YouTube in Research Course Learning: Undergraduates’ Perspectives from a Quantitative Study
DOI:
https://doi.org/10.37134/jictie.vol12.1.10.2025Keywords:
YouTube, Learning Satisfaction, Subject Performance, Technology Adoption, QuantitativeAbstract
YouTube is a video-sharing site that allows users to watch and share video clips. Past studies have found that online videos, such as YouTube, have been widely used in learning in the classroom and are also commonly used in courses in addition to podcasts, wikis, and blogs. YouTube is also used to encourage self-learning and repetition, and is an educational instrument that improves learning innovatively and creatively. However, many educators would prefer to use technology in their teaching strategy. Educators can no longer remain in a comfort zone with traditional teaching methods, but instead, equip themselves with the latest knowledge and skills. This research explores the influence of system, interaction, and content factors on students' satisfaction with YouTube and their subject performance. Using a systematic sampling, the data were collected using a survey approach from the final-year undergraduate students at Universiti Teknologi MARA (UiTM), Negeri Sembilan. The structural equation modeling technique examined the research model based on the final data of 212 undergraduate students. The results indicate that system, interaction, and content factors statistically affect students' satisfaction. On the other hand, system and content factors significantly influence subject performance. The results of this study show that YouTube videos can stimulate creativity, student interest, satisfaction, and motivation. As implications, universities must plan and formulate targeted training and development programs for educators to ensure they remain relevant in fast-changing educational settings.
References
Al-Rahmi, W. M., Alzahrani, A. I., Yahaya, N., Alalwan, N., & Kamin, Y. B. (2020). Digital communication: Information and communication technology (ICT) usage for education sustainability. Sustainability, 12(12), 5052. https://doi.org/10.3390/su12125052
Alobaid, A. (2020). Smart multimedia learning of ICT: Role and impact on language learners’ writing fluency—YouTube online English learning resources as an example. Smart Learning Environments, 7(1), 24. https://doi.org/10.1186/s40561-020-00134-7
Amos, D. (2021). Planning education and “free-choice” learners: teaching the YouTube Classroom. Journal of Planning Education and Research, 0739456X211001949. https://doi.org/10.1177/0739456X211001949
Bailey, J. E., & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29(5), 530–545. https://doi.org/10.1287/mnsc.29.5.530
Binowo, K., Setiawan, A. N., Tallisha, R. P., Hidayanto, A. N., & Rahmatullah, B. (2024). Analysis of factors affecting user inclination to use virtual education exhibitions in the post-pandemic Covid-19 era: Case study in Indonesia. Electronic Journal of e-Learning, 22(3 Special Issue), 12–38. https://doi.org/10.34190/ejel.21.4.2993
Budiastuti, P., Khairudin, M., Santosa, B., & Rahmatullah, B. (2023). The use of personal learning environment to support an online collaborative strategy in vocational education pedagogy course. International Journal of Interactive Mobile Technologies, 17(2), 24–41. https://doi.org/10.3991/ijim.v17i02.34565.
Carrión-Martínez, J. J., Luque-de la Rosa, A., Fernandez-Cerero, J., & Montenegro-Rueda, M. (2020). Information and communications technologies (ICTs) in education for sustainable development: A bibliographic review. Sustainability, 12(8), 3288. https://doi.org/10.3390/su12083288
Cunningham, S., Craig, D., & Silver, J. (2016). YouTube, multichannel networks, and the accelerated evolution of the new screen ecology. Convergence, 22(4), 376–391. https://doi.org/10.1177/1354856516641620
Debra, S.O. (2010). Using video lectures to teach a graduate career development course. http://counselingoutfitters.com/vistas/vistas10/Article_35.pdf
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95. https://doi.org/10.1287/isre.3.1.60
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Enakrire, R. T. (2024). The usefulness of computer skills for enhanced teaching and learning among lecturers in an open distance e-learning (ODEL) environment. Education and Information Technologies, 1-16. https://doi.org/10.1007/s10639-024-12519-z
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
Ferguson, P., Siyanova-Chanturia, A., & Leeming, P. (2024). Impact of exercise format and repetition on learning verb-noun collocations. Language Teaching Research, 28(5), 1750-1776. https://doi.org/10.1177/13621688211038091
Ghafar, N. A., Rahmatullah, B., Razak, N. A., Muttallib, F. H. A., Adnan, M. H. M., & Sarah, L. L. (2023). Systematic literature review on digital courseware usage in Geography subjects for secondary school students. Journal of ICT in Education, 10(1), 26-39. https://doi.org/10.37134/jictie.vol10.1.3.2023
Hair, J., Black, W., Babin, B., & Anderson, R. (2019). Multivariate data analysis (8th Ed.). Cengage Learning.
