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100   $a20141128d2015      u|             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aAdvances in Personalized Web-Based Education$b[electronic resource] /$fby Konstantina Chrysafiadi, Maria Virvou
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (171 p.)
225 1 $aIntelligent Systems Reference Library,$x1868-4394 ;$v78
300   $aDescription based upon print version of record.
311   $a3-319-12894-9 
320   $aIncludes bibliographical references.
327   $aIntroduction -- 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.
330   $aThis book aims to provide important information about adaptivity in computer-based and/or web-based educational systems. In order to make the student modeling process clear, a literature review concerning student modeling techniques and approaches during the past decade is presented in a special chapter. A novel student modeling approach including fuzzy logic techniques is presented. Fuzzy logic is used to automatically model the learning or forgetting process of a student. The presented novel student model is responsible for tracking cognitive state transitions of learners with respect to their progress or non-progress. It maximizes the effectiveness of learning and contributes, significantly, to the adaptation of the learning process to the learning pace of each individual learner. Therefore the book provides important information to researchers, educators and software developers of computer-based educational software ranging from e-learning and mobile learning systems to educational games including stand alone educational applications and intelligent tutoring systems.
410  0$aIntelligent Systems Reference Library,$x1868-4394 ;$v78
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aEducational technology
606   $aMultimedia information systems
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aEducational Technology$3https://scigraph.springernature.com/ontologies/product-market-codes/O21000
606   $aMultimedia Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I18059
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aEducational technology.
615  0$aMultimedia information systems.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aEducational Technology.
615 24$aMultimedia Information Systems.
676   $a006.3
676   $a006.7
676   $a371.33
676   $a620
700   $aChrysafiadi$b Konstantina$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720959
702   $aVirvou$b Maria$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910299706103321
996   $aAdvances in Personalized Web-Based Education$92505843
997   $aUNINA