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Adaptive E-Learning systems are revolutionizing distance learning. They respond to learners' needs and provide adapted content. This book analyzes the foundations of adaptive E-Learning systems and their design. In particular, it explores the fundamental concepts associated with adaptive approaches, analyzes the data mining techniques used in these approaches and the various algorithms associated with these techniques. In addition, this book presents adaptation approaches that are the fruit of research carried out in the field of adaptive E-Learning. It highlights the data analysis carried out in these approaches, presents practical simulations and discusses the results of these simulations to justify the ability of these approaches to achieve adaptive decision-making. Through a scientific and accessible approach, this book is aimed at teachers and research students wishing to engage in research related to the field of adaptive E-Learning.
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