; Burkart, Judith M
If social learning is more efficient than independent individual exploration, animals should learn vital cultural skills exclusively, and routine skills faster, through social learning, provided they actually use social learning preferentially. Animals with opportunities for social learning indeed do so. Moreover, more frequent opportunities for social learning should boost an individual's repertoire of learned skills. This prediction is confirmed by comparisons among wild great ape populations and by social deprivation and enculturation experiments. These findings shaped the cultural intelligence hypothesis, which complements the traditional benefit hypotheses for the evolution of intelligence by specifying the conditions in which these benefits can be reaped. The evolutionary version of the hypothesis argues that species with frequent opportunities for social learning should more readily respond to selection for a greater number of learned skills. Because improved social learning also improves asocial learning, the hypothesis predicts a positive interspecific correlation between social-learning performance and individual learning ability. Variation among primates supports this prediction. The hypothesis also predicts that more heavily cultural species should be more intelligent. Preliminary tests involving birds and mammals support this prediction too. The cultural intelligence hypothesis can also account for the unusual cognitive abilities of humans, as well as our unique mechanisms of skill transfer.
Full Text Available The Effect of Emotional Intelligence Against Student Achievement aims to determine the effect of emotional intelligence which consists of self awareness, self management, Motivation, social awareness, relationship management partially and simultaneously on learning achievement. Respondents are students of SMP Negeri 4 Lalan Bumi Agung Vilage Musi Banyuasin Regency to be 135 people. Methods of data analysis using regression analysis techniques. Partial assay results (t-test showed emotional intelligence consists of Self awareness, self management, Motivation, social awareness, relationship management positive and significant effect on learning achievement. Simultaneous Test Results (Test-F emotional intelligence consists of Self awareness, self management, motivation, social awareness, relationship management and significant positive effect on learning achievement. Social awareness is more dominant influence on learning achievement.
Shaalan, Khaled F.
This paper describes the development of an intelligent computer-assisted language learning (ICALL) system for learning Arabic. This system could be used for learning Arabic by students at primary schools or by learners of Arabic as a second or foreign language. It explores the use of Natural Language Processing (NLP) techniques for learning…
Ravi, R.; Vedapriya, S. Gethsi
Multiple Intelligences are a new educational theory proposed by Howard Gardner in 1983. Multiple intelligences describe an array of different kinds of intelligences exhibited by human beings. This theory consists of verbal-linguistic, logical and mathematics, visual and spatial, bodily kinesthetic, musical-rhythmic, intrapersonal, interpersonal,…
Machine Learning is a type of artificial intelligence that provides machines or networks the ability to learn from data without the need to explicitly program them. There are different kinds of machine learning techniques. This thesis discusses the applications of two of these approaches: Genetic Fuzzy Logic and Convolutional Neural Networks (CNN). Fuzzy Logic System (FLS) is a powerful tool that can be used for a wide variety of applications. FLS is a universal approximator that reduces the need for complex mathematics and replaces it with expert knowledge of the system to produce an input-output mapping using If-Then rules. The expert knowledge of a system can help in obtaining the parameters for small-scale FLSs, but for larger networks we will need to use sophisticated approaches that can automatically train the network to meet the design requirements. This is where Genetic Algorithms (GA) and EVE come into the picture. Both GA and EVE can tune the FLS parameters to minimize a cost function that is designed to meet the requirements of the specific problem. EVE is an artificial intelligence developed by Psibernetix that is trained to tune large scale FLSs. The parameters of an FLS can include the membership functions and rulebase of the inherent Fuzzy Inference Systems (FISs). The main issue with using the GFS is that the number of parameters in a FIS increase exponentially with the number of inputs thus making it increasingly harder to tune them. To reduce this issue, the FLSs discussed in this thesis consist of 2-input-1-output FISs in cascade (Chapter 4) or as a layer of parallel FISs (Chapter 7). We have obtained extremely good results using GFS for different applications at a reduced computational cost compared to other algorithms that are commonly used to solve the corresponding problems. In this thesis, GFSs have been designed for controlling an inverted double pendulum, a task allocation problem of clustering targets amongst a set of UAVs, a fire
Du, Junping; Li, Hongbo; Zhang, Weicun; CISC’15
This book presents selected research papers from the 2015 Chinese Intelligent Systems Conference (CISC’15), held in Yangzhou, China. The topics covered include multi-agent systems, evolutionary computation, artificial intelligence, complex systems, computation intelligence and soft computing, intelligent control, advanced control technology, robotics and applications, intelligent information processing, iterative learning control, and machine learning. Engineers and researchers from academia, industry and the government can gain valuable insights into solutions combining ideas from multiple disciplines in the field of intelligent systems.
Gennari, Rosella; Vitorini, Pierpaolo; Vicari, Rosa; Prieta, Fernando
This volume presents recent research on Methodologies and Intelligent Systems for Technology Enhanced Learning. It contains the contributions of ebuTEL 2013 conference which took place in Trento, Italy, on September, 16th 2013 and of mis4TEL 2014 conference, which took take place in Salamanca, Spain, on September, 4th-6th 2014 This conference series are an open forum for discussing intelligent systems for Technology Enhanced Learning and empirical methodologies for its design or evaluation.
Dunjko, Vedran; Briegel, Hans J.
Quantum information technologies, and intelligent learning systems, are both emergent technologies that will likely have a transforming impact on our society. The respective underlying fields of research -- quantum information (QI) versus machine learning (ML) and artificial intelligence (AI) -- have their own specific challenges, which have hitherto been investigated largely independently. However, in a growing body of recent work, researchers have been probing the question to what extent th...
Krishnan, Heamalatha; Awang, Siti Rahmah
In this study, developing a fit measurement model and identifying the best fitting items to represent Howard Gardner's nine intelligences namely, musical intelligence, bodily-kinaesthetic intelligence, mathematical/logical intelligence, visual/spatial intelligence, verbal/linguistic intelligence, interpersonal intelligence, intrapersonal intelligence, naturalist intelligence and spiritual intelligence are the main interest in order to enhance the opportunities of the management graduates for employability. In order to develop a fit measurement model, Structural Equation Modeling (SEM) was applied. A psychometric test which is the Ability Test in Employment (ATIEm) was used as the instrument to measure the existence of nine types of intelligence of 137 University Teknikal Malaysia Melaka (UTeM) management graduates for job placement purposes. The initial measurement model contains nine unobserved variables and each unobserved variable is measured by ten observed variables. Finally, the modified measurement model deemed to improve the Normed chi-square (NC) = 1.331; Incremental Fit Index (IFI) = 0.940 and Root Mean Square of Approximation (RMSEA) = 0.049 was developed. The findings showed that the UTeM management graduates possessed all nine intelligences either high or low. Musical intelligence, mathematical/logical intelligence, naturalist intelligence and spiritual intelligence contributed highest loadings on certain items. However, most of the intelligences such as bodily kinaesthetic intelligence, visual/spatial intelligence, verbal/linguistic intelligence interpersonal intelligence and intrapersonal intelligence possessed by UTeM management graduates are just at the borderline.
Duo, Sun; Ying, Zhou Cai
Lack of personalized learning is the key shortcoming of traditional e-Learning system. This paper analyzes the personal characters in e-Learning activity. In order to meet the personalized e-learning, a personalized e-learning system based on intelligent agent was proposed and realized in the paper. The structure of system, work process, the design of intelligent agent and the realization of intelligent agent were introduced in the paper. After the test use of the system by certain network school, we found that the system could improve the learner's initiative participation, which can provide learners with personalized knowledge service. Thus, we thought it might be a practical solution to realize self- learning and self-promotion in the lifelong education age.
Biria, Reza; Boshrabadi, Abbas Mehrabi; Nikbakht, Elham
Human cognitive competence represents individuals' subconscious knowledge of abilities, talents, and mental skills collectively called "multiple intelligences (MIs)", which play a pivotal role in facilitating human learning. Thus, the main objective of the present study was to determine the magnitude of the relationship existing between…
This paper will demonstrate how to enhance second language (L2) learners' linguistic and cultural competencies through the use of the Multiple Intelligences Film Teaching (MIFT) model. The paper will introduce two ideas to teachers of English as a Second/Foreign Language (ESL/EFL). First, the paper shows how L2 learners learn linguistic and…
Full Text Available The aim of this paper was to describe the relationship between Interpersonal Intelligence and the learners' vocabulary learning through teaching reading activity so as to see whether this type of intelligence contributes to better vocabulary learning and whether there is any significant relationship between the performance of participants with interpersonal intelligence and their vocabulary learning in reading activity or not. This quantitative study consisted of a vocabulary test, a reading passage, an English proficiency test and a Multiple Intelligences questionnaire followed the study. A pre- test and post -test were conducted to get the differences in the students‟ post- test vocabulary score and their pre- test vocabulary score served as their gain score in vocabulary knowledge through reading. The comparison between the students‟ scores showed that there was no significant difference in the final performance of two groups. Therefore, this study doesn‟t support the idea of relationship between interpersonal intelligence and vocabulary learning through reading, but as a positive point, the present study indicated that reading texts can greatly assist the learners in developing the level of their vocabulary knowledge. This study proved to be useful for Iranian EFL learners and also EFL teachers can adopt the technique in their classes to advance their students' language learning. A comparison of the results after the next course cycle will then allow us to assess the effects of enhancing vocabulary knowledge, which would not be possible without reading texts.
The aim of this essay to draw an outline of the effect of various types of intelligence, paying particular attention to the concept of so called "Emotional Intelligence" with a language teacher's perspective. Throughout the essay it is aimed to create an awareness of different intelligence capacity of each individual learner in an ideal language teaching environment. While doing this literature on the area has been scanned and case studies have been performed on learners of various cultu...
Mohamad, Siti Nurul Mahfuzah; Salam, Sazilah; Bakar, Norasiken; Sui, Linda Khoo Mei
The theories of Multiple Intelligence (MI) used in this paper apply to students with interpersonal intelligence who is encouraged to work together in cooperative groups where interpersonal interaction is practiced. In this context, students used their knowledge and skills to help the group or partner to complete the tasks given. Students can interact with each other as they learn and the process of learning requires their verbal and non-verbal communication skills, co-operation and empathy in the group. Meanwhile educators can incorporate cooperative learning in groups in the classroom. On-MITT provides various tools to facilitate lecturers in preparing e-content that applies interpersonal intelligence. With minimal knowledge of Information and Technology (IT) skills, educators can produce creative and interesting teaching activities and teaching materials. The objective of this paper is to develop On-MITT prototype for interpersonal teaching activities. This paper addressed initial prototype of this study. An evaluation of On-MITT has been completed by 20 lecturers of Malaysian Polytechnics. Motivation Survey Questionnaire is used as the instrument to measure four motivation variables: ease of use, enjoyment, usefulness and self-confidence. Based on the findings, the On-MITT can facilitate educators to prepare teaching materials that are compatible for interpersonal learner.
Full Text Available Observation is a daily practice in scholastic and educational contexts, but it needs to develop into a professional competence in order to be helpful. In fact, to design an educative and didactic plan and to provide useful tools, activities and tasks to their students, teachers and educators need to collect information about learners. For these reasons we’ll built a Web-Observation (Web-Ob application, a tool able to support good practices in observation. In particular, the Web-Ob can provide Multiple Intelligences Theory as a framework through which children’s behaviors and attitudes can be observed, assessed and evaluated.
Goodnough, Karen Catherine
Since the publication of Frames of Mind: The Theory in Practice, multiple intelligences, theory (Gardner, 1983) has been used by practitioners in a variety of ways to make teaching and learning more meaningful. However, little attention has been focused on exploring the potential of the theory for science teaching and learning. Consequently, this research study was designed to: (1) explore Howard Gardner's theory of multiple intelligences (1983) and its merit for making science teaching and learning more meaningful; (2) provide a forum for teachers to engage in critical self-reflection about their theory and practice in science education; (3) study the process of action research in the context of science education; and (4) describe the effectiveness of collaborative action research as a framework for teacher development and curriculum development. The study reports on the experiences of four teachers (two elementary teachers, one junior high teacher, and one high school teacher) and myself, a university researcher-facilitator, as we participated in a collaborative action research project. The action research group held weekly meetings over a five-month period (January--May, 1999). The inquiry was a qualitative case study (Stake, 1994) that aimed to understand the perspectives of those directly involved. This was achieved by using multiple methods to collect data: audiotaped action research meetings, fieldnotes, semi-structured interviews, journal writing, and concept mapping. All data were analysed on an ongoing basis. Many positive outcomes resulted from the study in areas such as curriculum development, teacher development, and student learning in science. Through the process of action research, research participants became more reflective about their practice and thus, enhanced their pedagogical content knowledge (Shulman, 1987) in science. Students became more engaged in learning science, gained a greater understanding of how they learn, and experienced a
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
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
Sternberg, Robert J.
Intelligence is the ability to learn from experience and to adapt to, shape, and select environments. Intelligence as measured by (raw scores on) conventional standardized tests varies across the lifespan, and also across generations. Intelligence can be understood in part in terms of the biology of the brain—especially with regard to the functioning in the prefrontal cortex—and also correlates with brain size, at least within humans. Studies of the effects of genes and environment suggest that the heritability coefficient (ratio of genetic to phenotypic variation) is between .4 and .8, although heritability varies as a function of socioeconomic status and other factors. Racial differences in measured intelligence have been observed, but race is a socially constructed rather than biological variable, so such differences are difficult to interpret. PMID:22577301
Sternberg, Robert J
Intelligence is the ability to learn from experience and to adapt to, shape, and select environments. Intelligence as measured by (raw scores on) conventional standardized tests varies across the lifespan, and also across generations. Intelligence can be understood in part in terms of the biology of the brain-especially with regard to the functioning in the prefrontal cortex-and also correlates with brain size, at least within humans. Studies of the effects of genes and environment suggest that the heritability coefficient (ratio of genetic to phenotypic variation) is between .4 and .8, although heritability varies as a function of socioeconomic status and other factors. Racial differences in measured intelligence have been observed, but race is a socially constructed rather than biological variable, so such differences are difficult to interpret.
correlative so data were analyzed to describe the relationship between the level of intelligence, achievement motivation and study habits mathematics with mathematics learning achievement of students. Instrument documentation and data retrieval using a questionnaire and analyzed using simple linear regression and correlation, as well as multiple linear regression and correlation. The results showed that there is a significant relationship between: (1 the level of intelligence with mathematics learning achievement of students, (2 achievement motivation and academic achievement of student mathematics, (3 study habits and academic achievement of student mathematics (4 the level of intelligence, achievement motivation and study habits mathematics with mathematics learning achievement of students.
Dias, Sofia B; Hadjileontiadis, Leontios J
This book offers useful information that evokes initiatives towards rethinking of the value, efficiency, inclusiveness, effectiveness and personalization of the intelligent learning management systems-based blended-learning environment.
Zongyao, Wang; Cong, Sui; Cheng, Shao
Fixed point learning has become an important tool to analyse large scale distributed system such as urban traffic network. This paper presents a fixed point learning based intelligence traffic network control system. The system applies convergence property of fixed point theorem to optimize the traffic flow density. The intelligence traffic control system achieves maximum road resources usage by averaging traffic flow density among the traffic network. The intelligence traffic network control system is built based on decentralized structure and intelligence cooperation. No central control is needed to manage the system. The proposed system is simple, effective and feasible for practical use. The performance of the system is tested via theoretical proof and simulations. The results demonstrate that the system can effectively solve the traffic congestion problem and increase the vehicles average speed. It also proves that the system is flexible, reliable and feasible for practical use.
Furnham, Adrian; Shagabutdinova, Ksenia
This was a crosscultural study that focused on sex differences in self- and other-estimates of multiple intelligences (including 10 that were specified by Gardner, 1999 and three by Sternberg, 1988) as well as in an overall general intelligence estimate. It was one of a programmatic series of studies done in over 30 countries that has demonstrated the female "humility" and male "hubris" effect in self-estimated and other-estimated intelligence. Two hundred and thirty Russian university students estimated their own and their parents' overall intelligence and "multiple intelligences." Results revealed no sex difference in estimates of overall intelligence for both self and parents, but men rated themselves higher on spatial intelligence. This contradicted many previous findings in the area which have shown that men rate their own overall intelligence and mathematical intelligence significantly higher than do women. Regressions indicated that estimates of verbal, logical, and spatial intelligences were the best predictors of estimates of overall intelligence, which is a consistent finding over many studies. Regressions also showed that participants' openness to experience and self-respect were good predictors of intelligence estimates. A comparison with a British sample showed that Russians gave higher mother estimates, and were less likely to believe that IQ tests measure intelligence. Results were discussed in relation to the influence of gender role stereotypes on lay conception of intelligence across cultures.
Atas, Sait; Erisen, Yavuz
Even though curriculum designers in Turkey considered Gardner's multiple intelligence theory as one of the most important theories during the curricula reform in 2005, the university entrance examination system is still on the basis of the two intelligence areas only, mathematical-logical and linguistics intelligence. The aim of this study was to…
Arikan, Arda; Soydan, Elif; Isler, Özlem
This study aims to analyze two coursebooks, namely, "Texture of English 4" and "My English 5" on the basis of to what extent the activities and tasks included reflect the intelligent types proposed by multiple intelligences theory. Taking the general characteristics of the intelligences into account, a checklist has been…
The aim of this study is to find out whether intelligence distributions differ or not according to gender and departmental variables by determining the dominant intelligence (Multiple Intelligence) distributions of prospective teachers studying at Yildiz Technical University Education Faculty. The population of the research constitutes the…
Sutiani, Ani; Silitonga, Mei Y.
This research focused on the effect of learning models and emotional intelligence in students' chemistry learning outcomes on reaction rate teaching topic. In order to achieve the objectives of the research, with 2x2 factorial research design was used. There were two factors tested, namely: the learning models (factor A), and emotional intelligence (factor B) factors. Then, two learning models were used; problem-based learning/PBL (A1), and project-based learning/PjBL (A2). While, the emotional intelligence was divided into higher and lower types. The number of population was six classes containing 243 grade X students of SMAN 10 Medan, Indonesia. There were 15 students of each class were chosen as the sample of the research by applying purposive sampling technique. The data were analyzed by applying two-ways analysis of variance (2X2) at the level of significant α = 0.05. Based on hypothesis testing, there was the interaction between learning models and emotional intelligence in students' chemistry learning outcomes. Then, the finding of the research showed that students' learning outcomes in reaction rate taught by using PBL with higher emotional intelligence is higher than those who were taught by using PjBL. There was no significant effect between students with lower emotional intelligence taught by using both PBL and PjBL in reaction rate topic. Based on the finding, the students with lower emotional intelligence were quite hard to get in touch with other students in group discussion.
Furnham, Adrian; Kosari, Afrooz; Swami, Viren
Two hundred and fifty-eight Iranian university students estimated their own, parents', and partners' overall (general) intelligence, and also estimated 13 'multiple intelligences' on a simple, two-page questionnaire which was previously used in many similar studies. In accordance with previous research, men rated themselves higher than women on logical-mathematical, spatial and musical intelligence. There were, however, no sex differences in ratings of parental and partner multiple intelligences, which is inconsistent with the extant literature. Participants also believed that they were more intelligent than their parents and partners, and that their fathers were more intelligent than their mothers. Multiple regressions indicated that participants' Big Five personality typologies and test experience were significant predictors of self-estimated intelligence. These results are discussed in terms of the cross-cultural literature in the field. Implications of the results are also considered.
Full Text Available With the development of Chinese economy, oversea Chinese education has been paid more and more attention. However, the overseas Chinese education resource is relatively lack because of historical reasons, which hindered further development . How to better share the Chinese education resources and provide intelligent personalized information service for overseas student is a key problem to be solved. In recent years, the rise of cloud computing provides us an opportunity to realize intelligent learning mode. Cloud computing offers some advantages by allowing users to use infrastructure, platforms and software . In this paper we proposed an intelligent cloud learning model based on cloud computing. The learning model can utilize network resources sufficiently to implement resource sharing according to the personal needs of students, and provide a good practicability for online overseas Chinese education.
Gennari, Rosella; Vittorini, Pierpaolo; Prieta, Fernando
This volume presents recent research on Methodologies and Intelligent Systems for Technology Enhanced Learning. It contains the contributions of MIS4TEL 2015, which took place in Salamanca, Spain,. On June 3rd to 5th 2015. Like the previous edition, this proceedings and the conference is an open forum for discussing intelligent systems for Technology Enhanced Learning and empirical methodologies for their design or evaluation MIS4TEL’15 conference has been organized by University of L’aquila, Free University of Bozen-Bolzano and the University of Salamanca. .
Samigulina, Galina; Shayakhmetova, Assem; Nuysuppov, Adlet
The aim of the study is to develop innovative intelligent technology and information systems of distance education for people with impaired vision (PIV). To solve this problem a comprehensive approach has been proposed, which consists in the aggregate of the application of artificial intelligence methods and statistical analysis. Creating an accessible learning environment, identifying the intellectual, physiological, psychophysiological characteristics of perception and information awareness by this category of people is based on cognitive approach. On the basis of fuzzy logic the individually-oriented learning path of PIV is con- structed with the aim of obtaining high-quality engineering education with modern equipment in the joint use laboratories.
Full Text Available The aim of the study is to develop innovative intelligent technology and information systems of distance education for people with impaired vision (PIV. To solve this problem a comprehensive approach has been proposed, which consists in the aggregate of the application of artificial intelligence methods and statistical analysis. Creating an accessible learning environment, identifying the intellectual, physiological, psychophysiological characteristics of perception and information awareness by this category of people is based on cognitive approach. On the basis of fuzzy logic the individually-oriented learning path of PIV is con- structed with the aim of obtaining high-quality engineering education with modern equipment in the joint use laboratories.
Ann-Louise De Boer
Full Text Available The interconnectedness of the constructs ‘whole brain® thinking’ and ‘multiple intelligence’ forms the epicentre of this article. We depart from the premise that when whole brain® thinking is activated multiple intelligence can be nourished. When this becomes evident in a higher education practice it can be claimed that such a practice is innovative. Whole brain® thinking that informs intelligence and vice versa is inevitable when it comes to facilitating learning with a view to promoting quality learning in the context of higher education. If higher education is concerned about the expectations of industry and the world of work there is no other option as to prepare students in such a way that they develo as holistic – whole brained and intelligent – employers, employees and entrepreneurs who take responsibility for maximising their full potential. Becoming a self-regulated professional and being reflexive are some of the attributes of the 21st century which should be cultivated in all students. Research on whole brain® thinking and multiple intelligence shows that these human attributes form an integral part of one’s interaction with life – one’s environment and especially people as integral part of the environment. This focus on people highlights the need for developing soft skills within every curriculum. The epistemological underpinning of our reporting of experience in practice and research of the application of the principals of the constructs is meta- reflective in nature. Instead of a typical traditional stance to research we do not report on the numerous sets of data obtained over a period of more than 15 years. Our approach is that of a meta-reflective narrative as most of the studies we were involved in and still are, are reflective as it is most often than not action research-driven. And action research is a reflective process. We report on evidence-based practice that includes fields of specialisation such as
Ahvan, Yaghoob Raissi; Pour, Hossein Zainali
The present study attempts to investigate the relationship between the multiple intelligences and the academic performance achievement levels of high school students based on Gardner's multiple intelligences theory. This was a descriptive correlation study. To accomplish this purpose, 270 students of high school of Bandar Abbas selected by…
Dueñas Macías, Fredy Alonso
This article reports on an action research study that focused on developing the distinct multiple intelligences of an English class of fifth graders through interest centers at a Colombian school. A multiple intelligences questionnaire, an open-ended observation form, and a student mini-report sheet were used to collect data. Findings revealed…
Fayazi-Nasab, Ensieh; Ghafournia, Narjes
There exist many factors, affecting reading ability. Multiple intelligence and motivational strategies are among the factors that seem to make significant contribution to the reading process. Thus, the present study probed the probable significant relation between Iranian language learners' multiple intelligences and reading ability. The study…
Crim, Courtney L.; Kennedy, Kimberley D.; Thornton, Jenifer S.
This article reviews the relevant literature in regard to differentiation, multiple intelligences, and aesthetic representations. Next, it presents the methodology, reports findings, and discusses themes related to the authors' research questions. Finally, it concludes that tapping into students' multiple intelligence strength(s) is an excellent…
The main purpose of the study was to investigate the relationship between Iranian EFL teachers' Professional Identity and their types of Multiple Intelligences. Moreover, it aimed to see the extent to which their multiple intelligences can predict their professional identity. The participants of the study were 137 Iranian EFL teachers teaching in…
Aslan, Cem Sinan
The aim of this study is to compare the multiple intelligence areas of a group of physical education and sports students according to their demographic features. In the study, "Multiple Intelligence Scale", consisting of 27 items, whose Turkish validity and reliability study have been done by Babacan (2012) and which is originally owned…
Jerome Bruner identified three major ways of knowing: iconic, enactive, and symbolic. Schooling has been dominantly framed in the symbolic, and intelligence and achievement were measured in this realm. Gregory Bateson, concerned with mind-nature separation, differentiated between the map (a human-made abstraction) and the territory (the natural…
Szymanowicz, Agata; Furnham, Adrian
This study examined participant gender and gender role differences in estimates of multiple intelligences for self, partner, and various hypothetical, stereotypical, and counter-stereotypical target persons. A general population sample of 261 British participants completed one of four questionnaires that required them to estimate their own and others' multiple intelligences and personality traits. Males estimated their general IQ slightly, but mathematic IQ significantly higher than females, who rated their social and emotional intelligence higher than males. Masculine individuals awarded themselves somewhat higher verbal and practical IQ scores than did female participants. Both participant gender and gender role differences in IQ estimates were found, with gender effects stronger in cognitive and gender role than in "personal" ability estimates. There was a significant effect of gender role on hypothetical persons' intelligence evaluations, with masculine targets receiving significantly higher intelligence estimates compared to feminine targets. More intelligent hypothetical figures were judged as more masculine and less feminine than less intelligent ones.
The development of computers and artificial intelligence theory allow their application in the field of education. Intelligent tutoring systems reflect student learning styles and adapt the curriculum according to their individual needs. The building of intelligent tutoring systems requires not only the creation of suitable software, but especially the search and application of the rules enabling ICT to individually adapt the curriculum. The main idea of this paper is to attempt to specify the rules for dividing the students to systematically working students and more practically or pragmatically inclined students. The paper shows that monitoring the work of students in e-learning environment, analysis of various approaches to educational materials and correspondence assignments show different results for the defined groups of students.
Klašnja-Milićević, Aleksandra; Ivanović, Mirjana; Budimac, Zoran; Jain, Lakhmi C
This monograph provides a comprehensive research review of intelligent techniques for personalisation of e-learning systems. Special emphasis is given to intelligent tutoring systems as a particular class of e-learning systems, which support and improve the learning and teaching of domain-specific knowledge. A new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system is presented. This approach incorporates a recommender system based on collaborative tagging techniques that adapts to the interests and level of students' knowledge. These innovations are important contributions of this monograph. Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language. The monograph is directed to, students and researchers interested in the e-learning and personalization techniques. .
Autonomous lifelong development and learning are fundamental capabilities of humans, differentiating them from current deep learning systems. However, other branches of artificial intelligence have designed crucial ingredients towards autonomous learning: curiosity and intrinsic motivation, social learning and natural interaction with peers, and embodiment. These mechanisms guide exploration and autonomous choice of goals, and integrating them with deep learning opens stimulating perspectives.
