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An Agent model for metacognitive incentives of learners

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Published:14 November 2017Publication History

ABSTRACT

The article presents a model of an agent that encourages a learner to improve and develop his/her performance and autonomy of learning. This agent is based on evaluations before, during and after the consultation of a pedagogical support and on certain criteria to trigger the metacognitive incentives. These incentives are necessary to maintain the motivation of the learner and incite them to construct a course reading plan and to choose a learning strategy that is more suited to a learning situation. The criteria which have been used take into account the speed of learning, attention, motivation, confidence, difficulty, the metacognitive level and the result of the learner's diagnostic, formative and summative evaluation.

We assign the agent the ability to assess and motivate the learner to plan learning and to choose an appropriate learning strategy.

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  • Published in

    cover image ACM Other conferences
    ICCWCS'17: Proceedings of the 2nd International Conference on Computing and Wireless Communication Systems
    November 2017
    512 pages
    ISBN:9781450353069
    DOI:10.1145/3167486

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    Publication History

    • Published: 14 November 2017

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