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Using Interval-Valued Fuzzy Sets for Recommending Groups in E-Learning Systems

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Computational Collective Intelligence (ICCCI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12496))

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Abstract

To obtain required effects of Web-based learning process, teaching environment should be adjusted to student needs. Differentiation of the environment features can be received by grouping learners of similar preferences. Then each new student, who joins the community, should obtain the recommendation of the group of colleagues with similar characteristics. In the paper, we consider using fuzzy logic for modeling student groups. As the representation of each group, we assume fuzzy numbers connected with learner attributes ranked according to their cardinality. Recommendations for new students are determined taking into account similarity of their dominant features and the highest ranked attributes of groups. The presented approach is examined, for students described by learning style dimensions. The method is evaluated on the basis of experimental results obtained for data of different groups of real students.

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Author information

Authors and Affiliations

  1. Institute of Information Technology, Lodz University of Technology, Wolczanska 215, 90924, Lodz, Poland

    Krzysztof Myszkorowski & Danuta Zakrzewska

Authors
  1. Krzysztof Myszkorowski
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  2. Danuta Zakrzewska
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Corresponding author

Correspondence to Krzysztof Myszkorowski .

Editor information

Editors and Affiliations

  1. Department of Applied Informatics, Wrocław University of Science and Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Thua Thien Hue Center of Information Technology, Hue, Vietnam

    Bao Hung Hoang

  3. Vietnam - Korea University of Information and Communication Technology, University of Da Nang, Da Nang, Vietnam

    Cong Phap Huynh

  4. Department of Computer Engineering, Yeungnam University, Gyeungsan, Korea (Republic of)

    Dosam Hwang

  5. Department of Applied Informatics, Wrocław University of Science and Technology, Wroclaw, Poland

    Bogdan Trawiński

  6. Department of Information Systems, University of Münster, Münster, Germany

    Gottfried Vossen

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Myszkorowski, K., Zakrzewska, D. (2020). Using Interval-Valued Fuzzy Sets for Recommending Groups in E-Learning Systems. In: Nguyen, N.T., Hoang, B.H., Huynh, C.P., Hwang, D., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2020. Lecture Notes in Computer Science(), vol 12496. Springer, Cham. https://doi.org/10.1007/978-3-030-63007-2_7

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  • DOI: https://doi.org/10.1007/978-3-030-63007-2_7

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  • Print ISBN: 978-3-030-63006-5

  • Online ISBN: 978-3-030-63007-2

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