Comparative International Research in the Area of Educational Platforms and MOOCS: an Opinion of It Students Using Data Mining Analysis

Morze, Nataliia and Chromiński, Kornel and Przybyła-Kasperek, Małgorzata and Smyrnova-Trybulska, Eugenia and Bazarbayeva, Ainur (2023) Comparative International Research in the Area of Educational Platforms and MOOCS: an Opinion of It Students Using Data Mining Analysis Колективна (три і більше авторів). „E-learning & Artificial Intelligence (AI)“: monography. STUDIO NOA for University of Silesia, Katowice-Cieszyn, Poland.

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Abstract

In the paper, a study was conducted using data mining methods such as decision tree, Naïve Bayes classifier and the Generalized linear model to detect patterns in data obtained from a questionnaire on educational platforms. The questionnaire was conducted among students from three countries Poland, Kazakhstan and Ukraine. Questions on the frequency of use of educational platforms, various platforms that are most popular among students, the most popular topics of courses on educational platforms and the use of Git systems, and the Stack Overflow platform were analysed and some interesting relations were identified in the paper

Item Type:	Monograph (Колективна (три і більше авторів))
Uncontrolled Keywords:	educational platform; data mining; visualization; student survey; decision tree; correlation
Subjects:	Це архівна тематика Київського університету імені Бориса Грінченка > Монографії > Видані за кордоном (окрім країн СНД)
Divisions:	Це архівні підрозділи Київського університету імені Бориса Грінченка > Факультет інформаційних технологій та математики > Кафедра комп'ютерних наук
Depositing User:	Наталія Вікторівна Морзе
Date Deposited:	29 Dec 2023 19:36
Last Modified:	29 Dec 2023 19:50
URI:	https://elibrary.kubg.edu.ua/id/eprint/47890

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