Extending the Technology Acceptance Model with Multimedia Richness: Predicting Students’ Intention to Continue in Mobile-Based Distance Learning
Keywords:
Mobile Learning, Multimedia Richness, Perceived Usefulness, Sustainability Intention, Technology Acceptance ModelAbstract
Mobile-based distance learning is increasingly being implemented in higher education; however, the sustainability of platform usage remains a challenge because students do not always maintain engagement after the initial adoption phase. This study aims to analyze the influence of multimedia richness on students’ intention to continue using mobile learning by extending the Technology Acceptance Model (TAM) framework. The study employed a quantitative approach with a cross-sectional survey design involving 250 active mobile learning users among Indonesian university students. Data were collected via a 5-point Likert scale questionnaire and analyzed using PLS-SEM through SmartPLS 4. The results indicate that multimedia richness significantly influences perceived usefulness (β = 0.389; t = 6.241; p < 0.001) and perceived ease of use (β = 0.569; t = 10.832; p < 0.001). Perceived usefulness significantly influences sustainability intention (β = 0.412), while perceived ease of use also significantly influences it (β = 0.238). Additionally, multimedia richness has a direct effect on sustainability intention (β = 0.152; p = 0.016). Mediation analysis indicates that perceived usefulness and perceived ease of use partially mediate the relationship between multimedia richness and sustainability intention, with a total indirect effect of 0.295. The research model explains 58.3% of the variation in students’ sustainability intention. These findings confirm that multimedia richness is a key factor in enhancing perceived ease of use, perceived usefulness, and the sustainability of mobile learning use.Keywords: multimedia richness, Technology Acceptance Model, mobile learning, perceived usefulness, perceived ease of use, sustainability intention.
References
Abusamra, A., Muhtaseb, K., & Awawdeh, R. (2025). Social Sciences & Humanities Open How should E-learning be conceptualized in the context of higher education in MENA region ? Social Sciences & Humanities Open, 12(05), 101808. https://doi.org/10.1016/j.ssaho.2025.101808
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(7893), 1–22. https://doi.org/10.3390/ su13147893
Alanazi, A., Elias, N. F., Mohamed, H., & Sahari, N. (2026). Exploring Mobile Learning Adoption in Higher Education : A UTAUT2-Based Study with Technostress and Exhaustion as Mediators in Student Engagement. Sustainability, 18(1353), 1–31. https://doi.org/10.3390/su18031353
Alshaikh, R., Al-malki, N., & Almasre, M. (2024). The implementation of the cognitive theory of multimedia learning in the design and evaluation of an AI educational video assistant utilizing large language models. Heliyon, 10(3), e25361. https://doi.org/10.1016/j.heliyon.2024.e25361
Alsyouf, A., Lutfi, A., Alsubahi, N., Alhazmi, F. N., & Al-mugheed, K. (2023). The Use of a Technology Acceptance Model (TAM) to Predict Patients ’ Usage of a Personal Health Record System : The Role of Security , Privacy , and Usability. Internatuonal Journal of Environmental Reseach and Public Health, 20(1347), 1–24. https://doi.org/10.3390/ijerph20021347
Alyoussef, I. Y. (2023). Acceptance of e-learning in higher education : The role of task-technology fit with the information systems success model. Heliyon, 9(3), e13751. https://doi.org/10.1016/j.heliyon.2023.e13751
Amanina, N., Zaidatun, B., Kew, T., & Na, S. (2023). Innovative pedagogical principles and technological tools capabilities for immersive blended learning : a systematic literature review. Education and Information Technologies, 3(4), 1373–1425. https://doi.org/https://doi.org/10.1007/s10639-022-11243-w
