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Fuzzy Pre-condition Rules for Activity Sequencing in Intelligent Learning Environments

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 601))

Abstract

In a learning environment a participant interacts, uses their skill, creates or uses tools and artifacts to obtain and interpret information to construct their learning. Intelligent learning environments are those that use computational systems and devices to enhance the learning process. To establish an order in the activities to be performed in these environments initiatives have been used as the simple sequenced which establishes a learning sequence which guides the learner through the learning activity. As each learner or user learns differently these environments it’s hard to supply them appropriate activities. In this paper we propose the modification on the inputs of the precondition rules of the IMS Simple Sequencing Specification using fuzzy logic to provide appropriate resources for each activity in the sequence.

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Correspondence to Mario García-Valdez .

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Arce, F., García-Valdez, M. (2015). Fuzzy Pre-condition Rules for Activity Sequencing in Intelligent Learning Environments. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization. Studies in Computational Intelligence, vol 601. Springer, Cham. https://doi.org/10.1007/978-3-319-17747-2_37

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  • DOI: https://doi.org/10.1007/978-3-319-17747-2_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17746-5

  • Online ISBN: 978-3-319-17747-2

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