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Showing 1 to 15 of 18 results Save | Export
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Hani Y. Ayyoub; Omar S. Al-Kadi – IEEE Transactions on Learning Technologies, 2024
Education is a dynamic field that must be adaptable to sudden changes and disruptions caused by events like pandemics, war, and natural disasters related to climate change. When these events occur, traditional classrooms with traditional or blended delivery can shift to fully online learning, which requires an efficient learning environment that…
Descriptors: Cognitive Style, Individualized Instruction, Learning Management Systems, Artificial Intelligence
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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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Hoa-Huy Nguyen; Kien Do Trung; Loc Nguyen Duc; Long Dang Hoang; Phong Tran Ba; Viet Anh Nguyen – Education and Information Technologies, 2024
This article presents the results of an experiment in personalizing course content and learning activity model tailored for online courses based on students' learning styles. The main research objectives are to design and pilot a model to determine students' learning styles to create personalized online courses. The study also addressed an…
Descriptors: Models, Online Courses, Cognitive Style, Classification
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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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Marioara Pascu – Cogent Education, 2024
This study explored the relationship between students' learning styles and their learning process through Kahoot in developing competencies within a target group of 89 high school students from Technical College "Dimitrie Ghika", Romania. Initially, the students' learning styles were identified using Reid's VAK model. As a second step,…
Descriptors: Cognitive Style, Learning Management Systems, Geography Instruction, Experiential Learning
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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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Benabbes, Khalid; Housni, Khalid; Hmedna, Brahim; Zellou, Ahmed; Mezouary, Ali El – Education and Information Technologies, 2023
Today, with the extension of learning management systems (LMSs) and the diversity of learners' needs for online learning, instructors have to be assisted to adapt their syllabus to meet learners' needs. Therefore, it is necessary to tailor course instruction to meet individual needs and determine how well they serve the learners using these online…
Descriptors: Learning Management Systems, Student Needs, Cognitive Style, Context Effect
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Mohammed Jebbari; Bouchaib Cherradi; Soufiane Hamida; Abdelhadi Raihani – Education and Information Technologies, 2024
With the advancements in technology and the growing demand for online education, Virtual Learning Environments (VLEs) have experienced rapid development in recent years. This demand was especially evident during the COVID-19 pandemic. The incorporation of new technologies in VLEs provides new opportunities to better understand the behaviors of…
Descriptors: MOOCs, Algorithms, Computer Simulation, COVID-19
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Nosihle Veronica Sithole – Journal of Inquiry Based Activities, 2025
This empirical study aimed to identify strategies for improving the effectiveness of hybrid learning within the Post Graduate Certificate in Education (PGCE) programme in accounting. The PGCE is offered through two modes, full-time and part-time, to accommodate the varying needs and circumstances of students. Full-time students are required to…
Descriptors: Blended Learning, Graduate Study, Business Education, Accounting
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Jingyun Wang; Adam Wynn; Takahiko Mendori; Gwo-Jen Hwang – Smart Learning Environments, 2024
This study investigates the effect of studying with topic maps provided by a self-developed language learning support system on (a) learning perception, (b) learning achievement and (c) variation in learning attitude and motivation, from the perspective of prior learning attitude, motivation and learning style. An analysis was conducted on the…
Descriptors: Foreign Countries, Learning Management Systems, Grammar, Concept Mapping
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Jaskari, Minna-Maarit; Syrjälä, Henna – Journal of Marketing Education, 2023
In this article, we examine the linkage between students' game-playing motivations and a wide variety of gamification elements within higher marketing education. Using an interpretive and convergent mixed-methods design, we discover four clusters of students that vary in terms of their game-motivational bases and views on gamification elements.…
Descriptors: Marketing, Game Based Learning, Undergraduate Students, Student Attitudes
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Aleksandra Maslennikova; Daniela Rotelli; Anna Monreale – Journal of Learning Analytics, 2023
Students organize and manage their own learning time, choosing when, what, and how to study due to the flexibility of online learning. Each person has unique learning habits that define their behaviours and distinguish them from others. To investigate the temporal behaviour of students in online learning environments, we seek to identify suitable…
Descriptors: Learning Analytics, Online Courses, Time Management, Self Management
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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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