Ananda, Y. F., Giatman, M., & Effendi, H. (2024). Emerging Trends and Impacts of Mobile Learning in Education : A Bibliometric Analysis. Jurnal Penelitian Pendidikan IPA, 10(11), 806–817. https://doi.org/10.29303/jppipa.v10i11.9112
Aulia, H., Hafeez, M., Mashwani, H. U., & Careemdeen, J. D. (2024). The Role of Interactive Learning Media in Enhancing Student Engagement and Academic Achievement. International Seminar on Student Research in Education, Science, and Technology, 1(4), 57–67. https://doi.org/10.37296/jpi.v5i1.149
Bakirova, Z., Tasova, A., Absatova, M., Sadirbekova, D., Auezov, B., & Meirbekova, G. (2026). Enhancing digital competence and learning motivation of master ’ s students : a new educational model for Kazakhstan ’ s higher education system. Frontiers in Education, 12(02), 1–19. https://doi.org/10.3389/feduc.2026.1675872
Bégin, C., Berthod, J., Zamora, L., & Manon, M. (2022). Use of Mobile Apps and Online Programs of Mindfulness and Self ‑ Compassion Training in Workers : A Scoping Review. Journal of Technology in Behavioral Science, 7(22), 477–515. https://doi.org/10.1007/s41347-022-00267-1
Bera, S., & Bhattacharya, S. (2024). Exploring the importance of mobile app attributes based on consumers’ voices using structured and unstructured data. IIM Ranchi Journal of Management Studies, 3(1), 4–24. https://doi.org/10.1108/irjms-11-2022-0109
Bradley, L., Bartram, L., Al-Sabbagh, K. W., & Algers, A. (2023). Designing mobile language learning with Arabic speaking migrants. Interactive Learning Environments, 31(1), 514–526. https://doi.org/10.1080/10494820.2020.1799022
Candido, V., & Cattaneo, A. (2025). Applying cognitive theory of multimedia learning principles to augmented reality and its effects on cognitive load and learning outcomes. Computers in Human Behavior Reports, 18(05), 100678. https://doi.org/10.1016/j.chbr.2025.100678
Çeken, B., & Taşkın, N. (2022). Multimedia learning principles in different learning environments: a systematic review. Smart Learning Environments, 9(1), 2–22. https://doi.org/10.1186/s40561-022-00200-2
Chen, T., Luo, H., Feng, Q., & Li, G. (2023). Effect of Technology Acceptance on Blended Learning Satisfaction : The Serial Mediation of Emotional Experience , Social Belonging , and Higher-Order Thinking. International Journal of Environmental Research and Public Health Article, 20(4442), 1–15. https://doi.org/10.3390/ijerph20054442
Cohn, C., Snyder, C., Fonteles, J. H., Ashwin, T. S., Montenegro, J., & Biswas, G. (2024). A multimodal approach to support teacher, researcher and AI collaboration in STEM+C learning environments. British Journal of Educational Technology, 20(08), 595–620. https://doi.org/10.1111/bjet.13518
Drolia, M., Papadakis, S., Sifaki, E., & Kalogiannakis, M. (2022). Mobile Learning Applications for Refugees: A Systematic Literature Review. Education Sciences, 12(2), 2–16. https://doi.org/10.3390/educsci12020096
Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-navarrete, S., Giannakis, M., Al-debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., Conboy, K., Doyle, R., Dubey, R., Dutot, V., Felix, R., Goyal, D. P., Gustafsson, A., Hinsch, C., Jebabli, I., … Fosso, S. (2022). Metaverse beyond the hype : Multidisciplinary perspectives on emerging challenges , opportunities , and agenda for research , practice and policy. International Journal of Information Management, 66(06), 102542. https://doi.org/10.1016/j.ijinfomgt.2022.102542
El-Sabagh, H. A. (2021). Adaptive e-learning environment based on learning styles and its impact on development students’ engagement. International Journal of Educational Technology in Higher Education, 18(1), 2–24. https://doi.org/10.1186/s41239-021-00289-4
