Gutierrez-Santos, Sergio and Mavrikis, M. and Magoulas, George D. (2010) Sequence detection for adaptive feedback generation in an exploratory environment for mathematical generalisation. In: Dicheva, D. and Dochev, D. (eds.) Artificial Intelligence: Methodology, Systems, and Applications. Lecture Notes in Computer Science 6304. Berlin, Germany: Springer Verlag, pp. 181-190. ISBN 9783642154300.
Abstract
Detecting and automating repetitive patterns in users’ actions has several applications. One of them, often overlooked, is supporting learning. This paper presents an approach for detecting repetitive actions in students who are interacting with an exploratory environment for mathematical generalisation. The approach is based on the use of two sliding windows to detect possible regularities, which are filtered at the last stage using task knowledge. The result of this process is used to generate adaptive feedback to students based on their own actions.
Metadata
| Item Type: | Book Section |
|---|---|
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Research Centres and Institutes: | Birkbeck Knowledge Lab |
| Depositing User: | Sarah Hall |
| Date Deposited: | 17 May 2013 08:16 |
| Last Modified: | 09 Aug 2023 12:33 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/6826 |
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