This paper describes the once-weekly psychoanalytic psychotherapy of a girl, called Ellie, aged eight at the start of her treatment. Ellie had a learning disability and displayed difficult behaviour at school and at home. In her therapy, Ellie grew in emotional intelligence, more in touch with and able to express her feelings. Her behaviour…
Upadhyay, Nitin; Agarwal, Vishnu Prakash
This paper proposes a methodology using graph theory, matrix algebra and permanent function to compare different architecture (structure) design of intelligent mobile learning environment. The current work deals with the development/selection of optimum architecture (structural) model of iMLE. This can be done using the criterion as discussed in…
Olsen, Jennifer K.; Belenky, Daniel M.; Aleven, Vincent; Rummel, Nikol
Collaborative and individual instruction may support different types of knowledge. Optimal instruction for a subject domain may therefore need to combine these two modes of instruction. There has not been much research, however, on combining individual and collaborative learning with Intelligent Tutoring Systems (ITSs). A first step is to expand…
Huang, Hsin-Hsiung; Su, Juing-Huei; Lee, Chyi-Shyong
A contest-oriented project for undergraduate students to learn implementation skills and theories related to intelligent mobile robots is presented in this paper. The project, related to Micromouse, Robotrace (Robotrace is the title of Taiwanese and Japanese robot races), and line-maze contests was developed by the embedded control system research…
Dr. Maria Luisa A. Valdez
Full Text Available This research aims to assess the reports generated from the Dermatoglyphics Multiple Intelligence Test (DMIT administered by selected DMIT resource companies and consultancy firms in India with the end view of identifying its implication to career guidance program enhancement of academic institutions. This paper employed the descriptive research method which involved the use of documentary analysis, questionnaires and interviews with purposively selected respondents supported by the researchers’ analysis and insights with reference to the content of the data. Findings of this research revealed that the dermatoglyphics, as a scientific discipline, began with the publication of Purkinje’s thesis (1823 and Galton’s classic book, Fingerprints (1892; DMIT is a remarkable offshoot of Howard Gardner’s Theory of Multiple Intelligences which has the following salient features: Overview of the Dermatoglyphics and the Dermatoglyphics Multiple Intelligence Test/Analysis; Personality Assessment; Profile based on Gardner’s Multiple Intelligences and Dunn’s Brain Lateralization Theories; Learning Styles; Competency and Compatibility Profiles; Working Style; Leadership Style; Management Style; Report Interpretation; and Customized Academic and Relationship Advises; the respondents of this study gave their perceptions with reference to the beneficial results of the DMIT; and the foregoing findings have some implications that may be used by academic institutions to enhance their career guidance program.
Chen, Shengqing; Huang, Xiaojian; Fang, Jiaze; Liang, Jia
The reasoning system can be used in many fields. How to improve reasoning efficiency is the core of the design of system. Through the formal description of formal proof and the regular matching algorithm, after introducing the machine learning algorithm, the system of intelligent formal reasoning and verification has high efficiency. The experimental results show that the system can verify the correctness of propositional logic reasoning and reuse the propositional logical reasoning results, so as to obtain the implicit knowledge in the knowledge base and provide the basic reasoning model for the construction of intelligent system.
Swami, Viren; Furnham, Adrian; Kannan, Kumaraswami
Participants were 230 adult Malaysians who estimated their own, their parents', and their partners' overall IQs and 10 multiple intelligences. In accordance with both the previous literature and the authors' hypotheses, men rated themselves higher than did women on overall, verbal, logical-mathematical, and spatial intelligences. There were fewer gender differences in ratings of parents and in those of partners. Participants believed that they were more intelligent than both parents (but not their partners) and that their fathers were more intelligent than their mothers. Regressions indicated that participants believed that verbal intelligence and--to a lesser extent--logical-mathematical intelligence were the main predictors of overall intelligence. The authors discussed results in terms of the extant cross-cultural literature in the field.
Larsen, Lasse Juel; Helms, Niels Henrik
of tangible learning media and develop didactic approaches for teachers in primary school and furthermore to use the user experiences in a structured process where children participated in the innovation process. This has raised a fundamental question: How should we understand the relationship between......This short paper outlines experiences and reflections on the research and development project “Octopus” in order to describe and illustrate how intelligent context facilitates and embody learning. The framework is a research and development project where we have tried to work with new kinds......, embodiment, intelligent contexts, structure and flow. This paper does this through Bachtins concept of “Chronotopos” or how time and space influence and structure experience and learning....
Li, Jing; Ma, Sujuan; Ma, Linqing
Firstly, in this article, we expound the theory of the educational games and multiple intelligence and analyze the relationship between them. Then, further, we elaborate educational games' effect on the development of students' multiple intelligence, taking logic-mathematics intelligence for example. Also, we discuss the strategies of using educational games to improve students' intelligence. In a word, we can use the computer games to develop the students' multi-intelligence.
An E-learning system based on a multi-agent (MAS) architecture combined with the Dynamic Content Manager (DCM) model of E-learning, is presented. We discuss the benefits of using such a multi-agent architecture. Finally, the MAS architecture is compared with a pure service-oriented architecture (SOA). This MAS architecture may also be used within…
Full Text Available UFractions is a ubiquitous learning environment which combines mobile technology, tangible fraction blocks and a story-based game into a mathematical learning experience. In this paper the authors present a novel concept for monitoring a user’s...
Full Text Available In computer-assisted education, the continuous monitoring and assessment of the learner is crucial for the delivery of personalized education to be effective. In this paper, we present a pilot application of the Student Diagnosis, Assistance, Evaluation System based on Artificial Intelligence (StuDiAsE, an open learning system for unattended student diagnosis, assistance and evaluation based on artificial intelligence. The system demonstrated in this paper has been designed with engineering students in mind and is capable of monitoring their comprehension, assessing their prior knowledge, building individual learner profiles, providing personalized assistance and, finally, evaluating a learner's performance both quantitatively and qualitatively by means of artificial intelligence techniques. The architecture and user interface of the system are being exhibited, the results and feedback received from a pilot application of the system within a theoretical engineering course are being demonstrated and the outcomes are being discussed.
Lopez, Salvador; Patron, Hilde
According to Howard Gardner, Professor of Cognition and Education at Harvard University, intelligence of humans cannot be measured with a single factor such as the IQ level. Instead, he and others have suggested that humans have different types of intelligence. This paper examines whether students registered in online or mostly online courses have…
AI based Tutoring and Learning Path Adaptation are well known concepts in e-Learning scenarios today and increasingly applied in modern learning environments. In order to gain more flexibility and to enhance existing e-learning platforms, the OPUS One LMS Extension package will enable a generic Intelligent Tutored Adaptive Learning Environment, based on a holistic Multidimensional Instructional Design Model (PENTHA ID Model), allowing AI based tutoring and adaptation functionality to existing Web-based e-learning systems. Relying on "real time" adapted profiles, it allows content- / course authors to apply a dynamic course design, supporting tutored, collaborative sessions and activities, as suggested by modern pedagogy. The concept presented combines a personalized level of surveillance, learning activity- and learning path adaptation suggestions to ensure the students learning motivation and learning success. The OPUS One concept allows to implement an advanced tutoring approach combining "expert based" e-tutoring with the more "personal" human tutoring function. It supplies the "Human Tutor" with precise, extended course activity data and "adaptation" suggestions based on predefined subject matter rules. The concept architecture is modular allowing a personalized platform configuration.
After Gardner had introduced the Multiple Intelligence (MI) theory, many researchers tried to find out the possibilities of applying this theory in the education domain. Moreover, the effects of different kinds of athletic applications on intelligence development within the framework of this theory have also been under investigation. This study…
Stipancic, Kaila L.; Tjaden, Kris; Wilding, Gregory
Purpose: This study obtained judgments of sentence intelligibility using orthographic transcription for comparison with previously reported intelligibility judgments obtained using a visual analog scale (VAS) for individuals with Parkinson's disease and multiple sclerosis and healthy controls (K. Tjaden, J. E. Sussman, & G. E. Wilding, 2014).…
Miguel, Jorge; Xhafa, Fatos
Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems addresses information security within e-Learning based on trustworthiness assessment and prediction. Over the past decade, many learning management systems have appeared in the education market. Security in these systems is essential for protecting against unfair and dishonest conduct-most notably cheating-however, e-Learning services are often designed and implemented without considering security requirements. This book provides functional approaches of trustworthiness analysis, modeling, assessment, and prediction for stronger security and support in online learning, highlighting the security deficiencies found in most online collaborative learning systems. The book explores trustworthiness methodologies based on collective intelligence than can overcome these deficiencies. It examines trustworthiness analysis that utilizes the large amounts of data-learning activities generate. In addition, as proc...
Larsen, Lasse Juel; Helms, Niels Henrik
of tangible learning media and develop didactic approaches for teachers in a primary school and furthermore to use the user experiences in a structured process where children participated in the innovation process. This has raised a fundamental question: How should we understand the relationship between....... This paper therefore aims at illustrating how and why the “Octopus” works and functions in a learning community (school) and discus the relations between distinctions, embodiment, intelligent contexts, structure and flow. This paper introduces a new reading of pervasive learning environments as the “Octopus......” through M.M. Bachtins concept of “Chronotopos” or how time and space influence and structure experience and learning. We have adapted this theory that originally is about literature in order to find new ways of understanding the time and place relation in learning....
Da Fonseca, D; Cury, F; Bailly, D; Rufo, M
Most studies have tried to explain the school difficulties by analysing the intellectual factors that lead to school failure. However in addition to the instrumental capacities, authors also recognize the role played by other factors such as motivation. More specifically, the theory of achievement motivation aims to determine motivational factors involved in achievement situations when the students have to demonstrate their competencies. This paradigm attributes a central place to beliefs in order to explain children's behavior in academic situations. According to Dweck, it seems that beliefs about the nature of intelligence have a very powerful impact on behavior. These implicit theories of intelligence create a meaning system or conceptual framework that influences the individual interpretation of school situations. Thus, an entity theory of intelligence is the belief that intelligence is a fixed trait, a personal quality that cannot be changed. Students who subscribe to this theory believe that although people can learn new things, their underlying intelligence remains the same. In contrast, an incremental theory of intelligence is the belief that intelligence is a malleable quality that can increase through efforts. The identification of these two theories allows us to understand the cognition and behavior of individuals in achievement situations. Many studies carried out in the academic area show that students who hold an entity theory of intelligence (ie they consider intelligence like a stable quality) have a strong tendency to attribute their failures to a fixed trait. They are more likely to blame their intelligence for ne-gative outcomes and to attribute failures to their bad intellectual ability. In contrast, students who hold an incremental theory of intelligence (ie they consider intelligence as a malleable quality) are more likely to understand the same ne-gative outcomes in terms of specific factors: they attribute them to a lack of effort. This
Full Text Available Penelitian ini bertujuan untuk mengetahui efektivitas penerapan model pembelajaran atraktif berbasis multiple intelligences dalam meremediasi miskonsepsi siswa tentang pemantulan cahaya pada cermin. Pada penelitian ini digunakan bentuk pre-eksperimental design dengan rancangan one group pretest-post test design. Alat pengumpulan data berupa tes pilihan ganda dengan reasoning. Hasil validitas sebesar 4,08 dan reliabilitas 0,537. Siswa dibagi menjadi lima kelompok kecerdasan, yaitu kelompok linguistic intelligence, mathematical-logical intelligence, visual-spatial intelligence, bodily-khinestetic intelligence, dan musical intelligence. Siswa membahas konsep fisika sesuai kelompok kecerdasannya dalam bentuk pembuatan pantun-puisi, teka-teki silang, menggambar kreatif, drama, dan mengarang lirik lagu. Efektivitas penerapan model pembelajaran multiple intelligences menggunakan persamaan effect size. Ditemukan bahwa skor effect size masing-masing kelompok berkategori tinggi sebesar 5,76; 3,76; 4,60; 1,70; dan 1,34. Penerapan model pembelajaran atraktif berbasis multiple intelligences efektif dalam meremediasi miskonsepsi siswa. Penelitian ini diharapkan dapat digunakan pada materi fisika dan sekolah lainnya.
Mohd Ali Samsudin; Noor Hasyimah Haniza; Corrienna Abdul-Talib; Hayani Marlia Mhd Ibrahim
This study was undertaken to identify the relationship between multiple intelligences with preferred science teaching and science process skills. The design of the study is a survey using three questionnaires reported in the literature: Multiple Intelligences Questionnaire, Preferred Science Teaching Questionnaire and Science Process Skills Questionnaire. The study selected 300 primary school students from five (5) primary schools in Penang, Malaysia. The findings showed a relationship betwee...
Neto, Félix; Furnham, Adrian
The authors examined gender differences and the influence of intelligence quotient (IQ) test experience in the self and partner estimation of H. Gardner's (1999) 10 multiple intelligences. Portuguese students (N = 190) completed a brief questionnaire developed on the basis of an instrument used in previous research (A. Furnham, 2001). Three of the 10 self-estimates yielded significant gender differences. Men believed they were more intelligent than were women on mathematical (logical), spatial, and naturalistic intelligence. Those who had previously completed an IQ test gave higher self-estimates on 2 of the 10 estimates. Factor analysis of the 10 and then 8 self-estimated scores did not confirm Gardner's 3-factor classification of multiple intelligences in this sample.
Full Text Available Learning styles and types of intelligence are essential features of effective learning. Discovering and creative approach could be more appropriate form of learning to the current conditions of society.
Yerizon, Y.; Putra, A. A.; Subhan, M.
Students have a low mathematical ability because they are used to learning to hear the teacher's explanation. For that students are given activities to sharpen his ability in math. One way to do that is to create discovery learning based work sheet. The development of this worksheet took into account specific student learning styles including in schools that have classified students based on multiple intelligences. The dominant learning styles in the classroom were intrapersonal and interpersonal. The purpose of this study was to discover students’ responses to the mathematics work sheets of the junior high school with a discovery learning approach suitable for students with Intrapersonal and Interpersonal Intelligence. This tool was developed using a development model adapted from the Plomp model. The development process of this tools consists of 3 phases: front-end analysis/preliminary research, development/prototype phase and assessment phase. From the results of the research, it is found that students have good response to the resulting work sheet. The worksheet was understood well by students and its helps student in understanding the concept learned.
The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. This book is devoted to the “Intelligent and Adaptive Educational-Learning Systems”. It privileges works that highlight key achievements and outline trends to inspire future research. After a rigorous revision process twenty manuscripts were accepted and organized into four parts as follows: · Modeling: The first part embraces five chapters oriented to: 1) shape the affective behavior; 2) depict the adaptive learning curriculum; 3) predict learning achievements; 4) mine learner models to outcome optimized and adaptive e-learning objects; 5) classify learning preferences of learners. · Content: The second part encompas...
Full Text Available Human cognitive competence represents individuals’ subconscious knowledge of abilities, talents, and mental skills collectively called “multiple intelligences (MIs”, which play a pivotal role in facilitating human learning. Thus, the main objective of the present study was to determine the magnitude of the relationship existing between multiple intelligences and Iranian EFL learners’ level of second language (L2 lexical knowledge on one hand and the partializing impact of gender on the other. For this purpose, from the population of the senior undergraduate students majoring in translation at Islamic Azad University, Khorasgan (Isfahan Branch, Isfahan, Iran, a sample of 88 students, 24 males and 64 females, were randomly selected. First, Mckenzie’s (1999 MIs Inventory was administered to specify the size of individual types of intelligences in each learner’s MIs composite. Then, the learners were provided with Nation’s (2001 receptive level test a week later to gauge their level of L2 lexical knowledge. The findings revealed that the scores on MIs inventory correlated positively with those of L2 lexical knowledge. Alternatively, different types of intelligences served as useful predictors for estimating the quality of learners’ vocabulary knowledge. Finally, it was found out that gender did indeed have a different effect regarding the learners’ vocabulary knowledge.
Quinton, Stephen R.
The World Wide Web (WWW) provides learners and knowledge workers convenient access to vast stores of information, so much that present methods for refinement of a query or search result are inadequate - there is far too much potentially useful material. The problem often encountered is that users usually do not recognise what may be useful until they have progressed some way through the discovery, learning, and knowledge acquisition process. Additional support is needed to structure and identify potentially relevant information, and to provide constructive feedback. In short, support for learning is needed. The learning envisioned here is not simply the capacity to recall facts or to recognise objects. The focus is on learning that results in the construction of knowledge. Although most online learning platforms are efficient at delivering information, most do not provide tools that support learning as envisaged in this chapter. It is conceivable that Web-based learning environments can incorporate software systems that assist learners to form new associations between concepts and synthesise information to create new knowledge. This chapter details the rationale and theory behind a research study that aims to evolve Web-based learning environments into 'intelligent thinking' systems that respond to natural language human input. Rather than functioning simply as a means of delivering information, it is argued that online learning solutions will 1 day interact directly with students to support their conceptual thinking and cognitive development.
Zhang, Lu; Tan, Jianjun; Han, Dan; Zhu, Hao
Machine intelligence, which is normally presented as artificial intelligence, refers to the intelligence exhibited by computers. In the history of rational drug discovery, various machine intelligence approaches have been applied to guide traditional experiments, which are expensive and time-consuming. Over the past several decades, machine-learning tools, such as quantitative structure-activity relationship (QSAR) modeling, were developed that can identify potential biological active molecules from millions of candidate compounds quickly and cheaply. However, when drug discovery moved into the era of 'big' data, machine learning approaches evolved into deep learning approaches, which are a more powerful and efficient way to deal with the massive amounts of data generated from modern drug discovery approaches. Here, we summarize the history of machine learning and provide insight into recently developed deep learning approaches and their applications in rational drug discovery. We suggest that this evolution of machine intelligence now provides a guide for early-stage drug design and discovery in the current big data era. Copyright © 2017 Elsevier Ltd. All rights reserved.
JMLR: Workshop and Conference Proceedings 63:49–64, 2016 ACML 2016 Multiple Kernel Learning with Data Augmentation Khanh Nguyen email@example.com...University, Australia Editors: Robert J. Durrant and Kee-Eung Kim Abstract The motivations of multiple kernel learning (MKL) approach are to increase... kernel expres- siveness capacity and to avoid the expensive grid search over a wide spectrum of kernels . A large amount of work has been proposed to
Wiseman, Liz; Bradwejn, Jacques; Westbroek, Erick M
The authors propose a new model of leadership for the clinical setting. The authors' research suggests that there is latent intelligence inside business and educational organizations because many leaders operate in a way that shuts down the intelligence of others. Such leaders are classified as "Diminishers." In the clinical setting this behavior creates a hidden curriculum in medical education, passing on unprofessional patterns of behavior to future physicians. Other leaders, however, amplify intelligence, produce better outcomes, and grow talent. These leaders are classified as "Multipliers." The authors suggest that Multiplier leadership should become the standard leadership practice in medical schools. Case studies of a Multiplier and a Diminisher are presented and illustrate the positive effect these leaders can have on medical education and health organizations.
This dissertation is a presentation of a theoretical model of an intelligent Learning System (ILS). The approach view intelligent computer-based instruction on a curricular-level and educational-theory base, instead of the conventional instructional-only level. The ILS is divided into two components: (1) macro-level, curricular; and (2) micro-level (MAIS), instructional. The primary purpose of the ILS macro level is to establish the initial conditions of learning by considering individual difference variables within specification of the curriculum content domain. Second, the ILS macro-level will iteratively update the conditions of learning as the individual student progresses through the given curriculum. The term dynamic is used to describe the expert tutor that establishes and monitors the conditions of instruction between the ILS macro level and the micro level. As the student progresses through the instruction, appropriate information is sent back continuously to the macro level to constantly improve decision making for succeeding conditions of instruction.
Leite, Maici Duarte; Marczal, Diego; Pimentel, Andrey Ricardo; Direne, Alexandre Ibrahim
This paper presents the application of some concepts of Intelligent Tutoring Systems (ITS) to elaborate a conceptual framework that uses the remediation of errors with Multiple External Representations (MERs) in Learning Objects (LO). To this is demonstrated a development of LO for teaching the Pythagorean Theorem through this framework. This…
Zhou, Y.; Hu, N.; Spanos, C.J.
We propose Veto-Consensus Multiple Kernel Learning (VCMKL), a novel way of combining multiple kernels such that one class of samples is described by the logical intersection (consensus) of base kernelized decision rules, whereas the other classes by the union (veto) of their complements. The
The aim of this paper is to introduce the importance of emotional intelligence and the extent to which emotional intelligence can be implemented and used to improve language teaching and learning. Since emotional intelligence is perceived to play a crucial part in every aspect of people's lives, it can be extended to language teaching and…
Nozaki, Yuki; Koyasu, Masuo
Emotional competence has recently, become a widespread concern in schools and workplaces, both which deeplyinvolve laypersons. While academic researchers have discussed the status of emotional competence comparedto the traditional intelligence, it is very important to elucidate how laypersons regard emotional competencecompared to traditional intelligence as well. The present study investigated the position of emotional competencein the multiple intelligences theory by assessing laypersons' self-estimates of their abilities and their rating ofthe importance of emotional competence for thriving in society. Participants (N = 584) answered a questionnaireonline. Results showed that laypersons regarded emotional competence as a distinct construct, and most stronglyrelated it to personal intelligence. Moreover, their ratings of the importance of emotional competence and personalintelligence for thriving in society were higher than that of traditional intelligence.
Kumaran, Dharshan; Hassabis, Demis; McClelland, James L
We update complementary learning systems (CLS) theory, which holds that intelligent agents must possess two learning systems, instantiated in mammalians in neocortex and hippocampus. The first gradually acquires structured knowledge representations while the second quickly learns the specifics of individual experiences. We broaden the role of replay of hippocampal memories in the theory, noting that replay allows goal-dependent weighting of experience statistics. We also address recent challenges to the theory and extend it by showing that recurrent activation of hippocampal traces can support some forms of generalization and that neocortical learning can be rapid for information that is consistent with known structure. Finally, we note the relevance of the theory to the design of artificial intelligent agents, highlighting connections between neuroscience and machine learning. Copyright © 2016 Elsevier Ltd. All rights reserved.
Full Text Available The multiple reals of workplace learning are explored in this paper. Drawing on a Foucauldian conceptualisation of power as distributed, relational and productive, networks that work to produce particular objects and subjects as seemingly natural and real are examined. This approach enables different reals of workplace learning to be traced. Data from a collaborative industry-university research project is used to illustrate the approach, with a focus on the intersecting practices of a group of professional developers and a group of workplace learning researchers. The notion of multiple reals holds promise for research on workplace learning as it moves beyond a view of reality as fixed and singular to a notion of reality as performed in and through a diversity of practices, including the practices of workplace learning researchers.
van Schaik, Carel; Graber, Sereina; Schuppli, Caroline; Burkart, Judith
Classical ethology and behavioral ecology did not pay much attention to learning. However, studies of social learning in nature reviewed here reveal the near-ubiquity of reliance on social information for skill acquisition by developing birds and mammals. This conclusion strengthens the plausibility of the cultural intelligence hypothesis for the evolution of intelligence, which assumes that selection on social learning abilities automatically improves individual learning ability. Thus, intelligent species will generally be cultural species. Direct tests of the cultural intelligence hypothesis require good estimates of the amount and kind of social learning taking place in nature in a broad variety of species. These estimates are lacking so far. Here, we start the process of developing a functional classification of social learning, in the form of the social learning spectrum, which should help to predict the mechanisms of social learning involved. Once validated, the categories can be used to estimate the cognitive demands of social learning in the wild.
Fabián Andrés Peña-García
Full Text Available One of the main challenges at present is to achieve high - quality Education, one which takes into account, along with the whole teaching-learning process, the students’ diverse abilities, skills and cognitive, social and emotional aptitudes. The insertion of multiple intelligences, as well as variables such as creativity, may contribute to the development of singular capacities and students’ school performance. Studying the way these variables are related is imperative. The objective of this investigation consists in analyzing the link between Creativity, Multiple Intelligences and Academic Performance among Colombian primary school students. The design for this study is a non-experimental – descriptive – correlating focus, in which a sample of 40 subjects was studied; 20 girls and 20 boys with an age average of 10,051. All of them studying 5th grade in primary school at the Educational Institution Ana Elisa Cuenca Lara, branch Santa Ana, at the municipality of Yaguará – Hulia – Colombia. Their creativity was estimated through the use of two tests, one subjective, Turtle (1980, and one objective of execution EMUC, Sánchez (2006. To meet the Multiple Intelligences, it was applied a full specific inventory filled out by the valued students’ teachers, taken from Valero (2015. For the academic performance, the 2015’s subjects’ school record was taken as a reference. As statistical analysis, it was applied the descriptive – correlating (Person’s correlation coefficient, with the statistical software SPSS, version 2.2. The results obtained confirm all hypotheses contemplated, making evident a statistically meaningful and positive connection between the three variables analyzed. Finally, it analyzes the results for Multiple Intelligences and creativity as empowering strategies for the valued subjects’ academic development in this investigation’s sample
Wee, Su-Jeong; Shin, Hwa-Sik; Kim, Myung-Hee
This article examines young children's role-play in an effort to develop methods with which teachers can enhance children's interpersonal and intrapersonal intelligences. Examining how MI practice is applied in different cultural and social contexts is important because it can provide new insights on enriching and enhancing curricula and…
Full Text Available English is the most important second language in most non-English speaking countries, including Malaysia. A good English proficiency comes from good grasp of grammar. To conquer the problems of low English proficiency among Malaysians, it is important to identify the key motivators that could facilitate the process of grammar learning. In this digital age, technology can play a very important role and mobile technology could be one of it. Thus, this study aims at designing a mobile learning tool, namely the Intelligent Mobile Learning Tool for Grammar Learning (i-MoL to act as the “on-the-go” grammar learning support via mobile phones. i-MoL helps reinforce grammar learning through mobile phone with game-like applications, inquiry-based activities and flashcard-like information. The intelligent part of i-MoL lies in its ability to map the mobile-based grammar learning content to individual’s preferred learning styles based on Felder-Silverman Learning Style Model (FSLSM. The instructional system design through the ADDIE model was used in this study as a systematic approach in designing a novel and comprehensive mobile learning tool for grammar learning. In terms of implications, this study provides insights on how mobile technologies can be utilized to meet the mobility demand among language learners today.
Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, incl
Paula MARCHENA CRUZ
Full Text Available Currently, the Spanish educational system focuses its attention on the development of priority subjects such as language and mathematics versus other secondary such as music (Palacios, 2006, without considering numerous neuropsychological research that provides new theories of mind and learning that can positively influence the transformation of current educational models (Martin-Lobo, 2015. This research aims to determine the relation between musical intelligence, bodily-kinesthetic intelligence, intelligence visuospatial and motor creativity in a sample among 5 years old students from the last year of Early Childhood Education. The instrument used to assess the three intelligences, based on Gardner’s theory, was the Multiple Intelligences questionnaire for children of pre-school age (Prieto and Ballester, 2003; for the evaluation of motor creativity was used Test of Creative Thinking in Action and Movement (Torrance, Reisman and Floyd, 1981. A descriptive and correlational statistical analysis (using the Pearson correlation index applying the Microsoft Excel program along with the supplement known as Ezanalyze. The results indicated no significant relationship between musical intelligence and motor creativity (p = 0.988; the visuospatial intelligence and motor creativity (p = 0.992; and the bodily-kinesthetic intelligence and motor creativity (p = 0.636. Although there was significant relation between the musical and visuospatial intelligence (p = 0.000; the musical and bodily-kinesthetic intelligence (p = 0.000; and the bodily-kinesthetic and visuospatial intelligence (p = 0.025.
ARL-SR-0318 ● MAR 2015 US Army Research Laboratory Fundamentals of Adaptive Intelligent Tutoring Systems for Self-Regulated...Adaptive Intelligent Tutoring Systems for Self-Regulated Learning by Robert A Sottilare Human Research and Engineering Directorate, ARL...TITLE AND SUBTITLE Fundamentals of Adaptive Intelligent Tutoring Systems for Self-Regulated Learning 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c
Oteng, Ellen N.
This dissertation examined the relationships between Howard Gardner's Multiple Intelligence Theory and students' gender, age, grade level, and enrollment into a public or private school. The research determined students' dominant intelligences and investigated whether students' intelligences may be influenced by demographic variables such as…
Hjertø, Kjell B.
A field sample of 1100 employees in the army was investigated to study the relationship between the individuals’ self reported emotional intelligence and learning outcomes in work groups, with two dimensions of emotional conflict as mediators, emotional person conflict and emotional task conflict. Most importantly, emotional intelligence predicted positively learning outcomes and emotional task conflict, and predicted negatively emotional person conflict. Further, emotional task ...