Harper, L. M., James, E. D., Joo, S., & Kim, Y. (2023). System and content factors associated with college students’ adoption of YouTube for learning purposes. The Electronic Library, 41(5), 641–661. https://doi.org/10.1108/EL-04-2023-0083
Hassan, H., Rahmatullah, B., & Mohamad Nordin, N. (2014). Towards School Management System (SMS) success in teacher’s perception. Malaysian Online Journal of Educational Technology, 2(4), 50–60.
Howard, S. K., Tondeur, J., Ma, J., & Yang, J. (2021). What to teach? Strategies for developing digital competency in preservice teacher training. Computers & Education, 165, 104149. https://doi.org/10.1016/j.compedu.2021.104149
Johansson, C. (2021). YouTube podcasting, the new orality, and diversity of thought: Intermediality, media history, and communication theory as methodological approaches. Digital Human Sciences: New Objects-New Approaches, 253-284. https://doi.org/10.16993/bbk.k.
Kay, R. & Kletskin, I. (2012). Evaluating the use of problem-based video podcasts to teach mathematics in higher education. Computers & Education, 59(2), 619–627. https://doi.org/10.1016/j.compedu.2012.03.007
Kelly, S., Kaye, S. A., & Oviedo-Trespalacios, O. (2023). What factors contribute to the acceptance of artificial intelligence? A systematic review. Telematics and Informatics, 77, 101925. https://doi.org/10.1016/j.tele.2022.101925
Kline, R. B. (2005). Principle and practice of structural equation modeling. Guilford.
Kohler, S., & Dietrich, T. C. (2021). Potentials and limitations of educational videos on YouTube for science communication. Frontiers in Communication, 6, 581302. https://doi.org/10.3389/fcomm.2021.581302
Mayer, R. E. (2021). Evidence-based principles for how to design effective instructional videos. Journal of Applied Research in Memory and Cognition, 10(2), 229–240. https://doi.org/10.1016/j.jarmac.2021.03.007
Mohamad, A. I., Rahmatullah, B., Ibrahim, L. F. M., Saari, E. M., & Downing, K. J. (2022). Exploring parents' perception of online learning through a systematic literature review. Borneo International Journal, 5(1), 8–15.
Munaro, A. C., Hübner Barcelos, R., Francisco Maffezzolli, E. C., Santos Rodrigues, J. P., & Cabrera Paraiso, E. (2021). To engage or not engage? The features of video content on YouTube affecting digital consumer engagement. Journal of Consumer Behaviour, 20(5), 1336-1352. https://doi.org/10.1002/cb.1939
Musfeld, P., Souza, A. S., & Oberauer, K. (2023). Repetition learning is neither a continuous nor an implicit process. Proceedings of the National Academy of Sciences, 120(16), e2218042120. https://doi.org/10.1073/pnas.2218042120
Noetel, M., Griffith, S., Delaney, O., Sanders, T., Parker, P., del Pozo Cruz, B., & Lonsdale, C. (2021). Video improves learning in higher education: A systematic review. Review of Educational Research, 91(2), 204–236. https://doi.org/10.3102/0034654321990713
Noor, N. H. M. (2023). Course performance and retention in a massive open online course: A case study at Universiti Teknologi MARA. ASEAN Journal of Open and Distance Learning, 15(2), 111-123.
