Artificial intelligence approaches in student modeling: half decade review (2010-2015)

Intelligent Tutoring Systems (ITSs) are special classes of E-learning systems designed using Artificial Intelligence (AI) approaches to provide adaptive and personalized tutoring based on the individuality of students. The student model is an important component of an ITS that provides the base for...

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Main Authors: Sani, Salisu Muhammad, Bichi, Abdullahi Baffa, Ayuba, Shehu
Format: Article
Language:English
Published: D-LAR Labs (Digital Library of Academic Research) 2016
Online Access:http://psasir.upm.edu.my/id/eprint/14136/
http://psasir.upm.edu.my/id/eprint/14136/1/Artificial%20intelligence%20approaches%20in%20student%20modeling%20half%20decade%20review%20%282010-2015%29.pdf
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author Sani, Salisu Muhammad
Bichi, Abdullahi Baffa
Ayuba, Shehu
author_facet Sani, Salisu Muhammad
Bichi, Abdullahi Baffa
Ayuba, Shehu
author_sort Sani, Salisu Muhammad
building UPM Institutional Repository
collection Online Access
description Intelligent Tutoring Systems (ITSs) are special classes of E-learning systems designed using Artificial Intelligence (AI) approaches to provide adaptive and personalized tutoring based on the individuality of students. The student model is an important component of an ITS that provides the base for this personalization. During the course of interaction between student and the ITS, the system observe student’s actions and other behavioral properties, create a quantitative representation of these student’s attributes called a student model.
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spelling upm-141362018-09-04T08:11:26Z http://psasir.upm.edu.my/id/eprint/14136/ Artificial intelligence approaches in student modeling: half decade review (2010-2015) Sani, Salisu Muhammad Bichi, Abdullahi Baffa Ayuba, Shehu Intelligent Tutoring Systems (ITSs) are special classes of E-learning systems designed using Artificial Intelligence (AI) approaches to provide adaptive and personalized tutoring based on the individuality of students. The student model is an important component of an ITS that provides the base for this personalization. During the course of interaction between student and the ITS, the system observe student’s actions and other behavioral properties, create a quantitative representation of these student’s attributes called a student model. D-LAR Labs (Digital Library of Academic Research) 2016 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/14136/1/Artificial%20intelligence%20approaches%20in%20student%20modeling%20half%20decade%20review%20%282010-2015%29.pdf Sani, Salisu Muhammad and Bichi, Abdullahi Baffa and Ayuba, Shehu (2016) Artificial intelligence approaches in student modeling: half decade review (2010-2015). International Journal of Computer Science and Network, 5 (5). pp. 746-754. ISSN 2277-5420 http://ijcsn.org/articles/0505/Artificial-Intelligence-Approaches-in-Student-Modeling-Half-Decade-Review-2010-2015.html
spellingShingle Sani, Salisu Muhammad
Bichi, Abdullahi Baffa
Ayuba, Shehu
Artificial intelligence approaches in student modeling: half decade review (2010-2015)
title Artificial intelligence approaches in student modeling: half decade review (2010-2015)
title_full Artificial intelligence approaches in student modeling: half decade review (2010-2015)
title_fullStr Artificial intelligence approaches in student modeling: half decade review (2010-2015)
title_full_unstemmed Artificial intelligence approaches in student modeling: half decade review (2010-2015)
title_short Artificial intelligence approaches in student modeling: half decade review (2010-2015)
title_sort artificial intelligence approaches in student modeling: half decade review (2010-2015)
url http://psasir.upm.edu.my/id/eprint/14136/
http://psasir.upm.edu.my/id/eprint/14136/
http://psasir.upm.edu.my/id/eprint/14136/1/Artificial%20intelligence%20approaches%20in%20student%20modeling%20half%20decade%20review%20%282010-2015%29.pdf