Lu, Jingyang; Li, Lun; Chen, Genshe; Shen, Dan; Pham, Khanh; Blasch, Erik
In this paper, a Cognitive Radio Network (CRN) based on artificial intelligence is proposed to distribute the limited radio spectrum resources more efficiently. The CRN framework can analyze the time-sensitive signal data close to the signal source using fog computing with different types of machine learning techniques. Depending on the computational capabilities of the fog nodes, different features and machine learning techniques are chosen to optimize spectrum allocation. Also, the computing nodes send the periodic signal summary which is much smaller than the original signal to the cloud so that the overall system spectrum source allocation strategies are dynamically updated. Applying fog computing, the system is more adaptive to the local environment and robust to spectrum changes. As most of the signal data is processed at the fog level, it further strengthens the system security by reducing the communication burden of the communications network.
Bråten, Ivar; Strømsø, Helge I
More empirical work is needed to examine the dimensionality of personal epistemology and relations between those dimensions and motivational and strategic components of self-regulated learning. In particular, there is great need to investigate personal epistemology and its relation to self-regulated learning across cultures and academic contexts. Because the demarcation between personal epistemology and implicit theories of intelligence has been questioned, dimensions of personal epistemology should also be studied in relation to implicit theories of intelligence. The primary aim was to examine the dimensionality of personal epistemology and the relation between those dimensions and implicit theories of intelligence in the cultural context of Norwegian postsecondary education. A secondary aim was to examine the relative contribution of epistemological beliefs and theories of intelligence to motivational and strategic components of self-regulated learning in different academic contexts within that culture. The first sample included 178 business administration students in a traditional transmission-oriented instructional context; the second, 108 student teachers in an innovative pedagogical context. The dimensionality of the Schommer Epistemological Questionnaire was examined through factor analyses, and the resulting dimensions were examined in relation to implicit theories of intelligence. We performed multiple regression analyses, separately for the two academic contexts, to try to predict motivational (i.e. self-efficacy beliefs, mastery goal orientation, and interest) and strategic (i.e. self-regulatory strategy use) components of self-regulated learning with epistemological beliefs and implicit theories of intelligence. Considerable cross-cultural generalizability was found for the dimensionality of personal epistemology. Moreover, the dimensions of personal epistemology seemed to represent constructs separate from the construct of implicit theories of
Bouchet, Francois; Azevedo, Roger; Kinnebrew, John S.; Biswas, Gautam
Identification of student learning behaviors, especially those that characterize or distinguish students, can yield important insights for the design of adaptation and feedback mechanisms in Intelligent Tutoring Systems (ITS). In this paper, we analyze trace data to identify distinguishing patterns of behavior in a study of 51 college students…
Sanyal, Rajarshi; Prasad, Ramjee; Cianca, Ernestina
addressing of a node. For a typical closed user group type of network, we propose a multiple access mechanism and network topology which will not only eliminate the need of intelligent core network equipments in the network area , but to use this intelligent physical layer to directly reach any node over......The primary objective of this work is to propose a technique of wireless communication, where we render intelligence to the physical layer. We aim to realize a physical layer that can take part in some processes which is otherwise confined to higher layer signalling activities, like for example...... the fundamentals behind the proposed multiple access scheme and draws out the benefits compared to the existing multiple access processes based on cellular approach....
Sørensen, Lauge; Loog, Marco; Tax, David M. J.
In this paper, we propose to solve multiple instance learning problems using a dissimilarity representation of the objects. Once the dissimilarity space has been constructed, the problem is turned into a standard supervised learning problem that can be solved with a general purpose supervised cla...... between distributions of within- and between set point distances, thereby taking relations within and between sets into account. Experiments on five publicly available data sets show competitive performance in terms of classification accuracy compared to previously published results....
Full Text Available The proposed goal oriented knowledge acquisition and assessment are based on the flexible educational model and allows to implement an adaptive control of the enhanced learning process according to the requirements of student's knowledge level, his state of cognition and subject learning history. The enhanced learner knowledge model specifies how the cognition state of the user will be achieved step by step. The use case actions definition is a starting point of the specification, which depends on different levels of learning scenarios and user cognition sub goals. The use case actions specification is used as a basis to set the requirements for service software specification and attributes of learning objects respectively. The paper presents the enhanced architecture of the student self-evaluation and on-line assessment system TestTool. The system is explored as an assessment engine capable of supporting and improving the individualized intelligent goal oriented self-instructional and simulation based mode of learning, grounded on the GRID distributed service architecture.
Full Text Available Knowledge graph (KG as a popular semantic network has been widely used. It provides an effective way to describe semantic entities and their relationships by extending ontology in the entity level. This article focuses on the application of KG in the traditional geological field and proposes a novel method to construct KG. On the basis of natural language processing (NLP and data mining (DM algorithms, we analyze those key technologies for designing a KG towards geological data, including geological knowledge extraction and semantic association. Through this typical geological ontology extracting on a large number of geological documents and open linked data, the semantic interconnection is achieved, KG framework for geological data is designed, application system of KG towards geological data is constructed, and dynamic updating of the geological information is completed accordingly. Specifically, unsupervised intelligent learning method using linked open data is incorporated into the geological document preprocessing, which generates a geological domain vocabulary ultimately. Furthermore, some application cases in the KG system are provided to show the effectiveness and efficiency of our proposed intelligent learning approach for KG.
Neto, Félix; Furnham, Adrian; Pinto, Maria da Conceição
This study examined estimates of their own, and their parents' general and multiple intelligences. Three hundred and twenty three students from East Timor, and one hundred eighty three students from Portugal estimated their own, and their parents' IQ scores on each of Gardner's ten multiple intelligences. Men believed they were more intelligent than were women on mathematical (logical), spatial, and naturalistic intelligence. There were consistent and clear culture differences. Portuguese gave higher self, and family ratings than Timorese, as expected. Participants of both cultures rated overall intelligence of their father higher than that of their mother. Implications of these results for education and self-presentations are considered.
mind, (ii) forms of mental self-government, and (iii) stylistic preferences. Importantly, Sternberg does not think that cognitive style...summarizes a study examining suitable cognitive and learning styles for intelligent tutoring technologies to improve the Canadian Forces (CF) distance...are the appropriate tool to address CF learning needs, as e-learning systems: • Cater to all individuals in the CF regardless of their cognitive or
JinHyo Joseph Yun
Full Text Available What do we need for sustainable artificial intelligence that is not harmful but beneficial human life? This paper builds up the interaction model between direct and autonomous learning from the human’s cognitive learning process and firms’ open innovation process. It conceptually establishes a direct and autonomous learning interaction model. The key factor of this model is that the process to respond to entries from external environments through interactions between autonomous learning and direct learning as well as to rearrange internal knowledge is incessant. When autonomous learning happens, the units of knowledge determinations that arise from indirect learning are separated. They induce not only broad autonomous learning made through the horizontal combinations that surpass the combinations that occurred in direct learning but also in-depth autonomous learning made through vertical combinations that appear so that new knowledge is added. The core of the interaction model between direct and autonomous learning is the variability of the boundary between proven knowledge and hypothetical knowledge, limitations in knowledge accumulation, as well as complementarity and conflict between direct and autonomous learning. Therefore, these should be considered when introducing the interaction model between direct and autonomous learning into navigations, cleaning robots, search engines, etc. In addition, we should consider the relationship between direct learning and autonomous learning when building up open innovation strategies and policies.
Full Text Available The present study aimed at investigating the hypothetical relationship between the multiple intelligences of test takers and their performance on the reading sections of TOEFL and IELTS. Howard Gardner’s theory of multiple intelligences suggests that intelligence is not a single and solely inborn capacity, rather a multiple construct which is only partly genetic, and can be crystallized or paralyzed over one’s lifetime. Based on the theory, there are eight types of intelligence: linguistic, mathematical, musical, bodily, spatial, intrapersonal, interpersonal and naturalist, but the list is not exhaustive. The multiple intelligences of test takers were estimated by means of MIDAS, the Multiple Intelligences Developmental Assessment Scales, developed by Shearer (1994. Subsequently, the bias detection for the reading section of TOEFL was carried out on 90 participants, and this subtest was found to correlate positively with linguistic and logical intelligences. By the same token, 89 out of the 163 participants in the study were included in the analysis of the relationship between the multiple intelligences of test takers and their performance on the reading section of IELTS, and this test proved biased toward linguistic and spatial intelligences. The implications concern the inadequacy of the definition of language proficiency .Moreover, Measurement-Driven Instruction courses and preparatory materials of the two proficiency tests, TOEFL and IELTS, can benefit from the results of the study by being designed in such a way as to represent the intelligences which are positively correlated with performance on the tests in question.
Sheahan, Linda; While, Alison; Bloomfield, Jacqueline
The teaching and learning of clinical skills is a key component of nurse education programmes. The clinical competency of pre-registration nursing students has raised questions about the proficiency of teaching strategies for clinical skill acquisition within pre-registration education. This study aimed to test the effectiveness of teaching clinical skills using a multiple intelligences teaching approach (MITA) compared with the conventional teaching approach. A randomised controlled trial was conducted. Participants were randomly allocated to an experimental group (MITA intervention) (n=46) and a control group (conventional teaching) (n=44) to learn clinical skills. Setting was in one Irish third-level educational institution. Participants were all first year nursing students (n=90) in one institution. The experimental group was taught using MITA delivered by the researcher while the control group was taught by a team of six experienced lecturers. Participant preference for learning was measured by the Index of Learning Styles (ILS). Participants' multiple intelligence (MI) preferences were measured with a multiple intelligences development assessment scale (MIDAS). All participants were assessed using the same objective structured clinical examination (OSCE) at the end of semester one and semester two. MI assessment preferences were measured by a multiple intelligences assessment preferences questionnaire. The MITA intervention was evaluated using a questionnaire. The strongest preference on ILS for both groups was the sensing style. The highest MI was interpersonal intelligence. Participants in the experimental group had higher scores in all three OSCEs (pmultiple choice questions as methods of assessment. MITA was evaluated positively. The study findings support the use of MITA for clinical skills teaching and advance the understanding of how MI teaching approaches may be used in nursing education. Copyright © 2015 Elsevier Ltd. All rights reserved.
Neto, Félix; da Conceição Pinto, Maria; Mullet, Etienne; Furnham, Adrian
This study focuses on lay conceptions of intelligence. It examined sex and cross-cultural similarities and differences in estimated intelligences and beliefs about intelligence in two countries, Angola and East Timor, within the reversal theory framework. A total of 209 Angolan (109 women and 100 men) and 183 Timorese (89 women and 94 men) students were participated in this study. Participants completed a questionnaire in order to estimate their parents', partners' and own overall intelligence and the 8 reversal multiple intelligences (telic, paratelic, conformist, negativistic, autic mastery, autic sympathy, alloic mastery and alloic sympathy intelligence). Respondents also rated 6 questions about intelligence. Men rated their overall, conformist and autic mastery higher than women. Angolans rated their overall, telic, paratelic, conformist, negativistic, autic mastery, autic sympathy, alloic mastery and alloic sympathy intelligence higher than Timorese. In both countries, fathers have been perceived as more intelligent than mothers, and telic intelligence emerged as a significant predictor of overall intelligence. Principal component analysis of the 8 reversal multiple intelligences yielded one factor. Angolan participants revealed more IQ test experience than Timorese participants. Most of respondents in both countries did not believe in sex differences in intelligence. These findings are discussed by means of cross-cultural literature. © 2015 International Union of Psychological Science.
Wiseman, D. Kim
Historically educators in the United States have used the Stanford-Binet intelligence test to measure a students' ability in logical/mathematical and linguistic domains. This measurement is being used by a society that has evolved from agrarian and industrial-based economies to what is presently labeled a technological society. As society has changed so have the educational needs of the students who will live in this technological society. This study assessed the multiple intelligences of high school students enrolled in theoretical and applied science (physics and applied physics) courses. Studies have verified that performance and outcomes of students enrolled in these courses are similar in standardized testing but instructional methodology and processes are dissimilar. Analysis of multiple intelligence profiles collected from this study found significant differences in logical/mathematical, bodily/kinesthetic and intrapersonal multiple intelligences of students in theoretical science courses compared to students in applied science courses. Those differences clearly illustrate why it is imperative for educators to expand the definition of intelligence for students entering the new millennium.
Hartog, Bobi Kai Den [Univ. of Nebraska, Lincoln, NE (United States)
The Artificial Intelligence field of Integrating Multiple Learned Models (IMLM) explores ways to combine results from sets of trained programs. Aroclor Interpretation is an ill-conditioned problem in which trained programs must operate in scenarios outside their training ranges because it is intractable to train them completely. Consequently, they fail in ways related to the scenarios. We developed a general-purpose IMLM solution, the Combiner, and applied it to Aroclor Interpretation. The Combiner's first step, Scenario Identification (M), learns rules from very sparse, synthetic training data consisting of results from a suite of trained programs called Methods. S1 produces fuzzy belief weights for each scenario by approximately matching the rules. The Combiner's second step, Aroclor Presence Detection (AP), classifies each of three Aroclors as present or absent in a sample. The third step, Aroclor Quantification (AQ), produces quantitative values for the concentration of each Aroclor in a sample. AP and AQ use automatically learned empirical biases for each of the Methods in each scenario. Through fuzzy logic, AP and AQ combine scenario weights, automatically learned biases for each of the Methods in each scenario, and Methods' results to determine results for a sample.
Perez, Carlos E
Deep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition to that, it is technology that can be extremely disruptive. The ramifications to society and even our own humanity will be profound. There are few subjects that are as captivating and as consequential as this. Surprisingly, there is very little that is written about this new technology in a more comprehensive and cohesive way. This book is an opinionated take on the developments of Deep Learning AI. One question many have will be "how to apply Deep Learning AI in a business context?" Technology that is disruptive does not automatically imply that its application to valuable use cases will be apparent. For years, many people could not figure out how to monetize the World Wide Web. We are in a similar situation with Deep Learning AI. The developments may be mind-boggling but its monetization is far from being obvious. This book presents a framework to address this shortcomi...
influenced by some other factors, including the learning and motivational backgrounds of the learners. These all .... enabling them to understand, perceive and express the world ...... emotional expression, social interaction and a wide range of ...
Rad, Rezvan Sajjadi; Khojasteh, Laleh; Kafipour, Reza
The problem which this research intended to resolve is that beside many differences between individuals' characteristics that might impact their language learning process, there's often a different neglected component which is "Intelligence". Although there are several researches about the relationship between students' multiple…
Full Text Available In multiple reversal learning, animals trained to discriminate a reinforced from a non-reinforced stimulus are subjected to various, successive reversals of stimulus contingencies (e.g. A+ vs. B-, A- vs. B+, A+ vs. B-. This protocol is useful to determine whether or not animals learn to learn and solve successive discriminations faster (or with fewer errors with increasing reversal experience. Here we used the olfactory conditioning of proboscis extension reflex to study how honeybees Apis mellifera perform in a multiple reversal task. Our experiment contemplated four consecutive differential conditioning phases involving the same odors (A+ vs. B- to A- vs. B+ to A+ vs. B- to A- vs. B+. We show that bees in which the weight of reinforced or non-reinforced stimuli was similar mastered the multiple olfactory reversals. Bees which failed the task exhibited asymmetric responses to reinforced and non-reinforced stimuli, thus being unable to rapidly reverse stimulus contingencies. Efficient reversers did not improve their successive discriminations but rather tended to generalize their choice to both odors at the end of conditioning. As a consequence, both discrimination and reversal efficiency decreasedalong experimental phases. This result invalidates a learning-to-learn effect and indicates that bees do not only respond to the actual stimulus contingencies but rather combine these with an average of past experiences with the same stimuli.
Almeida, Leandro S; Prieto, María Dolores; Ferreira, Arístides; Ferrando, Mercedes; Ferrandiz, Carmen; Bermejo, Rosario; Hernández, Daniel
The independence of multiple intelligences (MI) of Gardner's theory has been debated since its conception. This article examines whether the one- factor structure of the MI theory tested in previous studies is invariant for low and high ability students. Two hundred ninety-four children (aged 5 to 7) participated in this study. A set of Gardner's Multiple Intelligence assessment tasks based on the Spectrum Project was used. To analyze the invariance of a general dimension of intelligence, the different models of behaviours were studied in samples of participants with different performance on the Spectrum Project tasks with Multi-Group Confirmatory Factor Analysis (MGCFA). Results suggest an absence of structural invariance in Gardner's tasks. Exploratory analyses suggest a three-factor structure for individuals with higher performance levels and a two-factor structure for individuals with lower performance levels.
Full Text Available The theory of multiple intelligences, which has been successfully used in the education and teaching reform in the west, has been brought forward for many years. Many researches have been done and some achievements are attained in our country at the end of the twentieth century, but it is different from theoretical discussion when it was in practical use. The current higher education system plays a great constraining role, which represents control phenomenon among the talent training and the evaluation system of teachers. It is extreme necessary to explore the feasible education reformation route, regarding the multiple intelligence theory as the basic guiding ideology. Confirming the training objectives of colleges and universities, providing students with practice opportunities, and focusing on the development of individual superior intelligence will be used as a reference for the reform and development of higher education.
Full Text Available Multiple intelegence is integrated inteligence possessed by anyone. Intelligence has been difined as the composition of ability and skill. Multiple intelligence consists of nine types of intelligence, i.e. linguistic, logic-mathematic, spatial, musical, kinesthetic, interpersonal, intrapersonal, naturalistic and extencial intelligence, each of which has its own characteristics. Multiple intelligence learning strategy empowers students to access information through intelligence that they do have respectively. To activate the students’ multiple intelligence, teachers can train the students to listening, reading, writing and balanced-intelligence. This strategy can be adopted by teachers with ubique focus for each student with his/ her most outstanding intelligence.
Hoerig, Dianne C; David, Andrew S; D'Amato, Rik Carl
Although both intelligence tests and memory tests are commonly used in neuropsychological examinations, the relationship between memory and intelligence has not been fully explored, particularly for children having learning disabilities. Memory, or the ability to retain information, was evaluated using the Test of Memory and Learning, a recently released test that gives a comprehensive measure of global memory functioning. This, and the Wechsler Intelligence Scale for Children-Third Edition, used to assess intelligence, were given to 80 students with learning disabilities. The correlation between a global measure of memory and a global measure f intelligence was significant (r = .59), indicating that memory should be viewed as an important component when evaluating children with learning disabilities.
Liao, Xiaoqun; Cao, Ming; Hall, Ernest L.
Intelligent industrial and mobile robots may be considered proven technology in structured environments. Teach programming and supervised learning methods permit solutions to a variety of applications. However, we believe that to extend the operation of these machines to more unstructured environments requires a new learning method. Both unsupervised learning and reinforcement learning are potential candidates for these new tasks. The adaptive critic method has been shown to provide useful approximations or even optimal control policies to non-linear systems. The purpose of this paper is to explore the use of new learning methods that goes beyond the adaptive critic method for unstructured environments. The adaptive critic is a form of reinforcement learning. A critic element provides only high level grading corrections to a cognition module that controls the action module. In the proposed system the critic's grades are modeled and forecasted, so that an anticipated set of sub-grades are available to the cognition model. The forecasting grades are interpolated and are available on the time scale needed by the action model. The success of the system is highly dependent on the accuracy of the forecasted grades and adaptability of the action module. Examples from the guidance of a mobile robot are provided to illustrate the method for simple line following and for the more complex navigation and control in an unstructured environment. The theory presented that is beyond the adaptive critic may be called creative theory. Creative theory is a form of learning that models the highest level of human learning - imagination. The application of the creative theory appears to not only be to mobile robots but also to many other forms of human endeavor such as educational learning and business forecasting. Reinforcement learning such as the adaptive critic may be applied to known problems to aid in the discovery of their solutions. The significance of creative theory is that it
Full Text Available A key goal of educational neuroscience is to conduct constrained experimental research that is theory-driven and yet also clearly related to educators’ complex set of questions and concerns. However, the fields of education, cognitive psychology and neuroscience use different levels of description to characterize human ability. An important advance in research in educational neuroscience would be the identification of a cognitive and neurocognitive framework at a level of description relatively intuitive to educators. I argue that the theory of multiple intelligences (Gardner, 1983, a conception of the mind that motivated a past generation of teachers, may provide such an opportunity. I criticize MI for doing little to clarify for teachers a core misunderstanding, specifically that MI was only an anatomical map of the mind but not a functional theory that detailed how the mind actually processes information. In an attempt to build a functional MI theory, I integrate into MI basic principles of cognitive and neural functioning, namely interregional neural facilitation and inhibition. In so doing I hope to forge a path towards constrained experimental research that bears upon teachers’ concerns about teaching and learning.
El Sherief Eman
Full Text Available The second half of the twentieth century is a witness to an unprecedentedly soaring increase in the number of students joining the arena of higher education(UNESCO,2001. Currently, the number of students at Saudi universities and colleges exceeds one million vis-à-vis 7000 in 1970(Royal Embassy of Saudi Arabia, Washington. Such enormous body of learners in higher education is per se diverse enough to embrace distinct learning styles, assorted repertoire of backgrounds, prior knowledge, experiences, and perspectives; at this juncture, they presumably share common aspiration which is hooking a compatible post in the labor market upon graduation, and to subsequently be capable of acting competently in a scrupulously competitive workplace environment. Bunch of potentialities and skills are patently vital for a graduate to reach such a prospect. Such bunch of skills in a conventional undergraduate paradigm of education were given no heed, being rather postponed to the post-graduation phase. The current Paper postulated tremendous merits of deploying the Multiple Intelligences theory as a project-based approach, within literature classes in higher education; a strategy geared towards reigniting students’ engagement, nurturing their critical thinking capabilities, sustaining their individualistic dispositions, molding them as inquiry-seekers, and ending up engendering life-long, autonomous learners, well-armed with the substantial skills for traversing the rigorous competition in future labor market.
Afshar, Hassan Soodmand; Tofighi, Somayyeh; Hamazavi, Raouf
The idea that language learning is facilitated or inhibited by a multitude of factors has prompted scholars in the field to investigate variables considered to be crucial in the process of second or foreign language learning. This study investigated relationships between emotional intelligence, learning style, language learning strategy use, and…
Bray, S. E.
A vision was presented in a previous paper of how a common set of services within a framework could be used to provide all the information processing needs of Warfighters. Central to that vision was the concept of a "Virtual Knowledge Base". The paper presents an implementation of these ideas in the intelligence domain. Several innovative technologies were employed in the solution, which are presented and their benefits explained. The project was successful, validating many of the design principles for such a system which had been proposed in earlier work. Many of these principles are discussed in detail, explaining lessons learned. The results showed that it is possible to make vast improvements in the ability to exploit available data, making it discoverable and queryable wherever it is from anywhere within a participating network; and to exploit machine reasoning to make faster and better inferences from available data, enabling human analysts to spend more of their time doing more difficult analytical tasks rather than searching for relevant data. It was also demonstrated that a small number of generic Information Processing services can be combined and configured in a variety of ways (without changing any software code) to create "fact-processing" workflows, in this case to create different intelligence analysis capabilities. It is yet to be demonstrated that the same generic services can be reused to create analytical/situational awareness capabilities for logistics, operations, planning or other military functions but this is considered likely.
Lee, Jimin; Hustad, Katherine C.; Weismer, Gary
Purpose: Speech acoustic characteristics of children with cerebral palsy (CP) were examined with a multiple speech subsystems approach; speech intelligibility was evaluated using a prediction model in which acoustic measures were selected to represent three speech subsystems. Method: Nine acoustic variables reflecting different subsystems, and…
Dixon, Pauline; Humble, Steve; Chan, David W.
This study was carried out with 1,857 poor children from 17 schools, living in low-income areas of Dar Es Salaam, Tanzania. All children took the "Student Multiple Intelligences Profile" (SMIP) questionnaire as part of a bigger project that gathered data around concepts and beliefs of talent. This paper sets out two aims, first to…
McFarlane, Donovan A.
This paper examines the theory of Multiple Intelligences (MI) as the most viable and effective platform for 21st century educational and instructional methodologies based on the understanding of the value of diversity in today's classrooms and educational institutions, the unique qualities and characteristics of individual learners, the…
Abdi, Ali; Laei, Susan; Ahmadyan, Hamze
The purpose of this study was to investigate the effects of Teaching Strategy based on Multiple Intelligences on students' academic achievement in sciences course. Totally 40 students from two different classes (Experimental N = 20 and Control N = 20) participated in the study. They were in the fifth grade of elementary school and were selected…
Kandeel, Refat A. A.
The purpose of this study was to determine the multiple intelligences patterns of students at King Saud University and its relationship with academic achievement for the courses of Mathematics. The study sample consisted of 917 students were selected a stratified random manner, the descriptive analysis method and Pearson correlation were used, the…
In this study, it is aimed to determine the effects of the "Multiple Intelligence Theory" on the retention and achievement of the students according to Bloom Taxonomy. This study is a research as an experimental model. Research in academic year of 2008/2009 in Foca Izmir Lesbos Reha Country High School 9 Class is conducted on students.…
Davoudi, Mohammad; Chavosh, Milad
The present paper aimed at investigating the relationship between listening self-efficacy and multiple intelligences of Iranian EFL learners. Initially, ninety intermediate male learners were selected randomly from among 20 intermediate classes in a Language Academy in Yazd. In order to assure the homogeneity of the participants in terms of…
Gündüz, Zennure Elgün; Ünal, Ismail Dogan
This study aims at exploring the effects of multiple intelligences activities versus traditional method on English writing development of the sixth grade students in Turkey. A quasi-experimental research method with a pre-test post-test design was applied. The participants were 50 sixth grade students at a state school in Ardahan in Turkey. The…
Full Text Available Pembelajaran matematika di kelas III SDN Brayublandong masih menggunakan pembelajaran bersifat teacher centered dengan metode konvesional sehingga mengakibatkan siswa pasif dan hasil belajarnya kurang optimal. Siswa kelas III SDN Brayublandong memiliki berbagai karakteristik kecerdasan yang beragam. Oleh karena kecerdasan siswa beragam, dalam proses pembelajaran guru dituntut untuk dapat memfasilitasi setiap kecerdasan yang ada. Penelitian ini bertujuan untuk mendeskripsikan perangkat pembelajaran, mengetahui pengaruh, dan mendeskripsikan efektivitas pembelajaran berbasis multiple intelligences terhadap hasil belajar siswa. Jenis penelitian ini adalah True Experimental Design dengan desain Pretest-Postest control group design. Sampel yang digunakan adalah seluruh siswa kelas III SDN Brayublandong yang dipilih secara acak.Data hasil instrumen tes dianalisis dengan uji statistik. Hasil rata-rata uji gain ternormalisasi sebesar 0,72 dengan kategori tinggi, hasil uji determinasi memiliki pengaruh sebesar 63% dan analisis uji-t menunjukkan bahwa thitung sebesar 6,008 > ttabel sebesar 2,080, artinya terdapat pengaruh antara pembelajaran berbasis Multiple Intelligences terhadap hasil belajar matematika siswa kelas III SDN Brayublandong. Efektivitas pembelajaran berbasis Multiple Intelligences dilihat dari rata-rata hasil belajar siswa sebesar 81,04 > KKM, rata-rata aktivitas guru= 3,88 dengan kriteria sangat baik, rata-rata aktivitas siswa = 3,58 dengan kriteria sangat baik, dan rata-rata respon positif siswa = 97,39% dengan kriteria sangat kuat. Kata kunci: pembelajaran berbasis multiple intelligences, hasil belajar
Owolabi, Tunde; Okebukola, Foluso
This study explored the effects of appropriate pedagogical skills (study groups and multiple intelligences) on students' efficiencies in reading skills. It employed a factorial design using three variables. A sample of 90 science students choosing from three intact classes were involved in the study. Data analyses were carried out using mean,…
Taspinar, Seyda Eraslan; Kaya, Ali
Objectives of the study are to determine the effect of teaching based on multiple intelligence theory (TBMIT) in visual arts class on student success and permanence. Experimental design is used in the study. Study group is composed of students at 8th grade in 2012-2013 educational term at Atatürk Secondary School in Igdir city centre. Experimental…
Full Text Available The aim of the research was to investigate the effects of multiple intelligences instruction strategy and traditional instructionalenvironment on students’ achievement and their attitude towards English lesson. The research was carried out in 2009 – 2010education-instruction year in Karatli Sehit Sahin Yilmaz Elementary School, Nigde, Turkey. Totally 60 students in two differentclasses in the 4th grade of this school participated in the study. In this study, an experimental method with a control group hasbeen used in order to find out the difference between the students who were taught by multiple intelligences instructionstrategy in the experiment group and the students who were taught by traditional instructional methods in the control group.The results of the research showed a significant difference between the attitude scores of the experiment group and thecontrol group. It was also found out that the multiple intelligences instruction strategy activities were more effective in thepositive development of the students’ attitudes. At the end of the research, it is revealed that the students who are educatedby multiple intelligences instruction strategy are more successful and have a higher motivation level than the students who areeducated by the traditional instructional methods.
