Analysis of Prospective Primary School Teachers' Attitudes towards Mobile Learning Tools and Acceptance of Mobile Learning

Aziya Zhumabayeva, Sazhila Nurshanova, Zhazira Zhumabayeva, Yernar Ospankulov, Rabiga Bazarbekova, Assel Stambekova
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Abstract


Although the use of mobile technologies in education is rapidly becoming widespread, there are limited findings about the attitudes, competencies and acceptance behaviors of prospective teachers who use and will use these technologies. However, prospective teachers will be the implementers of new technologies such as mobile learning in education when they start their teaching profession in the future. In this study, it was aimed to examine prospective teachers' attitudes towards mobile learning and their mobile learning acceptance behaviors in terms of some variables. The study was conducted by cross-sectional survey method with the participation of prospective teachers studying at two universities in Kazakhstan. The study was composed of 260 prospective teachers at different grade levels. According to the findings of the study, the acceptance behaviors of prospective teachers towards mobile technologies were found to be moderate, while their attitudes towards these technologies were found to be positive and high. In the study, it was found that prospective teachers' attitudes towards mobile learning and mobile learning acceptance behaviors showed significant differences according to gender and grade level. Finally, it was found that attitudes towards mobile learning predicted mobile learning acceptance behaviors significantly and positively in Kazakhstani prospective teachers


Keywords


Mobile learning, Prospective teachers, Primary school, Attitude, Kazakhstan

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References


Zhumabayeva, A., Nurshanova, S., Zhumabayeva, Z., Ospankulov, Y., Bazarbekova, R., & Stambekova, A. (2023). Analysis of prospective primary school teachers' attitudes towards mobile learning tools and acceptance of mobile learning. International Journal of Education in Mathematics, Science, and Technology (IJEMST), 11(3), 728-743. https://doi.org/10.46328/ijemst.3322




DOI: https://doi.org/10.46328/ijemst.3322

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