Faudzi, M. A., Cob, Z. C., Ghazali, M., Omar, R., & Sharudin, S. A. (2024). User Interface Design in Mobile Learning Applications: Developing and Evaluating a Questionnaire for Measuring Learners’ Extraneous Cognitive Load. Heliyon, 10(18), e37494. https://doi.org/10.1016/j.heliyon.2024.e37494
Firdaus, R., Abdullah, Y., Abadi, S., Adnan, M. H. M., Nursari, S. R. C., & Dewi, D. A. (2024). Wireless Local Area Network and Analytical Hierarchy Process: Technology Acceptance Model for Increasing Use of Online Learning. Journal of Advanced Research in Applied Sciences and Engineering Technology, 47(1), 29–38. https://doi.org/10.37934/araset.47.1.2938
Fitas, R. (2025). Inclusive education with AI : supporting special needs and tackling language barriers. AI and Ethics, 5(2), 5729–5757. https://doi.org/10.1007/s43681-025-00824-3
Fokides, E., & Antonopoulos, P. (2024). Development and testing of a model for explaining learning and learning-related factors in immersive virtual reality. Computers & Education: X Reality, 4(09), 100048. https://doi.org/10.1016/j.cexr.2023.100048
Fuadiy, M. R., Rozi, M. A. F., Arafah, N. N., & Kamal, L. (2025). Mapping the Digital Transformation of Education in Indonesia from 2012 to early 2025 : A Bibliometric Analysis of Scopus-Indexed Publications. Yayasan Centre for Studying and Milieu Development of Indonesia (CESMiD) Mapping, 3(2), 277–303. https://doi.org/10.70376/jerp.v3i2.390
Garlinska, M., Osial, M., Proniewska, K., & Pregowska, A. (2023). The Influence of Emerging Technologies on Distance Education. Electronics (Switzerland), 12(7), 2–29. https://doi.org/10.3390/electronics12071550
Ginting, D., Woods, R. M., Barella, Y., Satya, L., Madkur, A., & How, H. E. (2024). The Effects of Digital Storytelling on the Retention and Transferability of Student Knowledge. SAGE Open, 06(09), 1–17. https://doi.org/10.1177/21582440241271267
Godsk, M., & Møller, K. L. (2024). Engaging students in higher education with educational technology. In Education and Information Technologies (Vol. 30, Issue 3). Springer US. https://doi.org/10.1007/s10639-024-12901-x
González Enríquez, I., Cutuli, M. S., & Cáceres, O. I. M. (2023). Enhancing Collaborative Learning in Higher Education through Podcast Production: An Experiential Approach with Anthropology and Tourism Students. Education Sciences, 13(9), 2–16. https://doi.org/10.3390/educsci13090898
Haleem, A., Javaid, M., Asim, M., & Suman, R. (2022). Understanding the role of digital technologies in education : A review. Sustainable Operations and Computers, 3(05), 275–285. https://doi.org/10.1016/j.susoc.2022.05.004
Hattie, L. D., Sahlberg, C. W., & Pedro, P. (2023). Impact of Mobile Learning Apps on Study Habits and Academic Performance of College Students in the United States : A Review of Literature. Journal of Education, 6(3), 13–22. https://doi.org/10.53819/81018102t4182
Hidayat, H., Zainuddin, Z., Anwar, M., Saputra, H. K., & Muji, A. P. (2024). The Impact of the Learning Mobile Application on Student Performance Using the Technology Acceptance Model. International Journal of Information and Education Technology, 14(5), 657–667. https://doi.org/10.18178/ijiet.2024.14.5.2090
Hu, Y., Muhammad, S., & Xu, P. (2026). Smart learning environments and student engagement : A structural equation modeling study of psychological safety , learning motivation , and willingness to communicate. Acta Psychologica, 264(02), 2–9. https://doi.org/10.1016/j.actpsy.2026.106462
Huang, Z., Li, Z., Wang, L., & Liu, H. (2024). Digital education for graduate students : literacy and skills development A case study of non-linear control systems course. Frontiers in Education, 11(07), 01–12. https://doi.org/10.3389/feduc.2025.1601717
