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Abstract
Most of the existing learning environments work in well-structured 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.
Original language | English |
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Title of host publication | Proceedings of the 1st International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2008), in conjunction with the 18th European Conference on Artificial Intelligence (ECAI-08) |
Editors | I. Hatzilygeroudis, C. Koutsojannis, V. Palade |
Publisher | CEUR Workshop Proceedings |
Pages | 13-18 |
Number of pages | 6 |
Edition | 375 |
Publication status | Published - 21 Jul 2008 |
Event | 1st International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2008) in conjunction with the 18th European Conference on Artificial Intelligence (ECAI-08) - Patras, Greece Duration: 21 Jul 2008 → 22 Jul 2008 |
Publication series
Name | CEUR-WS |
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Publisher | CEUR-WS |
Number | 375 |
Workshop
Workshop | 1st International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2008) in conjunction with the 18th European Conference on Artificial Intelligence (ECAI-08) |
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Country/Territory | Greece |
Period | 21/07/08 → 22/07/08 |
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