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Mohamed Zine; Fouzi Harrou; Mohammed Terbeche; Ying Sun – Education and Information Technologies, 2025
E-learning readiness (ELR) is critical for implementing digital education strategies, particularly in developing countries where online learning faces unique challenges. This study aims to provide a concise and actionable framework for assessing and predicting ELR in Algerian universities by combining the ADKAR model with advanced machine learning…
Descriptors: Electronic Learning, Learning Readiness, Artificial Intelligence, Organizational Change
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Talbi, Omar; Ouared, Abdelkader – Education and Information Technologies, 2022
Determining student motivation within the context of Learning Analytics is fundamental for academic students to realize their educational goals. We aim to perceive the student's motivation state at a high level of abstraction and act accordingly to deal with motivation issues. We investigate how Model-Driven Engineering paradigms capture the…
Descriptors: Goal Orientation, Student Motivation, Learning Analytics, Teaching Methods
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Youssouf Abda; Zohra Mehenaoui; Yacine Lafifi; Rochdi Boudjehem – Education and Information Technologies, 2024
In this paper, we present an approach for online course evaluation based on learners' behaviors during the learning process, where the course creator can monitor the quality status of their online courses based on learners' learning outcomes and then intervene to improve the success rate. For this purpose, a set of criteria has been developed.…
Descriptors: Educational Quality, Quality Assurance, Electronic Learning, Evaluation Methods