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Toward a better self-regulation: degree of certainty through fuzzy logic in a formative assessment

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Abstract

In the present paper, we plan to introduce a new procedure for learner’s assessment in the learning environment in a way true to reality by using fuzzy logic. In this evaluation, learner’s responses are accompanied by a degree of certainty expressed by him. This method allows detection of problems encountered by the learner and also to fix the concepts mastered and those that are not. It is a diagnostic procedure that improves the process of content adaptation and self-adjustment on the one hand and makes the knowledge model clearly interpretable and more understandable to learner and tutor/teacher/head teacher on the other hand.

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Authors and Affiliations

  1. Laboratory SSDIA ENSET Mohammedia, University of Hassan II, Casablanca, Morocco

    A. Naji

  2. Laboratory LIM FST Mohammedia, University of Hassan II, Casablanca, Morocco

    M. Ramdani

Authors
  1. A. Naji
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  2. M. Ramdani
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Correspondence to A. Naji.

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Naji, A., Ramdani, M. Toward a better self-regulation: degree of certainty through fuzzy logic in a formative assessment. AI & Soc 31, 259–264 (2016). https://doi.org/10.1007/s00146-015-0586-7

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  • DOI: https://doi.org/10.1007/s00146-015-0586-7

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