Nunnally, J. C. (1978). Psychometric theory. New York: McGraw-Hill.
Okoye, K., Hussein, H., Arrona-Palacios, A., Quintero, H. N., Ortega, L. O. P., Sanchez, A. L., ... & Hosseini, S. (2023). Impact of digital technologies upon teaching and learning in higher education in Latin America: An outlook on the reach, barriers, and bottlenecks. Education and Information Technologies, 28(2), 2291-2360. https://doi.org/10.1007/s10639-022-11214-1
Purnama, S., Ulfah, M., Ramadani, L., Rahmatullah, B., & Ahmad, I. F. (2022). Digital storytelling trends in early childhood education in Indonesia: A systematic literature review. Jurnal Pendidikan Usia Dini, 16(1), 17–31.
Ramirez, E. (2021). The need to provide students and educators with the tools to cross the digital divide. Pacific Journal of Technology Enhanced Learning, 3(1), 22–23. https://doi.org/10.24135/pjtel.v3i1.94
Sablić, M., Mirosavljević, A., & Škugor, A. (2021). Video-based learning (VBL)—past, present and future: An overview of the research published from 2008 to 2019. Technology, Knowledge and Learning, 26(4), 1061-1077. https://doi.org/10.1108/JARHE-07-2018-0156
Samuri, S.M., Abdul Ghani, H., Rahmatullah, B., & Ab Aziz, N. S. (2016). Sistem sokongan keputusan untuk menilai dan memantau prestasi guru: Kajian rintis di SMK Bachok, Kelantan. Journal of ICT in Education, 3, 55–72.
Sharma, L., & Srivastava, M. (2020). Teachers’ motivation to adopt technology in higher education. Journal of Applied Research in Higher Education, 12(4), 673-692. https://doi.org/10.1108/JARHE-07-2018-0156
Shoufan, A., & Mohamed, F. (2022). YouTube and education: A scoping review. IEEE Access, 10, 125576–125599. https://doi.org/10.1109/ACCESS.2022.3225419
Singh, K., Sharma, T., Yadav, A. L., & Rani, J. (2024, May). YTBlend: YouTube Video Recommendations System. In 2024 International Conference on Computational Intelligence and Computing Applications (ICCICA) (Vol. 1, pp. 323–328). IEEE. https://doi.org/10.1109/ICCICA60014.2024.10585169.
Tadbier, A. W., & Shoufan, A. (2021). Ranking educational channels on YouTube: Aspects and issues. Education and Information Technologies, 26, 3077-3096. https://doi.org/10.1080/10494820.2019.1695214
Tao, D., Fu, P., Wang, Y., Zhang, T., & Qu, X. (2022). Key characteristics in designing Massive Open Online Courses (MOOCs) for user acceptance: An application of the extended Technology Acceptance Model. Interactive Learning Environments, 30(5), 882–895. https://doi.org/10.1080/10494820.2019.1695214
Waluyo, B., & Bucol, J. L. (2021). The impact of gamified vocabulary learning using Quizlet on low-proficiency students. Computer-Assisted Language Learning, 22(1), 158-179.
Yoon, M., Lee, J., & Jo, I. H. (2021). Video learning analytics: Investigating behavioral patterns and learner clusters in video-based online learning. The Internet and Higher Education, 50, 100806. https://doi.org/10.1016/j.iheduc.2021.100806
Zhou, Q., Lee, C. S., Sin, S. C. J., Lin, S., Hu, H., & Fahmi Firdaus Bin Ismail, M. (2020). Understanding the use of YouTube as a learning resource: A social cognitive perspective. Aslib Journal of Information Management, 72(3), 339-359. https://doi.org/10.1108/AJIM-10-2019-0290
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Nurul Hidayana Mohd Noor, Nur Batrisyia Nordin, Hasnatulsyakhira Abdullah Hadi, Nurin Farzana Mohamad Fadzil, Afief El Ashfahany
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
