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Abdessamad Chanaa; Nour-eddine El Faddouli – Smart Learning Environments, 2024
The recommendation is an active area of scientific research; it is also a challenging and fundamental problem in online education. However, classical recommender systems usually suffer from item cold-start issues. Besides, unlike other fields like e-commerce or entertainment, e-learning recommendations must ensure that learners have the adequate…
Descriptors: Artificial Intelligence, Prerequisites, Metadata, Electronic Learning
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Amane, Meryem; Aissaoui, Karima; Berrada, Mohammed – International Journal of Information and Learning Technology, 2023
Purpose: Together, learning objects (LOs) and e-pedagogical practices have the potential to improve the performance of e-learning systems in several ways. They can make e-learning more personalised and adaptable, providing students with a more engaging and effective learning experience. Design/methodology/approach: The development of LOs and…
Descriptors: Electronic Learning, Resource Units, Metadata, Algorithms
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Deniz Kaya; Tamer Kutluca – Turkish Online Journal of Distance Education, 2024
This study aims to create a comprehensive bibliometric map of published scientific articles on e-learning in mathematics education (ME). We used Web of Science (WoS) database to analyzed 341 articles published by 1018 authors representing 79 countries between 2012 and 2022. In this context, we examined scientific articles in terms of scientific…
Descriptors: Electronic Learning, Mathematics Education, Bibliometrics, Content Analysis
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Gray, Colin M. – TechTrends: Linking Research and Practice to Improve Learning, 2022
Studio pedagogy has been used as a comprehensive approach to prepare students to practice within their chosen discipline of design. However, little is known about how students experience these learning environments, including the interplay of social and educational experiences that support the development of expertise and identity. To explore and…
Descriptors: Ethnography, Studio Art, Educational Environment, Physical Environment
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Krenare Pireva Nuci – Educational Process: International Journal, 2025
Background/purpose: With advancements in technology, particularly in Artificial Intelligence (AI), personalized and adaptive systems are increasingly being integrated into conventional educational environments. These technologies create opportunities to place learners at the center of the educational experience through personalized learning.…
Descriptors: Technology Uses in Education, Artificial Intelligence, Educational Technology, Electronic Learning
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Castleberry, Colin; Hanner, Ainsley; Burks, Gabriel; Amos, Jennifer – European Journal of Engineering Education, 2023
As classroom diversity increases across educational domains, additional stress is placed on instructors to provide effective and personalised learning experiences. Formative assessments can inform instructors of learning differences between student cohorts and individual students, allowing adaptation of learning experiences to individual student…
Descriptors: Teacher Attitudes, Formative Evaluation, Computer Assisted Testing, Evaluation Methods