Ibrahim, F., Münscher, J., Daseking, M., & Telle, N. (2025). The technology acceptance model and adopter type analysis in the context of artificial intelligence. Frontiers in Artificial Intelligence, 3(01), 1–14. https://doi.org/10.3389/frai.2024.1496518
Jiang, S., Li, H., & Gan, D. (2025). Technology acceptance model for online education : identifying interdisciplinary topics and their evolution based on BERTopic model. Social Sciences & Humanities Open, 12(05), 101831. https://doi.org/10.1016/j.ssaho.2025.101831
Kabashkin, I. (2025). AI-Based Digital Twins of Students : A New Paradigm for Competency-Oriented Learning Transformation. Information, 16(846), 1–34. https://doi.org/10.3390/info16100846
Kelly, A. E., & Palaniappan, S. (2023). Using a technology acceptance model to determine factors influencing continued usage of mobile money service transactions in Ghana. Journal of Innovation and Entrepreneurship, 12(34), 1–24. https://doi.org/10.1186/s13731-023-00301-3
Laboone, P. A., & Marques, O. (2024). Overview of the future impact of wearables and artificial intelligence in healthcare workflows and technology. International Journal of Information Management Data Insights, 4(2), 100294. https://doi.org/10.1016/j.jjimei.2024.100294
Levin, I., Semenov, A. L., & Gorsky, M. (2025). Smart Learning in the 21st Century: Advancing Constructionism Across Three Digital Epochs. Education Sciences, 15(1), 1–22. https://doi.org/10.3390/educsci15010045
Li, F., Chen, J., Shao, T., & Sun, J. (2026). The impact of quality of information on classroom engagement with GenAI tools : integrating TAM and SOR framework. Frontiers in Psychology, 20(02), 01–12. https://doi.org/10.3389/fpsyg.2026.1756708
Li, Y., Chen, D., & Id, X. D. (2024). The impact of digital educational games on student ’ s motivation for learning : The mediating effect of learning engagement and the moderating effect of the digital environment. PLoS ONE, 19(1), 1–21. https://doi.org/10.1371/journal.pone.0294350
Lim, T., Gottipati, S., & Cheong, M. (2023). Technology-enabled Learning in Digital Education: Research Areas and Prediction Trends of Learning Technologies for Authentic Assessments Practices. Research Square, 1(4), 1–42. https://doi.org/10.21203/rs.3.rs-2696352/v1
Mahmudova, N., Parmonov, A., Turayev, A., & Izbullaeva, G. (2025). Leveraging Wearable Technologies and Embedded Systems to Improve Real-Time Student Engagement in Ubiquitous Learning Environments. Journal of Wireless Mobile Networks, 4(12), 136–150. https://doi.org/10.58346/JOWUA.2025.I4.008
Mariyono, D., & Nur Alif Hd, A. (2025). AI’s role in transforming learning environments: a review of collaborative approaches and innovations. Quality Education for All, 2(1), 265–288. https://doi.org/10.1108/QEA-08-2024-0071
Mayer, R. E. (2022). Multimedia l e a r n i n g. In Multimedia Learning (Vol. 41, pp. 1–55).
Minwuyelet, M., Kibret, M., & Melesse, S. (2024). Effect of using multimedia and dynamic classroom integrated instruction on grade 11 students ’ biology academic achievement. Heliyon, 10(18), e37315. https://doi.org/10.1016/j.heliyon.2024.e37315
Mohammadi, M., Tajik, E., Martinez-maldonado, R., Sadiq, S., Tomaszewski, W., & Khosravi, H. (2025). Computers and Education : Artificial Intelligence Artificial intelligence in multimodal learning analytics : A systematic literature review. Computers and Education: Artificial Intelligence, 8(12), 2–30. https://doi.org/10.1016/j.caeai.2025.100426
Mohammed, S., & Kinyo, L. (2023). Constructivist Theory As a Foundation for the Utilization of Digital Technology in The Lifelong Learning Process. Turkish Online Journal of Distance Education, 21(4), 90–109.
