Z-test in the Study of Student Engagement in Online Education: Mobile Application and Web Version
14th Computer Science On-line Conference, CSOC 2025 2025
Roman Tsarev, Biswarajan Senapati, Irina Nikolaeva, Feruza Ishanxodjayeva, Alexander Nikulushkin, Nataļja Muračova

The paper presents the results of a study of student engagement in online learning when using a mobile application and a web version of an educational platform. A two-tailed z-test was employed to examine differences in the time spent on the platform by students in the two groups, as a key indicator of student engagement in the educational process. The results of the z-test indicate statistically significant differences between the group of students who used the mobile application and the group using the web version. This suggests that the format of accessing educational materials influences student engagement. The application of the z-test assumes that the data is normally distributed, which was confirmed using the Shapiro-Wilk test. The paper includes a graphical representation of the distribution of time spent on the platform for both groups, as well as a chart comparing the average time spent on the platform for each group. These visualizations complement the results of the z-test and provide a clear assessment of the differences between the groups. The findings of the research have important implications for the development of e-learning courses and online education programs tailored to user preferences.


Keywords
E-learning; Educational technology; Engagement; M-learning; Motivation; Online learning; Shapiro-Wilk test; Statistical test; Two-Tailed Z-Test; Z-Test
DOI
10.1007/978-3-032-00715-5_29
Hyperlink
https://link.springer.com/chapter/10.1007/978-3-032-00715-5_29

Tsarev, R., Senapati, B., Nikolaeva, I., Ishanxodjayeva, F., Nikulushkin, A., Muračova, N. Z-test in the Study of Student Engagement in Online Education: Mobile Application and Web Version. In: 14th Computer Science On-line Conference, CSOC 2025, Russia, Moscow, 1-3 April, 2025. Cham: Springer Science and Business Media Deutschland GmbH, 2025, pp.448-457. ISBN 978-3-032-00714-8. e-ISBN 978-3-032-00715-5. ISSN 2367-3370. e-ISSN 2367-3389. Available from: doi:10.1007/978-3-032-00715-5_29

Publication language
English (en)
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