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Advances in personalized web-based e...

Chrysafiadi, Konstantina.

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Advances in personalized web-based education

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in personalized web-based education/ by Konstantina Chrysafiadi, Maria Virvou.
Author:	Chrysafiadi, Konstantina.
other author:	Virvou, Maria.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xvii, 156 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Web-based instruction. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-12895-5
ISBN:	9783319128955 (electronic bk.)

Advances in personalized web-based education
Chrysafiadi, Konstantina.

Advances in personalized web-based education[electronic resource] /by Konstantina Chrysafiadi, Maria Virvou. - Cham :Springer International Publishing :2015. - xvii, 156 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.781868-4394 ;. - Intelligent systems reference library ;v.24..

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.

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.

ISBN: 9783319128955 (electronic bk.)

Standard No.: 10.1007/978-3-319-12895-5doiSubjects--Topical Terms:

576319
Web-based instruction.

LC Class. No.: LB1044.87

Dewey Class. No.: 371.3344678

Advances in personalized web-based education
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020 $a 9783319128948 (paper)
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035 $a 978-3-319-12895-5
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090 $a LB1044.87 $b .C558 2015
100 1 $a Chrysafiadi, Konstantina. $3 2131924
245 1 0 $a Advances in personalized web-based education $h [electronic resource] / $c by Konstantina Chrysafiadi, Maria Virvou.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xvii, 156 p. : $b ill., digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.78
505 0 $a 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.
520 $a 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.
650 0 $a Web-based instruction. $3 576319
650 0 $a Individualized instruction. $3 525492
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Educational Technology. $3 876844
650 2 4 $a Multimedia Information Systems. $3 892521
700 1 $a Virvou, Maria. $3 907298
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Intelligent systems reference library ; $v v.24. $3 1566491
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-12895-5
950 $a Engineering (Springer-11647)