Adaptive modelling of users' strategies in exploratory learning using case-based reasoning

Authors:
Mihaela Cocea;Sergio Gutierrez-Santos;George D. Magoulas
Affiliations:
London Knowledge Lab, Birkbeck College, University of London, London, UK;London Knowledge Lab, Birkbeck College, University of London, London, UK;London Knowledge Lab, Birkbeck College, University of London, London, UK
Venue:
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Year:
2010

Citing 4
Cited 1

Case-based reasoning

Case-based reasoning
Feature normalization and likelihood-based similarity measures for image retrieval

Pattern Recognition Letters - Special issue on image/video indexing and retrieval
Methods of case adaptation: A survey: Research Articles

International Journal of Intelligent Systems
Issues in the Design of an Environment to Support the Learning of Mathematical Generalisation

EC-TEL '08 Proceedings of the 3rd European conference on Technology Enhanced Learning: Times of Convergence: Technologies Across Learning Contexts

The design of a system to support exploratory learning of algebraic generalisation

Computers & Education

Quantified Score

Hi-index	0.00

Visualization

Abstract

In exploratory learning environments, learners can use different strategies to solve a problem. To the designer or teacher, however, not all these strategies are known in advance and, even if they were, introducing them in the knowledge base would involve considerable time and effort. In previous work, we have proposed a case-based knowledge representation, modelling the learners behaviour when constructing/exploring models through simple cases and sequences of cases, called strategies. In this paper, we enhance this approach with adaptive mechanisms for expanding the knowledge base. These mechanisms allow to identify and store inefficient cases, i.e. cases that pose additional difficulty to students in their learning process, and to gradually enrich the knowledge base by detecting and adding new strategies.