Identifying strategies in users' exploratory learning behaviour for mathematical generalisation

Mihaela Cocea, G. Magoulas

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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Abstract

The nature of the activities that take place in Exploratory Learning Environments allow generating a variety of learner trajectories and makes difficult to develop a model of all possible behaviours (correct or incorrect). To alleviate this situation, we propose an approach for knowledge representation and identification of strategies followed by the learners during exploratory learning. Our approach combines heterogeneous sources of information and defines appropriate similarity measures for strategy identification. Some scenarios from the domain of mathematical generalisation are presented.
Original languageEnglish
Title of host publicationProceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
EditorsV. Dimitrova, R. Mizoguchi, B. Du Boulay, A. Graesser
Place of PublicationAmsterdam
PublisherIOS Press
Pages626-628
Number of pages3
ISBN (Print)9781607500285
Publication statusPublished - 2009
EventProceeding of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling -
Duration: 1 Jan 2009 → …

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS Press

Conference

ConferenceProceeding of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Period1/01/09 → …

Keywords

  • Exploratory Learning
  • Similarity Metrics
  • Strategy Identification

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