Open Access Peer-reviewed Research Article

Exploring the impact of mobile devices in electronics e-learning: A case study evaluating the effectiveness of mobile learning applications in the field of electronics and sensors

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Submitted   Mar 22, 2024
Published   Jun 14, 2024
Issue    Vol 4 No 2 (2024)
DOI   10.25082/AMLER.2024.02.001

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Khalid Ghoulam corresponding author
LIMATI Laboratory, Polydisciplinary Faculty, Sultan Moulay Slimane University, Beni Mellal, Morocco
Belaid Bouikhalene
Department of Mathematics and Computer Sciences, Sultan Moulay Slimane University, Beni Mellal, Morocco
Abdelghani Babori
Ibn Zohr University, Agadir, Morocco
Noureddine Falih
LIMATI Laboratory, Polydisciplinary Faculty, Sultan Moulay Slimane University, Beni Mellal, Morocco

Abstract

Integrating mobile devices into educational environments has revolutionised 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. The study employs a mixed-methods approach, combining quantitative data through surveys and usage analytics with qualitative insights from interviews and focus group discussions. By analysing 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 scrutinises 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 of mobile learning, including device compatibility, connectivity, and user motivation issues. Strategies to overcome these challenges and optimise 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. The research aims to contribute to the ongoing discourse on the effective integration of mobile devices in e-learning environments and offer recommendations for optimising the design and implementation of mobile learning strategies. Ultimately, this exploration seeks to foster a deeper understanding of the potential of mobile devices in shaping the future of education.

Keywords
mobile learning, mobile technology in learning, mobile devices in education, digital education

Article Details

How to Cite
Ghoulam, K., Bouikhalene, B., Babori, A., & Falih, N. (2024). Exploring the impact of mobile devices in electronics e-learning: A case study evaluating the effectiveness of mobile learning applications in the field of electronics and sensors. Advances in Mobile Learning Educational Research, 4(2), 1058-1072. https://doi.org/10.25082/AMLER.2024.02.001
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

References

  1. Abubakar, U., & Yunusa, A. A. (2024). Investigating academic staff behavioral intention and readiness to utilise mobile devices for instructional delivery among tertiary institutions in Sokoto State, Nigeria. Advances in Mobile Learning Educational Research, 4(1), 1046–1057. https://doi.org/10.25082/amler.2024.01.015
  2. Ahmad Faudzi, M., Che Cob, Z., 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
  3. Ally, M. (2009). Mobile Learning: Transforming the Delivery of Education and Training. Athabasca, AB: Athabasca University Press. CDN$39.95 ISBN 978-1-897425-43-5 (297 pages).
  4. Budd, J., Daniels, H., Wang, W., Hitson, O., & Tseng, K.-I. (2017). Sensor and Electronics Educational Database: Using Technology to Teach Technology. Edulearn17 Proceedings. https://doi.org/10.21125/edulearn.2017.2532
  5. Chen, T.-H., & Lin, C.-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
  6. Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education, 59(3), 1054–1064. https://doi.org/10.1016/j.compedu.2012.04.015
  7. Crompton, H., (2013). A historical overview of mobile learning: Towards learner-centered education. In Z.L. Berge & L.Y. Muhlenberg (Eds.), Hand Book of Mobile Learning.
  8. Crompton, H., & Burke, D. (2018). The use of mobile learning in higher education: A systematic review. Computers & Education, 123, 53–64. https://doi.org/10.1016/j.compedu.2018.04.007
  9. 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). https://doi.org/10.1186/s41239-019-0170-1
  10. Dahal, N., & Manandhar, N. K. (2024). The reality of e-Learning: Success and failure of learning management system. Advances in Mobile Learning Educational Research, 4(1), 903–910. https://doi.org/10.25082/amler.2024.01.001
  11. Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
  12. De La Cruz, E. M., Trujillo Meza, M. A., & Andrade-Arenas, L. (2023). Mobile application to improve the learning of secondary school students. Advances in Mobile Learning Educational Research, 3(1), 586–595. https://doi.org/10.25082/amler.2023.01.007
  13. 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
  14. Fernández-López, Á., Rodríguez-Fórtiz, M. J., Rodríguez-Almendros, M. L., & Martínez-Segura, M. J. (2013). Mobile learning technology based on iOS devices to support students with special education needs. Computers & Education, 61, 77–90. https://doi.org/10.1016/j.compedu.2012.09.014
  15. Frank, R., & Wagner, L. (2018). Understanding the Importance of FERPA & Data Protection in Higher Education. An Application: Website at La Salle University. Mathematics and Computer Science Capstones. 36. https://digitalcommons.lasalle.edu
  16. Gourlay, L., Rodríguez-Illera, J. L., Barberà, E., Bali, M., Gachago, D., Pallitt, N., Jones, C., Bayne, S., Hansen, S. B., Hrastinski, S., Jaldemark, J., Themelis, C., Pischetola, M., Dirckinck-Holmfeld, L., Matthews, A., Gulson, K. N., Lee, K., Bligh, B., … Knox, J. (2021). Networked Learning in 2021: A Community Definition. Postdigital Science and Education, 3(2), 326–369. https://doi.org/10.1007/s42438-021-00222-y
  17. Huang, H.-M., & Liaw, S.-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). https://doi.org/10.19173/irrodl.v19i1.2503
  18. Kalogiannakis, M., Ampartzaki, M., Papadakis, S., & Skaraki, E. (2018). Teaching natural science concepts to young children with mobile devices and hands-on activities. A case study. International Journal of Teaching and Case Studies, 9(2), 171. https://doi.org/10.1504/ijtcs.2018.090965
  19. Kearney, M., Burden, K., & Rai, T. (2015). Investigating teachers’ adoption of signature mobile pedagogies. Computers & Education, 80, 48–57. https://doi.org/10.1016/j.compedu.2014.08.009
  20. 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
  21. Khaddage, F.,, Müller., & Flintoff, K. (2016). Advancing Mobile Learning in Formal And Informal Settings via Mobile App Technology: Where to From Here, and How? Journal of Educational Technology & Society, 19(3), 16–26. https://www.jstor.org
  22. Kukulska-Hulme, A. (2012). Smart Devices or People? A Mobile Learning Quandary. International Journal of Learning and Media, 4(3–4), 73–77. https://doi.org/10.1162/ijlm_a_00105
  23. Lampropoulos, G. (2023). Educational benefits of digital game-based learning: K-12 teachers’ perspectives and attitudes. Advances in Mobile Learning Educational Research, 3(2), 805–817. https://doi.org/10.25082/amler.2023.02.008
  24. 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). https://doi.org/10.14742/ajet.2993
  25. Naveed, Q. N., Choudhary, H., Ahmad, N., Alqahtani, J., & Qahmash, A. I. (2023). Mobile Learning in Higher Education: A Systematic Literature Review. Sustainability, 15(18), 13566. https://doi.org/10.3390/su151813566
  26. Papadakis, S. (2020). Tools for evaluating educational apps for young children: a systematic review of the literature. Interactive Technology and Smart Education, 18(1), 18–49. https://doi.org/10.1108/itse-08-2020-0127
  27. Papadakis, S., & Kalogiannakis, M. (2019). Evaluating a course for teaching introductory programming with Scratch to pre-service kindergarten teachers. International Journal of Technology Enhanced Learning, 11(3), 231. https://doi.org/10.1504/ijtel.2019.100478
  28. Papadakis, S., & Kalogiannakis, M. (2020). A Research Synthesis of the Real Value of Self-Proclaimed Mobile Educational Applications for Young Children. Advances in Educational Technologies and Instructional Design, 1–19. https://doi.org/10.4018/978-1-7998-1486-3.ch001
  29. 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
  30. Prince, M. (2004). Does Active Learning Work? A Review of the Research. Journal of Engineering Education, 93(3), 223–231. Portico. https://doi.org/10.1002/j.2168-9830.2004.tb00809.x
  31. Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., & Bashir, A. K. (2020). Investigating the Acceptance of Mobile Library Applications with an Extended Technology Acceptance Model (TAM). Computers & Education, 145, 103732. https://doi.org/10.1016/j.compedu.2019.103732
  32. S. Lu, H., & 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
  33. Siemens, G. (2005). Connectivism: A learning theory for the digital age. International Journal of Instructional Technology & Distance Learning, 2, 3-10.
  34. Song, Y., & Kong, S. C. (2017). RETRACTED CHAPTER: Affordances and Constraints of BYOD (Bring Your Own Device) for Learning in Higher Education: Teachers’ Perspectives. Emerging Practices in Scholarship of Learning and Teaching in a Digital Era, 105–122. https://doi.org/10.1007/978-981-10-3344-5_7
  35. Venkatesh, Morris, Davis, & Davis. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425. https://doi.org/10.2307/30036540
  36. World Medical Association Declaration of Helsinki. (2013). JAMA, 310(20), 2191. https://doi.org/10.1001/jama.2013.281053