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Application of Fuzzy Logic for Evaluating Student Learning Outcomes in E-Learning

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Data Analytics in System Engineering (CoMeSySo 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 935))

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Abstract

Electronic education significantly expands the possibilities of traditional education both in terms of electronic educational environments and new educational technologies. Electronic educational environment allows students to access the materials of the course they are studying. Besides, there is an opportunity to evaluate the results of learning. This article considers the application of fuzzy logic in the evaluation of students’ results when taking a course. Fuzzy logic allows to take into account the inaccuracies and uncertainties that are inherent in the educational process. Unlike classical assessment methods, which often operate with rigid rules and clear boundaries, fuzzy logic allows taking into account different levels of knowledge, skills and other criteria when assessing learning outcomes. This is particularly important in an educational context where students have different abilities, interests and learning needs. The application of fuzzy logic allows for a more objective evaluation of student learning outcomes and contributes to improving the quality of education. #COMESYSO1120.

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Author information

Authors and Affiliations

  1. Institut Universitaire de Technologie, Université de Parakou, Parakou, Benin

    Mikaël A. Mousse

  2. Computer Science Department, College of Science, Nawroz University, Duhok, Iraq

    Saman M. Almufti

  3. Almería University, Almería, Spain

    Darío Salguero García

  4. Ibn Tofail University, Kenetra, Morocco

    Ikhlef Jebbor

  5. University of Central Asia, Naryn, Kyrgyz Republic

    Ayman Aljarbouh

  6. MIREA - Russian Technological University (RTU MIREA), Moscow, Russia

    Roman Tsarev

  7. Bauman Moscow State Technical University, Moscow, Russia

    Roman Tsarev

Authors
  1. Mikaël A. Mousse
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  2. Saman M. Almufti
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  3. Darío Salguero García
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  4. Ikhlef Jebbor
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  5. Ayman Aljarbouh
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  6. Roman Tsarev
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Corresponding author

Correspondence to Mikaël A. Mousse .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Petr Silhavy

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Mousse, M.A., Almufti, S., García, D.S., Jebbor, I., Aljarbouh, A., Tsarev, R. (2024). Application of Fuzzy Logic for Evaluating Student Learning Outcomes in E-Learning. In: Silhavy, R., Silhavy, P. (eds) Data Analytics in System Engineering. CoMeSySo 2023. Lecture Notes in Networks and Systems, vol 935. Springer, Cham. https://doi.org/10.1007/978-3-031-54820-8_15

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