Advances in Personalized Web-Based Education
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.

1133118582
Advances in Personalized Web-Based Education
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.

109.99 In Stock
Advances in Personalized Web-Based Education

Advances in Personalized Web-Based Education

by Konstantina Chrysafiadi, Maria Virvou
Advances in Personalized Web-Based Education

Advances in Personalized Web-Based Education

by Konstantina Chrysafiadi, Maria Virvou

Hardcover(2015)

$109.99 
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Overview

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.


Product Details

ISBN-13: 9783319128948
Publisher: Springer International Publishing
Publication date: 11/29/2014
Series: Intelligent Systems Reference Library , #78
Edition description: 2015
Pages: 156
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

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.
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