Overview

As part of e-learning, adaptive systems are more specialized and focus on the adaptation of learning content and presentation of this content. An adaptive system focuses on how knowledge is learned and pays attention to the activities, cognitive structures, and context of the learning material. The adaptive term refers to the automatic adaptation of the system to the learner. The needs of the learner are borne by the system itself. The learner did not ask to change the parameters of the system to his own needs; it is rather the needs of the learner that will be supposed by the system. The system adapts according to this necessity. Personalization and Collaboration in Adaptive E-Learning is an essential reference book that aims to describe the specific steps in designing a scenario for a collaborative learning activity in the particular context of personalization in adaptive systems and the key decisions that need to be made by the teacher-learner. By applying theoretical and practical aspects of personalization in adaptive systems and applications within education, this collection features coverage on a broad range of topics that include adaptive teaching, personalized learning, and instructional design. This book is ideally designed for instructional designers, curriculum developers, educational software developers, IT specialists, educational administrators, professionals, professors, researchers, and students seeking current research on comparative studies and the pedagogical issues of personalized and collaborative learning.

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9781799814931

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Mouenis Tadlaoui is a PhD in Computer sciences, at the Laboratory of Informatics, Research Operational and Statistic Applied (LIROSA) at Faculty of Sciences, Abdelmalek Essaadi University. His dissertation research, focus on managing the learner model in Adaptive Hypermedia systems based on Bayesian methods and artificial intelligence. Mouenis Have a Master's degree in Instructional design Multimedia engineering, and a BSc in Web development from Abdelmalek Essaadi University in 2013 and 2011. He has produced several technical outputs, including books, papers, book chapters, technical presentations, processes, among others in the field of adaptive systems management. In research, his current interests include: E-learning, Adaptive Hypermedia Systems, Artificial Intelligence, and Bayesian Networks. Mohamed Khaldi , Abdelmalek Essaâdi University, Morocco (medkhaldi@yahoo.fr) BP 25 Martil Morocco MARTIL, 93150, MA Dr. Mohamed Khaldi is Professor of Higher Education of the Department of computer Science and management at Normal school Superior Tétouan of the University Abdelmalek Essaadi Morocco where he has been since 1987. From 2010 to 2016, he served as coordinator of the Specialized Master in Multimedia educational engineering. He was a member of advisory board of dozens of international congresses in the field of computer science. He received a B.S from Mohamed V University Morocco in 1982, and a 3rd cycle diploma from Normal school Superior Rabat Morocco in 1986. He received his PhD in Didactics, Information and Communication Technology from the Faculty of Science Ben MSik Morocco in 2001. And the Academic habilitation in 2003, from the Faculty of Science Ben MSik Morocco. Research professor in e-Learning and TICE • Member since 2008 of the LIROSA laboratory (Computer Science Laboratory, Operational Research and Applied Statistics, Abdelmalek Essaadi University, Faculty of Sciences, Tetouan, Morocco. • Member since 2017 of the S2IPU team (Sciences of Computer Science and Pedagogical Engineering University), Abdelmalek Essaadi University, Normal school Superior, Tetouan, Morocco. Research axes • Research in the field of distance learning (e-learning); • Research in the field of integration of the computer tool in the teaching of disciplines; • Research in the field of discipline didactics; • Research in the field of production of didactic aids.

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