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Showing 1 to 15 of 21 results Save | Export
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Elly Astuti; Elana Era Yusdita – Cogent Education, 2024
E-Learning is a means to support the digitalization of education that accommodates students' learning needs anytime and anywhere. The use of E-learning in higher education has become increasingly massive since the COVID-19 pandemic. Higher education institutions accommodate students' learning needs by utilizing self-developed LMS (Learning…
Descriptors: Foreign Countries, Higher Education, Electronic Learning, Learning Management Systems
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Erum Ashraf; Selvakumar Manickam; Khurrum Mahmood; Shams Ul Arfeen Laghari; Amber Baig – Journal of Educators Online, 2025
The recommendation of courses in an online educational system is done using different factors that include course length, duration, and learning material information. The course design is based on the instructor's teaching style, which may not necessarily correspond with the various learning preferences of students. Matching the learning style of…
Descriptors: Online Courses, Electronic Learning, Cognitive Style, Teaching Styles
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Shrestha, Sushil; Joshi, Manish; Bashyal, Aakash; Timilsina, Arun; Subedi, Sushant – Journal of Educational Technology Systems, 2023
The increase in usage of Online Learning systems has provided a challenge to deliver e-contents based on user needs. This study uses learning style data to determine the learning profile and provide the content based on the user's needs, whereas gamified elements are used to increase user engagement. The combination of these two approaches would…
Descriptors: Gamification, Cognitive Style, Electronic Learning, Learning Management Systems
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Çebi, Ayça; Araújo, Rafael D.; Brusilovsky, Peter – Journal of Research on Technology in Education, 2023
Online learning systems allow learners to freely access learning contents and record their interactions throughout their engagement with the content. By using data mining techniques on the student log data of those systems, it is possible to examine learning behavior and reveal navigation patterns through learning contents. This study was aimed at…
Descriptors: Individual Characteristics, Electronic Learning, Student Behavior, Learning Management Systems
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Thang Van Le; Ha Le Nguyen; Hung Thanh Nguyen – Journal of Education and e-Learning Research, 2023
E-learning has gained popularity as a method of delivering education recently and offers many advantages to enhance the learning experience for students. Technology allows teachers to design more interactive and engaging lessons that cater to different learning styles. It can also provide opportunities for teachers to incorporate virtual…
Descriptors: Foreign Countries, High School Teachers, Teacher Attitudes, Teaching Methods
Ellen E. Alexandre – ProQuest LLC, 2021
Background: Distance education is a growing sector in higher education but continues to lag in medical imaging education. Educators continue to utilize the traditional teaching method stating technology as the major challenge to adding distance education to their curriculum. Lack of faculty development and information technology support are the…
Descriptors: Best Practices, Distance Education, Medical Education, Radiology
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Yang An; Yushi Duan; Yuchen Zhang – International Journal of Information and Communication Technology Education, 2024
Higher education informatization (HEI) is an interdisciplinary field that examines the use and integration of information and communication technologies (ICTs) in higher education. This paper provides a bibliometric and visual analysis of the research trends, patterns, and topics in this field. Using the Web of Science database, the authors…
Descriptors: Bibliometrics, Educational Research, Higher Education, Information Technology
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Firmansah, Muhammad Lukman Haris – International Journal of Curriculum and Instruction, 2022
Learning in the COVID-19 pandemic era tends to apply online learning both Synchronous and Asynchronous. Method of asynchronous learning such as using Edmodo, students meet with educators in online classes, where they discuss and do assignments and meet educators indirectly. Learning according to the IQF curriculum in tertiary institutions is…
Descriptors: Curriculum Development, Design, Electronic Learning, Animation
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Magdin, Martin; Turcáni, Milan – Turkish Online Journal of Educational Technology - TOJET, 2015
Individualization of learning through ICT [Information and Communication Technology] allows to students not only the possibility choose the time and place to study, but especially pace adoption of new knowledge on the basis of preferred learning styles. Analysis of learning processes should give the answer to difficult questions from pedagogical…
Descriptors: Management Systems, Information Technology, Electronic Learning, Cognitive Style
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Olsson, Marie; Mozelius, Peter; Collin, Jonas – Electronic Journal of e-Learning, 2015
Courses in virtual learning environments can leave recently enrolled participants in a state of loneliness, confusion and boredom. What course content is essential in the course, where can more information be found and which assignments are mandatory? Research has stated that learner control and motivation are crucial issues for successful online…
Descriptors: Questionnaires, Visualization, Electronic Learning, Programming
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Graf, S.; Liu, T.-C.; Kinshuk, – Journal of Computer Assisted Learning, 2010
Providing adaptive features and personalized support by considering students' learning styles in computer-assisted learning systems has high potential in making learning easier for students in terms of reducing their efforts or increasing their performance. In this study, the navigational behaviour of students in an online course within a learning…
Descriptors: Cognitive Style, Management Systems, Online Courses, Computer Assisted Instruction
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Peter, Sophie E.; Bacon, Elizabeth; Dastbaz, Mohammad – Campus-Wide Information Systems, 2010
Purpose: The purpose of this paper is to discuss how learning styles and theories are currently used within personalised adaptable e-learning adaptive systems. This paper then aims to describe the e-learning platform iLearn and how this platform is designed to incorporate learning styles as part of the personalisation offered by the system.…
Descriptors: Electronic Learning, Cognitive Style, Instructional Design, Management Systems
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Eom, Sean B. – Journal of International Education in Business, 2012
Purpose: The majority of e-learning empirical research studies have focused on the two research streams: outcome comparison studies with classroom-based learning and studies examining potential predictors of e-learning success. The determinants of e-learning success include interactions, instructor support and mentoring, information delivery…
Descriptors: Business Education, Self Efficacy, Electronic Learning, Course Content
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Di Bitonto, Pierpaolo – International Journal of Distance Education Technologies, 2010
The success of communities generally implies both growth of the participants (and thus of their contributions), and an increasing array of services offered. For this reason, it is often difficult for new users to fully understand the potential of the community, while for expert users it becomes difficult both to manage the resources available in…
Descriptors: Individualized Instruction, Knowledge Management, Cognitive Style, Computer Assisted Instruction
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Fazlollahtabar, Hamed; Mahdavi, Iraj – Educational Research Review, 2009
Internet evolution has affected all industrial, commercial, and especially learning activities in the new context of e-learning. Due to cost, time, or flexibility e-learning has been adopted by participators as an alternative training method. By development of computer-based devices and new methods of teaching, e-learning has emerged. The…
Descriptors: Cognitive Style, Management Systems, Distance Education, Training Methods
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