The Potential of Mobile Learning in Improving Students' Intention and Learning Readiness in Higher Education: A Systematic Literature Review Using PRISMA

Sitti Saum Sayidaturrahmah, Ponasari Baron Mutiara Kenya, Ahkamsyadid Yusmaputra Salim, Tantradiva Noftyandikumara Adicitadharma, Citra Kurniawan, Rumaizah Mohd Nordin

Abstract

In the modern technological era, mobile learning offers students enhanced flexibility and accessibility in education. However, Issues that impedes the implementation of mobile learning is the lack of student readiness to use this technology effectively, both in terms of technological skills and psychological readiness. In addition, there is still a gap in understanding the factors that influence students' intention and learning readiness in various higher education contexts. This study aims to explore the potential of mobile learning in improving students' learning intention and readiness. The method used is a Systematic Literature Review with a descriptive qualitative approach, following the PRISMA guidelines. Articles were collected from Google Scholar, Scopus, and Emerald Insight databases with the search keywords “mobile learning,” “students' intention,” and “learning readiness,” covering publications from 2020 to 2024. The review process involved selection based on inclusion and exclusion criteria and thematic analysis of study results. This study found that students perceived the ease of use and technology benefits are the most important elements driving m-learning acceptance. Technology skills, psychological readiness, social support, perceived utility, convenience, and task-material compatibility are the important elements influencing students' learning intention and readiness. These findings are expected to guide the development of more effective technology-driven learning methodologies, particularly within Indonesian higher education. They also underscore the potential of mobile devices to enhance learning efficiency and enable personalized learning approaches tailored to individual needs

Keywords

Mobile Learning, Students' Intention, Learning Readiness, Higher Education, Technology Acceptance, Motivation, Learning Engagement

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References

Achmad Hamdan, Hidayat, W. N., & Suswanto, H. (2020). Aplikasi dan Sosialisasi Gamification Mobile Learning untuk Meningkatkan Pemahaman dan Motivasi Pembelajaran Pemrograman Web. Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat, 2(1), 37–44. https://doi.org/10.30605/atjpm.v2i1.387

Ahmad, T. (2020). Student perceptions on using cell phones as learning tools: Implications for mobile technology usage in Caribbean higher education institutions. PSU Research Review, 4(1), 25–43. https://doi.org/10.1108/PRR-03-2018-0007

Aliberti, M.J., Cenzer, I.S., Smith, A.K., Lee, S.J., Yaffe, K. and Covinsky, K.E. (2019), “Risk assessment of adverse outcomes for older adults: the need to include both physical and cognitive elements”, Journal of the American Geriatrics Society, Vol. 67, p. 477.

Almulla, M. A. (2024). Investigating students' intention to use m-learning. International Journal of Information and Communication Technology Education, 20(1), 1-26. https://doi.org/10.4018/ijicte.337136

Aloqaily, A., Al-Nawayseh, M.K., Baarah, A.H., Salah, Z., Al-Hassan, M. and Al-Ghuwairi, A.-R. (2019), “A neural network analytical model for predicting determinants of mobile learning acceptance”, International Journal of Computer Applications in Technology, Vol. 60 No. 1, pp. 73-85, doi: 10.1504/IJCAT.2019.099502.

Al-Hunaiyyan, A., Alhajri, R. A., & Al-Sharhan, S. (2018). Perceptions and challenges of mobile learning in Kuwait. Journal of King Saud University - Computer and Information Sciences, 30(2), 279–289. https://doi.org/10.1016/j.jksuci.2016.12.001

Al-Rahmi, A. M., Al-Rahmi, W. M., Alturki, U., Aldraiweesh, A., Almutairy, S., & Al-Adwan, A. S. (2021). Exploring the Factors Affecting Mobile Learning for Sustainability in Higher Education. Sustainability, 13(14). https://doi.org/10.3390/su13147893

Al-Rahmi W. M. Yahaya N. Alamri M. M. Alyoussef I. Y. Al-Rahmi A. M. Kamin Y. (2021c). Integrating innovation diffusion theory with technology acceptance model: Supporting students’ attitude towards using a massive open online courses (MOOCs) systems.Interactive Learning Environments, 29(8), 1380–1392. 10.1080/10494820.2019.1629599

Alturki U. Aldraiweesh A. (2022). Students’ perceptions of the actual use of mobile learning during COVID-19 pandemic in higher education.Sustainability (Basel), 14(3), 1125. 10.3390/su14031125

