Prediction of student actions using weighted Markov models
Paper
Paper/Presentation Title | Prediction of student actions using weighted Markov models |
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Presentation Type | Paper |
Authors | Huang, Xiaodi (Author), Yong, Jianming (Author), Li, Jiuyong (Author) and Gao, Junbin (Author) |
Editors | Li, Shaozi, Pan, Wei and Yong, Jianming |
Journal or Proceedings Title | Proceedings of the IEEE International Symposium on IT in Medicine and Education (ITME 2008) |
ERA Conference ID | 50933 |
Number of Pages | 6 |
Year | 2008 |
Place of Publication | Piscataway, NJ. United States |
ISBN | 9781424436163 |
9781424425112 | |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ITME.2008.4743842 |
Web Address (URL) of Paper | http://itme.xmu.edu.cn/2008/ |
Conference/Event | IEEE International Symposium on IT in Medicine and Education (ITME 2008) |
International Symposium on Information Technology in Medicine and Education | |
Event Details | IEEE International Symposium on IT in Medicine and Education (ITME 2008) Event Date 12 to end of 14 Dec 2008 Event Location Xiamen, China |
Event Details | International Symposium on Information Technology in Medicine and Education ITME |
Abstract | The Markov model has been applied to many prediction applications including the student models of intelligent tutoring systems. In this paper, we extend this well-known model to the weighted Markov model, and then apply it to student models in order to predict student behaviors. The prediction using our models is based not only on the frequency of collective behaviors of previous users, but also on the degrees of the relations between the predicted user and others. In doing so, a novel way is presented to quantify the similarities between previous students and the current active student. These similarity scores will be used as weights in the weighted Markov model. |
Keywords | weighted Markov model; prediction; student behaviour |
ANZSRC Field of Research 2020 | 460999. Information systems not elsewhere classified |
Public Notes | © 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | University of New South Wales |
School of Information Systems | |
University of South Australia | |
Charles Sturt University |
https://research.usq.edu.au/item/9z384/prediction-of-student-actions-using-weighted-markov-models
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