Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: 6th Computational Methods in Systems and Software 2022 (CoMeSySo2022) conference; Czech Republic; Czech Republic

Год издания: 2023

Ключевые слова: k-Medians clustering, clustering analysis, clustering algorithm, e-Learning, Manhattan distance

Аннотация: 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 acquirПоказать полностьюed 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.

Журнал: Software Engineering Application in Systems Design

Выпуск журнала: 596

Номера страниц: 249-256

Место издания: Switzerland

• Aljarbouh Ayman (University of Central Asia)
• Tsarev Roman (Federal State Budget Educational Institution of Higher Education "MIREA-Russian Technological University")
• Robles Adrián Segura (University of Granada)
• Elkin Sergei (Institute of Economics of The Ural Branch of The Russian Academy of Sciences)
• Gogoleva I.V. (Federal State Budgetary Educational Institution of Higher Education "Arctic State Agrotechnological University")
• Nikolaeva Irina (North-Eastern Federal University named after M.K. Ammosov)
• Varyan I.A. (Plekhanov Russian University of Economics)

• Ядро РИНЦ (eLIBRARY.RU)