Amalia, L., Agustin, N. H. R., & Putri, D. I. (2021). Perbandingan Hasil Belajar Siswa dengan Multimedia Berbasis Mobile Learning dan Multimedia Presentasi Pada Sub Pokok Bahasan Ekosistem. PETIK: Jurnal Pendidikan Teknologi Informasi Dan Komunikasi, 7(2), 119-125. https://scholar.archive.org/work/g5bhuhmzuvahfpoi4bmy2xotne/access/wayback/https://journal.institutpendidikan.ac.id/index.php/petik/article/download/1274/pdf_1

Buabeng-Andoh, C. (2021). Exploring University students’ intention to use mobile learning: A research model approach. Education and Information Technologies, 26(1), 241–256. https://doi.org/10.1007/s10639-020-10267-4

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

Fagan, M.H. (2019), “Factors influencing student acceptance of mobile learning in higher education”, Computers in the Schools, Vol. 36 No. 2, pp. 105-121, doi: 10.1080/07380569.2019.1603051.

Hoi, V. N. (2020). Understanding higher education learners’ acceptance and use of mobile devices for language learning: A Rasch-based path modeling approach. Computers & Education, 146, 103761. https://doi.org/10.1016/j.compedu.2019.103761

Hossain, M. N., Talukder, Md. S., Khayer, A., & Bao, Y. (2021). Investigating the factors driving adult learners’ continuous intention to use M-learning application: A fuzzy-set analysis. Journal of Research in Innovative Teaching & Learning, 14(2), 245–270. https://doi.org/10.1108/JRIT-09-2019-0071

Kaliisa R. Palmer E. Miller J. (2019). Mobile learning in higher education: A comparative analysis of developed and developing country contexts.British Journal of Educational Technology, 50(2), 546–561. 10.1111/bjet.12583

Kampa, R. K. (2023). Combining technology readiness and acceptance model for investigating the acceptance of m-learning in higher education in India. Asian Association of Open Universities Journal, 18(2), 105–120. https://doi.org/10.1108/AAOUJ-10-2022-0149

Kitchenham, B., Pearl Brereton, O., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009). Systematic literature reviews in software engineering – A systematic literature review. Special Section - Most Cited Articles in 2002 and Regular Research Papers, 51(1), 7–15. https://doi.org/10.1016/j.infsof.2008.09.009

Knowles, M. (1975). Self-Directed Learning: A Guide for Learners and Teachers. Chicago, IL: Follett Publishing Company.

Kumar Basak, S., Wotto, M., & Bélanger, P. (2018). E-learning, M-learning and D-learning: Conceptual definition and comparative analysis. E-Learning and Digital Media, 15(4), 191–216. https://doi.org/10.1177/2042753018785180

Lin, S. H., Lee, H.-C., Chang, C.-T., & James Fu, C. (2020). Behavioral intention towards mobile learning in Taiwan, China, Indonesia, and Vietnam. Technology in Society, 63, 101387. https://doi.org/10.1016/j.techsoc.2020.101387

Loetscher, T., Potter, K.J., Wong, D. and Das Nair, R. (2019), “Cognitive rehabilitation for attention deficits following stroke”, Cochrane Database of Systematic Reviews, No. 11, doi: 10.1002/14651858.CD002842.pub3.

Mutambara D. Bayaga A. (2021). Determinants of mobile learning acceptance for STEM education in rural areas.Computers & Education, 160, 104010. 10.1016/j.compedu.2020.104010

Sánchez-Prieto J. C. Hernández-García Á. García-Peñalvo F. J. Chaparro-Peláez J. Olmos-Migueláñez S. (2019). Break the walls! Second-order barriers and the acceptance of mLearning by first-year pre-service teachers.Computers in Human Behavior, 95, 158–167. 10.1016/j.chb.2019.01.019

Sun, Y., & Gao, F. (2020). An investigation of the influence of intrinsic motivation on students’ intention to use mobile devices in language learning. Educational Technology Research and Development, 68(3), 1181–1198. https://doi.org/10.1007/s11423-019-09733-9

Viberg O. Andersson A. Wiklund M. (2021). Designing for sustainable mobile learning – Re-evaluating the concepts “formal” and “informal.”. Interactive Learning Environments, 29(1), 130–141. 10.1080/10494820.2018.1548488

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