Continuance Intention of Massive Open Online Course Learners in Higher Education: A Sustainable Development Initiative

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Nelson B. Guillen Jr.


         This study focuses on higher education institutions in Metro Manila, Philippines, with their initiative to use and adopt Massive Open Online Courses (MOOCs) by analyzing the continuance intention to use MOOC platforms among students or learners. This recently gained popularity due to emergency remote learning in Metro Manila, the pandemic’s epicenter. This study also aims to understand the transformative impact of MOOC education on traditional and online learning. In addition, the study utilized survey research with 122 MOOC learners via purposive sampling, given the nature and composition of the respondents. The data collected were analyzed using the structural equation modeling-path analysis to substantiate the hypotheses using the extended Technology Acceptance Model. The relationship between attitude to continuance intention and continuance intention to transformative impact was significant. However, perceived usefulness, perceived ease of use, and motivation were insignificant. It can be implied from the study the changing values of learners and students during the pandemic. Learning should not be an option but a way of life regardless of the circumstances and complement traditional learning. Finally, the study shows that the integration of MOOCs is the next big thing in global education, an impact on the school’s contribution to sustainable development goals through MOOC coverage by identifying the continuance intention among students and learners.


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Guillen Jr., N. B. (2022). Continuance Intention of Massive Open Online Course Learners in Higher Education: A Sustainable Development Initiative. SEISENSE Business Review, 2(1), 67–79.

Copyright (c) 2022 Nelson B. Guillen Jr.

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Abdul Rahman, N. S., Wan Zainal Adli, N. S., Mat Raffei, A. F., & Ismail, N. S. N. (2020). Factors Determination MOOCs Continuance Intention: A Proposed Conceptual Framework. IOP Conference Series: Materials Science and Engineering, 769(1). DOI:

Ajibade, P. (2019). Technology acceptance model limitations and criticisms: Exploring the practical applications and use in technology-related studies, mixed-method, and qualitative researches. Library Philosophy and Practice, 2019.

Anand Shankar Raja, M., & Kallarakal, T. K. (2021). “COVID-19 and students perception about MOOCs” a case of Indian higher educational institutions. Interactive Technology and Smart Education, 18(3), 450–474. DOI:

Ayoub, A., Amin, R., & Wani, Z. A. (2020). Contribution of developed countries towards MOOCs: an exploration and assessment from a representative platform Coursera. Asian Association of Open Universities Journal, 15(2), 251–262. DOI:

Bilges, D. (2013). Faculty Perceptions of the Benefits and Costs of Participation in Opencourseware and their Sense of Institutional Sustainability. In UMI Dissertation Publishing.

Biswas, S. (2020). MOOC : Challenges & Prospects in Indian Higher Education. Journal of Informational and Computational Science, 10(2), 1015–1024.

Bordoloi, R., Das, P., & Das, K. (2020). Lifelong learning opportunities through MOOCs in India. Asian Association of Open Universities Journal, 15(1), 83–95. DOI:

Bordoloi, R., Das, P., & Das, K. (2021). Perception towards online/blended learning at the time of Covid-19 pandemic: an academic analytics in the Indian context. Asian Association of Open Universities Journal, 16(1), 41–60. DOI:

Chisita, C. T., & Tsabedze, V. W. (2020). Massive open online courses (MOOCs): a tool for intercontinental collaboration in archives and records management education in Eswatini. Records Management Journal, 31(2), 158–175. DOI:

Clarke, T. (2013). The advance of the MOOCs (massive open online courses): The impending globalisation of business education? Education and Training, 55(4), 403–413. DOI:

Darbishire, P., Schoelles-Williams, J., Petrelli, H. M. W., & Van Amburgh, J. (2020). The COVID-19 pandemic across the academy challenges to pharmacy school enrollment management caused by a global pandemic. American Journal of Pharmaceutical Education, 84(6), 660–663. DOI:

de Koning, R., Egiz, A., Kotecha, J., Ciuculete, A. C., Ooi, S. Z. Y., Bankole, N. D. A., Erhabor, J., Higginbotham, G., Khan, M., Dalle, D. U., Sichimba, D., Bandyopadhyay, S., & Kanmounye, U. S. (2021). Survey Fatigue During the COVID-19 Pandemic: An Analysis of Neurosurgery Survey Response Rates. Frontiers in Surgery, 8(August), 1–7. DOI:

Fasulo, L. (2021). The 2030 Agenda for Sustainable Development. An Insider’s Guide to the UN, 4(Sdg 4), 190–211. DOI:

Gordon, B. (2016). Marketing Scales Handbook (Vol. 5).

