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Ashraf, Erum; Manickam, Selvakumar; Karuppayah, Shankar; Malik, Sufiana Khatoon – Journal of Educators Online, 2023
As the drive to move from traditional face-to-face classroom learning to e-learning is ever in demand, the knowledge corpus exposed to students can be overwhelming because there is a need to automate certain functions of the e-learning framework. One of these functions is the course recommendation feature. Course recommendations help students save…
Descriptors: Electronic Learning, Cognitive Style, Student Behavior, Course Selection (Students)
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Yang, Tzu-Chi; Chen, Sherry Y. – Interactive Learning Environments, 2023
Individual differences exist among learners. Among various individual differences, cognitive styles can strongly predict learners' learning behavior. Therefore, cognitive styles are essential for the design of online learning. There are a variety of cognitive style dimensions and overlaps exist among these dimensions. In particular, Witkin's field…
Descriptors: Student Behavior, Educational Technology, Electronic Learning, Cognitive Style
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Assis, Luciana; Rodrigues, Ana Carolina; Vivas, Alessandro; Pitangui, Cristiano Grijó; Silva, Cristiano Maciel; Dorça, Fabiano Azevedo – International Journal of Distance Education Technologies, 2022
The automation of learning object recommendation and learning styles detection processes has attracted the interest of many researchers. Some works consider learning styles to recommend learning objects. On the other hand, other works automatically detect learning styles, analyzing the behavior of students in intelligent tutorial systems in…
Descriptors: Research Reports, Instructional Materials, Correlation, Cognitive Style
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Viriyavejakul, Chantana – International Association for Development of the Information Society, 2020
Plastic waste pollution has already affected everything on earth, especially with frighteningly high amounts of waste plastic being found recently in un-inhabited places. Responsibility of reducing plastic use and waste is more dependent on highly educated people than normal people as highly educated people are social reform leaders. This study is…
Descriptors: Pollution, Plastics, Conservation (Environment), Telecommunications
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Fatahi, Somayeh; Shabanali-Fami, Faezeh; Moradi, Hadi – Education and Information Technologies, 2018
The learning style of a learner is an important parameter in his learning process. Therefore, learning styles should be considered in the design, development, and implementation of e-learning environments to increase learners' performance. Thus, it is important to be able to automatically determine learning styles of learners in an e-learning…
Descriptors: Cognitive Style, Educational Technology, Technology Uses in Education, Student Behavior
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Lorenzo, Gonzalo; Pomares, Jorge; Lledo, Asuncion – Computers & Education, 2013
This paper presents the use of immersive virtual reality systems in the educational intervention with Asperger students. The starting points of this study are features of these students' cognitive style that requires an explicit teaching style supported by visual aids and highly structured environments. The proposed immersive virtual reality…
Descriptors: Intervention, Learning Strategies, Cognitive Style, Asperger Syndrome
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Becker, Bernd – Behavioral & Social Sciences Librarian, 2013
The migration from traditional classrooms to online learning environments is in full effect. In the midst of these changes, a new approach to learning analytics needs to be considered. Learning analytics refers to the process of collecting and studying usage data in order to make instructional decisions that will support student success. In…
Descriptors: Educational Technology, Electronic Learning, Learning Processes, Learning Activities
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Kinshuk; Liu, Tzu-Chien; Graf, Sabine – Educational Technology Research and Development, 2009
Although learning styles are considered as an important factor in education, students often have to learn in courses that do not support their learning styles. A challenge for technology facilitated learning is therefore to assist and help students to cope with courses that do not match their learning styles by training and developing their less…
Descriptors: Cognitive Style, Online Courses, Student Behavior, Learning Processes
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Garcia, Patricio; Amandi, Analia; Schiaffino, Silvia; Campo, Marcelo – Computers & Education, 2007
Students are characterized by different learning styles, focusing on different types of information and processing this information in different ways. One of the desirable characteristics of a Web-based education system is that all the students can learn despite their different learning styles. To achieve this goal we have to detect how students…
Descriptors: Student Behavior, Internet, Web Based Instruction, Artificial Intelligence
Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed. – International Association for Development of the Information Society, 2015
These proceedings contain the papers of the International Conference e-Learning 2015, which was organised by the International Association for Development of the Information and Society and is part of the Multi Conference on Computer Science and Information Systems (Las Palmas de Gran Canaria, Spain, July 21-24, 2015). The e-Learning 2015…
Descriptors: Conference Papers, Failure, Electronic Learning, Success
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Johnson, Laurence F.; Levine, Alan H. – Theory Into Practice, 2008
Our essential premise in this article is that immersive learning is not new and that, as a practical matter, it is useful to view the relatively new virtual world platforms through that lens. By doing so, the premise continues, developers of learning experiences for these spaces will have a large theoretical base upon which to draw, as well as…
Descriptors: Student Evaluation, Elementary Secondary Education, Teaching Methods, Computer Simulation
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Simonson, Michael, Ed. – Association for Educational Communications and Technology, 2013
For the thirty-sixth year, the Research and Theory Division of the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Anaheim, California. The Proceedings of AECT's Convention are published in two…
Descriptors: Educational Technology, Discussion Groups, Content Analysis, Games
ACT, Inc., 2010
This report presents the findings for private four-year colleges that participated in ACT's 2010 What Works in Student Retention survey. The report contains information pertinent to only these institutions. Appended are: (1) Data for Private Four-Year Colleges and Universities; and (2) What Works in Student Retention: Instrument. (Contains 15…
Descriptors: Private Colleges, Academic Persistence, School Holding Power, College Students
ACT, Inc., 2010
This report presents the findings for public four-year colleges and universities that participated in ACT's 2010 What Works in Student Retention survey. The report contains information pertinent to only these institutions. Appended are: (1) Data for Public Four-Year Colleges and Universities; and (2) What Works in Student Retention: Instrument.…
Descriptors: Public Colleges, Academic Persistence, School Holding Power, College Students
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers