Exploring the Impact of Mobile Devices in E-Learning: A case Study Evaluating its Effectiveness
DOI:
https://doi.org/10.34142/2709-7986.2024.29.2.06Keywords:
digital education, e-learning, mobile learning, mobile devices in education, mobile technology in learningAbstract
Aim. The integration of mobile devices into educational environments has revolutionized the landscape of e-learning, presenting new opportunities and challenges. This research paper aims to examine the pivotal role of mobile devices in the e-learning environment and assess the effectiveness of mobile learning applications in enhancing the educational experience.
Methodology. The study employs a mixed-methods approach, combining quantitative data through surveys and usage analytics with qualitative insights derived from interviews and focus group discussions.
Results. By analyzing the perspectives of both educators and learners, the research investigates how mobile devices contribute to the flexibility and accessibility of e-learning content. Additionally, the paper evaluates the effectiveness of various mobile learning applications in promoting engagement, knowledge retention, and overall learning outcomes. It scrutinizes the features that contribute to the success of these applications, such as user interface design, interactivity, and adaptability to diverse learning styles. Furthermore, the research delves into the challenges associated with mobile learning, including issues related to device compatibility, connectivity, and user motivation. Strategies to overcome these challenges and optimize the benefits of mobile learning are explored. The findings of this study are expected to provide valuable insights for educators, curriculum designers, and developers of mobile learning applications.
Conclusion. The research contributes to the ongoing discourse on the effective integration of mobile devices in e-learning environments and offers recommendations for optimizing the design and implementation of mobile learning strategies.
Downloads
References
Babak, E. (2023). Ecology of E-Learning. Educational Challenges, 28(1), 44–57. https://doi.org/10.34142/2709-7986.2023.28.1.04
Budd, J., Daniels, H., Wang, W., Hitson, O., & Tseng, K. (2017, July 3–5). Sensor and electronics educational database: Using technology to teach technology. In EDULEARN17 Proceedings (pp. 6716–6725). IATED. https://doi.org/10.21125/edulearn.2017.2532
Chen, T., & Lin, C. (2018). Enhancing L2 English Learning through Mobile-Assisted TBLT : EFL Learners’ Perspectives. The Journal of AsiaTEFL, 15(2), 453–461. https://doi.org/10.18823/asiatefl.2018.15.2.13.453
Czerniewicz, L., Trotter, H., & Haupt, G. (2019). Online teaching in response to student protests and campus shutdowns: Academics’ perspectives. International Journal of Educational Technology in Higher Education, 16(1), 43. https://doi.org/10.1186/s41239-019-0170-1
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Ertmer, P. A. (1999). Addressing first- and second-order barriers to change: Strategies for technology integration. Educational Technology Research and Development, 47(4), 47–61. https://doi.org/10.1007/bf02299597
Faudzi, M. A., Cob, Z. C., Omar, R., Sharudin, S. A., & Ghazali, M. (2023). Investigating the user interface design frameworks of current mobile learning Applications: A Systematic review. Education Sciences, 13(1), 94. https://doi.org/10.3390/educsci13010094
Huang, H., & Liaw, S. (2018). An analysis of learners’ intentions toward virtual reality learning based on constructivist and technology acceptance approaches. The International Review of Research in Open and Distributed Learning, 19(1), 91–115. https://doi.org/10.19173/irrodl.v19i1.2503
Kearney, M., Burden, K., & Rai, T. (2014). Investigating teachers’ adoption of signature mobile pedagogies. Computers & Education, 80, 48–57. https://doi.org/10.1016/j.compedu.2014.08.009
Kearney, M., Schuck, S., Burden, K., & Aubusson, P. (2012). Viewing mobile learning from a pedagogical perspective. Research in Learning Technology, 20, 14406. https://doi.org/10.3402/rlt.v20i0/14406
Kebritchi, M., Lipschuetz, A., & Santiague, L. (2017). Issues and Challenges for teaching successful online courses in higher education. Journal of Educational Technology Systems, 46(1), 4–29. https://doi.org/10.1177/0047239516661713
Kostikova, I., & Miasoiedova, S. (2022). E-Learning Teaching: Supportive Online Course ‘English Fastpass’. Educational Challenges, 27(2), 91–104. https://doi.org/10.34142/2709-7986.2022.27.2.07
Kovalenko, O., & Hontarenko, I. (2023). Modern Electronic Educational Technologies in the Process of E-Learning. Educational Challenges, 28(1), 98–112. https://doi.org/10.34142/2709-7986.2023.28.1.08
Lu, H. S., & Smiles, R. (2022). The role of collaborative learning in the online education. International Journal of Economics Business and Management Research, 06(06), 125–137. https://doi.org/10.51505/ijebmr.2022.6608
Mtebe, J. S., & Raphael, C. (2018). Key factors in learners’ satisfaction with the e-learning system at the University of Dar es Salaam, Tanzania. Australasian Journal of Educational Technology, 34(4), 107–122. https://doi.org/10.14742/ajet.2993
Park, Y. (2011). A pedagogical framework for mobile learning: Categorizing educational applications of mobile technologies into four types. The International Review of Research in Open and Distributed Learning, 12(2), 78–102. https://doi.org/10.19173/irrodl.v12i2.791
Persiano, G. V., & Rapuano, S. (2012). Electronic- and mobile-learning in electronics courses focused on FPGA. In E. Pontes, A. Silva, A. Guelfi, & S. T. Kofuji (Eds.), E-learning (Ch. 2). IntechOpen. https://doi.org/10.5772/29911
Persson, H., Åhman, H., Yngling, A. A., & Gulliksen, J. (2014). Universal design, inclusive design, accessible design, design for all: different concepts—one goal? On the concept of accessibility – historical, methodological and philosophical aspects. Universal Access in the Information Society, 14(4), 505–526. https://doi.org/10.1007/s10209-014-0358-z
Pimmer, C., Mateescu, M., & Gröhbiel, U. (2016). Mobile and ubiquitous learning in higher education settings. A systematic review of empirical studies. Computers in Human Behavior, 63, 490–501. https://doi.org/10.1016/j.chb.2016.05.057
Prince, M. J. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223–231. https://doi.org/10.1002/j.2168-9830.2004.tb00809.x
Siemens, G. (2004). Connectivism: A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning, 2. https://api.semanticscholar.org/CorpusID:10302016
Veretiuk, T., & Chetveryk, V. (2024). Social networks as an additional tool for learning Ukrainian as a foreign language. In Science and technology of the future: Advanced views: XXIX International scientific and practical conference (pp. 114–117). Madrid, Spain.
Venkatesh, N., Morris, N., Davis, N., & Davis, N. (2003). User acceptance of information Technology: toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
World Medical Association. (2013). World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA, 310(20), 2191–2194. https://doi.org/10.1001/jama.2013.281053
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Khalid Ghoulam, Belaid Bouikhalene

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.