Mobile Learning and Student Motivation: A Meta Analytic Comparison of Global and Indonesian Evidence
DOI:
https://doi.org/10.61978/eduscape.v3i1.1011Keywords:
Mobile Learning, Student Motivation, Meta Analysis, Gamification, Adaptive Learning, Indonesia, Self Determination TheoryAbstract
Synthesizing Global and Indonesian Evidence on Mobile Learning and Student Motivation: A Meta Analytic Approach This study synthesizes evidence from 24 empirical studies (2010–2025) to examine the effect of mobile learning on student motivation. Using systematic review procedures (PRISMA 2020), the analysis compares global and Indonesian findings. The study includes RCTs and quasi-experiments across K-12 and higher education, focusing on student motivation measured by validated instruments. The methodology involved comprehensive searches across international (Scopus, ERIC, PubMed, ProQuest, DOAJ) and Indonesian (Garuda, SINTA) databases, followed by strict application of inclusion criteria aligned with the PICOS framework. Effect sizes were computed using Hedges’ g, with corrections for small sample bias. Moderator analyses explored the influence of app features (gamification, AR, adaptivity), educational level, regional context, and measurement instruments on motivational outcomes. Results show that mobile learning has a positive effect on student motivation, with stronger effects observed in Indonesian studies. Applications that feature adaptive learning, gamification, or AR yield greater motivational benefits. The findings are consistent across studies, suggesting robust evidence for the positive role of mobile learning. These findings are discussed within Self-Determination Theory and the ARCS model, highlighting the importance of culturally responsive and participatory design. The study acknowledges methodological limitations and suggests practical directions for inclusive and scalable mobile learning. The study concludes by advocating for scalable, inclusive mobile learning solutions that integrate motivational frameworks and cultural adaptability.
References
Bailey, D., Almusharraf, N., & Hatcher, R. (2020). Finding Satisfaction: Intrinsic Motivation for Synchronous and Asynchronous Communication in the Online Language Learning Context. Education and Information Technologies, 26(3), 2563–2583. https://doi.org/10.1007/s10639-020-10369-z DOI: https://doi.org/10.1007/s10639-020-10369-z
Conradty, C., & Bogner, F. X. (2020). STEAM Teaching Professional Development Works: Effects on Students’ Creativity and Motivation. Smart Learning Environments, 7(1). https://doi.org/10.1186/s40561-020-00132-9 DOI: https://doi.org/10.1186/s40561-020-00132-9
Criollo-C, S., Abad-Vásquez, D., Martic-Nieto, M., Velásquez-G, F. A., Pérez-Medina, J.-L., & Luján‐Mora, S. (2021). Towards a New Learning Experience Through a Mobile Application With Augmented Reality in Engineering Education. Applied Sciences, 11(11), 4921. https://doi.org/10.3390/app11114921 DOI: https://doi.org/10.3390/app11114921
Criollo-C, S., Govea, J., Játiva, W., Pierrottet, J., Guerrero-Arias, A., Jaramillo-Alcázar, Á., & Luján‐Mora, S. (2023). Towards the Integration of Emerging Technologies as Support for the Teaching and Learning Model in Higher Education. Sustainability, 15(7), 6055. https://doi.org/10.3390/su15076055 DOI: https://doi.org/10.3390/su15076055
Dehkordi, A. H. (2016). Self-Care Concept Analysis in Cancer Patients: An Evolutionary Concept Analysis. Indian Journal of Palliative Care, 22(4), 388. https://doi.org/10.4103/0973-1075.191753 DOI: https://doi.org/10.4103/0973-1075.191753
Dhakal, B. P. (2023). Digital Pedagogy: An Effective Model for 21st Century Education. Academic Journal of Mathematics Education, 5(1), 1–9. https://doi.org/10.3126/ajme.v5i1.54534 DOI: https://doi.org/10.3126/ajme.v5i1.54534
Durso, S. d. O., Reginato, L., & Cornacchione, E. B. (2020). Gamification in Accounting and Students’ Skillset. Advances in Scientific and Applied Accounting, 079–100. https://doi.org/10.14392/asaa.2019120305 DOI: https://doi.org/10.14392/ASAA.2019120305
Escandell, S., & Chu, T. L. (2021). Implementing Relatedness-Supportive Teaching Strategies to Promote Learning in the College Classroom. Teaching of Psychology, 50(4), 441–447. https://doi.org/10.1177/00986283211046873 DOI: https://doi.org/10.1177/00986283211046873
Eslit, E. R. (2023). Intrinsic and Extrinsic Motivation in College Language and Literature Courses: Nurturing Lifelong Learning in a Blended Learning Modality. https://doi.org/10.20944/preprints202307.0040.v1 DOI: https://doi.org/10.20944/preprints202307.0040.v1
Göksu, İ., & Bolat, Y. (2020). Does the ARCS Motivational Model Affect Students’ Achievement and Motivation? A Meta‐analysis. Review of Education, 9(1), 27–52. https://doi.org/10.1002/rev3.3231 DOI: https://doi.org/10.1002/rev3.3231
Khan, T., Johnston, K., & Ophoff, J. (2019). The Impact of an Augmented Reality Application on Learning Motivation of Students. Advances in Human-Computer Interaction, 2019, 1–14. https://doi.org/10.1155/2019/7208494 DOI: https://doi.org/10.1155/2019/7208494
Kim, H., & Suh, E. E. (2018). The Effects of an Interactive Nursing Skills Mobile Application on Nursing Students’ Knowledge, Self-Efficacy, and Skills Performance: A Randomized Controlled Trial. Asian Nursing Research, 12(1), 17–25. https://doi.org/10.1016/j.anr.2018.01.001 DOI: https://doi.org/10.1016/j.anr.2018.01.001
Kumar, R. (2022). E-Learning Programs in Executive Education: Effects of Perceived Quality and Perceived Value on Self-Regulation and Motivation. Higher Education Skills and Work-Based Learning, 12(6), 1025–1039. https://doi.org/10.1108/heswbl-07-2022-0149 DOI: https://doi.org/10.1108/HESWBL-07-2022-0149
Lee, J. X., Azman, A. H. A., Ng, J. Y., & Ismail, N. A. S. (2023). Open Distance Learning in Medical Education: Does It Improve Students’ Motivation? Sage Open, 13(1). https://doi.org/10.1177/21582440231157687 DOI: https://doi.org/10.1177/21582440231157687
Lim, L., Lim, S. H., & Lim, W. Y. (2022). A Rasch Analysis of Students’ Academic Motivation Toward Mathematics in an Adaptive Learning System. Behavioral Sciences, 12(7), 244. https://doi.org/10.3390/bs12070244 DOI: https://doi.org/10.3390/bs12070244
Montilla, V. R., Rodriguez, R. M., Aliazas, J. V., & Gimpaya, R. (2023). Teachers’ Pedagogical Digital Competence as Relevant Factors on Academic Motivation and Performance in Physical Education. International Journal of Scientific and Management Research, 06(06), 45–58. https://doi.org/10.37502/ijsmr.2023.6604 DOI: https://doi.org/10.37502/IJSMR.2023.6604
Nikou, S. A., & Economides, A. A. (2018). Mobile‐Based Micro‐Learning and Assessment: Impact on Learning Performance and Motivation of High School Students. Journal of Computer Assisted Learning, 34(3), 269–278. https://doi.org/10.1111/jcal.12240 DOI: https://doi.org/10.1111/jcal.12240
Penger, S., & Oswald, F. (2017). A New Measure of Mobility-Related Behavioral Flexibility and Routines in Old Age. Geropsych, 30(4), 153–163. https://doi.org/10.1024/1662-9647/a000176 DOI: https://doi.org/10.1024/1662-9647/a000176
Power, R., Cristol, D., Gimbert, B., Bartoletti, R., & Kilgore, W. (2016). Using the mTSES to Evaluate and Optimize mLearning Professional Development. The International Review of Research in Open and Distributed Learning, 17(4). https://doi.org/10.19173/irrodl.v17i4.2459 DOI: https://doi.org/10.19173/irrodl.v17i4.2459
Pribadi, B. A., Limbong, A. M. N., Karim, M. F., & Kadarisman, K. (2021). Implementing the Arcs Motivational Instructional Design Model to Improve Learning Support of Distant Learning Students. Akademika, 10(02), 393–403. https://doi.org/10.34005/akademika.v10i02.1455 DOI: https://doi.org/10.34005/akademika.v10i02.1455