Razmjoo, Seyyed Ayatollah; Jozaghi, Zahra
This study aims at evaluating Top-Notch series through a checklist devised by the researchers based on the elements of the Multiple Intelligences (MI) theory proposed by Gardner (1998). With the shift from teacher-centered classrooms to learner-centered one, more and more research is needed to be done in the realm of students' need analysis. One…
Tabari, Mahmoud Abdi; Tabari, Iman Abdi
The major thrust of this research was to investigate the cognitive aspect of the high school textbooks and interchange series, due to their extensive use, through content analysis based on Bloom's taxonomy and Gardner's Multiple Intelligences (MI). This study embraced two perspectives in a grid in order to broaden and deepen the analysis by…
Anderson, Virginia B.
The report describes an experiment for increasing retention of foreign language vocabulary by using multiple intelligence approaches and memory enhancement tools. The targeted population was approximately 100 seventh- and eighth-grade Latin students. Student difficulty with vocabulary retention had been ascribed to the teacher's emphasis on…
Sussman, Joan E.; Tjaden, Kris
Purpose: The primary purpose of this study was to compare percent correct word and sentence intelligibility scores for individuals with multiple sclerosis (MS) and Parkinson's disease (PD) with scaled estimates of speech severity obtained for a reading passage. Method: Speech samples for 78 talkers were judged, including 30 speakers with MS, 16…
So, we introduce this activity as an applicable outdoor model which displays innovations in teaching and learning and demonstrates one of the methods of surpassing the traditional indoor methods. It could be extended to other topics of organic chemistry or other branches of chemistry. [AJCE, 3(1), January 2013] ...
Niewoehner, Kevin R.; Carter, John (Technical Monitor)
The research accomplishments for the cooperative agreement 'Online Learning Flight Control for Intelligent Flight Control Systems (IFCS)' include the following: (1) previous IFC program data collection and analysis; (2) IFC program support site (configured IFC systems support network, configured Tornado/VxWorks OS development system, made Configuration and Documentation Management Systems Internet accessible); (3) Airborne Research Test Systems (ARTS) II Hardware (developed hardware requirements specification, developing environmental testing requirements, hardware design, and hardware design development); (4) ARTS II software development laboratory unit (procurement of lab style hardware, configured lab style hardware, and designed interface module equivalent to ARTS II faceplate); (5) program support documentation (developed software development plan, configuration management plan, and software verification and validation plan); (6) LWR algorithm analysis (performed timing and profiling on algorithm); (7) pre-trained neural network analysis; (8) Dynamic Cell Structures (DCS) Neural Network Analysis (performing timing and profiling on algorithm); and (9) conducted technical interchange and quarterly meetings to define IFC research goals.
Nur Ihsan Halil
Full Text Available This article is inspired by Howard Gardner's concept of linguistic intelligence and also from some authors' previous writings. All of them became the authors' reference in developing ideas on constructing a literary learning model based on linguistic intelligence. The writing of this article is not done by collecting data empirically, but by developing and constructing an existing concept, namely the concept of linguistic intelligence, which is disseminated into a literature-based learning of verbal-linguistic intelligence. The purpose of this paper is to answer the question of how to apply the literary learning model based on the verbal-linguistic intelligence. Then, regarding Gardner's concept, the author formulated a literary learning model based on the verbal-linguistic intelligence through a story-telling learning model with five steps namely arguing, discussing, interpreting, speaking, and writing about literary works. In short, the writer draw a conclusion that learning-based models of verbal-linguistic intelligence can be designed with attention into five components namely (1 definition, (2 characteristics, (3 teaching strategy, (4 final learning outcomes, and (5 figures.
Multiple intelegence is integrated inteligence possessed by anyone. Intelligence has been difined as the composition of ability and skill. Multiple intelligence consists of nine types of intelligence, i.e. linguistic, logic-mathematic, spatial, musical, kinesthetic, interpersonal, intrapersonal, naturalistic and extencial intelligence, each of which has its own characteristics. Multiple intelligence learning strategy empowers students to access information through intelligence that they do ha...
Zheng, Bo; Li, Yan-Feng; Huang, Hong-Zhong
For the recognition principle based optimized single center, one important issue is that the data with nonlinear separatrix cannot be recognized accurately. In order to solve this problem, a novel recognition strategy based on adaptive optimized multiple centers is proposed in this paper. This strategy recognizes the data sets with nonlinear separatrix by the multiple centers. Meanwhile, the priority levels are introduced into the multi-objective optimization, including recognition accuracy, the quantity of optimized centers, and distance relationship. According to the characteristics of various data, the priority levels are adjusted to ensure the quantity of optimized centers adaptively and to keep the original accuracy. The proposed method is compared with other methods, including support vector machine (SVM), neural network, and Bayesian classifier. The results demonstrate that the proposed strategy has the same or even better recognition ability on different distribution characteristics of data.
Munsawaengsub, Chokchai; Yimklib, Somkid; Nanthamongkolchai, Sutham; Apinanthavech, Suporn
To study the effect of promoting self-esteem by participatory learning program on emotional intelligence among early adolescents. The quasi-experimental study was conducted in grade 9 students from two schools in Bangbuathong district, Nonthaburi province. Each experimental and comparative group consisted of 34 students with the lowest score of emotional intelligence. The instruments were questionnaires, Program to Develop Emotional Intelligence and Handbook of Emotional Intelligence Development. The experimental group attended 8 participatory learning activities in 4 weeks to Develop Emotional Intelligence while the comparative group received the handbook for self study. Assessment the effectiveness of program was done by pre-test and post-test immediately and 4 weeks apart concerning the emotional intelligence. Implementation and evaluation was done during May 24-August 12, 2005. Data were analyzed by frequency, percentage, mean, standard deviation, Chi-square, independent sample t-test and paired sample t-test. Before program implementation, both groups had no statistical difference in mean score of emotional intelligence. After intervention, the experimental group had higher mean score of emotional intelligence both immediately and 4 weeks later with statistical significant (p = 0.001 and self-esteem by participatory learning process could enhance the emotional intelligence in early-adolescent. This program could be modified and implemented for early adolescent in the community.
Rebeca Elena Tapia Carlín
Full Text Available This article describes a study conducted in a Mexican English teacher education program about multiple intelligences. Seventy-four first year students participated in the study. Findings reveal that the highest kinds of intelligences were the bodily kinesthetic, the interpersonal, the intrapersonal, and the musical; the lowest ones were the naturalist, the existential, the verbal linguistic, the logical mathematical, and the visual spatial. The authors suggest that it is important to diagnose and promote these intelligences in trainees in a systematic way in order to equip them with knowledge and experience of multiple intelligences in order to use them in their future teacher practice.
Baklashova, Tatiana A.; Galishnikova, Elena M.; Khafizova, Liliya A.
The relevance of the topic is due to the enhancing role of emotional intelligence in second language learning. The article aims to substantiate that emotional intelligence (EI) strengthens training quality of future professionals, gives it an emotional color, and thereby increases a variety of intellectual skills. The leading methodical approaches…
Muuro, Maina Elizaphan; Oboko, Robert; Wagacha, Waiganjo Peter
In this paper we explore the impact of an intelligent grouping algorithm based on learners' collaborative competency when compared with (a) instructor based Grade Point Average (GPA) method level and (b) random method, on group outcomes and group collaboration problems in an online collaborative learning environment. An intelligent grouping…
Hali, Nur Ihsan
This article is inspired by Howard Gardner's concept of linguistic intelligence and also from some authors' previous writings. All of them became the authors' reference in developing ideas on constructing a literary learning model based on linguistic intelligence. The writing of this article is not done by collecting data empirically, but by…
The purpose of this study was to determine the nature of the relationship between the emotional intelligence of the school principal and the school as a learning organization. These constructs originated in the business world and have recently been examined within the context of education. Studies on principal emotional intelligence have shown the…
Kanagarajan, Sujith; Ramakrishnan, Sivakumar
Ubiquitous Learning Environment (ULE) has been becoming a mobile and sensor based technology equipped environment that suits the modern world education discipline requirements for the past few years. Ambient Intelligence (AmI) makes much smarter the ULE by the support of optimization and intelligent techniques. Various efforts have been so far…
Wallace, Scott A.; McCartney, Robert; Russell, Ingrid
Project MLeXAI [Machine Learning eXperiences in Artificial Intelligence (AI)] seeks to build a set of reusable course curriculum and hands on laboratory projects for the artificial intelligence classroom. In this article, we describe two game-based projects from the second phase of project MLeXAI: Robot Defense--a simple real-time strategy game…
Podeschi, R. J.
This paper reports on the use of QlikView business intelligence software for use in a Business Intelligence (BI) course within an undergraduate information systems program. The course provides students with concepts related to data warehousing, data mining, visualizations, and software tools to provide business intelligence solutions for decision…
Full Text Available One of the fundamental concerns in education is the management and the improvement of principals and teachers’ performance where selecting intelligent and capable managers can help solve many of present challenges and problems. Various researches conducted so far indicate that commonly the effective principals enjoy some of the essential multiple intelligences. In the present study, the relationship between the three types of Maneh & Semelqan high school principals and teachers’ intelligences, namely, intrapersonal intelligence, interpersonal intelligence, and verbal/linguistic intelligence and the strategic thinking skills was investigated. The research method was descriptive-correlational and the population consisted of 200 subjects of whom 127 were randomly selected. After assigning the subjects to the investigation, 127 questionnaires were distributed among them. Two standard questionnaires of multiple intelligences and strategic thinking skills were administered where Cronbach’s Alpha for the multiple intelligences was 0.893 and that of the strategic thinking skills was 0.944. To analyze the data, the researchers used the SPSS19 package and the EXCELL2013. The frequency distribution tabulation was organized by using descriptive statistics and the Pearson correlation test was based on the inferential statistics employed in the present study. At the end, the findings of study indicated that there was a significant relationship between high school principals and teachers’ multiple intelligences and their strategic thinking skills.
Valle, Antonio; Cabanach, Ramón G; Núnez, José C; González-Pienda, Julio; Rodríguez, Susana; Piñeiro, Isabel
The type of academic goals pursued by students is one of the most important variables in motivational research in educational contexts. Although motivational theory and research have emphasised the somewhat exclusive nature of two types of goal orientation (learning goals versus performance goals), some studies (Meece, 1994; Seifert, 1995, 1996) have shown that the two kinds of goals are relatively complementary and that it is possible for students to have multiple goals simultaneously, which guarantees some flexibility to adapt more efficaciously to various contexts and learning situations. The principal aim of this study is to determine the academic goals pursued by university students and to analyse the differences in several very significant variables related to motivation and academic learning. Participants were 609 university students (74% women and 26% men) who filled in several questionnaires about the variables under study. We used cluster analysis ('quick cluster analysis' method) to establish the different groups or clusters of individuals as a function of the three types of goals (learning goals, performance goals, and social reinforcement goals). By means of MANOVA, we determined whether the groups or clusters identified were significantly different in the variables that are relevant to motivation and academic learning. Lastly, we performed ANOVA on the variables that revealed significant effects in the previous analysis. Using cluster analysis, three groups of students with different motivational orientations were identified: a group with predominance of performance goals (Group PG: n = 230), a group with predominance of multiple goals (Group MG: n = 238), and a group with predominance of learning goals (Group LG: n = 141). Groups MG and LG attributed their success more to ability, they had higher perceived ability, they took task characteristics into account when planning which strategies to use in the learning process, they showed higher persistence
Clark, Dav; Ivry, Richard B
Motor learning is a ubiquitous feature of human competence. This review focuses on two particular classes of model tasks for studying skill acquisition. The serial reaction time (SRT) task is used to probe how people learn sequences of actions, while adaptation in the context of visuomotor or force field perturbations serves to illustrate how preexisting movements are recalibrated in novel environments. These tasks highlight important issues regarding the representational changes that occur during the course of motor learning. One important theme is that distinct mechanisms vary in their information processing costs during learning and performance. Fast learning processes may require few trials to produce large changes in performance but impose demands on cognitive resources. Slower processes are limited in their ability to integrate complex information but minimally demanding in terms of attention or processing resources. The representations derived from fast systems may be accessible to conscious processing and provide a relatively greater measure of flexibility, while the representations derived from slower systems are more inflexible and automatic in their behavior. In exploring these issues, we focus on how multiple neural systems may interact and compete during the acquisition and consolidation of new behaviors. Copyright © 2010 John Wiley & Sons, Ltd. This article is categorized under: Psychology > Motor Skill and Performance. Copyright © 2010 John Wiley & Sons, Ltd.
National Aeronautics and Space Administration — Building an autonomous architecture that uses directed self-learning neuro-fuzzy networks with the aim of developing an intelligent autonomous collision avoidance...
de Castro-Santos, Amable; Fajardo, Waldo; Molina-Solana, Miguel
Our students taking the Artificial Intelligence and Knowledge Engineering courses often encounter a large number of problems to solve which are not directly related to the subject to be learned. To solve this problem, we have developed a game based e-learning system. The elected game, that has been implemented as an e-learning system, allows to…
Jovanovic, Jelena; Gasevic, Dragan; Torniai, Carlo; Bateman, Scott; Hatala, Marek
Today's technology-enhanced learning practices cater to students and teachers who use many different learning tools and environments and are used to a paradigm of interaction derived from open, ubiquitous, and socially oriented services. In this context, a crucial issue for education systems in general, and for Intelligent Learning Environments…
Huang, Chenn-Jung; Chen, Chun-Hua; Luo, Yun-Cheng; Chen, Hong-Xin; Chuang, Yi-Ta
Recently, a lot of open source e-learning platforms have been offered for free in the Internet. We thus incorporate the intelligent diagnosis and assessment tool into an open software e-learning platform developed for programming language courses, wherein the proposed learning diagnosis assessment tools based on text mining and machine learning…
Cavaleri, Steven A.; Fearon, David S.
Project management provides a natural home for organizational learning, freeing it from mechanical processes. Organizational learning plays a critical role in intelligent project management, which combines manageability, performance outcomes of knowledge management, and innovation. Learning should be integrated into an organization's core…
Kliegel, Matthias; Altgassen, Mareike
The present study investigated fluid and crystallized intelligence as well as strategic task approaches as potential sources of age-related differences in adult learning performance. Therefore, 45 young and 45 old adults were asked to learn pictured objects. Overall, young participants outperformed old participants in this learning test. However,…
Yusri, Yusri; Emzir, Emzir
The objective of this study is to know the effects of learning models (problem solving and project based learning) and linguistic intelligence on the students of persuasive writing skill of the fourth semester students of English Department, State Polytechnic of Sriwijaya Palembang, in the academic year of 2016-2017. The writer used linguistic intelligence test and persuasive writing test to collect the data. The data was analyzed statistically by using two-factor ANOVA a...
Full Text Available Educational institution is an institution of the brain industry. Therefore, education is a vehicle for mental exercise. With education will be able to sharpen the brain to form human beings quality. Qualified people are intelligent human beings comprehensive and competitive savvy are reflected in personal moral, creative, and productive and full responsibility in living our daily lives. But the spotlight and complaints against educational institutions still occur, various perceived problems among students learn the lower interest. Students tend to subjects who tested nationally (National Examination, the methods used by teachers in teaching the more commonly used methods of lecture and question and answer, sometimes the discussion so that the lessons seem monotonous and less innovative, subjects received more students cederung nature doctrine in the form of memorization alone and rarely developed in the context of everyday life so that lessons just more leads to mastery of concepts and tend to train cognitive abilities-intellectual, not a lot of touching the realm of other intelligence in accordance with the potential of the students. The other problem is the tendency of the still rampant behavior is not commendable at this time in various forms, for example, students commit suicide because they do not pass the exam, involved in drugs, fighting between students, the behavior of cheating, careless, style punky, smoking, going out, and so become a reason for choosing this topic as study materials. The problem is what strengthens the belief writers to examine and assess the importance of the development of multiple intelligence through integrative learning-based game in an attempt to develop students' potential intelligence to realize a comprehensive and intelligent smart students competitive. This paper formulated into some discussion that begins with an introduction that lists reasons for the importance of this issue is discussed, and then
Xu, Bin; Sun, Fuchun
This paper addresses the dynamic surface control of uncertain nonlinear systems on the basis of composite intelligent learning and disturbance observer in presence of unknown system nonlinearity and time-varying disturbance. The serial-parallel estimation model with intelligent approximation and disturbance estimation is built to obtain the prediction error and in this way the composite law for weights updating is constructed. The nonlinear disturbance observer is developed using intelligent approximation information while the disturbance estimation is guaranteed to converge to a bounded compact set. The highlight is that different from previous work directly toward asymptotic stability, the transparency of the intelligent approximation and disturbance estimation is included in the control scheme. The uniformly ultimate boundedness stability is analyzed via Lyapunov method. Through simulation verification, the composite intelligent learning with disturbance observer can efficiently estimate the effect caused by system nonlinearity and disturbance while the proposed approach obtains better performance with higher accuracy.
Izquierdo, Guillermo; Mir, Jordi; Gonzalez, Manuel; Martinez-Parra, Carlos; Campoy, Francisco Jr
Thirty-five patients with definite multiple sclerosis (MS) were studied. They underwent neuropsychological testing and magnetic resonance imaging (MRI). The MRI findings at different brain areas levels were compared with the neuropsychological findings. A quantitative system was used to measure MRI-MS lesions. In this series, a positive correlation was established between memory and learning disturbances measured by Battery 144, and the lesions measured by MRI (total, hemispheric and , particularly, periventricular lesions). MRI can detect MS lesions, and this study shows that a correlation between MRI and neuropsychological findings is possible if quantitative methods are used to distinguish different MS involvement areas in relation to neuropsychological tasks. These findings suggest that hemispheric lesions in MS produce cognitive disturbances and MRI could be a useful tool in predicting memory and learning impairment. (author). 20 refs.; 1 fig.; 2 tabs
Tapia Carlín, Rebeca Elena; Castillo Salazar, María del Carmen; Velázquez Cortés, Susana
This article describes a study conducted in a Mexican English teacher education program about multiple intelligences. Seventy-four first year students participated in the study. Findings reveal that the highest kinds of intelligences were the bodily kinesthetic, the interpersonal, the intrapersonal, and the musical; the lowest ones were the…
Azid, Nurulwahida Hj; Yaacob, Aizan; Shaik-Abdullah, Sarimah
Purpose: Howard Gardners' concept of multiple intelligence (MI) offers an alternative perspective on intelligence which highlights the importance of acknowledging learner diversity, individual talents and the development of human potentials. MI has been used as a basis for the construction of modular enrichment activities to facilitate the…
Short, Joy E.
Effective strategies for the recruitment and retention of a diverse student body in undergraduate nutrition and dietetics programs are needed in order for graduates to effectively meet the health and nutrition needs of a diverse clientele. One way to promote diversity and improve teaching methods in dietetics education is through a framework based on Howard Gardner's Theory of Multiple Intelligences (MI). The theory suggests that individuals possess varying degrees of eight different intelligences which are shaped by genetics and cultural context. Relatively little research has been conducted to investigate MI approaches in the areas of higher education, cross-cultural education, or dietetics education. Therefore, this study investigated the MI profiles of students within undergraduate nutrition programs at Universidad Iberoamericana in Mexico City, Mexico and Saint Louis University in St. Louis, Missouri, United States. Data were collected through the Multiple Intelligences Developmental Assessment Scales (MIDAS). The findings provide a profile of the intellectual dispositions for the study population and suggest that dietetics students in this cross-cultural study population score highest for the MIDAS scale measuring interpersonal intelligence, with significant differences occurring between scores for the eight intelligences measured by the MIDAS. Not only were there significant differences between scale scores when analyzing the population as a whole, there were also significant differences in scale scores when comparing American and Mexican students. This phenomenon was also true when scores were grouped into five ordinal categories. In addition, the findings suggest that differences exist among the particular skills associated with the intelligences for the students at each university. Results indicate that skills related to social sensitivity and persuasion are significantly higher than many other skills for dietetics students. Further, when comparing the
Full Text Available This study provides a framework to implement the theory of multiple intelligences (MI in the identification of high-ability students in secondary education. The internal structure of three scales to assess students' MI (students, parents and teachers' ratings was analyzed in a sample of 566 students nominated as gifted by their teachers. Participants aged 11 to 16 years (M = 14.85, SD = 1.08. The results indicated differentiated intellectual profiles depending on the informant estimating students' MI. This study provided evidence for two components that allow us to analyze the cognitive competence of high-ability students beyond the areas commonly assessed at school: an academic component composed by the linguistic, logical-mathematical, naturalistic, and visual-spatial intelligences; and a non-academic component statistically loaded by the bodily-kinesthetic, musical and social intelligences. Convergence of the two components in the three scales was evidenced; and correlations between these components and students' objective performance on a psychometric intelligence test were found to be low. Finally, the utility of the MI scales to identify high-ability students in secondary education is discussed.
Fernandez-Lozano, Carlos; Gestal, Marcos; Munteanu, Cristian R; Dorado, Julian; Pazos, Alejandro
The design of experiments and the validation of the results achieved with them are vital in any research study. This paper focuses on the use of different Machine Learning approaches for regression tasks in the field of Computational Intelligence and especially on a correct comparison between the different results provided for different methods, as those techniques are complex systems that require further study to be fully understood. A methodology commonly accepted in Computational intelligence is implemented in an R package called RRegrs. This package includes ten simple and complex regression models to carry out predictive modeling using Machine Learning and well-known regression algorithms. The framework for experimental design presented herein is evaluated and validated against RRegrs. Our results are different for three out of five state-of-the-art simple datasets and it can be stated that the selection of the best model according to our proposal is statistically significant and relevant. It is of relevance to use a statistical approach to indicate whether the differences are statistically significant using this kind of algorithms. Furthermore, our results with three real complex datasets report different best models than with the previously published methodology. Our final goal is to provide a complete methodology for the use of different steps in order to compare the results obtained in Computational Intelligence problems, as well as from other fields, such as for bioinformatics, cheminformatics, etc., given that our proposal is open and modifiable.
Full Text Available The design of experiments and the validation of the results achieved with them are vital in any research study. This paper focuses on the use of different Machine Learning approaches for regression tasks in the field of Computational Intelligence and especially on a correct comparison between the different results provided for different methods, as those techniques are complex systems that require further study to be fully understood. A methodology commonly accepted in Computational intelligence is implemented in an R package called RRegrs. This package includes ten simple and complex regression models to carry out predictive modeling using Machine Learning and well-known regression algorithms. The framework for experimental design presented herein is evaluated and validated against RRegrs. Our results are different for three out of five state-of-the-art simple datasets and it can be stated that the selection of the best model according to our proposal is statistically significant and relevant. It is of relevance to use a statistical approach to indicate whether the differences are statistically significant using this kind of algorithms. Furthermore, our results with three real complex datasets report different best models than with the previously published methodology. Our final goal is to provide a complete methodology for the use of different steps in order to compare the results obtained in Computational Intelligence problems, as well as from other fields, such as for bioinformatics, cheminformatics, etc., given that our proposal is open and modifiable.
Leasa, Marleny; Corebima, Aloysius D.; Ibrohim; Suwono, Hadi
Students have unique ways in managing the information in their learning process. VARK learning styles associated with memory are considered to have an effect on emotional intelligence. This quasi-experimental research was conducted to compare the emotional intelligence among the students having auditory, reading, and kinesthetic learning styles in…
Liang, Kun; Zhang, Yiying; He, Yeshen; Zhou, Yilin; Tan, Wei; Li, Xiaoxia
With the development of mobile platform, such as smart cellphone and pad, the E-Learning model has been rapidly developed. However, due to the low completion rate for E-Learning platform, it is very necessary to analyze the behavior characteristics of online learners to intelligently adjust online education strategy and enhance the quality of learning. In this paper, we analyzed the relation indicators of E-Learning to build the student profile and gave countermeasures. Adopting the similarit...
Yi Fei Wang; Stephen Petrina
the goal of this article is to explore how learning analytics can be used to predict and advise the design of an intelligent language tutor, chatbot Lucy. With its focus on using student-produced data to understand the design of Lucy to assist English language learning, this research can be a valuable component for language-learning designers to improve second language acquisition. In this article, we present students’ learning journey and data trails, the chatting log architecture and result...
Najafi, Mostafa; Akouchekian, Shahla; Ghaderi, Alireza; Mahaki, Behzad; Rezaei, Mariam
Attention deficit and hyperactivity disorder (ADHD) is a common psychological problem during childhood. This study aimed to evaluate multiple intelligences profiles of children with ADHD in comparison with non-ADHD. This cross-sectional descriptive analytical study was done on 50 children of 6-13 years old in two groups of with and without ADHD. Children with ADHD were referred to Clinics of Child and Adolescent Psychiatry, Isfahan University of Medical Sciences, in 2014. Samples were selected based on clinical interview (based on Diagnostic and Statistical Manual of Mental Disorders IV and parent-teacher strengths and difficulties questionnaire), which was done by psychiatrist and psychologist. Raven intelligence quotient (IQ) test was used, and the findings were compared to the results of multiple intelligences test. Data analysis was done using a multivariate analysis of covariance using SPSS20 software. Comparing the profiles of multiple intelligence among two groups, there are more kinds of multiple intelligences in control group than ADHD group, a difference which has been more significant in logical, interpersonal, and intrapersonal intelligence ( P multiple intelligences in two groups ( P > 0.05). The IQ average score in the control group and ADHD group was 102.42 ± 16.26 and 96.72 ± 16.06, respectively, that reveals the negative effect of ADHD on IQ average value. There was an insignificance relationship between linguistic and naturalist intelligence ( P > 0.05). However, in other kinds of multiple intelligences, direct and significant relationships were observed ( P < 0.05). Since the levels of IQ (Raven test) and MI in control group were more significant than ADHD group, ADHD is likely to be associated with logical-mathematical, interpersonal, and intrapersonal profiles.
Amaral, Luiz A.; Meurers, Detmar
This paper explores the motivation and prerequisites for successful integration of Intelligent Computer-Assisted Language Learning (ICALL) tools into current foreign language teaching and learning (FLTL) practice. We focus on two aspects, which we argue to be important for effective ICALL system development and use: (i) the relationship between…
Wang, Zhe; Lu, MingZhe; Gao, Daqi
Multiple kernel learning (MKL) is demonstrated to be flexible and effective in depicting heterogeneous data sources since MKL can introduce multiple kernels rather than a single fixed kernel into applications. However, MKL would get a high time and space complexity in contrast to single kernel learning, which is not expected in real-world applications. Meanwhile, it is known that the kernel mapping ways of MKL generally have two forms including implicit kernel mapping and empirical kernel mapping (EKM), where the latter is less attracted. In this paper, we focus on the MKL with the EKM, and propose a reduced multiple empirical kernel learning machine named RMEKLM for short. To the best of our knowledge, it is the first to reduce both time and space complexity of the MKL with EKM. Different from the existing MKL, the proposed RMEKLM adopts the Gauss Elimination technique to extract a set of feature vectors, which is validated that doing so does not lose much information of the original feature space. Then RMEKLM adopts the extracted feature vectors to span a reduced orthonormal subspace of the feature space, which is visualized in terms of the geometry structure. It can be demonstrated that the spanned subspace is isomorphic to the original feature space, which means that the dot product of two vectors in the original feature space is equal to that of the two corresponding vectors in the generated orthonormal subspace. More importantly, the proposed RMEKLM brings a simpler computation and meanwhile needs a less storage space, especially in the processing of testing. Finally, the experimental results show that RMEKLM owns a much efficient and effective performance in terms of both complexity and classification. The contributions of this paper can be given as follows: (1) by mapping the input space into an orthonormal subspace, the geometry of the generated subspace is visualized; (2) this paper first reduces both the time and space complexity of the EKM-based MKL; (3
Furnham, Adrian; Chamorro-Premuzic, Tomas
Participants from Argentina (N = 217) estimated their own, their partner's, their parents' and their grandparents' overall and multiple intelligences. The Argentinean data showed that men gave higher overall estimates than women (M = 110.4 vs. 105.1) as well as higher estimates on mathematical and spatial intelligence. Participants thought themselves slightly less bright than their fathers (2 IQ points) but brighter than their mothers (6 points), their grandfathers (8 points), but especially their grandmothers (11 points). Regressions showed that participants thought verbal and mathematical IQ to be the best predictors of overall IQ. Results were broadly in agreement with other studies in the area. A comparison was also made with British data using the same questionnaire. British participants tended to give significantly higher self-estimates than for relatives, though the pattern was generally similar. Results are discussed in terms of the studies in the field.
