Determining University Students’ Views on Mobile Technology and Moodle Applications in Personalized Learning

Authors

  • Zhanat Seitakhmetova East Kazakhstan Technical University
  • Utebayeva Aliya Tulkibaevna Shymkent university
  • Aigul Sadvakassova L.N.Gumilyov Eurasian National University, Аstana, Kazakhstan
  • Akerke Ikenova Sarsen Amanzholov East Kazakhstan University
  • Raigul Karmenova International school of Nur-Sultan
  • Gulnur Zhunussova Sarsen Amanzholov East Kazakhstan University

DOI:

https://doi.org/10.3991/ijim.v16i23.36207

Keywords:

Moodle, Mobile technology, Personalised learning, Distance learning platforms, University students

Abstract


The aim of this study is to determine the opinions of university students about mobile technology and Moodle applications, considering that university students continue their lessons through the distance education platform throughout the pandemic, mobile technology will turn into an advantage for them. Quantitative research method was used in the study. The research was conducted in the fall semester of 2021-2022. 270 volunteer university students that study in Kazakhstan  participated in the research. In the research, 3-week online training was given to university students. In the research, the "Moodle & Mobile Technology" measurement tool developed by the researchers and compiled by experts in the field was used. The measurement tool was delivered and collected by university students via online method. The analysis of the data was made using the SPSS program, frequency analysis, t-test and anova test, and the results were added to the research with tables and comments. According to the results obtained from the research, it has been concluded that university students have a high opinion of mobile technology and module application.

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Published

2022-12-08

How to Cite

Seitakhmetova, Z., Tulkibaevna, U. A., Sadvakassova, A., Ikenova, A., Karmenova, R., & Zhunussova, G. . (2022). Determining University Students’ Views on Mobile Technology and Moodle Applications in Personalized Learning. International Journal of Interactive Mobile Technologies (iJIM), 16(23), pp. 59–72. https://doi.org/10.3991/ijim.v16i23.36207

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Papers