Muawanah, U., Marini, A., & Sarifah, I. (2024). The interconnection between digital literacy, artificial intelligence, and the use of E-learning applications in enhancing the sustainability of Regional Languages: Evidence from Indonesia. Social Sciences and Humanities Open, 10(5), 101169. https://doi.org/10.1016/j.ssaho.2024.101169
Najmi, M., Sinaga, A., Kuswandi, D., & Fadhli, M. (2024). The role of mobile learning in improving 21st-century teacher competencies : A systematic literature review. Jurnal Inovasi Teknologi Pendidikan, 11(2), 219–231. https://doi.org/https://doi.org/10.21831/jitp.v11i2.69214
Nicmanis, M. (2024). Reflexive Content Analysis: An Approach to Qualitative Data Analysis, Reduction, and Description. International Journal of Qualitative Methods, 23(11), 1–12. https://doi.org/10.1177/16094069241236603
Nurtanto, M., Nawanksari, S., Lukad, V., & Sutrisno, P. (2025). Determinants of behavioral intentions and their impact on student performance in the use of AI technology in higher education in Indonesia : A SEM-PLS analysis based on TPB , UTAUT , and TAM frameworks. Social Sciences & Humanities Open, 11(05), 101638. https://doi.org/10.1016/j.ssaho.2025.101638
Park, S., Lee, S., & Sung, K. (2025). Toward Sustainable Integration of Digital Technology in Physical Education : A Teacher-Centered TAM – TPACK Framework for Instructional Design. Susrtainabillity, 17(1076), 1–19. https://doi.org/10.3390/su172310476
Parveen, S., & Ramzan, S. I. (2024). The Role of Digital Technologies in Education : Benefits and Challenges. International Research Journal on Advanced Engineering and Management, 02(06), 2029–2037. https://doi.org/10.47392/IRJAEM.2024.0299
Pedraja-rejas, L., Muñoz-fritis, C., Rodr, E., & Laroze, D. (2024). Applied sciences Mobile Learning and Its Effect on Learning Outcomes and Critical Thinking : A Systematic Review. Applied Sciences, 14(9105), 1–24. https://doi.org/10.3390/app14199105
Peláez, C. A., & Solano, A. (2023). A Practice for the Design of Interactive Multimedia Experiences Based on Gamification : A Case Study in Elementary Education. Susrtainabillity, 15(2385), 2–26. https://doi.org/10.3390/su15032385
Pinto, M., & Segura, A. (2025). Toward a conceptual framework on mobile information literacy in higher education. The Journal of Academic Librarianship, 51(3), 103051. https://doi.org/10.1016/j.acalib.2025.103051
Prakash, J., Firdous, D., & Sofal, A. (2026). TAM-TPACK Nexus : A Conceptual and Empirical Examination of Technology Acceptance Model (TAM) and Technological Pedagogical Content Knowledge (TPACK) in Teaching-Learning. International Journal for Multidisciplinary Research (IJFMR), 8(1), 1–13.
Qazi, A., Qazi, J., Naseer, K., Hasan, N., & Hardaker, G. (2024). M-Learning in education during COVID-19 : A systematic review of sentiment , challenges , and opportunities. Heliyon, 10(12), e32638. https://doi.org/10.1016/j.heliyon.2024.e32638
Qiu, X., Wu, J., & Li, H. (2026). Continuance intention to use mobile learning among college students : integrating quality factors and the expectation confirmation model. Scientific Reports, 16(5691), 1–18. https://doi.org/10.1038/s41598-026-35949-w
Rasyid, F. R., Ali, T., Puja, R., & Rasyid, F. R. (2025). Design and Development of Flash-Based Learning Media for Enhancing Students ’ Learning Interest Design and Development of Flash-Based Learning Media for Enhancing Students ’ Learning Interest. Digit. Learn. Soc. Sci. Life-Course Stud, 30(06), 1–17. https://doi.org/10.70211/disolife.v1i1.259