Lytras, Miltiadis, Ed.; Naeve, Ambjorn, Ed.
In the context of Knowledge Society, the convergence of knowledge and learning management is a critical milestone. "Intelligent Learning Infrastructure for Knowledge Intensive Organizations: A Semantic Web Perspective" provides state-of-the art knowledge through a balanced theoretical and technological discussion. The semantic web perspective…
The objective of the present study is to determine whether there is a significant relationship between the students' readiness in online learning and their emotional intelligence levels. Correlational research method was used in the study. Online Learning Readiness Scale which was developed by Hung et al. (2010) has been used and Trait Emotional…
Pradhan, Rabindra Kumar; Jena, Lalatendu Kesari; Singh, Sanjay Kumar
Purpose: The purpose of this study is to examine the relationship between organisational learning and adaptive performance. Furthermore, the study investigates the moderating role of emotional intelligence in the perspective of organisational learning for addressing adaptive performance of executives employed in manufacturing organisations.…
Arends, Hugo; Heeren, B.J.; Keuning, H.W.; Jeuring, J.T.
Embedded systems engineers need to learn how I/O programming expressions for microcontrollers evaluate. We designed, implemented, and tested an intelligent tutoring system prototype for learning such evaluations. The Microcontroller Knowledge (MicK) tutor guides a student step-by-step towards a
Dong Yun Kim; Poong Hyun Seong; .
In this research, we propose a fuzzy gain scheduler (FGS) with an intelligent learning algorithm for a reactor control. In the proposed algorithm, the gradient descent method is used in order to generate the rule bases of a fuzzy algorithm by learning. These rule bases are obtained by minimizing an objective function, which is called a performance cost function. The objective of the FGS with an intelligent learning algorithm is to generate gains, which minimize the error of system. The proposed algorithm can reduce the time and effort required for obtaining the fuzzy rules through the intelligent learning function. It is applied to reactor control of nuclear power plant (NPP), and the results are compared with those of a conventional PI controller with fixed gains. As a result, it is shown that the proposed algorithm is superior to the conventional PI controller. (author)
Maxwell, Andrew; Li, Runzhi; Yang, Bei; Weng, Heng; Ou, Aihua; Hong, Huixiao; Zhou, Zhaoxian; Gong, Ping; Zhang, Chaoyang
Multi-label classification of data remains to be a challenging problem. Because of the complexity of the data, it is sometimes difficult to infer information about classes that are not mutually exclusive. For medical data, patients could have symptoms of multiple different diseases at the same time and it is important to develop tools that help to identify problems early. Intelligent health risk prediction models built with deep learning architectures offer a powerful tool for physicians to identify patterns in patient data that indicate risks associated with certain types of chronic diseases. Physical examination records of 110,300 anonymous patients were used to predict diabetes, hypertension, fatty liver, a combination of these three chronic diseases, and the absence of disease (8 classes in total). The dataset was split into training (90%) and testing (10%) sub-datasets. Ten-fold cross validation was used to evaluate prediction accuracy with metrics such as precision, recall, and F-score. Deep Learning (DL) architectures were compared with standard and state-of-the-art multi-label classification methods. Preliminary results suggest that Deep Neural Networks (DNN), a DL architecture, when applied to multi-label classification of chronic diseases, produced accuracy that was comparable to that of common methods such as Support Vector Machines. We have implemented DNNs to handle both problem transformation and algorithm adaption type multi-label methods and compare both to see which is preferable. Deep Learning architectures have the potential of inferring more information about the patterns of physical examination data than common classification methods. The advanced techniques of Deep Learning can be used to identify the significance of different features from physical examination data as well as to learn the contributions of each feature that impact a patient's risk for chronic diseases. However, accurate prediction of chronic disease risks remains a challenging
This study examines the application of classical music backsound in mathematics learning. The method used is quasi experimental design nonequivalent pretest-posttest control group in elementary school students in Tasikmalaya city, Indonesia. The results showed that classical music contributed significantly to the mathematical intelligence of elementary school students. The mathematical intelligence shown is in the cognitive ability ranging from the level of knowledge to evaluation. High level mathematical intelligence is shown by students in reading and writing integers with words and numbers. The low level of mathematical intelligence exists in projecting the story into a mathematical problem. The implication of this research is the use of classical music backsound on learning mathematics should pay attention to the level of difficulty of mathematics material being studied.
Li, Cong; Georgiopoulos, Michael; Anagnostopoulos, Georgios C
A traditional and intuitively appealing Multitask Multiple Kernel Learning (MT-MKL) method is to optimize the sum (thus, the average) of objective functions with (partially) shared kernel function, which allows information sharing among the tasks. We point out that the obtained solution corresponds to a single point on the Pareto Front (PF) of a multiobjective optimization problem, which considers the concurrent optimization of all task objectives involved in the Multitask Learning (MTL) problem. Motivated by this last observation and arguing that the former approach is heuristic, we propose a novel support vector machine MT-MKL framework that considers an implicitly defined set of conic combinations of task objectives. We show that solving our framework produces solutions along a path on the aforementioned PF and that it subsumes the optimization of the average of objective functions as a special case. Using the algorithms we derived, we demonstrate through a series of experimental results that the framework is capable of achieving a better classification performance, when compared with other similar MTL approaches.
The Department of Defense (DoD) relies heavily on information systems to complete a myriad of tasks, from day-to-day personnel actions to mission critical imagery retrieval, intelligence analysis, and mission planning...
Singh, Satinder; Okun, Andy; Jackson, Andrew
An artificial-intelligence program called AlphaGo Zero has mastered the game of Go without any human data or guidance. A computer scientist and two members of the American Go Association discuss the implications. See Article p.354
Franco de los Ríos, Camilo; Hougaard, Jens Leth; Nielsen, Kurt
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...
Wass, Christopher; Denman-Brice, Alexander; Rios, Chris; Light, Kenneth R; Kolata, Stefan; Smith, Andrew M; Matzel, Louis D
Contemporary descriptions of human intelligence hold that this trait influences a broad range of cognitive abilities, including learning, attention, and reasoning. Like humans, individual genetically heterogeneous mice express a "general" cognitive trait that influences performance across a diverse array of learning and attentional tasks, and it has been suggested that this trait is qualitatively and structurally analogous to general intelligence in humans. However, the hallmark of human intelligence is the ability to use various forms of "reasoning" to support solutions to novel problems. Here, we find that genetically heterogeneous mice are capable of solving problems that are nominally indicative of inductive and deductive forms of reasoning, and that individuals' capacity for reasoning covaries with more general learning abilities. Mice were characterized for their general learning ability as determined by their aggregate performance (derived from principal component analysis) across a battery of five diverse learning tasks. These animals were then assessed on prototypic tests indicative of deductive reasoning (inferring the meaning of a novel item by exclusion, i.e., "fast mapping") and inductive reasoning (execution of an efficient search strategy in a binary decision tree). The animals exhibited systematic abilities on each of these nominal reasoning tasks that were predicted by their aggregate performance on the battery of learning tasks. These results suggest that the coregulation of reasoning and general learning performance in genetically heterogeneous mice form a core cognitive trait that is analogous to human intelligence. (c) 2012 APA, all rights reserved.
Bauer, Richard H.
Studies that have used noninvasive brain imaging techniques to record neocortical activity while individuals were performing cognitive intelligence tests (traditional intelligence) and social intelligence tests were reviewed. In cognitive intelligence tests 16 neocortical areas were active, whereas in social intelligence 10 areas were active.…
Lane, India F
Nontechnical competencies identified as essential to the health professional's success include ethical behavior, interpersonal, self-management, leadership, business, and thinking competencies. The literature regarding such diverse topics, and the literature regarding "professional success" is extensive and wide-ranging, crossing educational, psychological, business, medical and vocational fields of study. This review is designed to introduce ways of viewing nontechnical competence from the psychology of human capacity to current perspectives, initiatives and needs in practice. After an introduction to the tensions inherent in educating individuals for both biomedical competency and "bedside" or "cageside" manner, the paper presents a brief overview of the major lines of inquiry into intelligence theory and how theories of multiple intelligences can build a foundation for conceptualizing professional and life skills. The discussion then moves from broad concepts of intelligence to more specific workplace skill sets, with an emphasis on professional medical education. This section introduces the research on noncognitive variables in various disciplines, the growing emphasis on competency based education, and the SKA movement in veterinary education. The next section presents the evidence that nontechnical, noncognitive or humanistic skills influence achievement in academic settings, medical education and clinical performance, as well as the challenges faced when educational priorities must be made.
Cason, K L
This report describes the evaluation of a preschool nutrition education program based on the theory of multiple intelligences. Forty-six nutrition educators provided a series of 12 lessons to 6102 preschool-age children. The program was evaluated using a pretest/post-test design to assess differences in fruit and vegetable identification, healthy snack choices, willingness to taste foods, and eating behaviors. Subjects showed significant improvement in food identification and recognition, healthy snack identification, willingness to taste foods, and frequency of fruit, vegetable, meat, and dairy consumption. The evaluation indicates that the program was an effective approach for educating preschool children about nutrition.
Full Text Available Background: Attention deficit and hyperactivity disorder (ADHD is a common psychological problem during childhood. This study aimed to evaluate multiple intelligences profiles of children with ADHD in comparison with non-ADHD. Materials and Methods: This cross-sectional descriptive analytical study was done on 50 children of 6–13 years old in two groups of with and without ADHD. Children with ADHD were referred to Clinics of Child and Adolescent Psychiatry, Isfahan University of Medical Sciences, in 2014. Samples were selected based on clinical interview (based on Diagnostic and Statistical Manual of Mental Disorders IV and parent–teacher strengths and difficulties questionnaire, which was done by psychiatrist and psychologist. Raven intelligence quotient (IQ test was used, and the findings were compared to the results of multiple intelligences test. Data analysis was done using a multivariate analysis of covariance using SPSS20 software. Results: Comparing the profiles of multiple intelligence among two groups, there are more kinds of multiple intelligences in control group than ADHD group, a difference which has been more significant in logical, interpersonal, and intrapersonal intelligence (P 0.05. The IQ average score in the control group and ADHD group was 102.42 ± 16.26 and 96.72 ± 16.06, respectively, that reveals the negative effect of ADHD on IQ average value. There was an insignificance relationship between linguistic and naturalist intelligence (P > 0.05. However, in other kinds of multiple intelligences, direct and significant relationships were observed (P < 0.05. Conclusions: Since the levels of IQ (Raven test and MI in control group were more significant than ADHD group, ADHD is likely to be associated with logical-mathematical, interpersonal, and intrapersonal profiles.
Wahyudin; Riza, L. S.; Putro, B. L.
E-learning as a learning activity conducted online by the students with the usual tools is favoured by students. The use of computer media in learning provides benefits that are not owned by other learning media that is the ability of computers to interact individually with students. But the weakness of many learning media is to assume that all students have a uniform ability, when in reality this is not the case. The concept of Intelligent Tutorial System (ITS) combined with cyberblog application can overcome the weaknesses in neglecting diversity. An Intelligent Tutorial System-based Cyberblog application (ITS) is a web-based interactive application program that implements artificial intelligence which can be used as a learning and evaluation media in the learning process. The use of ITS-based Cyberblog in learning is one of the alternative learning media that is interesting and able to help students in measuring ability in understanding the material. This research will be associated with the improvement of logical thinking ability (logical thinking) of students, especially in algorithm subjects.
Full Text Available With the development of mobile platform, such as smart cellphone and pad, the E-Learning model has been rapidly developed. However, due to the low completion rate for E-Learning platform, it is very necessary to analyze the behavior characteristics of online learners to intelligently adjust online education strategy and enhance the quality of learning. In this paper, we analyzed the relation indicators of E-Learning to build the student profile and gave countermeasures. Adopting the similarity computation and Jaccard coefficient algorithm, we designed a system model to clean and dig into the educational data and also the students’ learning attitude and the duration of learning behavior to establish student profile. According to the E-Learning resources and learner behaviors, we also present the intelligent guide model to guide both E-Learning platform and learners to improve learning things. The study on student profile can help the E-Learning platform to meet and guide the students’ learning behavior deeply and also to provide personalized learning situation and promote the optimization of the E-Learning.
The concept of learning objects has been applied in the e-learning field to promote the accessibility, reusability, and interoperability of learning content. Learning Object Metadata (LOM) was developed to achieve these goals by describing learning objects in order to provide meaningful metadata. Unfortunately, the conventional LOM lacks the…
Swami, Viren; Furnham, Adrian; Zilkha, Susan
In the present study, 151 British and 151 French participants estimated their own, their parents' and their partner's overall intelligence and 13 'multiple intelligences.' In accordance with previous studies, men rated themselves as higher on almost all measures of intelligence, but there were few cross-national differences. There were also important sex differences in ratings of parental and partner intelligence. Participants generally believed they were more intelligent than their parents but not their partners. Regressions indicated that participants believed verbal, logical-mathematical, and spatial intelligence to be the main predictors of intelligence. Regressions also showed that participants' Big Five personality scores (in particular, Extraversion and Openness), but not values or beliefs about intelligence and intelligences tests, were good predictors of intelligence. Results were discussed in terms of the influence of gender-role stereotypes.
Weber, David Jay
Today’s public health crises, as exemplified by the Ebola outbreak, lead to dramatic calls to action that typically include improved electronic monitoring systems to better prepare for, and respond to, similar occurrences in the future. Even a preliminary public health informatics evaluation of the current Ebola crisis exposes the need for enhanced coordination and sharing of trustworthy public health intelligence. We call for a consumer-centric model of public health intelligence and the formation of a national center to guide public health intelligence gathering and synthesis. Sharing accurate and actionable information with government agencies, health care practitioners, policymakers, and, critically, the general public, will mark a shift from doing public health surveillance on people to doing public health surveillance for people. PMID:26180978
Rebolledo Rodríguez, Rigel A.; Samaniego González, Euclides
This document describes the evaluation project of multiple intelligences in children aged 7 to 11 years through the implementation of an interactive software, developed on Android for tablets, allowing parents, teachers, tutors, psy-chologists or other responsible adult, identifying the different types of intelligences that have children in order to know each other and develop their skills and their future potential. Similarly, research was developed to evaluate the effective-ness of the t...
Elena Achkovska Leshkovska
Full Text Available Since 1983, when Howard Gardner published his theory of multiple intelligences, educators have begun to incorporate this new model into school programs. However, the idea of multimodal teaching is hardly a new concept. Many pioneers of modern education, such as: J. J. Rousseau, J.H. Pestalozzi, M. Montessory, J. Dewey, suggested educational models that oppose uniformity and predominantly verbal teaching. The aim of the research presented in this paper is to identify and compare compatible elements of educational ideas of John Dewey and Howard Gardner. The research is based on historical-comparative method and content analysis technique and is focused on exploring three key elements of intersection: curriculum, methods of teaching and learning, and teachers’ role. Regarding the curriculum, both authors prefer integrated and thematic curriculum based on real-life context. They also agree on student-centred teaching where implementation of variety of active methods of learning will give opportunity to students to express their specific identity. Teacher’s role in both concepts is to link students’ personal experiences and characteristics to the material being studied and to the school life in general. The findings imply that educational implications of Gardner’s theory can be considered as a continuation of Dewey’s progressive vision of classroom teaching and school organization.
Shirley Jie Xuan Wang
Full Text Available This article addresses the possibility of incorporating intelligent decision support systems into reinsurance decision-making. This involves the insurance company and the reinsurance company, and is negotiated through reinsurance intermediaries. The article proposes a decision flow to model the reinsurance design and selection process. This article focuses on adopting more than one optimality criteria under a more generic combinational design of commonly used reinsurance products, i.e., proportional reinsurance and stop-loss reinsurance. In terms of methodology, the significant contribution of the study the incorporation of the well-established decision analysis tool multiple-attribute decision-making (MADM into the modelling of reinsurance selection. To illustrate the feasibility of incorporating intelligent decision supporting systems in the reinsurance market, the study includes a numerical case study using the simulation software @Risk in modeling insurance claims, as well as programming in MATLAB to realize MADM. A list of managerial implications could be drawn from the case study results. Most importantly, when choosing the most appropriate type of reinsurance, insurance companies should base their decisions on multiple measurements instead of single-criteria decision-making models so that their decisions may be more robust.
Full Text Available This article presents results of a research project in which we attempted to determine the relationship between efficient E-learning and teaching materials adapted based on students’ structure of intelligence. The project was conducted on approximately 500 students, 23 classes, nine elementary schools, with ten teachers of history, informatics and several licensed psychologists. E-teaching material was prepared for the subject of History for eight-grade students of elementary school. Students were tested for the structure of intelligence, and based on their most prominent component, they were divided into groups, using teaching materials adapted to their most prominent intelligence component. The results have shown that use of the adapted teaching materials achieved 6-12% better results than E-materials not adapted to students’ structure of intelligence.
Buzdar, Muhammad Ayub; Ali, Akhtar; Tariq, Riaz Ul Haq
Students' performance in online learning environments is associated with their readiness to adopt a digital learning approach. Traditional concept of readiness for online learning is connected with students' competencies of using technology for learning purposes. We in this research, however, investigated psychometric aspects of students'…
Korotcov, Alexandru; Tkachenko, Valery; Russo, Daniel P; Ekins, Sean
Machine learning methods have been applied to many data sets in pharmaceutical research for several decades. The relative ease and availability of fingerprint type molecular descriptors paired with Bayesian methods resulted in the widespread use of this approach for a diverse array of end points relevant to drug discovery. Deep learning is the latest machine learning algorithm attracting attention for many of pharmaceutical applications from docking to virtual screening. Deep learning is based on an artificial neural network with multiple hidden layers and has found considerable traction for many artificial intelligence applications. We have previously suggested the need for a comparison of different machine learning methods with deep learning across an array of varying data sets that is applicable to pharmaceutical research. End points relevant to pharmaceutical research include absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox) properties, as well as activity against pathogens and drug discovery data sets. In this study, we have used data sets for solubility, probe-likeness, hERG, KCNQ1, bubonic plague, Chagas, tuberculosis, and malaria to compare different machine learning methods using FCFP6 fingerprints. These data sets represent whole cell screens, individual proteins, physicochemical properties as well as a data set with a complex end point. Our aim was to assess whether deep learning offered any improvement in testing when assessed using an array of metrics including AUC, F1 score, Cohen's kappa, Matthews correlation coefficient and others. Based on ranked normalized scores for the metrics or data sets Deep Neural Networks (DNN) ranked higher than SVM, which in turn was ranked higher than all the other machine learning methods. Visualizing these properties for training and test sets using radar type plots indicates when models are inferior or perhaps over trained. These results also suggest the need for assessing deep learning further
Barakova, E.I.; Hu, J.
The present day society requires specialists with multidisciplinary knowledge and skills. We discuss the possibilities to educate professionals that design intelligent products and systems as a result of a competency based education. In particular this paper features a teaching method that makes the
Basu, Anamitra; Mermillod, Martial
The term "EI (emotional intelligence)" was first used in 1990 by Salovey and Mayer. EI involves: (1) the ability to perceive accurately, appraise and express emotion; (2) the ability to access and/or generate feelings when they facilitate thought; (3) the ability to understand emotion and emotional knowledge; and (4) the ability to regulate…
Tajmir, Shahein H; Alkasab, Tarik K
Radiology practice will be altered by the coming of artificial intelligence, and the process of learning in radiology will be similarly affected. In the short term, radiologists will need to understand the first wave of artificially intelligent tools, how they can help them improve their practice, and be able to effectively supervise their use. Radiology training programs will need to develop curricula to help trainees acquire the knowledge to carry out this new supervisory duty of radiologists. In the longer term, artificially intelligent software assistants could have a transformative effect on the training of residents and fellows, and offer new opportunities to bring learning into the ongoing practice of attending radiologists. Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
Full Text Available Focusing on the dominant intelligences of individuals from their early ages will be beneficial for them and the society in terms of improving their talents. When this situation is considered for gifted and talented children, we believe that there is a need for detailed analysis for Turkey beginning from the early years of children. Hence, in this study, it is aimed to investigate the multiple intelligence domains of Turkish gifted and talented students studying in science and art centres (SACs across the country via a survey research. This paper presents the results gained from 12 SACs. Those SACs were selected according to the socio-economic development index (SEDI of Turkey as declared by Ministry of Development (MD which considered the country to consist of 6 regions. Two SACs from each of those six regions were included in the study. Thus, the sample consisted of 390 middle school 5th grade students. A Likert type multiple intelligence test which included 80 items related to eight domains of multiple intelligence was utilized as data collection instrument (Demirel, Başbay & Erdem, 2006: 155. Descriptive statistics and non-parametric statistics tests were conducted in order to analyze the study data. The results indicated various differences among multiple intelligence scores of the participants.
Heift, Trude; Schulze, Mathias
This book provides the first comprehensive overview of theoretical issues, historical developments and current trends in ICALL (Intelligent Computer-Assisted Language Learning). It assumes a basic familiarity with Second Language Acquisition (SLA) theory and teaching, CALL and linguistics. It is of interest to upper undergraduate and/or graduate…
Crowe, Dale; LaPierre, Martin; Kebritchi, Mansureh
With augmented intelligence/knowledge based system (KBS) it is now possible to develop distance learning applications to support both curriculum and administrative tasks. Instructional designers and information technology (IT) professionals are now moving from the programmable systems era that started in the 1950s to the cognitive computing era.…
Zheng, Zhi; Warren, Zachary; Weitlauf, Amy; Fu, Qiang; Zhao, Huan; Swanson, Amy; Sarkar, Nilanjan
Researchers are increasingly attempting to develop and apply innovative technological platforms for early detection and intervention of autism spectrum disorder (ASD). This pilot study designed and evaluated a novel technologically-mediated intelligent learning environment with relevance to early social orienting skills. The environment was…
Alahdadi, Shadi; Ghanizadeh, Afsaneh
A key objective of education is to prepare individuals to be fully-functioning learners. This entails developing the cognitive, metacognitive, motivational, cultural, and emotional competencies. The present study aimed to examine the interrelationships among adaptability, tolerance of ambiguity, cultural intelligence, learning approach, and…
McLaren, Bruce M.; DeLeeuw, Krista E.; Mayer, Richard E.
Should an intelligent software tutor be polite, in an effort to motivate and cajole students to learn, or should it use more direct language? If it should be polite, under what conditions? In a series of studies in different contexts (e.g., lab versus classroom) with a variety of students (e.g., low prior knowledge versus high prior knowledge),…
Han, Heeyoung; Johnson, Scott D.
The purpose of the study was to investigate the relationship between students' emotional intelligence, social bond, and their interactions in an online learning environment. The research setting in this study was a 100% online master's degree program within a university located in the Midwest of the United States. Eighty-four students participated…
This paper examines how Piaget, Werner, and Gardner differ regarding the roles of cognition, intelligence, and learning in the developmental process. Piaget believes in the predominance of genetic factors. Werner stresses the influence of biological factors, while Gardner proposes that the environment plays a greater influence in how intelligence…
The proliferation of smartphones has given rise to intelligent personal assistants (IPAs), software that helps users accomplish day-to-day tasks. However, little is known about IPAs in the context of second language (L2) learning. Therefore, the primary objectives of this case study were twofold: to assess the ability of Amazon's IPA, Alexa, to…
Aliakbari, Mohammad; Abol-Nejadian, Rezvan
Although a large body of research has been dedicated to examining emotional intelligence (EI) and learning styles in relation to different factors in academic setting, the relationship between these two variables still necessitates more exploration and deeper study, especially in the Iranian context. To this end, 60 English for Academic Purposes…
Swanson, H. Lee
An information processing approach to the assessment of learning disabled students' intellectual performance is presented. The model is based on the assumption that intelligent behavior is comprised of a variety of problem- solving strategies. An account of child problem solving is explained and illustrated with a "thinking aloud" protocol.…
Bahrami, Mohammad Amin; Kiani, Mohammad Mehdi; Montazeralfaraj, Raziye; Zadeh, Hossein Fallah; Zadeh, Morteza Mohammad
Objectives Organizational learning is defined as creating, absorbing, retaining, transferring, and application of knowledge within an organization. This article aims to examine the mediating role of organizational learning in the relationship of organizational intelligence and organizational agility. Methods This analytical and cross-sectional study was conducted in 2015 at four teaching hospitals of Yazd city, Iran. A total of 370 administrative and medical staff contributed to the study. We...
Chen, ZhiHang; Masrur, M. A; Murphey, Yi L
.... A machine learning algorithm, LOPPS, has been developed to learn about optimal power source combinations with respect to minimum power loss for all possible load requests and various system power states...
Tahriri, Abdorreza; Divsar, Hoda
Increasing attention paid to learner-centered pedagogy in recent years has highlighted the examination of intelligence and language learning strategies (LLSs) among others. This study explores EFL learners' perceived use of language learning strategies across various intelligence types as reflected in Gardner's 1983 Multiple Intelligences Theory.…
Full Text Available The Community must develop and integrate into regular use new tools that can assist analysts in filtering and correlating the vast quantities of information that threaten to overwhelm the analytic process…—Commission on the Intelligence Capabilities of the United States.Regarding Weapons of Mass Destruction (The WMD Report1Unlike the other social sciences and, particularly, the physical sciences, where scientists get to choose the questions they wish to answer and experiments are carefully designed to confirm or negate hypotheses, intelligence analysis requires analysts to deal with the demands of decision makers and estimate the intentions of foreign actors, criminals or business competitors in an environment filled with uncertainty and even deliberate deception.
Chakraborty, Udit Kr.; Konar, Debanjan; Roy, Samir; Choudhury, Sankhayan
Evaluating Learners' Response in an e-Learning environment has been the topic of current research in areas of Human Computer Interaction, e-Learning, Education Technology and even Natural Language Processing. The current paper presents a twofold strategy to evaluate single word response of a learner in an e-Learning environment. The response of…
Al Rekhawi , Hazem Awni; Abu Naser , Samy S
International audience; The paper describes the design of a web based intelligent tutoring system for teaching Android Applications Development to students to overcome the difficulties they face. The basic idea of this system is a systematic introduction into the concept of Android Application Development. The system presents the topic of Android Application Development and administers automatically generated problems for the students to solve. The system is automatically adapted at run time ...
Islamiah Rosli, D.'oria; Ali, Azita; Peng, Lim Soo; Sujardi, Imam; Usodo, Budi; Adie Perdana, Fengky
Logic and technical subjects require students to understand basic knowledge in mathematic. For instance, addition, minus, division and multiplication operations need to be mastered by students due to mathematic complexity as the learning mathematic grows higher. Weak foundation in mathematic also contribute to high failure rate in mathematic subjects in schools. In fact, students in primary schools are struggling to learn mathematic because they need to memorize formulas, multiplication or division operations. To date, this study will develop a puppet prototyping for learning mathematic for six to ten digits multiplication. Ten participants involved in the process of developing the prototype in this study. Students involved in the study were those from the intermediate class students whilst teachers were selected based on their vast knowledge and experiences and have more than five years of experience in teaching mathematic. Close participatory analysis will be used in the prototyping process as to fulfil the requirements of the students and teachers whom will use the puppet in learning six to ten digit multiplication in mathematic. Findings showed that, the students had a great time and fun learning experience in learning multiplication and they able to understand the concept of multiplication using puppet. Colour and materials of the puppet also help to attract student attention during learning. Additionally, students able to visualized and able to calculate accurate multiplication value and the puppet help them to recall in multiplying and adding the digits accordingly.