Guillen, N. B. (2021). Adherence to Quarantine Protocols to Prevent the Spread of COVID-19: The Moderating Effect of Social Media Campaigns. Advances in Journalism and Communication, 09(03), 85–101. DOI:

Gupta, V., & Jain, N. (2017). Harnessing information and communication technologies for effective knowledge creation: Shaping the future of education. Journal of Enterprise Information Management, 30(5), 831–855. DOI:

Hawking, S. (2013). A brief history of MOOCs. McGill University.

HK. Abdullah, A. A. A. S. (2015). MOOCs: a differentiation by pedagogy, content and assessment. The International Journal of Information and Learning Technology, 32(2), 82–93.

Huang, R., Li, B., & Zhou, L. (2016). Information literacy instruction in Chinese universities: MOOCs versus the traditional approach. Library Hi Tech, 34(2), 286–300. DOI:

Hueske, A. K., Aggestam Pontoppidan, C., & Iosif-Lazar, L. C. (2022). Sustainable development in higher education in Nordic countries: exploring E-Learning mechanisms and SDG coverage in MOOCs. International Journal of Sustainability in Higher Education, 23(1), 196–211. DOI:

Hussein, Z. (2017). Leading to Intention: The Role of Attitude in Relation to Technology Acceptance Model in E-Learning. Procedia Computer Science, 105(December 2016), 159–164. DOI:

Juaneda-Ayensa, E., Mosquera, A., & Murillo, Y. S. (2016). Omnichannel customer behavior: Key drivers of technology acceptance and use and their effects on purchase intention. Frontiers in Psychology, 7(JUL), 1–11. DOI:

Kaur, R. (2019). MOOCs IN HIGHER EDUCATION: CHALLENGES AND OPPURTUNITIES. International Journal of 3600Management Review , 7(May), 115–118.

Ketchen, D. J. (2013). A Primer on Partial Least Squares Structural Equation Modeling. Long Range Planning, 46(1-2), 184–185. doi:10.1016/j.lrp.2013.01.002 DOI:

Kundu, A., & Bej, T. (2020). Perceptions of MOOCs among Indian State University students and teachers. Journal of Applied Research in Higher Education, 12(5), 1095–1115. DOI:

Liu, Y. (2014). Motivation and Attitude: Two Important Non-Intelligence Factors to Arouse Students’ Potentialities in Learning English. Creative Education, 05(14), 1249–1253. DOI:

Malatji, W. R., van Eck, R., & Zuva, T. (2020). Understanding the usage, modifications, limitations and criticisms of technology acceptance model (TAM). Advances in Science, Technology and Engineering Systems, 5(6), 113–117. DOI:

Mayer, K. (2016). What makes a successful digital wellness tool? Ebn.Benefitsnews.Com, July, 1.

Pasha, A., Abidi, S. H., & Ali, S. (2016). Challenges of offering a MOOC from an LMIC. International Review of Research in Open and Distance Learning, 17(6), 221–228. DOI:

Peterson, R. (1994). A Meta-Analysis of Cronbach’s Coefficient Alpha. Journal of Consumer Research. (21) 381-391 DOI:

Rumsey, D. J. (2010). Statistics Essentials for Dummies. J. Wiley and Sons Ltd.

Shah, D., Pickard, L., & Ma, R. (2022). Massive List of MOOC Platforms Around The World in 2022. 1–49.

Suplico-Jeong, L., Bautista, R. A., Guillen, N. B., & Murad, N. S. (2021). Adherence to quarantine protocols to prevent the spread of COVID-19: the mediating effect of intrinsic and extrinsic motivations. AEDS. DOI:

Thunderbird. (2022). 100 Million Learners Initiative. Arizona State University.

Vyas, L., & Butakhieo, N. (2020). The impact of working from home during COVID-19 on work and life domains: an exploratory study on Hong Kong. Policy Design and Practice, 4(1), 1–18. DOI:

Zaineldeen, S., Hongbo, L., Koffi, A. L., & Hassan, B. M. A. (2020). Technology acceptance model’ concepts, contribution, limitation, and adoption in education. Universal Journal of Educational Research, 8(11), 5061–5071. DOI:

Zheng, M., Chu, C.-C., & Wu, Y. J. (2018). Chapter 15 Online-to-Offline Teaching Reform in China: Outcomes-based Education. The Future of Innovation and Technology in Education: Policies and Practices for Teaching and Learning Excellence, 237–252. DOI: