Student modeling approaches: A literature review for the last decade
► This paper constitutes a literature review on student modeling for the last decade. ► It aims at answering three basic questions on student modeling: what to model, how, why. ► This paper can be used as a guide when designing a student model. This paper constitutes a literature review on student m...
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Veröffentlicht in: | Expert systems with applications 2013-09, Vol.40 (11), p.4715-4729 |
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description | ► This paper constitutes a literature review on student modeling for the last decade. ► It aims at answering three basic questions on student modeling: what to model, how, why. ► This paper can be used as a guide when designing a student model.
This paper constitutes a literature review on student modeling for the last decade. The review aims at answering three basic questions on student modeling: what to model, how and why. The prevailing student modeling approaches that have been used in the past 10years are described, the aspects of students’ characteristics that were taken into consideration are presented and how a student model can be used in order to provide adaptivity and personalisation in computer-based educational software is highlighted. This paper aims to provide 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. In addition, this paper can be used as a guide for making decisions about the techniques that should be adopted when designing a student model for an adaptive tutoring system. One significant conclusion is that the most preferred technique for representing the student’s mastery of knowledge is the overlay approach. Also, stereotyping seems to be ideal for modeling students’ learning styles and preferences. Furthermore, affective student modeling has had a rapid growth over the past years, while it has been noticed an increase in the adoption of fuzzy techniques and Bayesian networks in order to deal the uncertainty of student modeling. |
doi_str_mv | 10.1016/j.eswa.2013.02.007 |
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This paper constitutes a literature review on student modeling for the last decade. The review aims at answering three basic questions on student modeling: what to model, how and why. The prevailing student modeling approaches that have been used in the past 10years are described, the aspects of students’ characteristics that were taken into consideration are presented and how a student model can be used in order to provide adaptivity and personalisation in computer-based educational software is highlighted. This paper aims to provide 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. In addition, this paper can be used as a guide for making decisions about the techniques that should be adopted when designing a student model for an adaptive tutoring system. One significant conclusion is that the most preferred technique for representing the student’s mastery of knowledge is the overlay approach. Also, stereotyping seems to be ideal for modeling students’ learning styles and preferences. Furthermore, affective student modeling has had a rapid growth over the past years, while it has been noticed an increase in the adoption of fuzzy techniques and Bayesian networks in order to deal the uncertainty of student modeling.</description><identifier>ISSN: 0957-4174</identifier><identifier>EISSN: 1873-6793</identifier><identifier>DOI: 10.1016/j.eswa.2013.02.007</identifier><language>eng</language><publisher>Amsterdam: Elsevier Ltd</publisher><subject>Adaptive learning ; Applied sciences ; Artificial intelligence ; Computer programs ; Computer science; control theory; systems ; Computer systems and distributed systems. User interface ; Decision theory. Utility theory ; Education ; Exact sciences and technology ; Fuzzy ; General aspects ; Intelligent tutoring systems ; Learning ; Literature reviews ; Mathematical models ; Occupational training. Personnel. Work management ; Operational research and scientific management ; Operational research. Management science ; Personalised e-learning ; Software ; Speech and sound recognition and synthesis. Linguistics ; Student modeling ; Students</subject><ispartof>Expert systems with applications, 2013-09, Vol.40 (11), p.4715-4729</ispartof><rights>2013 Elsevier Ltd</rights><rights>2014 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-39f144d83b575bb17f7351180fbe8d958e9b39147472586595c951b564d313cf3</citedby><cites>FETCH-LOGICAL-c396t-39f144d83b575bb17f7351180fbe8d958e9b39147472586595c951b564d313cf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.eswa.2013.02.007$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27286057$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Chrysafiadi, Konstantina</creatorcontrib><creatorcontrib>Virvou, Maria</creatorcontrib><title>Student modeling approaches: A literature review for the last decade</title><title>Expert systems with applications</title><description>► This paper constitutes a literature review on student modeling for the last decade. ► It aims at answering three basic questions on student modeling: what to model, how, why. ► This paper can be used as a guide when designing a student model.
This paper constitutes a literature review on student modeling for the last decade. The review aims at answering three basic questions on student modeling: what to model, how and why. The prevailing student modeling approaches that have been used in the past 10years are described, the aspects of students’ characteristics that were taken into consideration are presented and how a student model can be used in order to provide adaptivity and personalisation in computer-based educational software is highlighted. This paper aims to provide 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. In addition, this paper can be used as a guide for making decisions about the techniques that should be adopted when designing a student model for an adaptive tutoring system. One significant conclusion is that the most preferred technique for representing the student’s mastery of knowledge is the overlay approach. Also, stereotyping seems to be ideal for modeling students’ learning styles and preferences. Furthermore, affective student modeling has had a rapid growth over the past years, while it has been noticed an increase in the adoption of fuzzy techniques and Bayesian networks in order to deal the uncertainty of student modeling.</description><subject>Adaptive learning</subject><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer programs</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>Decision theory. Utility theory</subject><subject>Education</subject><subject>Exact sciences and technology</subject><subject>Fuzzy</subject><subject>General aspects</subject><subject>Intelligent tutoring systems</subject><subject>Learning</subject><subject>Literature reviews</subject><subject>Mathematical models</subject><subject>Occupational training. Personnel. Work management</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Personalised e-learning</subject><subject>Software</subject><subject>Speech and sound recognition and synthesis. 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User interface</topic><topic>Decision theory. Utility theory</topic><topic>Education</topic><topic>Exact sciences and technology</topic><topic>Fuzzy</topic><topic>General aspects</topic><topic>Intelligent tutoring systems</topic><topic>Learning</topic><topic>Literature reviews</topic><topic>Mathematical models</topic><topic>Occupational training. Personnel. Work management</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Personalised e-learning</topic><topic>Software</topic><topic>Speech and sound recognition and synthesis. Linguistics</topic><topic>Student modeling</topic><topic>Students</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chrysafiadi, Konstantina</creatorcontrib><creatorcontrib>Virvou, Maria</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Expert systems with applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chrysafiadi, Konstantina</au><au>Virvou, Maria</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Student modeling approaches: A literature review for the last decade</atitle><jtitle>Expert systems with applications</jtitle><date>2013-09-01</date><risdate>2013</risdate><volume>40</volume><issue>11</issue><spage>4715</spage><epage>4729</epage><pages>4715-4729</pages><issn>0957-4174</issn><eissn>1873-6793</eissn><abstract>► This paper constitutes a literature review on student modeling for the last decade. ► It aims at answering three basic questions on student modeling: what to model, how, why. ► This paper can be used as a guide when designing a student model.
This paper constitutes a literature review on student modeling for the last decade. The review aims at answering three basic questions on student modeling: what to model, how and why. The prevailing student modeling approaches that have been used in the past 10years are described, the aspects of students’ characteristics that were taken into consideration are presented and how a student model can be used in order to provide adaptivity and personalisation in computer-based educational software is highlighted. This paper aims to provide 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. In addition, this paper can be used as a guide for making decisions about the techniques that should be adopted when designing a student model for an adaptive tutoring system. One significant conclusion is that the most preferred technique for representing the student’s mastery of knowledge is the overlay approach. Also, stereotyping seems to be ideal for modeling students’ learning styles and preferences. Furthermore, affective student modeling has had a rapid growth over the past years, while it has been noticed an increase in the adoption of fuzzy techniques and Bayesian networks in order to deal the uncertainty of student modeling.</abstract><cop>Amsterdam</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.eswa.2013.02.007</doi><tpages>15</tpages></addata></record> |
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subjects | Adaptive learning Applied sciences Artificial intelligence Computer programs Computer science control theory systems Computer systems and distributed systems. User interface Decision theory. Utility theory Education Exact sciences and technology Fuzzy General aspects Intelligent tutoring systems Learning Literature reviews Mathematical models Occupational training. Personnel. Work management Operational research and scientific management Operational research. Management science Personalised e-learning Software Speech and sound recognition and synthesis. Linguistics Student modeling Students |
title | Student modeling approaches: A literature review for the last decade |
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