Mohammed Abdallh Otair
Full Text Available Attempting to deliver a monolithic mobile learning system is too inflexible in view of the heterogeneous mixture of hardware and services available and the desirability of facility blended approaches to learning delivery, and how to build learning materials to run on all platforms. This paper proposes a framework of mobile learning system using an intelligent method (IP-MLI . A fuzzy matching method is used to find suitable learning material design. It will provide a best matching for each specific platform type for each learner. The main contribution of the proposed method is to use software layer to insulate learning materials from device-specific features. Consequently, many versions of learning materials can be designed to work on many platform types.
Othman O KHALIFA
Full Text Available The main issue concerned in education system is whether the typical way of teaching martial such as whiteboard in normal classroom is capable of deliver must of the new course martial (curriculum with best result of learning. Mobile technology have a high potential for improved learning (T. Liu, 2003(J. Massy ,2002. Mobile devices can enhance learning and it could be through Mobile Learning (M-Learning which is an approach to electronic learning (E-Learning (A. Kukulska-Hulme, 2005. This paper is focusing on the main problem exists in the classroom which is how a student can copy all the material written on the white board without losing the concentration of the lecturer's speech. Also the paper is explores what factors and design requirements are needed for M-Learning environment and suggests how M-Learning application can be designed. The following section definition of the mobile network is given. In the section three, reviews the literature review and previous work for M-Learning applications. Section four designs and analysis of the M-Learning environment is described. The final section provide conclusion and future work
Howard Gardner and Jerome Bruner have given much to teachers who want to know how the minds of children grow. This story of a girl's construction of higher order, verbal linguistic intelligence is also theirs. Ideas they created have been cloned to fit a big city, public school classroom of African American 4th graders, each with a set of multiple…
Wiguna, B. J. P. K.; Suwarma, I. R.; Liliawati, W.
Science and technology are rapidly developing needs to be balanced with the human resources that have the qualified ability. Not only cognitive ability, but also have the soft skills that support 21st century skills. Science, Technology, Engineering, and Mathematics (STEM) Education is a solution to improve the quality of learning and prepare students may be able to trained 21st century skills. This study aims to analyse the implementation of STEM-based science learning on Newton’s law of motion by identifying the personal intelligences profile junior high school students. The method used in this research is pre experiment with the design of the study one group pre-test post-test. Samples in this study were 26 junior high school students taken using Convenience Sampling. Students personal intelligences profile after learning STEM-based science uses two instruments, self-assessment and peer assessment. Intrapersonal intelligence profile based self-assessment and peer assessment are respectively 69.38; and 64.08. As for interpersonal intelligence for self-assessment instrument is 73 and the peer assessment is 60.23.
Kim, Dong Yun
In this research, we propose a fuzzy gain scheduler (FGS) with an intelligent learning algorithm for a reactor control. In the proposed algorithm, the gradient descent method is used in order to generate the rule bases of a fuzzy algorithm by learning. These rule bases are obtained by minimizing an objective function, which is called a performance cost function. The objective of the FGS with an intelligent learning algorithm is to generate adequate gains, which minimize the error of system. The proposed algorithm can reduce the time and efforts required for obtaining the fuzzy rules through the intelligent learning function. The evolutionary programming algorithm is modified and adopted as the method in order to find the optimal gains which are used as the initial gains of FGS with learning function. It is applied to reactor control of nuclear power plant (NPP), and the results are compared with those of a conventional PI controller with fixed gains. As a result, it is shown that the proposed algorithm is superior to the conventional PI controller
Gennari, Rosella; Mascio, Tania; Rodríguez, Sara; Prieta, Fernando; Ramos, Carlos; Silveira, Ricardo
This book presents the outcomes of the 7th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning (MIS4TEL'17), hosted by the Polytechnic of Porto, Portugal from 21 to 23 June 2017. Expanding on the topics of the previous conferences, it provided an open forum for discussing intelligent systems for technology enhanced learning (TEL) and their roots in novel learning theories, empirical methodologies for their design or evaluation, stand-alone and web-based solutions, and makerspaces. It also fostered entrepreneurship and business startup ideas, bringing together researchers and developers from industry, education and the academic world to report on the latest scientific research, technical advances and methodologies.
Meinou de Vries
Full Text Available Language acquisition in both natural and artificial language learning settings crucially depends on extracting information from ordered sequences. A shared sequence learning mechanism is thus assumed to underlie both natural and artificial language learning. A growing body of empirical evidence is consistent with this hypothesis. By means of artificial language learning experiments, we may therefore gain more insight in this shared mechanism. In this paper, we review empirical evidence from artificial language learning and computational modeling studies, as well as natural language data, and suggest that there are two key factors that help deter-mine processing complexity in sequence learning, and thus in natural language processing. We propose that the specific ordering of non-adjacent dependencies (i.e. nested or crossed, as well as the number of non-adjacent dependencies to be resolved simultaneously (i.e. two or three are important factors in gaining more insight into the boundaries of human sequence learning; and thus, also in natural language processing. The implications for theories of linguistic competence are discussed.
Bathellier, Brice; Tee, Sui Poh; Hrovat, Christina; Rumpel, Simon
Learning speed can strongly differ across individuals. This is seen in humans and animals. Here, we measured learning speed in mice performing a discrimination task and developed a theoretical model based on the reinforcement learning framework to account for differences between individual mice. We found that, when using a multiplicative learning rule, the starting connectivity values of the model strongly determine the shape of learning curves. This is in contrast to current learning models ...
Attitudes of Special Education Teachers and School Psychologists toward Individualized Education Plan IEPs Developed Using Traditional Assessments versus IEPs Developed Using a Multiple Intelligence Assessment
Alhajri, Meshari A SH A.
The purpose of this research was to determine the usefulness of Multiple Intelligence for educational planning for students in special education. More specifically, this study applied the Multiple Intelligences Developmental Assessment Scales (MIDAS) to a sample of students receiving special education services who had IEPs developed using…
Kommers, Petrus A.M.; Mizzoguchi, Riichiro
Learning is an active process clearly distinguished from simply being taught. Active involvement in learning helps learners build knowledge in their heads, which is one of the key issues advocated by constructivists. However, learners still need other kinds of help that instructivists might suggest.
Kaya, Osman Nafiz; Dogan, Alev; Gokcek, Nur; Kilic, Ziya; Kilic, Esma
The purpose of this study was to investigate the effects of multiple intelligences (MI) teaching approach on 8th Grade students' achievement in and attitudes toward science. This study used a pretest-posttest control group experimental design. While the experimental group (n=30) was taught a unit on acids and bases using MI teaching approach, the…
Salem, Ashraf Atta M. S.
The current study investigates the impact of multiple intelligences-based Instruction on developing speaking skills of the pre-service teachers of English. Therefore, the problem of the current study can be stated in the lack of speaking skills of the pre-service teachers of English in Hurgada faculty of Education, South Valley University. To…
Siphai, Sunan; Supandee, Terdsak; Raksapuk, Chunpit; Poopayang, Piangkhae; Kratoorerk, Sangsan
The aim of this research is to promote multiple intelligence capabilities for Early Childhood Care Center of a Sub-district Administration Organization in Chaiyaphum Province. The sample applied were 61 children aging between 3 and 5 years old at Child Development Center, Tambon Ban Kok, Amphoe Chaturus, Chaiyaphum Province, who were selected…
Pelayo, Jose Maria G., III; Galang, Edgar
Music has been in its formal existence for so many years now and it has also been utilized to enhance, relax and help man's meditation. This study focused on how music can or may influence an individual. The researchers investigated and described the influence of Howard Gardner's theory on Multiple Intelligence (specifically, musical…
Samigulina, Galina A.; Shayakhmetova, Assem S.
Research objective is the creation of intellectual innovative technology and information Smart-system of distance learning for visually impaired people. The organization of the available environment for receiving quality education for visually impaired people, their social adaptation in society are important and topical issues of modern education.The proposed Smart-system of distance learning for visually impaired people can significantly improve the efficiency and quality of education of this category of people. The scientific novelty of proposed Smart-system is using intelligent and statistical methods of processing multi-dimensional data, and taking into account psycho-physiological characteristics of perception and awareness learning information by visually impaired people.
Clark, Dav; Ivry, Richard B.
Motor learning is a ubiquitous feature of human competence. This review focuses on two particular classes of model tasks for studying skill acquisition. The serial reaction time (SRT) task is used to probe how people learn sequences of actions, while adaptation in the context of visuomotor or force field perturbations serves to illustrate how preexisting movements are recalibrated in novel environments. These tasks highlight important issues regarding the representational changes that occur d...
Abdul Kadir Ritonga
Full Text Available STAD cooperative learning method which is considered effective in achieving the goal of learning the English language, especially for students majoring in Tourism Academy who are required to master English for Specific Purposes (ESP in accordance with their needs. This study uses factorial design 2x3x3 version of the non-equivalent control group design with ANOVA 3 Ways. The subjects were students MDK III / 5 A and B courses MDK III.5 Rooms Division department Hospitality Academy Year 2015/2016. The samples are saturated samples. Data were collected through a pretest, posttest, and instrument of Language Aptitude and Intelligence parametric statistics analyzed by parametric statistics with significance level of 0.05%. The results showed that: (1 there are differences between method STAD cooperative learning and expository on Hospitality English achievement, (2 there are differences between the students who have high language aptitude and low language aptitude on English achievement, (3 there are differences between students who have high language aptitude and medium on Hospitality English achievement, (4 there are differences between students who have the medium language aptitude and low language aptitude on Hospitality English achievement, (5 there are differences between students who have high intelligence and low intelligence\\ on Hospitality English achievement, (6 there are no differences between who have high intelligence and medium intelligence on Hospitality English achievement, (7 there are differences between students who have the medium intelligence and low intelligence on Hospitality English achievement, (8 there is no interaction between the learning method and language aptitude on Hospitality English achievement, (9 there is an interaction between the learning method and the intelligence on Hospitality English achievement, (10 there is no interaction between intelligence and language aptitude on Hospitality English achievement. (11
Dehkordi, Behzad Mirzaeian; Parsapoor, Amir; Moallem, Mehdi; Lucas, Caro
In this paper, a brain emotional learning based intelligent controller (BELBIC) is developed to control the switched reluctance motor (SRM) speed. Like other intelligent controllers, BELBIC is model free and is suitable to control nonlinear systems. Motor parameter changes, operating point changes, measurement noise, open circuit fault in one phase and asymmetric phases in SRM are also simulated to show the robustness and superior performance of BELBIC. To compare the BELBIC performance with other intelligent controllers, Fuzzy Logic Controller (FLC) is developed. System responses with BELBIC and FLC are compared. Furthermore, by eliminating the position sensor, a method is introduced to estimate the rotor position. This method is based on Adaptive Neuro Fuzzy Inference System (ANFIS). The estimator inputs are four phase flux linkages. Suggested rotor position estimator is simulated in different conditions. Simulation results confirm the accurate rotor position estimation in different loads and speeds.
Dehkordi, Behzad Mirzaeian, E-mail: firstname.lastname@example.org [Department of Electrical Engineering, Faculty of Engineering, University of Isfahan, Hezar-Jerib St., Postal code 8174673441, Isfahan (Iran, Islamic Republic of); Parsapoor, Amir, E-mail: email@example.com [Department of Electrical Engineering, Faculty of Engineering, University of Isfahan, Hezar-Jerib St., Postal code 8174673441, Isfahan (Iran, Islamic Republic of); Moallem, Mehdi, E-mail: firstname.lastname@example.org [Department of Electrical Engineering, Isfahan University of Technology, Isfahan (Iran, Islamic Republic of); Lucas, Caro, E-mail: email@example.com [Centre of Excellence for Control and Intelligent Processing, Electrical and Computer Engineering Faculty, College of Engineering, University of Tehran, Tehran (Iran, Islamic Republic of)
In this paper, a brain emotional learning based intelligent controller (BELBIC) is developed to control the switched reluctance motor (SRM) speed. Like other intelligent controllers, BELBIC is model free and is suitable to control nonlinear systems. Motor parameter changes, operating point changes, measurement noise, open circuit fault in one phase and asymmetric phases in SRM are also simulated to show the robustness and superior performance of BELBIC. To compare the BELBIC performance with other intelligent controllers, Fuzzy Logic Controller (FLC) is developed. System responses with BELBIC and FLC are compared. Furthermore, by eliminating the position sensor, a method is introduced to estimate the rotor position. This method is based on Adaptive Neuro Fuzzy Inference System (ANFIS). The estimator inputs are four phase flux linkages. Suggested rotor position estimator is simulated in different conditions. Simulation results confirm the accurate rotor position estimation in different loads and speeds.
Ritchie, Stuart J.; Bates, Timothy C.; Plomin, Robert
Evidence from twin studies points to substantial environmental influences on intelligence, but the specifics of this influence are unclear. This study examined one developmental process that potentially causes intelligence differences: learning to read. In 1,890 twin pairs tested at 7, 9, 10, 12, and 16 years, a cross-lagged…
Roes, J.B.M.; Vuuren, J. van; Verbeij, N.; Nijstad, H.
This paper presents the outcome of a study performed in the Netherlands on handling multiple metadata streams regarding digital learning material. The paper describes the present metadata architecture in the Netherlands, the present suppliers and users of metadata and digital learning materials. It
Harvey, Michael G.; Kerin, Roger A.
The problem of identifying and training college students to be effective multinational marketing managers is investigated in three parts: (1) Identification of multinational manager attributes, (2) selection of multinational managers, and (3) multiple "track" training programs. (TA)
Full Text Available Deep learning has become the most popular research subject in the fields of artificial intelligence (AI and machine learning. In October 2013, MIT Technology Review commented that deep learning was a breakthrough technology. Deep learning has made progress in voice and image recognition, image classification, and natural language processing. Prior to deep learning, decision tree, linear discriminant analysis (LDA, support vector machines (SVM, k-nearest neighbors algorithm (K-NN, and ensemble learning were popular in solving classification problems. In this paper, we applied the previously mentioned and deep learning techniques to hairy scalp images. Hairy scalp problems are usually diagnosed by non-professionals in hair salons, and people with such problems may be advised by these non-professionals. Additionally, several common scalp problems are similar; therefore, non-experts may provide incorrect diagnoses. Hence, scalp problems have worsened. In this work, we implemented and compared the deep-learning method, the ImageNet-VGG-f model Bag of Words (BOW, with machine-learning classifiers, and histogram of oriented gradients (HOG/pyramid histogram of oriented gradients (PHOG with machine-learning classifiers. The tools from the classification learner apps were used for hairy scalp image classification. The results indicated that deep learning can achieve an accuracy of 89.77% when the learning rate is 1 × 10−4, and this accuracy is far higher than those achieved by BOW with SVM (80.50% and PHOG with SVM (53.0%.
Full Text Available Skill learning autonomously through interactions with the environment is a crucial ability for intelligent robot. A perception-action integration or sensorimotor cycle, as an important issue in imitation learning, is a natural mechanism without the complex program process. Recently, neurocomputing model and developmental intelligence method are considered as a new trend for implementing the robot skill learning. In this paper, based on research of the human brain neocortex model, we present a skill learning method by perception-action integration strategy from the perspective of hierarchical temporal memory (HTM theory. The sequential sensor data representing a certain skill from a RGB-D camera are received and then encoded as a sequence of Sparse Distributed Representation (SDR vectors. The sequential SDR vectors are treated as the inputs of the perception-action HTM. The HTM learns sequences of SDRs and makes predictions of what the next input SDR will be. It stores the transitions of the current perceived sensor data and next predicted actions. We evaluated the performance of this proposed framework for learning the shaking hands skill on a humanoid NAO robot. The experimental results manifest that the skill learning method designed in this paper is promising.
A Monte Carlo learning and biasing technique is described that does its learning and biasing in the random number space rather than the physical phase-space. The technique is probably applicable to all linear Monte Carlo problems, but no proof is provided here. Instead, the technique is illustrated with a simple Monte Carlo transport problem. Problems encountered, problems solved, and speculations about future progress are discussed. 12 refs
data. All the aforementioned approaches to localized MKL are formulated in terms of non-convex optimization problems, and deep the- oretical...learning. IEEE Transactions on Neural Networks, 22(3):433–446, 2011. Jingjing Yang, Yuanning Li, Yonghong Tian, Lingyu Duan, and Wen Gao. Group-sensitive
Dunjko, Vedran; Briegel, Hans J
Quantum information technologies, on the one hand, and intelligent learning systems, on the other, are both emergent technologies that are likely to have a transformative impact on our society in the future. The respective underlying fields of basic research-quantum information versus machine learning (ML) and artificial intelligence (AI)-have their own specific questions and challenges, which have hitherto been investigated largely independently. However, in a growing body of recent work, researchers have been probing the question of the extent to which these fields can indeed learn and benefit from each other. Quantum ML explores the interaction between quantum computing and ML, investigating how results and techniques from one field can be used to solve the problems of the other. Recently we have witnessed significant breakthroughs in both directions of influence. For instance, quantum computing is finding a vital application in providing speed-ups for ML problems, critical in our 'big data' world. Conversely, ML already permeates many cutting-edge technologies and may become instrumental in advanced quantum technologies. Aside from quantum speed-up in data analysis, or classical ML optimization used in quantum experiments, quantum enhancements have also been (theoretically) demonstrated for interactive learning tasks, highlighting the potential of quantum-enhanced learning agents. Finally, works exploring the use of AI for the very design of quantum experiments and for performing parts of genuine research autonomously, have reported their first successes. Beyond the topics of mutual enhancement-exploring what ML/AI can do for quantum physics and vice versa-researchers have also broached the fundamental issue of quantum generalizations of learning and AI concepts. This deals with questions of the very meaning of learning and intelligence in a world that is fully described by quantum mechanics. In this review, we describe the main ideas, recent developments and
Little, Jeri L; Bjork, Elizabeth Ligon
Although the testing effect has received a substantial amount of empirical attention, such research has largely focused on the effects of tests given after study. The present research examines the effect of using tests prior to study (i.e., as pretests), focusing particularly on how pretesting influences the subsequent learning of information that is not itself pretested but that is related to the pretested information. In Experiment 1, we found that multiple-choice pretesting was better for the learning of such related information than was cued-recall pretesting or a pre-fact-study control condition. In Experiment 2, we found that the increased learning of non-pretested related information following multiple-choice testing could not be attributed to increased time allocated to that information during subsequent study. Last, in Experiment 3, we showed that the benefits of multiple-choice pretesting over cued-recall pretesting for the learning of related information persist over 48 hours, thus demonstrating the promise of multiple-choice pretesting to potentiate learning in educational contexts. A possible explanation for the observed benefits of multiple-choice pretesting for enhancing the effectiveness with which related nontested information is learned during subsequent study is discussed.
Many studies suggest that classical music can inccrease the listeners’ intelligence, including mathematical intelligence [3, 12, 2, 11]. In this research, we used the classical music of Baroque era as the backsound during math learning. The research method used was quasi experiment with nonequivalent pretest-posttest control group design to grade V SD students in Tasikmalaya city. The results show that the use of classical music of Baroque era during the learning of mathematics gave a high co...
Demetriadis, Stavros; Xhafa, Fatos
Adaptation and personalization have been extensively studied in CSCL research community aiming to design intelligent systems that adaptively support eLearning processes and collaboration. Yet, with the fast development in Internet technologies, especially with the emergence of new data technologies and the mobile technologies, new opportunities and perspectives are opened for advanced adaptive and personalized systems. Adaptation and personalization are posing new research and development challenges to nowadays CSCL systems. In particular, adaptation should be focused in a multi-dimensional way (cognitive, technological, context-aware and personal). Moreover, it should address the particularities of both individual learners and group collaboration. As a consequence, the aim of this book is twofold. On the one hand, it discusses the latest advances and findings in the area of intelligent adaptive and personalized learning systems. On the other hand it analyzes the new implementation perspectives for intelligen...
Prieta, Fernando; Mascio, Tania; Gennari, Rosella; Rodríguez, Javier; Vittorini, Pierpaolo
The 6th International Conference in Methodologies and intelligent Systems for Technology Enhanced Learning held in Seville (Spain) is host by the University of Seville from 1st to 3rd June, 2016. The 6th edition of this conference expands the topics of the evidence-based TEL workshops series in order to provide an open forum for discussing intelligent systems for TEL, their roots in novel learning theories, empirical methodologies for their design or evaluation, stand-alone solutions or web-based ones. It intends to bring together researchers and developers from industry, the education field and the academic world to report on the latest scientific research, technical advances and methodologies.
This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics like mathematical optimization or evolutionary algorithms are touched. All concepts and ideas are outlined in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics. The major topics are extensively outlined with exploratory examples and applications. The primary goal is to be as illustrative as possible without hiding problems and pitfalls but to address them. The character of an illustrative cookbook is complemented with specific sections that address more fundamental questions like the relation between machine learning and human intelligence. All topics are completely demonstrated with the computing platform Mathematica and the Computational Intelligence Packages (CIP), a high-level function library developed with M...
Juvy G. Mojares
Full Text Available A number of educators argue that MI helps students build positive attitudes toward learning in English class. A study says that “Students who are using their areas of strength to learn feel more competent and confident and enjoy the challenge of acquiring new information”. This study sought to find out the MI of selected Associate in Hotel and Restaurant Management (AHRMstudents. It also delved on the implication of MI to the teaching of the subject. The research design used was basically a descriptive method employing an adopted MI survey form administered to Oral Communication students. There were five sections of second year AHRM students. Out of 196 students, 111 were selected to answer the survey questions by the use of the combination of stratified random sampling and the Slovin’s formula. Results showed that the top three intelligences the respondents have based on their scores are intrapersonal, followed by bodily/kinesthetic and logical/mathematical intelligences; least of the intelligences are verbal/linguistic and visual/spatial.This implied that teaching of Oral Communication should nurture the intrapersonal intelligence and more importantly should enhance and develop the verbal strength of the AHRM students. Teaching should focus more on improving communication skills with others, and not just within themselves.
Classifying observations from a mixture distribution is considered a simple model for learning. Existing results are integrated to obtain asymptotically optimal estimators of the classification rule. The asymptotic relative efficiencies show that a tutored learner is considerably more efficient on difficult problems, but only slightly more efficient on easy problems. This suggests a combined method that seeks instruction on hard cases
Martinez, Luz M.
The changing social and economic reality of our world continues to shape how learning is conducted and acquired in the adult classroom and beyond. Given the pivotal importance for an adult to develop a variety of cognitive and emotional skills and given the need to work in collaboration with others, within educational environments and the…
Nacheva-Skopalik, Lilyana; Green, Steve
Access to education is one of the main human rights. Everyone should have access to education and be capable of benefiting from it. However there are a number who are excluded, not because of a lack of ability but simply because they have a disability or specific need which current education systems do not address. A learning system in which…
Full Text Available The continuous optimization of business processes is still a challenge for companies. In times of digital transformation, faster changing internal and external framework conditions and new customer expectations for fastest delivery and best quality of goods and many more, companies should set up their internal process at the best way. But what to do if framework conditions changed unexpectedly? The purpose of the paper is to analyse how the digital transformation will impact the Business Process Management (BPM while using methods like machine learning or artificial intelligence. Therefore, the core components will be explained, compared and set up in relation. To identify application areas interviews and analysis will be held up with digital companies. The finding of the paper will be recommendation for action in the field of BPM and process optimization through machine learning and artificial intelligence. The Approach of optimizing and management processes via machine learning and artificial intelligence will support companies to decide which tool will be the best for automated BPM.
M. H. El-Saify
Full Text Available The distillation process is vital in many fields of chemical industries, such as the two-coupled distillation columns that are usually highly nonlinear Multi-Input Multi-Output (MIMO coupled processes. The control of MIMO process is usually implemented via a decentralized approach using a set of Single-Input Single-Output (SISO loop controllers. Decoupling the MIMO process into group of single loops requires proper input-output pairing and development of decoupling compensator unit. This paper proposes a novel intelligent decoupling approach for MIMO processes based on new MIMO brain emotional learning architecture. A MIMO architecture of Brain Emotional Learning Based Intelligent Controller (BELBIC is developed and applied as a decoupler for 4 input/4 output highly nonlinear coupled distillation columns process. Moreover, the performance of the proposed Brain Emotional Learning Based Intelligent Decoupler (BELBID is enhanced using Particle Swarm Optimization (PSO technique. The performance is compared with the PSO optimized steady state decoupling compensation matrix. Mathematical models of the distillation columns and the decouplers are built and tested in simulation environment by applying the same inputs. The results prove remarkable success of the BELBID in minimizing the loops interactions without degrading the output that every input has been paired with.
Nakamura, Yasuyuki; Nishi, Shinnosuke; Muramatsu, Yuta; Yasutake, Koichi; Yamakawa, Osamu; Tagawa, Takahiro
In this paper, we introduce a mathematical model for collaborative learning and the answering process for multiple-choice questions. The collaborative learning model is inspired by the Ising spin model and the model for answering multiple-choice questions is based on their difficulty level. An intensive simulation study predicts the possibility of…
Manapa, I. Y. H.; Budiyono; Subanti, S.
The aim of this research is to determine the effect of TAI or direct learning (DL) on student’s mathematics achievement viewed from spatial intelligence. This research was quasi experiment. The population was 10th grade senior high school students in Alor Regency on academic year of 2015/2016 chosen by stratified cluster random sampling. The data were collected through achievement and spatial intelligence test. The data were analyzed by two ways, ANOVA with unequal cell and scheffe test. This research showed that student’s mathematics achievement used in TAI had better results than DL models one. In spatial intelligence category, student’s mathematics achievement with high spatial intelligence has better result than the other spatial intelligence category and students with high spatial intelligence have better results than those with middle spatial intelligence category. At TAI, student’s mathematics achievement with high spatial intelligence has better result than those with the other spatial intelligence category and students with middle spatial intelligence have better results than students with low spatial intelligence. In DL model, student’s mathematics achievement with high and middle spatial intelligence has better result than those with low spatial intelligence, but students with high spatial intelligence and middle spatial intelligence have no significant difference. In each category of spatial intelligence and learning model, mathematics achievement has no significant difference.
Qiu, Guoqing; Kou, Qianqian; Niu, Ting
With the development of artificial intelligence and data mining technology, big data has gradually entered people's field of vision. In the process of dealing with large data, clustering is an important processing method. By introducing the reverse learning method in the clustering process of PAM clustering algorithm, to further improve the limitations of one-time clustering in unsupervised clustering learning, and increase the diversity of clustering clusters, so as to improve the quality of clustering. The algorithm analysis and experimental results show that the algorithm is feasible.
Full Text Available This study aimed to translate MIDAS questionnaire from English into Persian and determine its content validity and reliability. MIDAS was translated and validated on a sample (N = 110 of Iranian adult population. The participants were both male and female with the age range of 17-57. They were at different educational levels and from different ethnic groups in Iran. A translating team, consisting of five members, bilingual in English and Persian and familiar with multiple intelligences (MI theory and practice, were involved in translating and determining content validity, which included the processes of forward translation, back-translation, review, final proof-reading, and testing. The statistical analyses of inter-scale correlation were performed using the Cronbach's alpha coefficient. In an intra-class correlation, the Cronbach's alpha was high for all of the questions. Translation and content validity of MIDAS questionnaire was completed by a proper process leading to high reliability and validity. The results suggest that Persian MIDAS (P-MIDAS could serve as a valid and reliable instrument for measuring Iranian adults MIs.
Full Text Available Self-driving cars are attracting significant attention during the last few years, which makes the technology advances jump fast and reach a point of having a number of automated vehicles on the roads. Therefore, the necessity of cooperative driving for these automated vehicles is exponentially increasing. One of the main issues in the cooperative driving world is the Multirobot Task Allocation (MRTA problem. This paper addresses the MRTA problem, specifically for the problem of vehicles and requests allocation. The objective is to introduce a hybrid optimization-based approach to solve the problem of multiple intelligent vehicles requests allocation as an instance of MRTA problem, to find not only a feasible solution, but also an optimized one as per the objective function. Several test scenarios were implemented in order to evaluate the efficiency of the proposed approach. These scenarios are based on well-known benchmarks; thus a comparative study is conducted between the obtained results and the suboptimal results. The analysis of the experimental results shows that the proposed approach was successful in handling various scenarios, especially with the increasing number of vehicles and requests, which displays the proposed approach efficiency and performance.