Radhamani, R., Kumar, D., Nizar, N., Achuthan, K., Nair, B. G., & Diwakar, S. (2021). What Virtual Laboratory Usage Tells Us About Laboratory Skill Education Pre- And Post-Covid-19: Focus on Usage, Behavior, Intention and Adoption. Education and Information Technologies, 26(6), 7477–7495. https://doi.org/10.1007/s10639-021-10583-3 DOI: https://doi.org/10.1007/s10639-021-10583-3
Refat, N., Hafizoah, K., Rahman, Md. A., & Razali, R. (2020). Measuring Student Motivation on the Use of a Mobile Assisted Grammar Learning Tool. Plos One, 15(8), e0236862. https://doi.org/10.1371/journal.pone.0236862 DOI: https://doi.org/10.1371/journal.pone.0236862
Rudenko, E. S., Sagajdachnaya, E., & Shamraeva, K. (2021). Motivational Component of Educational Activity in the Context of a New Educational Network Paradigm. E3s Web of Conferences, 273, 12063. https://doi.org/10.1051/e3sconf/202127312063 DOI: https://doi.org/10.1051/e3sconf/202127312063
Safana, M., Zuhdi, M., & ââ¬ËArdhuha, J. (2021). Development of Learning Devices Based on Discovery Learning Model on Global Warming Topic to Improve Student Learning Motivation and Outcome. Jurnal Pijar Mipa, 16(4), 492–497. https://doi.org/10.29303/jpm.v16i4.2845 DOI: https://doi.org/10.29303/jpm.v16i4.2845
Santi, N., Muchtar, Z., & Sudrajat, A. (2019). Developing Mobile Learning Media Integrated of Problem Based Learning in Chemical Equilibrium Materials at Unimed Chemical Education Study Program. https://doi.org/10.2991/aisteel-19.2019.115 DOI: https://doi.org/10.2991/aisteel-19.2019.115
Schirmer, M., Sorge, M., Mayer, C., Stöver, W., Nitsch, V., & Niewöhner, S. M. (2022). Motivational Design of an E-Learning Application for Managers in Healthcare. https://doi.org/10.54941/ahfe1002412 DOI: https://doi.org/10.54941/ahfe1002412
Shannon, S., Brennan, D., Hanna, D., Younger, Z., Hassan, J., & Breslin, G. (2018). The Effect of a School-Based Intervention on Physical Activity and Well-Being: A Non-Randomised Controlled Trial With Children of Low Socio-Economic Status. Sports Medicine - Open, 4(1). https://doi.org/10.1186/s40798-018-0129-0 DOI: https://doi.org/10.1186/s40798-018-0129-0
Susanti, D., Sari, L. Y., & Fitriani, V. (2022). Increasing Student Learning Motivation Through the Use of Interactive Digital Books Based on Project Based Learning (PjBL). Jurnal Penelitian Pendidikan Ipa, 8(4), 2022–2028. https://doi.org/10.29303/jppipa.v8i4.1669 DOI: https://doi.org/10.29303/jppipa.v8i4.1669
Wahyuni, S., Novitasari, Y., Suharni, S., & Reswita, R. (2023). The Effect of Digital Literacy-Based Learning on Student Motivation and Socialization Ability. Consilium Berkala Kajian Konseling Dan Ilmu Keagamaan, 9(2), 88. https://doi.org/10.37064/consilium.v9i2.13454 DOI: https://doi.org/10.37064/consilium.v9i2.13454
Xin, L. J., Hathim, A. A. A., Yi, N.-Y., Reiko, A., & Shareela, I. N. A. (2021). Digital Learning in Medical Education: Comparing Experiences of Malaysian and Japanese Students. BMC Medical Education, 21(1). https://doi.org/10.1186/s12909-021-02855-w DOI: https://doi.org/10.1186/s12909-021-02855-w
Yahiaoui, F., Aichouche, R., Chergui, K., Brika, S. K. M., Almezher, M., Musa, A. A., & Lamari, I. A. (2022). The Impact of E-Learning Systems on Motivating Students and Enhancing Their Outcomes During COVID-19: A Mixed-Method Approach. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.874181 DOI: https://doi.org/10.3389/fpsyg.2022.874181
Zigbuo-Wenzler, E., Magwood, G., Mueller, M., & Fraser, A. (2020). Establishing Content Validity for a Conceptualized Instrument to Measure Barriers to Eating a Healthful Diet in Adults: A Consensus Approach. BMC Health Services Research, 20(1). https://doi.org/10.1186/s12913-020-4890-7 DOI: https://doi.org/10.1186/s12913-020-4890-7
Нагаева, И. А. (2020). Learning Models in Sustainable Education. E3s Web of Conferences, 208, 09006. https://doi.org/10.1051/e3sconf/202020809006 DOI: https://doi.org/10.1051/e3sconf/202020809006
