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Advances in Personalized Web-Based Education: Intelligent Systems Reference Library, cartea 78

Autor Konstantina Chrysafiadi, Maria Virvou
en Limba Engleză Paperback – 22 sep 2016
This book aims to provide important information about adaptivity in computer-based and/or web-based educational systems. In order to make the student modeling process clear, a literature review concerning student modeling techniques and approaches during the past decade is presented in a special chapter. A novel student modeling approach including fuzzy logic techniques is presented. Fuzzy logic is used to automatically model the learning or forgetting process of a student. The presented novel student model is responsible for tracking cognitive state transitions of learners with respect to their progress or non-progress. It maximizes the effectiveness of learning and contributes, significantly, to the adaptation of the learning process to the learning pace of each individual learner. Therefore the book provides important information to researchers, educators and software developers of computer-based educational software ranging from e-learning and mobile learning systems to educational games including stand alone educational applications and intelligent tutoring systems.
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Specificații

ISBN-13: 9783319360485
ISBN-10: 3319360485
Pagini: 176
Ilustrații: XVII, 156 p. 58 illus.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.28 kg
Ediția:Softcover reprint of the original 1st edition 2015
Editura: Springer
Colecția Intelligent Systems Reference Library
Seria Intelligent Systems Reference Library

Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Student Modeling for Personalized Education: A Review of the Literature.- Student Modeling for Personalized Education: A Review of the Literature.- A Novel Hybrid Student Model for Personalized Education.- Evaluation.- Conclusions.

Textul de pe ultima copertă

This book aims to provide important information about adaptivity in computer-based and/or web-based educational systems. In order to make the student modeling process clear, a literature review concerning student modeling techniques and approaches during the past decade is presented in a special chapter. A novel student modeling approach including fuzzy logic techniques is presented. Fuzzy logic is used to automatically model the learning or forgetting process of a student. The presented novel student model is responsible for tracking cognitive state transitions of learners with respect to their progress or non-progress. It maximizes the effectiveness of learning and contributes, significantly, to the adaptation of the learning process to the learning pace of each individual learner. Therefore the book provides important information to researchers, educators and software developers of computer-based educational software ranging from e-learning and mobile learning systems to educational games including stand alone educational applications and intelligent tutoring systems.

Caracteristici

Presents recent research in Personalized Web-Based Education Focus on intelligent tutoring systems and fuzzy logic Useful for researchers and developers in web-based educational systems, as well as graduate students in related areas Includes supplementary material: sn.pub/extras