Rojek, I., Mikołajewski, D., Piszcz, A., & Małolepsza, O. (2025). Role of Generative AI in AI-Based Digital Twins in Industry 5 . 0 and Evolution to Industry 6 . 0. Applied Sciences (Switzerland), 15(10102), 2–23. https://doi.org/10.3390/app151810102
Saputra, A., Andayani, S., Metro, U. M., Noor, M., & Metro, U. M. (2025). Development of Interactive Learning Multimedia Based on Articulate Storyline 3 to Increase Student ’ s Interest in Learning English. EDU-IJ (International Journal of Education, Culture and Technology), 2(1), 38–49. https://doi.org/3048-3735- 3048-3743
Sartono, E. K. E., Yogyakarta, U. N., Sekarwangi, T., Yogyakarta, U. N., Herwin, H., & Yogyakarta, U. N. (2022). Interactive multimedia based on cultural diversity to improve the understanding of civic concepts and learning motivation. World Journal on Educational Technology: Current Issues, 14(2), 356–368. https://doi.org/10.18844/wjet.v14i2.6909
Siswadi, G. A. (2024). Education, Character, and Humanistic Pedagogy (Concept, Theory, and Applications) (Gede Agus, Issue 5). PT MAFY MEDIA LITERASI INDONESIA. https://www.researchgate.net/publication/380214622_EDUCATION_CHARACTER_AND_HUMANISTIC_PEDAGOGY_CONCEPT_THEORY_AND_APPLICATIONS
Staneviciene, E., & Žekien˙e, G. (2025). The Use of Multimedia in the Teaching and Learning Process of Higher Education : A Systematic Review. Sustainability, 17(8859), 1–26. https://doi.org/10.3390/ su17198859
Subbarao, A., Siddika, A., Fathullah, M. A., Azizi, M., & Sanwani, B. (2025). The Role of Mobile Applications in Shaping Digital Transformation in Higher Education Among Generation I : A Bibliographic Study. Information, 16(1026), 1–17. https://doi.org/10.3390/info16121026
Syafika, Y. Z., & Antonio, G. R. (2024). Impacts of the Technology Acceptance Model ( TAM ) on the Use of the TikTok E-Commerce Application among Indonesian Students. UTSAHA: Journal of Entrepreneurship, 3(4), 48–64. https://doi.org/10.56943/joe.v3i2.591
Tiaraningrum, D., Putri, I., & Ridwan, A. (2025). Applying Dual Coding and Cognitive Load Theory in Designing Hybrid Learning Materials for Eastern Art History. Organized by Art and Design Department, 6(8), 6–11. https://doi.org/0009-0007-3969-0677
Tuhuteru, L., Misnawati, D., Aslan, A., Taufiqoh, Z., & Imelda, I. (2023). The Effectiveness of Multimedia-Based Learning To Accelerate Learning After The Pandemic At The Basic Education Level. Tafkir: Interdisciplinary Journal of Islamic Education, 4(1), 128–141. https://doi.org/10.31538/tijie.v4i1.311
Wolniak, R. (2024). Evaluation of Quality of Innovative E-Learning in Higher Education : An Insight from Poland. Applied System Innovation, 7(109), 2–33. https://doi.org/10.3390/asi7060109
Wu, M.-H., Chen, C.-J., & Lee, H.-F. (2025). Effectiveness of Mobile-Based Learning for Nasogastric Tube Intubation Among Medical Students : A Randomized Controlled Trial. Healthcare, 13(7), 1–15. https://doi.org/10.3390/healthcare13050546
Yuan, R., Jalil, H. A., & Omar, M. K. (2025). Adopting strategies of mobile technology for assisted learning performance in higher education in China. Computers and Education Open, 8(09), 100263. https://doi.org/10.1016/j.caeo.2025.100263
Yüksel, A., Ömerustao˘glu, A., Filiz, A., Sayı, A. K., & Aydın, H. (2026). Sustainable Digital Learning in Higher Education : Insights from Student Analytics and Participation in BirDeHa. Sustainability, 18(4980), 1–20. https://doi.org/10.3390/su18104980
Zhu, S., Li, R., Ren, X., Huo, J., Tan, Q., Hu, X., Wang, L., Huang, L., & Luo, A. (2026). A latent profile analysis of artificial intelligence literacy among undergraduate nursing students : a cross-sectional study. BMC Nursing, 25(156), 2–13. https://doi.org/10.1186/s12912-026-04331-6
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