Diagnostic, predictive and compositional modeling with data mining in integrated learning environments
Models represent a set of generic patterns to test hypotheses. This paper presents the CogMoLab student model in the context of an integrated learning environment. Three aspects are discussed: diagnostic and predictive modeling with respect to the issues of credit assignment and scalability and comp...
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| Format: | Article |
| Language: | English |
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PERGAMON-ELSEVIER SCIENCE LTD
2007
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| Online Access: | http://shdl.mmu.edu.my/2985/ http://shdl.mmu.edu.my/2985/1/1015.pdf |
| _version_ | 1848790202509688832 |
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| author | LEE, C |
| author_facet | LEE, C |
| author_sort | LEE, C |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | Models represent a set of generic patterns to test hypotheses. This paper presents the CogMoLab student model in the context of an integrated learning environment. Three aspects are discussed: diagnostic and predictive modeling with respect to the issues of credit assignment and scalability and compositional modeling of the student profile in the context of an intelligent tutoring system/adaptive hypermedia learning system architectural pattern. The SOM-PCA, a collaborative-based data mining approach, is shown to be reusable for all three purposes above, enabling fast, objective implementations without requiring much intensive data collection. (C) 2005 Elsevier Ltd. All rights reserved. |
| first_indexed | 2025-11-14T18:08:52Z |
| format | Article |
| id | mmu-2985 |
| institution | Multimedia University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:08:52Z |
| publishDate | 2007 |
| publisher | PERGAMON-ELSEVIER SCIENCE LTD |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-29852014-02-13T09:07:30Z http://shdl.mmu.edu.my/2985/ Diagnostic, predictive and compositional modeling with data mining in integrated learning environments LEE, C T Technology (General) QA75.5-76.95 Electronic computers. Computer science Models represent a set of generic patterns to test hypotheses. This paper presents the CogMoLab student model in the context of an integrated learning environment. Three aspects are discussed: diagnostic and predictive modeling with respect to the issues of credit assignment and scalability and compositional modeling of the student profile in the context of an intelligent tutoring system/adaptive hypermedia learning system architectural pattern. The SOM-PCA, a collaborative-based data mining approach, is shown to be reusable for all three purposes above, enabling fast, objective implementations without requiring much intensive data collection. (C) 2005 Elsevier Ltd. All rights reserved. PERGAMON-ELSEVIER SCIENCE LTD 2007-11 Article NonPeerReviewed text en http://shdl.mmu.edu.my/2985/1/1015.pdf LEE, C (2007) Diagnostic, predictive and compositional modeling with data mining in integrated learning environments. Computers & Education, 49 (3). 562-580 . ISSN 03601315 http://dx.doi.org/10.1016/j.compedu.2005.10.010 doi:10.1016/j.compedu.2005.10.010 doi:10.1016/j.compedu.2005.10.010 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science LEE, C Diagnostic, predictive and compositional modeling with data mining in integrated learning environments |
| title | Diagnostic, predictive and compositional modeling with data mining in integrated learning environments |
| title_full | Diagnostic, predictive and compositional modeling with data mining in integrated learning environments |
| title_fullStr | Diagnostic, predictive and compositional modeling with data mining in integrated learning environments |
| title_full_unstemmed | Diagnostic, predictive and compositional modeling with data mining in integrated learning environments |
| title_short | Diagnostic, predictive and compositional modeling with data mining in integrated learning environments |
| title_sort | diagnostic, predictive and compositional modeling with data mining in integrated learning environments |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2985/ http://shdl.mmu.edu.my/2985/ http://shdl.mmu.edu.my/2985/ http://shdl.mmu.edu.my/2985/1/1015.pdf |