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Ghallabi, Sameh; Essalmi, Fathi; Jemni, Mohamed; Kinshuk – Smart Learning Environments, 2022
Personalized learning systems use several components in order to create courses adapted to the learners'characteristics. Current emphasis on the reduction of costs of development of new resources has motivated the reuse of the e-learning personalization components in the creation of new components. Several systems have been proposed in the…
Descriptors: Individualized Instruction, Technology Uses in Education, Electronic Learning, Mathematics
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Muhammad Yasir Mustafa; Ahmed Tlili; Georgios Lampropoulos; Ronghuai Huang; Petar Jandric; Jialu Zhao; Soheil Salha; Lin Xu; Santosh Panda; Kinshuk; Sonsoles López-Pernas; Mohammed Saqr – Smart Learning Environments, 2024
Despite the increased adoption of Artificial Intelligence in Education (AIED), several concerns are still associated with it. This has motivated researchers to conduct (systematic) reviews aiming at synthesizing the AIED findings in the literature. However, these AIED reviews are diversified in terms of focus, stakeholders, educational level and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Countries, Higher Education
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Xiaowei Huang; Chung Kwan Lo; Jiaju He; Simin Xu; Kinshuk – Smart Learning Environments, 2024
In the post-pandemic world, open educational resources (OER) have the potential to ensure educational equity by providing all students with access to learning materials and by supporting teachers' instructional practices through readily available, adaptable resources. However, the quality of OER continues to be a concern. Therefore, this study…
Descriptors: Open Educational Resources, Secondary School Mathematics, Mathematics Teachers, Secondary School Teachers