Ryan, Joseph J; Gontkovsky, Samuel T; Kreiner, David S; Tree, Heather A
Forty patients with relapsing-remitting multiple sclerosis (MS) completed the 10 core Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) subtests. Means for age and education were 42.05 years (SD = 9.94) and 14.33 years (SD = 2.40). For all participants, the native language was English. The mean duration of MS diagnosis was 8.17 years (SD = 7.75), and the mean Expanded Disability Status Scale (EDSS; Kurtzke, 1983 ) score was 3.73 (SD = 1.41) with a range from 2.0 to 6.5. A control group of healthy individuals with similar demographic characteristics also completed the WAIS-IV and were provided by the test publisher. Compared to controls, patients with MS earned significantly lower subtest and composite scores. The patients' mean scores were consistently in the low-average to average range, and the patterns of performance across groups did not differ significantly, although there was a trend towards higher scores on the Verbal Comprehension Index (VCI) and lower scores on the Processing Speed Index (PSI). Approximately 78% of patients had actual Full Scale IQs that were significantly lower than preillness, demographically based IQ estimates.
Kappe, F.R.; Boekholt, L.; den Rooyen, C.; van der Flier, H.
Multiple and specific learning criteria were used to examine the predictive validity of the Learning Style Questionnaire (LSQ). Ninety-nine students in a college of higher learning in The Netherlands participated in a naturally occurring field study. The students were categorized into one of four
Schneider, Michael K.; Alford, Mark; Babko-Malaya, Olga; Blasch, Erik; Chen, Lingji; Crespi, Valentino; HandUber, Jason; Haney, Phil; Nagy, Jim; Richman, Mike; Von Pless, Gregory; Zhu, Howie; Rhodes, Bradley J.
Our Multi-INT Data Association Tool (MIDAT) learns patterns of life (POL) of a geographical area from video analyst observations called out in textual reporting. Typical approaches to learning POLs from video make use of computer vision algorithms to extract locations in space and time of various activities. Such approaches are subject to the detection and tracking performance of the video processing algorithms. Numerous examples of human analysts monitoring live video streams annotating or "calling out" relevant entities and activities exist, such as security analysis, crime-scene forensics, news reports, and sports commentary. This user description typically corresponds with textual capture, such as chat. Although the purpose of these text products is primarily to describe events as they happen, organizations typically archive the reports for extended periods. This archive provides a basis to build POLs. Such POLs are useful for diagnosis to assess activities in an area based on historical context, and for consumers of products, who gain an understanding of historical patterns. MIDAT combines natural language processing, multi-hypothesis tracking, and Multi-INT Activity Pattern Learning and Exploitation (MAPLE) technologies in an end-to-end lab prototype that processes textual products produced by video analysts, infers POLs, and highlights anomalies relative to those POLs with links to "tracks" of related activities performed by the same entity. MIDAT technologies perform well, achieving, for example, a 90% F1-value on extracting activities from the textual reports.
Ren, Xuezhu; Schweizer, Karl; Wang, Tengfei; Xu, Fen
The present study provides a new account of how fluid intelligence influences academic performance. In this account a complex learning component of fluid intelligence tests is proposed to play a major role in predicting academic performance. A sample of 2, 277 secondary school students completed two reasoning tests that were assumed to represent fluid intelligence and standardized math and verbal tests assessing academic performance. The fluid intelligence data were decomposed into a learning component that was associated with the position effect of intelligence items and a constant component that was independent of the position effect. Results showed that the learning component contributed significantly more to the prediction of math and verbal performance than the constant component. The link from the learning component to math performance was especially strong. These results indicated that fluid intelligence, which has so far been considered as homogeneous, could be decomposed in such a way that the resulting components showed different properties and contributed differently to the prediction of academic performance. Furthermore, the results were in line with the expectation that learning was a predictor of performance in school.
Gunderson, Elizabeth A; Donnellan, M Brent; Robins, Richard W; Trzesniewski, Kali H
Individuals who believe that intelligence can be improved with effort (an incremental theory of intelligence) and who approach challenges with the goal of improving their understanding (a learning goal) tend to have higher academic achievement. Furthermore, parent praise is associated with children's incremental theories and learning goals. However, the influences of parental criticism, as well as different forms of praise and criticism (e.g., process vs. person), have received less attention. We examine these associations by analyzing two existing datasets (Study 1: N = 317 first to eighth graders; Study 2: N = 282 fifth and eighth graders). In both studies, older children held more incremental theories of intelligence, but lower learning goals, than younger children. Unexpectedly, the relation between theories of intelligence and learning goals was nonsignificant and did not vary with children's grade level. In both studies, overall perceived parent praise positively related to children's learning goals, whereas perceived parent criticism negatively related to incremental theories of intelligence. In Study 2, perceived parent process praise was the only significant (positive) predictor of children's learning goals, whereas perceived parent person criticism was the only significant (negative) predictor of incremental theories of intelligence. Finally, Study 2 provided some support for our hypothesis that age-related differences in perceived parent praise and criticism can explain age-related differences in children's learning goals. Results suggest that incremental theories of intelligence and learning goals might not be strongly related during childhood and that perceived parent praise and criticism have important, but distinct, relations with each motivational construct. Copyright © 2018 Elsevier Inc. All rights reserved.
Jha, Sumit Kumar [University of Central Florida, Orlando; Pullum, Laura L [ORNL; Ramanathan, Arvind [ORNL
Embedded intelligent systems ranging from tiny im- plantable biomedical devices to large swarms of autonomous un- manned aerial systems are becoming pervasive in our daily lives. While we depend on the flawless functioning of such intelligent systems, and often take their behavioral correctness and safety for granted, it is notoriously difficult to generate test cases that expose subtle errors in the implementations of machine learning algorithms. Hence, the validation of intelligent systems is usually achieved by studying their behavior on representative data sets, using methods such as cross-validation and bootstrapping.In this paper, we present a new testing methodology for studying the correctness of intelligent systems. Our approach uses symbolic decision procedures coupled with statistical hypothesis testing to. We also use our algorithm to analyze the robustness of a human detection algorithm built using the OpenCV open-source computer vision library. We show that the human detection implementation can fail to detect humans in perturbed video frames even when the perturbations are so small that the corresponding frames look identical to the naked eye.
Tacchella, Andrea; Romano, Silvia; Ferraldeschi, Michela; Salvetti, Marco; Zaccaria, Andrea; Crisanti, Andrea; Grassi, Francesca
Background: Multiple sclerosis has an extremely variable natural course. In most patients, disease starts with a relapsing-remitting (RR) phase, which proceeds to a secondary progressive (SP) form. The duration of the RR phase is hard to predict, and to date predictions on the rate of disease progression remain suboptimal. This limits the opportunity to tailor therapy on an individual patient's prognosis, in spite of the choice of several therapeutic options. Approaches to improve clinical decisions, such as collective intelligence of human groups and machine learning algorithms are widely investigated. Methods: Medical students and a machine learning algorithm predicted the course of disease on the basis of randomly chosen clinical records of patients that attended at the Multiple Sclerosis service of Sant'Andrea hospital in Rome. Results: A significant improvement of predictive ability was obtained when predictions were combined with a weight that depends on the consistence of human (or algorithm) forecasts on a given clinical record. Conclusions: In this work we present proof-of-principle that human-machine hybrid predictions yield better prognoses than machine learning algorithms or groups of humans alone. To strengthen this preliminary result, we propose a crowdsourcing initiative to collect prognoses by physicians on an expanded set of patients.
Nwagu, Evelyn N; Ezedum, Chuks E; Nwagu, Eric K N
The rising incidence of drug abuse among youths in Nigeria is a source of concern for health educators. This study was carried out on primary six pupils to determine the effect of a Multiple Intelligences Teaching Approach Drug Education Programme (MITA-DEP) on pupils' acquisition of drug refusal skills. A programme of drug education based on the Multiple Intelligences Teaching Approach (MITA) was developed. An experimental group was taught using this programme while a control group was taught using the same programme but developed based on the Traditional Teaching Approach. Pupils taught with the MITA acquired more drug refusal skills than those taught with the Traditional Teaching Approach. Urban pupils taught with the MITA acquired more skills than rural pupils. There was no statistically significant difference in the mean refusal skills of male and female pupils taught with the MITA. © The Author(s) 2014.
Chen, C. M.
Personalized curriculum sequencing is an important research issue for web-based learning systems because no fixed learning paths will be appropriate for all learners. Therefore, many researchers focused on developing e-learning systems with personalized learning mechanisms to assist on-line web-based learning and adaptively provide learning paths…
Full Text Available Many studies suggest that classical music can inccrease the listeners’ intelligence, including mathematical intelligence [3, 12, 2, 11]. In this research, we used the classical music of Baroque era as the backsound during math learning. The research method used was quasi experiment with nonequivalent pretest-posttest control group design to grade V SD students in Tasikmalaya city. The results show that the use of classical music of Baroque era during the learning of mathematics gave a high contribution to the mathematical intelligence of fifth grade elementary school students. The student's mathematical intelligence can be seen in the cognitive abilities which were at the high level in the knowledge up to analysis, and at the low level in the synthesis and evaluation. Low mathematical intelligence was shown by students in calculating amount and difference of time, and projecting word problem into the form of mathematical problems. High mathematical intelligence arose in reading and writing integers in words and numbers. Thus, the mathematical intelligence of fifth grade Elementary School students will be better if classical music of Baroque era is used as the backsound in mathematics learning about solving math problems.
Najafi, Mostafa; Akouchekian, Shahla; Ghaderi, Alireza; Mahaki, Behzad; Rezaei, Mariam
Background: Attention deficit and hyperactivity disorder (ADHD) is a common psychological problem during childhood. This study aimed to evaluate multiple intelligences profiles of children with ADHD in comparison with non-ADHD. Materials and Methods: This cross-sectional descriptive analytical study was done on 50 children of 6–13 years old in two groups of with and without ADHD. Children with ADHD were referred to Clinics of Child and Adolescent Psychiatry, Isfahan University of Medical Scie...
Full Text Available A key objective of education is to prepare individuals to be fully-functioning learners. This entails developing the cognitive, metacognitive, motivational, cultural, and emotional competencies. The present study aimed to examine the interrelationships among adaptability, tolerance of ambiguity, cultural intelligence, learning approach, and language achievement as manifestations of the above competencies within a single model. The participants comprised one hundred eighty BA and MA Iranian university students studying English language teaching and translation. The instruments used in this study consisted of the translated versions of four questionnaires: second language tolerance of ambiguity scale, adaptability taken from emotional intelligence inventory, cultural intelligence (CQ inventory, and the revised study process questionnaire measuring surface and deep learning. The results estimated via structural equation modeling (SEM revealed that the proposed model containing the variables under study had a good fit with the data. It was found that all the variables except adaptability directly influenced language achievement with deep approach having the highest impact and ambiguity tolerance having the lowest influence. In addition, ambiguity tolerance was a positive and significant predictor of deep approach. CQ was found to be under the influence of both ambiguity tolerance and adaptability. The findings were discussed in the light of the yielded results.
Dembczyński, Krzysztof; Kotłowski, Wojciech; Słowiński, Roman; Szeląg, Marcin
In this paper, we consider the multiple attribute ranking problem from a Machine Learning perspective. We propose two approaches to statistical learning of an ensemble of decision rules from decision examples provided by the Decision Maker in terms of pairwise comparisons of some objects. The first approach consists in learning a preference function defining a binary preference relation for a pair of objects. The result of application of this function on all pairs of objects to be ranked is then exploited using the Net Flow Score procedure, giving a linear ranking of objects. The second approach consists in learning a utility function for single objects. The utility function also gives a linear ranking of objects. In both approaches, the learning is based on the boosting technique. The presented approaches to Preference Learning share good properties of the decision rule preference model and have good performance in the massive-data learning problems. As Preference Learning and Multiple Attribute Decision Aiding share many concepts and methodological issues, in the introduction, we review some aspects bridging these two fields. To illustrate the two approaches proposed in this paper, we solve with them a toy example concerning the ranking of a set of cars evaluated by multiple attributes. Then, we perform a large data experiment on real data sets. The first data set concerns credit rating. Since recent research in the field of Preference Learning is motivated by the increasing role of modeling preferences in recommender systems and information retrieval, we chose two other massive data sets from this area - one comes from movie recommender system MovieLens, and the other concerns ranking of text documents from 20 Newsgroups data set.
Full Text Available This study relied on Sheorey and Mokhtari's (2001 metacognitive knowledge about reading strategies,which was influenced by a number of factors, including previous experiences, beliefs, culture-specific instructional practices and proficiency in a second language (L2. This study is thereby built on the premise that EFL readers' metacognitive awareness of reading strategies was also influenced by their multiple intelligence profiles. The purpose of this study is to explore the integrated impact of multiple intelligences and reading strategies on EFL learners' reading performance. This was an explanatory sequential study, combining quantitative and qualitative research design. A convenience sample of 60 high school EFL learners from one of the Anatolian high schools in Istanbul, Turkey participated in this study. Two quantitative surveys and an achievement test, followed by a qualitative observation checklist, were used in this study to collect the data. The results of the study indicated that females were found to be more successful than males in EFL reading in addition to employing more support and problem solving reading strategies. In addition, this study also found that successful readers in EFL seemed to use more global strategies and tended to support reading strategies if they were dominant in musical, intrapersonal intelligences. Moreover, successful musically or verbally intelligent readers were found to use more problem-solving strategies. As a result, this study provides EFL teachers and curriculum designers with valuable information that will foster awareness of the role of these intelligence-strategy relations may play in triggering success in EFL reading, and thus, in their overall proficiency in the language.
Kim, Dong Yun; Seong, Poong Hyun
In this study, we proposed a fuzzy gain scheduler with intelligent learning algorithm for a reactor control. In the proposed algorithm, we used the gradient descent method to learn the rule bases of a fuzzy algorithm. These rule bases are learned toward minimizing an objective function, which is called a performance cost function. The objective of fuzzy gain scheduler with intelligent learning algorithm is the generation of adequate gains, which minimize the error of system. The condition of every plant is generally changed as time gose. That is, the initial gains obtained through the analysis of system are no longer suitable for the changed plant. And we need to set new gains, which minimize the error stemmed from changing the condition of a plant. In this paper, we applied this strategy for reactor control of nuclear power plant (NPP), and the results were compared with those of a simple PI controller, which has fixed gains. As a result, it was shown that the proposed algorithm was superior to the simple PI controller
Full Text Available Actualizing instructional intercessions to suit learner contrasts has gotten extensive consideration. Among these individual contrast factors, the observational confirmation in regards to the academic benefit of learning styles has been addressed, yet the examination on the issue proceeds. Late improvements in web-based executions have driven researchers to re-examine the learning styles in adaptive tutoring frameworks. Adaptivity in intelligent tutoring systems is strongly influenced by the learning style of a learner. This study involved extensive document analysis of adaptive tutoring systems based on learning styles. Seventy-eight studies in literature from 2001 to 2016 were collected and classified under select parameters such as main focus, purpose, research types, methods, types and levels of participants, field/area of application, learner modelling, data gathering tools used and research findings. The current studies reveal that majority of the studies defined a framework or architecture of adaptive intelligent tutoring system (AITS while others focused on impact of AITS on learner satisfaction and academic outcomes. Currents trends, gaps in literature and ications were discussed.
Tong, Fang; Fu, Tong
To evaluate the differences in fluid intelligence tests between normal children and children with learning difficulties in China. PubMed, MD Consult, and other Chinese Journal Database were searched from their establishment to November 2012. After finding comparative studies of Raven measurements of normal children and children with learning difficulties, full Intelligent Quotation (FIQ) values and the original values of the sub-measurement were extracted. The corresponding effect model was selected based on the results of heterogeneity and parallel sub-group analysis was performed. Twelve documents were included in the meta-analysis, and the studies were all performed in mainland of China. Among these, two studies were performed at child health clinics, the other ten sites were schools and control children were schoolmates or classmates. FIQ was evaluated using a random effects model. WMD was -13.18 (95% CI: -16.50- -9.85). Children with learning difficulties showed significantly lower FIQ scores than controls (Pintelligence of children with learning difficulties was lower than that of normal children. Delayed development in sub-items of C, D, and E was more obvious.
Neto, Félix; Furnham, Adrian
In this study, 148 Portuguese adults (M = 45.4 years) rated themselves and their children on overall IQ and on H. Gardner (1999) 10 intelligence subtypes. Men's self-estimates were not significantly higher than women's on any of the 11 estimates. The results were in line with previous studies, in that both sexes rated the overall intelligence of their first male children higher than the first female children. Higher parental IQ self-estimates correspond with higher IQ estimates for children. Globally parents estimated that their sons had significantly higher IQs than their daughters. In particular, parents rated their son's spiritual intelligence higher than those of their daughters. Children's age and sex, and parents' age and sex were all non-significant predictors of the overall "g" score estimates of the first two children. Participants thought verbal, mathematical, and spatial intelligence were the best indicators of the overall intelligence for self and children. There were no sex differences in experience of, or attitudes towards, intelligence testing. Results are discussed in terms of the growing literature in the self-estimates of intelligence, as well as limitations of that approach.
Fieldwork provides a means by which students are socialized into their profession and their careers. During Level I and Level II fieldwork, students acquire and apply the knowledge, skills, and attitudes that will enable them to achieve entry-level competence The experiences that students have during Level II fieldwork influence their subsequent career choices. To support these experiences, students form a variety of helping relationships with faculty members, clinicians, peers, family, and friends. This article examines the role and responsibilities of the student as protégé and of the clinical educator as information peer, collegial peer, special peer, and mentor. In light of the challenges faced by most clinicians secondary to health care reform, an alternative to the one-to-one supervision model is presented. The multiple mentoring model of fieldwork supervision has several advantages: (a) fieldwork educators work with students according to their strengths and interests; (b) the model promotes collegiality and clinical reasoning skills because students use each other as resources and observe different fieldwork educators approaching similar situations; and (c) the model allows a fieldwork site to accept more students at one time, while minimizing stress on any one fieldwork educator. A framework defining the functions of the mentor-protégé relationship is provided, with an emphasis on the effect that clinical educators have in their roles as mentors, guides, role models, and teachers who provide opportunities for the student to develop entry-level competency in a chosen profession.
Wallace, Scott A.; McCartney, Robert; Russell, Ingrid
Project MLeXAI (Machine Learning eXperiences in Artificial Intelligence (AI)) seeks to build a set of reusable course curriculum and hands on laboratory projects for the artificial intelligence classroom. In this article, we describe two game-based projects from the second phase of project MLeXAI: Robot Defense - a simple real-time strategy game and Checkers - a classic turn-based board game. From the instructors' prospective, we examine aspects of design and implementation as well as the challenges and rewards of using the curricula. We explore students' responses to the projects via the results of a common survey. Finally, we compare the student perceptions from the game-based projects to non-game based projects from the first phase of Project MLeXAI.
Gallardo, Carmen Ecija; Velasco, Lilian
This paper reports on the first test of the value of an online curriculum in social intelligence (SI). Built from current social and cognitive neuroscience research findings, the 50 session SI program was administered, with facilitation in Spanish by classroom instructors, to 207 students from Universidad Rey Juan Carlos in Madrid as part of their undergraduate classes. All materials were translated into Castilian Spanish, including outcome measures of SI that have been used in prior studies to provide valid estimates of two key components of social intelligence: 1) Sensitivity to others and 2) confidence in one’s capacity to manage social situations. Pre- and Posttest were administered to participants in the SI training, and also to 87 students in similar classes who did not receive the program who served as the control group. Gender and emotional intelligence levels at pretest also were examined as potential individual differences that might affect the impact of the program on study outcomes. Repeated measures ANOVAs on study outcomes revealed significant increases, from pre to post, in most measures of social intelligence for program participants in comparison to controls, with no effects of gender or age on program effectiveness. Prior scores on emotional intelligence were not a prerequisite for learning from the program. Some findings suggest ways the program may be improved to have stronger effects. Nonetheless, the findings indicate that the SI program tested here shows considerable promise as a means to increase the willingness of young adults to take the perspective of others and enhance their efficacy for initiating and sustaining positive social connections. PMID:26076133
Eva K Zautra
Full Text Available This paper reports on the first test of the value of an online curriculum in social intelligence (SI. Built from current social and cognitive neuroscience research findings, the 50 session SI program was administered, with facilitation in Spanish by classroom instructors, to 207 students from Universidad Rey Juan Carlos in Madrid as part of their undergraduate classes. All materials were translated into Castilian Spanish, including outcome measures of SI that have been used in prior studies to provide valid estimates of two key components of social intelligence: 1 Sensitivity to others and 2 confidence in one's capacity to manage social situations. Pre- and Posttest were administered to participants in the SI training, and also to 87 students in similar classes who did not receive the program who served as the control group. Gender and emotional intelligence levels at pretest also were examined as potential individual differences that might affect the impact of the program on study outcomes. Repeated measures ANOVAs on study outcomes revealed significant increases, from pre to post, in most measures of social intelligence for program participants in comparison to controls, with no effects of gender or age on program effectiveness. Prior scores on emotional intelligence were not a prerequisite for learning from the program. Some findings suggest ways the program may be improved to have stronger effects. Nonetheless, the findings indicate that the SI program tested here shows considerable promise as a means to increase the willingness of young adults to take the perspective of others and enhance their efficacy for initiating and sustaining positive social connections.
Zautra, Eva K; Zautra, Alex J; Gallardo, Carmen Ecija; Velasco, Lilian
This paper reports on the first test of the value of an online curriculum in social intelligence (SI). Built from current social and cognitive neuroscience research findings, the 50 session SI program was administered, with facilitation in Spanish by classroom instructors, to 207 students from Universidad Rey Juan Carlos in Madrid as part of their undergraduate classes. All materials were translated into Castilian Spanish, including outcome measures of SI that have been used in prior studies to provide valid estimates of two key components of social intelligence: 1) Sensitivity to others and 2) confidence in one's capacity to manage social situations. Pre- and Posttest were administered to participants in the SI training, and also to 87 students in similar classes who did not receive the program who served as the control group. Gender and emotional intelligence levels at pretest also were examined as potential individual differences that might affect the impact of the program on study outcomes. Repeated measures ANOVAs on study outcomes revealed significant increases, from pre to post, in most measures of social intelligence for program participants in comparison to controls, with no effects of gender or age on program effectiveness. Prior scores on emotional intelligence were not a prerequisite for learning from the program. Some findings suggest ways the program may be improved to have stronger effects. Nonetheless, the findings indicate that the SI program tested here shows considerable promise as a means to increase the willingness of young adults to take the perspective of others and enhance their efficacy for initiating and sustaining positive social connections.
Proceedings of the 2013 Chinese Intelligent Automation Conference presents selected research papers from the CIAC’13, held in Yangzhou, China. The topics include e.g. adaptive control, fuzzy control, neural network based control, knowledge based control, hybrid intelligent control, learning control, evolutionary mechanism based control, multi-sensor integration, failure diagnosis, and reconfigurable control. Engineers and researchers from academia, industry, and government can gain an inside view of new solutions combining ideas from multiple disciplines in the field of intelligent automation. Zengqi Sun and Zhidong Deng are professors at the Department of Computer Science, Tsinghua University, China.
Proceedings of the 2013 Chinese Intelligent Automation Conference presents selected research papers from the CIAC’13, held in Yangzhou, China. The topics include e.g. adaptive control, fuzzy control, neural network based control, knowledge based control, hybrid intelligent control, learning control, evolutionary mechanism based control, multi-sensor integration, failure diagnosis, and reconfigurable control. Engineers and researchers from academia, industry, and government can gain an inside view of new solutions combining ideas from multiple disciplines in the field of intelligent automation. Zengqi Sun and Zhidong Deng are professors at the Department of Computer Science, Tsinghua University, China.
Dekker, Sanne; Jolles, Jelle
This study evaluated a new teaching module about "Brain and Learning" using a controlled design. The module was implemented in high school biology classes and comprised three lessons: (1) brain processes underlying learning; (2) neuropsychological development during adolescence; and (3) lifestyle factors that influence learning performance. Participants were 32 biology teachers who were interested in "Brain and Learning" and 1241 students in grades 8-9. Teachers' knowledge and students' beliefs about learning potential were examined using online questionnaires. Results indicated that before intervention, biology teachers were significantly less familiar with how the brain functions and develops than with its structure and with basic neuroscientific concepts (46 vs. 75% correct answers). After intervention, teachers' knowledge of "Brain and Learning" had significantly increased (64%), and more students believed that intelligence is malleable (incremental theory). This emphasizes the potential value of a short teaching module, both for improving biology teachers' insights into "Brain and Learning," and for changing students' beliefs about intelligence.
D'Amico, Antonella; Guastaferro, Teresa
The purpose of this study was to analyse adjustment problems in a group of adolescents with a Specific Learning Disorder (SLD), examining to what extent they depend on the severity level of the learning disorder and/or on the individual's level of emotional intelligence. Adjustment problems,, perceived severity levels of SLD, and emotional and…
Sandberg, J.; Maris, M.; Hoogendoorn, P.
Two groups participated in a study on the added value of a gaming context and intelligent adaptation for a mobile learning application. The control group worked at home for a fortnight with the original Mobile English Learning application (MEL-original) developed in a previous project. The
Yukay Yuksel, Muge
In this study, to what extent 7-9-year old primary school children's' social behaviors at school vary depending on their grade, gender and learning disability was investigated. In addition, the predictive value of the intelligence scores of children with normal development and with learning disability was explored for their negative and positive…
Yuni Sufyanti Arief
Full Text Available Introduction: Multiple Intelligences can be incresed by playing stimulation with educative playing instrument. Educative playing is the activity that uses educate ways and instrument. Educative playing very important to increase speech development, cognitive, socialisation with the environment and also increse the streght and skill of child’s body. Method: Design used in this study was quasy experiment design. The population was preschool children 4–5 years old in working area of Mojo Public Health Centre of Surabaya. The sample was preschool children 4–5 years old that spesiﬁc in inclution criteria of this study. Data were analyzed by wilcoxon signed rank test to compare the ordinal data pre and post intervention and mann withney u-test that compare between intervention group and control group with level of signiﬁ cance of α ≤ 0.05. Result: The result of speech development that analyzed by Wilcoxon signed rank test showed that controlled group had p = 0.157 and intervention group had p = 0.005 and the result of mann whitney test was p = 0.03. The result of kinesthetic development by wilcoxon signed rank test showed that controlled group has p = 0.317 and intervention group has p = 0.005, and analyzed by mann whitney test in kinesthetic development showed the result of p = 0.02. Discussion: Educative playing instrument (picture cards, play dough, origami and meronce increased speech and ﬁne motoric development of preschool children 4–5 years old in Mojo Indah Kindergarten of Surabaya. Educative playing instrument is the activity that makes the playing function optimally in child development and this activity can increase the child development such as physical, speech, cognitive and social adaptation.
Fisch, Shalom M
It is increasingly common for an educational media project to span several media platforms (e.g., TV, Web, hands-on materials), assuming that the benefits of learning from multiple media extend beyond those gained from one medium alone. Yet research typically has investigated learning from a single medium in isolation. This paper reviews several recent studies to explore cross-platform learning (i.e., learning from combined use of multiple media platforms) and how such learning compares to learning from one medium. The paper discusses unique benefits of cross-platform learning, a theoretical mechanism to explain how these benefits might arise, and questions for future research in this emerging field. Copyright © 2013 Wiley Periodicals, Inc., A Wiley Company.
A viewgraph presentation on the lessons learned and flight results from the F15 Intelligent Flight Control System (IFCS) project is shown. The topics include: 1) F-15 IFCS Project Goals; 2) Motivation; 3) IFCS Approach; 4) NASA F-15 #837 Aircraft Description; 5) Flight Envelope; 6) Limited Authority System; 7) NN Floating Limiter; 8) Flight Experiment; 9) Adaptation Goals; 10) Handling Qualities Performance Metric; 11) Project Phases; 12) Indirect Adaptive Control Architecture; 13) Indirect Adaptive Experience and Lessons Learned; 14) Gen II Direct Adaptive Control Architecture; 15) Current Status; 16) Effect of Canard Multiplier; 17) Simulated Canard Failure Stab Open Loop; 18) Canard Multiplier Effect Closed Loop Freq. Resp.; 19) Simulated Canard Failure Stab Open Loop with Adaptation; 20) Canard Multiplier Effect Closed Loop with Adaptation; 21) Gen 2 NN Wts from Simulation; 22) Direct Adaptive Experience and Lessons Learned; and 23) Conclusions
Utilizing high-resolution remote sensing images for earth observation has become the common method of land use monitoring. It requires great human participation when dealing with traditional image interpretation, which is inefficient and difficult to guarantee the accuracy. At present, the artificial intelligent method such as deep learning has a large number of advantages in the aspect of image recognition. By means of a large amount of remote sensing image samples and deep neural network models, we can rapidly decipher the objects of interest such as buildings, etc. Whether in terms of efficiency or accuracy, deep learning method is more preponderant. This paper explains the research of deep learning method by a great mount of remote sensing image samples and verifies the feasibility of building extraction via experiments.
