Magoulas, George D. and Cocea, Mihaela (2008) Combining intelligent methods for learner modelling in exploratory learning environments. In: 1st International Workshop on Combinations of Intelligent Methods and Applications - in conjunction with the 18th European Conference on Artificial Intelligence, July 21-22, 2008, Patras, Greece.
Abstract
Most of the existing learning environments work in wellstructured domains by making use of or combining AI techniques in order to create and update a learner model, provide individual and/or collaboration support and perform learner diagnosis. In this paper we present an approach that exploits the synergy of case-base reasoning and soft-computing for learner modelling in an ill-structured domain for exploratory learning. We present the architecture of the learner model, the knowledge formulation in terms of cases and illustrate its application in an exploratory learning environment for mathematical generalisation.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Research Centres and Institutes: | Birkbeck Knowledge Lab |
| Depositing User: | Administrator |
| Date Deposited: | 14 Sep 2010 11:15 |
| Last Modified: | 09 Aug 2023 12:29 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/1215 |
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