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Application of the K-medians Clustering Algorithm for Test Analysis in E-learning

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Software Engineering Application in Systems Design (CoMeSySo 2022)

Abstract

E-education allows significantly automating the learning process. One of the key elements of e-learning is testing. The use of tests allows an objective and unbiased assessment of student knowledge. However, this automated approach requires high-quality tests that are relevant to the theoretical material and practical skills acquired by the student while taking an e-learning course. This paper proposes the use of the K-medians clustering algorithm, which makes it possible to divide the test questions into separate clusters in order to analyze them and further improve the tests, and possibly the entire e-course as a whole. The paper presents fragments of program code that can be used by other researchers in solving clustering problems.

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Correspondence to Roman Tsarev .

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Aljarbouh, A. et al. (2023). Application of the K-medians Clustering Algorithm for Test Analysis in E-learning. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Software Engineering Application in Systems Design. CoMeSySo 2022. Lecture Notes in Networks and Systems, vol 596. Springer, Cham. https://doi.org/10.1007/978-3-031-21435-6_21

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