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ERIC Number: EJ880071
Record Type: Journal
Publication Date: 2010
Pages: 12
Abstractor: As Provided
Reference Count: 23
ISSN: ISSN-1436-4522
Exploiting Sequential Patterns Found in Users' Solutions and Virtual Tutor Behavior to Improve Assistance in ITS
Fournier-Viger, Philippe; Faghihi, Usef; Nkambou, Roger; Nguifo, Engelbert Mephu
Educational Technology & Society, v13 n1 p13-24 2010
We propose to mine temporal patterns in Intelligent Tutoring Systems (ITSs) to uncover useful knowledge that can enhance their ability to provide assistance. To discover patterns, we suggest using a custom, sequential pattern-mining algorithm. Two ways of applying the algorithm to enhance an ITS's capabilities are addressed. The first is to extract patterns from user solutions to problem-solving exercises for automatically learning a task model that can then be used to provide assistance. The second way is to extract temporal patterns from a tutoring agent's own behavior when interacting with learner(s). In this case, the tutoring agent reuses patterns that brought states of "self-satisfaction." Real applications are presented to illustrate the two proposals. (Contains 2 tables and 6 figures.)
International Forum of Educational Technology & Society. Athabasca University, School of Computing & Information Systems, 1 University Drive, Athabasca, AB T9S 3A3, Canada. Tel: 780-675-6812; Fax: 780-675-6973; Web site:
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A