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A Study on Random Differentiation Methods for Homework Based on Fuzzy Test

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Computer Science and Education (ICCSE 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1812))

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Abstract

A fuzzy test-based method for random differentiation of homework is proposed to address the problems of low update frequency, serious plagiarism and weakened barriers in university coursework. In order to generate fuzzy homework questions, a semi-automatic framework for fuzzy test-based homework is designed and the four key steps are described in formal language, including pre-processing, variable construction, variable screening and difficulty assessment. The effectiveness of the method is illustrated through a comparison of student teaching data, questionnaire feedback and faculty interviews in a pilot course on principles of computer composition.

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Acknowledgment

We are very thankful that this study is supported by Teaching Reform Research Project of Hunan Province “Research and Practice on Assignment Design Framework of Computer Theory Course Based on Fuzzy Test” (HNJG-2021-0919); Huaihua University Teaching Reform Project “A study on Design of Computer Composition Principles Assignments Based on CC2020 Competency Model” (HHXY-2022-068); Research Project on Computer Basic Education Teaching of the National Research Association of Computer Basic Education in Higher Education Institutions “A Questioning Flipped Classroom Oriented to Ability Cultivation” (2021-AFCEC-255); Project of Hunan Provincial Social Science Foundation “Research on the Digital Construction and Innovation Path of Zhijiang Peace Culture in the Perspective of Immersive Experience” (21JD046). Scientific Research Project of Hunan Provincial Department of Education (19B447); General program of Humanities and social sciences of the Ministry of Education of China (19YJC880064).

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Correspondence to Yiwen Liu .

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Liu, Y., Shi, Y., Peng, X., Mi, C., Yang, Y. (2023). A Study on Random Differentiation Methods for Homework Based on Fuzzy Test. In: Hong, W., Weng, Y. (eds) Computer Science and Education. ICCSE 2022. Communications in Computer and Information Science, vol 1812. Springer, Singapore. https://doi.org/10.1007/978-981-99-2446-2_10

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  • DOI: https://doi.org/10.1007/978-981-99-2446-2_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-2445-5

  • Online ISBN: 978-981-99-2446-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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