Little, Jeri Lynn
Although generally used for assessment, tests can also serve as tools for learning--but different test formats may not be equally beneficial. Specifically, research has shown multiple-choice tests to be less effective than cued-recall tests in improving the later retention of the tested information (e.g., see meta-analysis by Hamaker, 1986),…
Li, Yan; Tax, David M. J.; Duin, Robert P. W.
In multiple-instance learning (MIL), an object is represented as a bag consisting of a set of feature vectors called instances. In the training set, the labels of bags are given, while the uncertainty comes from the unknown labels of instances in the bags. In this paper, we study MIL with the ass...
Full Text Available The purpose of this study was to analyse adjustment problems in a group of adolescents with a Specific Learning Disorder (SLD, examining to what extent they depend on the severity level of the learning disorder and/or on the individual‟s level of emotional intelligence. Adjustment problems,, perceived severity levels of SLD, and emotional and meta-emotional intelligence were examined in 34 adolescents with SLD. Results demonstrated that emotional beliefs, emotional self-concept and emotional intelligence are very important factors in the psychological adjustment of adolescents with SLD. These results provide evidence for the importance of considering meta-emotional intelligence in both diagnostic and intervention protocols, as well as in the inclusive education of students with SLD.
Javaid, Q.; Arif, F.
The rapid advancement in ICT (Information and Communication Technology) is causing a paradigm shift in eLearning domain. Traditional eLearning systems suffer from certain shortcomings like tight coupling of system components, lack of personalization, flexibility, and scalability and performance issues. This study aims at addressing these challenges through an MAS (Multi Agent System) based multi-layer architecture supported by web services. The foremost objective of this study is to enhance learning process efficiency by provision of flexibility features for learning and assessment processes. Proposed architecture consists of two sub-system namely eLearning and eAssesssment. This architecture comprises of five distinct layers for each sub-system, with active agents responsible for miscellaneous tasks including content handling, updating, resource optimization, load handling and provision of customized environments for learners and instructors. Our proposed architecture aims at establishment of a facilitation level to learners as well as instructors for convenient acquisition and dissemination of knowledge. Personalization features like customized environments, personalized content retrieval and recommendations, adaptive assessment and reduced response time, are believed to significantly enhance learning and tutoring experience. In essence characteristics like intelligence, personalization, interactivity, usability, laidback accessibility and security, signify aptness of proposed architecture for improving conventional learning and assessment processes. Finally we have evaluated our proposed architecture by means of analytical comparison and survey considering certain quality attributes. (author)
Full Text Available The paper presents the three time warning distances for solving the large scale system of multiple groups of vehicles safety driving characteristics towards highway tunnel environment based on distributed model prediction control approach. Generally speaking, the system includes two parts. First, multiple vehicles are divided into multiple groups. Meanwhile, the distributed model predictive control approach is proposed to calculate the information framework of each group. Each group of optimization performance considers the local optimization and the neighboring subgroup of optimization characteristics, which could ensure the global optimization performance. Second, the three time warning distances are studied based on the basic principles used for highway intelligent space (HIS and the information framework concept is proposed according to the multiple groups of vehicles. The math model is built to avoid the chain avoidance of vehicles. The results demonstrate that the proposed highway intelligent space method could effectively ensure driving safety of multiple groups of vehicles under the environment of fog, rain, or snow.
Rully Charitas Indra Prahmana
Full Text Available Several previous researches showed that students had difficulty inunderstanding the basic concept of multiplication. Students are morelikely to be introduced by using formula without involving the conceptitself. This underlies the researcher to design a learning trajectory oflearning multiplication using Permainan Tradisional Tepuk Bergambar(PT2B as a context based on the student experience. The purpose ofthis research is to look at the role of PT2B in helping students'understanding in learning multiplication, which evolved from theinformal to formal level in third grade with Pendidikan MatematikaRealistik Indonesia (PMRI approach. The method used is designresearch starting from preliminary design, teaching experiments, andretrospective analysis. This research describes how PT2B make a realcontribution to the third grade students of SDN 179 Palembang tounderstand the concept of multiplication. The results showed PT2Bcontext can stimulate students to understand their knowledge of themultiplication concept. The whole strategy and model that studentsdiscover, describe, and discuss shows how the students construction orcontribution can uses to help their initial understanding of that concept.The stages in the learning trajectory of student have an important rolein understanding the concept of the operation number from informal tothe formal level.Keyword: Design Research, PMRI, Multiplication, Permainan TradisionalTepuk Bergambar DOI: http://dx.doi.org/10.22342/jme.3.2.1931.115-132
Full Text Available Learning visual concepts from images is an important yet challenging problem in computer vision and multimedia research areas. Multiple kernel learning (MKL methods have shown great advantages in visual concept learning. As a visual concept often exhibits great appearance variance, a canonical MKL approach may not generate satisfactory results when a uniform kernel combination is applied over the input space. In this paper, we propose a per-sample multiple kernel learning (PS-MKL approach to take into account intraclass diversity for improving discrimination. PS-MKL determines sample-wise kernel weights according to kernel functions and training samples. Kernel weights as well as kernel-based classifiers are jointly learned. For efficient learning, PS-MKL employs a sample selection strategy. Extensive experiments are carried out over three benchmarking datasets of different characteristics including Caltech101, WikipediaMM, and Pascal VOC'07. PS-MKL has achieved encouraging performance, comparable to the state of the art, which has outperformed a canonical MKL.
Full Text Available Abstract Learning visual concepts from images is an important yet challenging problem in computer vision and multimedia research areas. Multiple kernel learning (MKL methods have shown great advantages in visual concept learning. As a visual concept often exhibits great appearance variance, a canonical MKL approach may not generate satisfactory results when a uniform kernel combination is applied over the input space. In this paper, we propose a per-sample multiple kernel learning (PS-MKL approach to take into account intraclass diversity for improving discrimination. PS-MKL determines sample-wise kernel weights according to kernel functions and training samples. Kernel weights as well as kernel-based classifiers are jointly learned. For efficient learning, PS-MKL employs a sample selection strategy. Extensive experiments are carried out over three benchmarking datasets of different characteristics including Caltech101, WikipediaMM, and Pascal VOC'07. PS-MKL has achieved encouraging performance, comparable to the state of the art, which has outperformed a canonical MKL.
Jacobs, Ingo; Wollny, Anna; Sim, Chu-Won; Horsch, Antje
In the present study, we tested a serial mindfulness facets-trait emotional intelligence (TEI)-emotional distress-multiple health behaviors mediation model in a sample of N = 427 German-speaking occupational therapists. The mindfulness facets-TEI-emotional distress section of the mediation model revealed partial mediation for the mindfulness facets Act with awareness (Act/Aware) and Accept without judgment (Accept); inconsistent mediation was found for the Describe facet. The serial two-mediator model included three mediational pathways that may link each of the four mindfulness facets with multiple health behaviors. Eight out of 12 indirect effects reached significance and fully mediated the links between Act/Aware and Describe to multiple health behaviors; partial mediation was found for Accept. The mindfulness facet Observe was most relevant for multiple health behaviors, but its relation was not amenable to mediation. Implications of the findings will be discussed. © 2016 Scandinavian Psychological Associations and John Wiley & Sons Ltd.
Larsen, Lasse Juel
This paper examines play, gaming and learning in regard to intelligent playware developed for outdoor use. The key questions are how does these novel artefacts influence the concept of play, gaming and learning. Up until now play and game have been understood as different activities. This paper...... examines if the sharp differentiation between the two can be uphold in regard to intelligent playware for outdoor use. Play and game activities will be analysed and viewed in conjunction with learning contexts. This paper will stipulate that intelligent playware facilitates rapid shifts in contexts...
Ashtari, Fereshteh; Emami, Parisa; Akbari, Mojtaba
Multiple Sclerosis (MS) is a neurological disease in which demyelination and axonal loss leads to progressive disability. Cognition impairment is among the most common complication. Studying axonal loss in the retina is a new marker for MS. The main goal of our study is to search for correlations between magnetic resonance imaging (MRI) findings and the retinal nerve fiber layer (RNFL) thickness at the macula and head of the optic nerve and Wechsler Adult Intelligence Scale-Revised (WAIS-R) Scores that assess multiple domains of intelligence, and to explore the relationship between changes in the RNFL thickness with intellectual and cognitive dysfunction. A prospective cross-sectional study was conducted at the University Hospital of Kashani, Isfahan, Iran, from September to December 2013. All patients were assessed with a full-scale intelligence quotient (IQ) on the WAIS-R. An optical coherence tomography study and brain MRI were performed in the same week for all the patients. Statistical analysis was conducted by using a bivariate correlation, by utilizing SPSS 20.0. A P value ≤ 0.05 was the threshold of statistical significance. Examination of a 100 patients showed a significant correlation between the average RNFL thickness of the macula and the verbal IQ (P value = 0.01) and full IQ (P value = 0.01). There was a significant correlation between brain atrophy and verbal IQ. The RNFL loss was correlated with verbal IQ and full IQ.
Furnham, Adrian; Arteche, Adriane; Chamorro-Premuzic, Tomas; Keser, Askin; Swami, Viren
This study is part of a programmatic research effort into the determinants of self-assessed abilities. It examined cross-cultural differences in beliefs about intelligence and self- and other-estimated intelligence in two countries at extreme ends of the European continent. In all, 172 British and 272 Turkish students completed a three-part questionnaire where they estimated their parents', partners' and own multiple intelligences (Gardner (10) and Sternberg (3)). They also completed a measure of the 'big five' personality scales and rated six questions about intelligence. The British sample had more experience with IQ tests than the Turks. The majority of participants in both groups did not believe in sex differences in intelligence but did think there were race differences. They also believed that intelligence was primarily inherited. Participants rated their social and emotional intelligence highly (around one standard deviation above the norm). Results suggested that there were more cultural than sex differences in all the ratings, with various interactions mainly due to the British sample differentiating more between the sexes than the Turks. Males rated their overall, verbal, logical, spatial, creative and practical intelligence higher than females. Turks rated their musical, body-kinesthetic, interpersonal and intrapersonal intelligence as well as existential, naturalistic, emotional, creative, and practical intelligence higher than the British. There was evidence of participants rating their fathers' intelligence on most factors higher than their mothers'. Factor analysis of the ten Gardner intelligences yield two clear factors: cognitive and social intelligence. The first factor was impacted by sex but not culture; it was the other way round for the second factor. Regressions showed that five factors predicted overall estimates: sex (male), age (older), test experience (has done tests), extraversion (strong) and openness (strong). Results are discussed in
Abbas Ali Zarei
Full Text Available The present study was an attempt to investigate the differences in the accessibility of phonological, semantic, and orthographic aspects of words in L2 vocabulary learning. For this purpose, a sample of 119 Iranian intermediate level EFL students in a private language institute in Karaj was selected. All of the participants received the same instructional treatment. At the end of the experimental period, three tests were administered based on the previously-taught words. A subset of Gardner’s’ (1983 Multiple Intelligences questionnaire was also used for data collection. A repeated measures one-way ANOVA procedure was used to analyze the obtained data. The results showed significant differences in the accessibility of phonological, semantic, and orthographic aspects of words in second language vocabulary learning. Moreover, to investigate the relationships between spatial and linguistic intelligences and the afore-mentioned aspects of lexical knowledge, a correlational analysis was used. No significant relationships were found between spatial and linguistic intelligences and the three aspects of lexical knowledge. These findings may have theoretical and pedagogical implications for researchers, teachers, and learners.
Sierra-Fitzgerald, O; Quevedo-Caicedo, J
The aim of this article is to relate two theories regarding the structure of the human mind. We suggest that the theory of multiple intelligences, a neurocognitive theory of the psychologist Howard Garnerd provides a suitable context for theoretical understanding and validation of the hypothesis of the pathology of superiority, a neuropsychological hypothesis formulated by the neuropsychologists Norman Geschwind and Albert Galaburda. Similarly, we show that, apart from being a context, the first theory enriches the second. We review the essential elements of both theories together with the arguments for them so that the reader may judge for himself. Similarly we review the factors determining intelligence; the association between neuropathology and intellectual dysfunction, general and specific, and the new directions in the understanding of human cognition. We propose to consider the first theory as a fertile ambit and broad methodological framework for investigation in neuropsychology. This simultaneously shows the relevance of including neuropsychological investigation in broader cognitive and neuropsychological theories and models.
He, Dan; Kuhn, David; Parida, Laxmi
Given a set of biallelic molecular markers, such as SNPs, with genotype values encoded numerically on a collection of plant, animal or human samples, the goal of genetic trait prediction is to predict the quantitative trait values by simultaneously modeling all marker effects. Genetic trait prediction is usually represented as linear regression models. In many cases, for the same set of samples and markers, multiple traits are observed. Some of these traits might be correlated with each other. Therefore, modeling all the multiple traits together may improve the prediction accuracy. In this work, we view the multitrait prediction problem from a machine learning angle: as either a multitask learning problem or a multiple output regression problem, depending on whether different traits share the same genotype matrix or not. We then adapted multitask learning algorithms and multiple output regression algorithms to solve the multitrait prediction problem. We proposed a few strategies to improve the least square error of the prediction from these algorithms. Our experiments show that modeling multiple traits together could improve the prediction accuracy for correlated traits. The programs we used are either public or directly from the referred authors, such as MALSAR (http://www.public.asu.edu/~jye02/Software/MALSAR/) package. The Avocado data set has not been published yet and is available upon request. firstname.lastname@example.org. © The Author 2016. Published by Oxford University Press.
Fisch, Shalom M.
It is increasingly common for an educational media project to span several media platforms (e.g., TV, Web, hands-on materials), assuming that the benefits of learning from multiple media extend beyond those gained from one medium alone. Yet research typically has investigated learning from a single medium in isolation. This paper reviews several…
Full Text Available OBJECTIVE: To evaluate the differences in fluid intelligence tests between normal children and children with learning difficulties in China. METHOD: PubMed, MD Consult, and other Chinese Journal Database were searched from their establishment to November 2012. After finding comparative studies of Raven measurements of normal children and children with learning difficulties, full Intelligent Quotation (FIQ values and the original values of the sub-measurement were extracted. The corresponding effect model was selected based on the results of heterogeneity and parallel sub-group analysis was performed. RESULTS: Twelve documents were included in the meta-analysis, and the studies were all performed in mainland of China. Among these, two studies were performed at child health clinics, the other ten sites were schools and control children were schoolmates or classmates. FIQ was evaluated using a random effects model. WMD was -13.18 (95% CI: -16.50- -9.85. Children with learning difficulties showed significantly lower FIQ scores than controls (P<0.00001; Type of learning difficulty and gender differences were evaluated using a fixed-effects model (I² = 0%. The sites and purposes of the studies evaluated here were taken into account, but the reasons of heterogeneity could not be eliminated; The sum IQ of all the subgroups showed considerable heterogeneity (I² = 76.5%. The sub-measurement score of document A showed moderate heterogeneity among all documents, and AB, B, and E showed considerable heterogeneity, which was used in a random effect model. Individuals with learning difficulties showed heterogeneity as well. There was a moderate delay in the first three items (-0.5 to -0.9, and a much more pronounced delay in the latter three items (-1.4 to -1.6. CONCLUSION: In the Chinese mainland, the level of fluid intelligence of children with learning difficulties was lower than that of normal children. Delayed development in sub-items of C, D
Liang, Zhizheng; Xia, Shixiong; Zhou, Yong; Zhang, Lei
Some multiple kernel learning (MKL) models are usually solved by utilizing the alternating optimization method where one alternately solves SVMs in the dual and updates kernel weights. Since the dual and primal optimization can achieve the same aim, it is valuable in exploring how to perform Lp norm MKL in the primal. In this paper, we propose an Lp norm multiple kernel learning algorithm in the primal where we resort to the alternating optimization method: one cycle for solving SVMs in the primal by using the preconditioned conjugate gradient method and other cycle for learning the kernel weights. It is interesting to note that the kernel weights in our method can obtain analytical solutions. Most importantly, the proposed method is well suited for the manifold regularization framework in the primal since solving LapSVMs in the primal is much more effective than solving LapSVMs in the dual. In addition, we also carry out theoretical analysis for multiple kernel learning in the primal in terms of the empirical Rademacher complexity. It is found that optimizing the empirical Rademacher complexity may obtain a type of kernel weights. The experiments on some datasets are carried out to demonstrate the feasibility and effectiveness of the proposed method. Copyright © 2013 Elsevier Ltd. All rights reserved.
Delgado, Mauricio R; Dickerson, Kathryn C
The application of a neuroeconomic approach to the study of reward-related processes has provided significant insights in our understanding of human learning and decision making. Much of this research has focused primarily on the contributions of the corticostriatal circuitry, involved in trial-and-error reward learning. As a result, less consideration has been allotted to the potential influence of different neural mechanisms such as the hippocampus or to more common ways in human society in which information is acquired and utilized to reach a decision, such as through explicit instruction rather than trial-and-error learning. This review examines the individual contributions of multiple learning and memory neural systems and their interactions during human decision making in both normal and neuropsychiatric populations. Specifically, the anatomical and functional connectivity across multiple memory systems are highlighted to suggest that probing the role of the hippocampus and its interactions with the corticostriatal circuitry via the application of model-based neuroeconomic approaches may provide novel insights into neuropsychiatric populations that suffer from damage to one of these structures and as a consequence have deficits in learning, memory, or decision making. Copyright © 2012 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
Full Text Available The emergence of new horizons in the field of travel assistant management leads to the development of cutting-edge systems focused on improving the existing ones. Moreover, new opportunities are being also presented since systems trend to be more reliable and autonomous. In this paper, a self-learning embedded system for object identification based on adaptive-cooperative dynamic approaches is presented for intelligent sensor’s infrastructures. The proposed system is able to detect and identify moving objects using a dynamic decision tree. Consequently, it combines machine learning algorithms and cooperative strategies in order to make the system more adaptive to changing environments. Therefore, the proposed system may be very useful for many applications like shadow tolls since several types of vehicles may be distinguished, parking optimization systems, improved traffic conditions systems, etc.
Villaverde, Monica; Perez, David; Moreno, Felix
The emergence of new horizons in the field of travel assistant management leads to the development of cutting-edge systems focused on improving the existing ones. Moreover, new opportunities are being also presented since systems trend to be more reliable and autonomous. In this paper, a self-learning embedded system for object identification based on adaptive-cooperative dynamic approaches is presented for intelligent sensor's infrastructures. The proposed system is able to detect and identify moving objects using a dynamic decision tree. Consequently, it combines machine learning algorithms and cooperative strategies in order to make the system more adaptive to changing environments. Therefore, the proposed system may be very useful for many applications like shadow tolls since several types of vehicles may be distinguished, parking optimization systems, improved traffic conditions systems, etc.
Shariati, Azadeh; Meghdari, Ali; Shariati, Parham
In this research an intelligent emotional learning controller, Takagi- Sugeno- Kang (TSK) is applied to govern the dynamics of a novel Ionic-Polymer Metal Composite (IPMC) actuated manipulator. Ionic-Polymer Metal Composites are active actuators that show very large deformation in existence of low applied voltage. In this research, a new IPMC actuator is considered and applied to a 2-dof miniature manipulator. This manipulator is designed for miniature tasks. The control system consists of a set of neurofuzzy controller whose parameters are adapted according to the emotional learning rules, and a critic with task to assess the present situation resulted from the applied control action in terms of satisfactory achievement of the control goals and provides the emotional signal (the stress). The controller modifies its characteristics so that the critic's stress decreased.
Full Text Available Multiple-machine scheduling problems with position-based learning effects are studied in this paper. There is an initial schedule in this scheduling problem. The optimal schedule minimizes the sum of the weighted completion times; the difference between the initial total weighted completion time and the minimal total weighted completion time is the cost savings. A multiple-machine sequencing game is introduced to allocate the cost savings. The game is balanced if the normal processing times of jobs that are on the same machine are equal and an equal number of jobs are scheduled on each machine initially.
Zhang, Jing; Song, Yanlin; Xia, Fan; Zhu, Chenjing; Zhang, Yingying; Song, Wenpeng; Xu, Jianguo; Ma, Xuelei
Frozen section is widely used for intraoperative pathological diagnosis (IOPD), which is essential for intraoperative decision making. However, frozen section suffers from some drawbacks, such as time consuming and high misdiagnosis rate. Recently, artificial intelligence (AI) with deep learning technology has shown bright future in medicine. We hypothesize that AI with deep learning technology could help IOPD, with a computer trained by a dataset of intraoperative lesion images. Evidences supporting our hypothesis included the successful use of AI with deep learning technology in diagnosing skin cancer, and the developed method of deep-learning algorithm. Large size of the training dataset is critical to increase the diagnostic accuracy. The performance of the trained machine could be tested by new images before clinical use. Real-time diagnosis, easy to use and potential high accuracy were the advantages of AI for IOPD. In sum, AI with deep learning technology is a promising method to help rapid and accurate IOPD. Copyright © 2017 Elsevier Ltd. All rights reserved.
Liu, Hui; Li, Yingzi; Zhang, Yingxu; Chen, Yifu; Song, Zihang; Wang, Zhenyu; Zhang, Suoxin; Qian, Jianqiang
Proportional-integral-derivative (PID) parameters play a vital role in the imaging process of an atomic force microscope (AFM). Traditional parameter tuning methods require a lot of manpower and it is difficult to set PID parameters in unattended working environments. In this manuscript, an intelligent tuning method of PID parameters based on iterative learning control is proposed to self-adjust PID parameters of the AFM according to the sample topography. This method gets enough information about the output signals of PID controller and tracking error, which will be used to calculate the proper PID parameters, by repeated line scanning until convergence before normal scanning to learn the topography. Subsequently, the appropriate PID parameters are obtained by fitting method and then applied to the normal scanning process. The feasibility of the method is demonstrated by the convergence analysis. Simulations and experimental results indicate that the proposed method can intelligently tune PID parameters of the AFM for imaging different topographies and thus achieve good tracking performance. Copyright © 2017 Elsevier Ltd. All rights reserved.
Liang, J.; Du, R.
This paper presents the design of an intelligent comfort control system by combining the human learning and minimum power control strategies for the heating, ventilating and air conditioning (HVAC) system. In the system, the predicted mean vote (PMV) is adopted as the control objective to improve indoor comfort level by considering six comfort related variables, whilst a direct neural network controller is designed to overcome the nonlinear feature of the PMV calculation for better performance. To achieve the highest comfort level for the specific user, a human learning strategy is designed to tune the user's comfort zone, and then, a VAV and minimum power control strategy is proposed to minimize the energy consumption further. In order to validate the system design, a series of computer simulations are performed based on a derived HVAC and thermal space model. The simulation results confirm the design of the intelligent comfort control system. In comparison to the conventional temperature controller, this system can provide a higher comfort level and better system performance, so it has great potential for HVAC applications in the future
In systems engineering, design and operation of systems are two main problems which always attract researcher's attentions. The accomplishment of activities in these problems often requires proper decisions to be made so that the desired goal can be achieved, thus, decision making needs to be carefully fulfilled in the design and operation of systems. Design is a decision making process which permeates through out the design process, and is at the core of all design activities. In modern aircraft design, more and more attention is paid to the conceptual and preliminary design phases so as to increase the odds of choosing a design that will ultimately be successful at the completion of the design process, therefore, decisions made during these early design stages play a critical role in determining the success of a design. Since aerospace systems are complex systems with interacting disciplines and technologies, the Decision Makers (DMs) dealing with such design problems are involved in balancing the multiple, potentially conflicting attributes/criteria, transforming a large amount of customer supplied guidelines into a solidly defined set of requirement definitions. Thus, one could state with confidence that modern aerospace system design is a Multiple Criteria Decision Making (MCDM) process. A variety of existing decision making methods are available to deal with this type of decision problems. The selection of the most appropriate decision making method is of particular importance since inappropriate decision methods are likely causes of misleading engineering design decisions. With no sufficient knowledge about each of the methods, it is usually difficult for the DMs to find an appropriate analytical model capable of solving their problems. In addition, with the complexity of the decision problem and the demand for more capable methods increasing, new decision making methods are emerging with time. These various methods exacerbate the difficulty of the selection
Rey-Lopez, Marta; Brusilovsky, Peter; Meccawy, Maram; Diaz-Redondo, Rebeca; Fernandez-Vilas, Ana; Ashman, Helen
Current e-learning standardization initiatives have put much effort into easing interoperability between systems and the reusability of contents. For this to be possible, one of the most relevant areas is the definition of a run-time environment, which allows Learning Management Systems to launch, track and communicate with learning objects.…
Veermans, K.H.; de Jong, Anthonius J.M.; van Joolingen, Wouter
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
Full Text Available Lack of critical thinking skills of elementary schools’ students was influenced by teachers’ domination in instructional activities; meanwhile students did not play independently as the learners. Theoretically, multiple intelligences based instruction is an appropriate solution. For that reason, this research aims to know the impact of multiple intelligences based instruction on students' critical thinking skills. The research was conducted at Al-Amanah and Buahati Islamic Elementary Schools by using a quantitative approach with case study method. Data collected through critical thinking tests was analyzed by using independent sample t-test to examine the impact of instruction on students' critical thinking skills. The results showed that the implementation of multiple intelligences based intruction had significant effect on students’ critical thinking skills. From the finding, some recommendations are given as follows: 1 The teacher’s role is not only for transferring knowledge based on his/her competencies but also students’ characteristics reflecting their instruction styles; and 2 for further researcher, it is suggested to investigate this issues more specifically and comprehensively. Kurangnya keterampilan berpikir kritis dari siswa sekolah dasar dipengaruhi oleh dominasi guru dalam kegiatan pembelajaran; Sementara itu siswa tidak bermain secara independen sebagai peserta didik. Secara teoritis, pendekatan berbasis kecerdasan ganda merupakan solusi yang tepat. Untuk itu, penelitian ini bertujuan untuk mengetahui dampak pendekatan berbasis kecerdasan ganda pada keterampilan berpikir kritis siswa. Penelitian ini dilakukan di Sekolah Dasar Islam Al-Amanah dan Buahati dengan menggunakan pendekatan kuantitatif dengan metode studi kasus. Data dikumpulkan melalui tes berpikir kritis dianalisis dengan menggunakan sampel independent t-test untuk menguji dampak dari pendekatan pada keterampilan berpikir kritis siswa. Hasil penelitian
Köksal Akyol, Aysel
This study was conducted to determine whether or not drama education causes any difference in the verbal-linguistic, mathematical-logical, visual-spatial, musical-rhythmic, bodily-kinaesthetic, intrapersonal and interpersonal intelligences of children. The sample group of the study consisted of 46 children (23 children in the experimental group…
Full Text Available This study is grounded in the cognitive sciences and represents a comprehensive inquiry into children's environmental knowledge. It started with an investigation of a specific situation: studying an urban population – stigmatized by a history of local environmental destruction, unconsciously wrought upon an area that is nowadays acknowledged as a natural biodiversity hotspot, the Brazilian Atlantic Rainforest. Based on the Multiple Intelligence Theory (MIT, that describes the presence of several intelligences in human beings, including a naturalist intelligence, this study aimed at improving the understanding of abilities related to environmental knowledge and the differentiation of such abilities from other ways of knowing usually valued in mainstream education. Forty-five (45 students of a primary school located in south Bahia, Brazil, their teachers, and their parents participated in this investigation between 2002 to 2004. Results suggest that the cognitive domains which are subjacent to environmental knowledge are place specific and need to be stimulated in primary schools by formulating more attractive, efficient, and innovative environmental educational methodologies.