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A Study On The Usage Of M-Learning Applications Within Bulgarian Schools

Author

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  • Bonimir Penchev

    (Department of Informatics, University of Economics - Varna, Bulgaria)

Abstract

The transformation of the educational model is directly linked to the key participants in the educational process. Modern pupils cannot imagine life without the usage of various digital technologies such as mobile devices. Moreover, today’s learners spend more time preparing for school using interactive mobile applications. That defines the purpose of this article: to explore the usage of m-learning applications in the educational process within Bulgarian schools. To achieve that it has been created a survey that consists of 11 questions and was distributed to 140 participants (pupils from Bulgarian schools). The results have shown that 54.28% of respondents use m-learning applications within the classroom and 72.86% of them use m-learning applications for self-study. Additionally, 60% of respondents believe that using such applications would enhance the educational process. This provides ample justification for directing efforts from all stakeholders (educational institutions, educators, and learners) toward wider and more comprehensive integration of these applications in the educational process. From the perspective of future research, there could be endeavors to conduct a more extensive and representative study by trying to utilize cluster sampling in order to overcome the limitations posed by the current research methodology.

Suggested Citation

  • Bonimir Penchev, 2024. "A Study On The Usage Of M-Learning Applications Within Bulgarian Schools," Business & Management Compass, University of Economics Varna, issue 1, pages 45-53.
    • Handle: RePEc:vrn:journl:y:2024:i:1:p:45-53
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    File URL: https://bi.ue-varna.bg/ojs/index.php/bmc/article/view/27/7
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    Cited by:

    1. Vasilev Julian & Daneva Teodora & Momcheva Silvia, 2025. "Time Series Analysis of Bikes Sales Dataset in JASP," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 19(1), pages 1072-1087.
    2. Pancheva Yana & Marinova Mariana, 2025. "Application of Organic and Paid Search in Audience Targeting," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 19(1), pages 1051-1061.
    3. Andreev Viktor & Vasilev Julian, 2025. "Pattern Discovery in Time Series Data Using Python Script and MS Excel," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 19(1), pages 958-968.

    More about this item

    Keywords

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    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • P24 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - National Income, Product, and Expenditure; Money; Inflation
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical

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