Factors Associated with Intention to Recommend Online Course to Others
Keywords:
Intention to recommend, Online learner, Online course, KKU AcademyAbstract
This research examined online learners' opinions on online courses and factors associated with their intention to recommend online courses to others. Secondary data from 5,234 course evaluation forms were analyzed using descriptive and inferential statistics. Multiple logistic regression analysis was employed to identify the associated factors. The study found that most learners perceived the course's media materials as high quality (91.94%) and the quizzes as aligned with learning objectives (90.64%). After completing the course, a significant majority felt they learned a lot from the course (89.09%) and could apply the knowledge to their work or daily life (85.52%). More than two-thirds of the learners (71.86%) intended to recommend the course to others. It was found that learners who enjoyed the course (AOR=7.40; 95%CI=6.26-8.73) were statistically significantly more likely to intend to recommend online courses to others. Additionally, learners who perceived the course content as easy to understand, had high quality media materials, learned a lot from the course, met their learning goals, and could apply the knowledge to their work or daily life were also statistically significantly more likely to recommend online courses to others. Therefore, the development of online courses should consider the appropriate design of content and supporting media materials to effectively convey knowledge to learners. Moreover, the content should also meet learners' needs and be applicable to their daily lives, as these will increase the possibility of learners intending to recommend online courses to others.
References
Kotler, P. (2003). Marketing management, 11th edition, New Jersey: Prentice Hall.
Lake, L. (2010). Word-of-mouth marketing vs. viral marketing: What’s the difference?, URL: http://marketing.about.com/od/marketingmethods/a/womvsviral.htm, accessed on 28/10/2025.
Davis, F.D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Doctoral dissertation, Massachusetts Institute of Technology.
Lu, Y., Wang, B. and Lu, Y. (2019). Understanding key drivers of MOOC satisfaction and continuance intention to use, Journal of Electronic Commerce Research, vol. 20(2), pp. 105–117.
Blau, G., Hill, T.L. and Cannon, M. (2022). Course concept understanding and skill transfer as correlates of intent to recommend an experiential MBA non-profit governance course, Journal of Education for Business, vol. 98(3), June 2022, pp. 117–125.
Suriyapaiboonwattana, K. and Hone, K. (2025). Determinants of ThaiMOOC Engagement: A Longitudinal Perspective on Adoption to Continuance, Informatics, vol. 12(1), March 2025, pp. 31.
Ma, L., Sharif, S.P., Ray, A. and Khong, K.W. (2023). Investigating the relationships between MOOC consumers' perceived quality, emotional experiences, and intention to recommend: an NLP-based approach, Online Information Review, vol. 47(3), May 2023, pp. 582–603.
Ang, L., Breyer, Y.A. and Pitt, J. (2016). Course recommendation as a construct in student evaluations: will students recommend your course?, Studies in Higher Education, vol. 43(6), July 2016, pp. 944–959.
Littlefield, A. (2025). The psychology behind word-of-mouth marketing: Why we share, trust, and buy, URL: https://www.tremendous.com/blog/word-of-mouth-marketing-psychology/?utm_source=chatgpt.com#the-science-of-sharing-6-psychological-triggers, accessed on 27/10/2025.
Berger, J. (2014). Word of mouth and interpersonal communication: A review and directions for future research, Journal of consumer psychology, vol. 24(4), October 2014, pp. 586–607.
Cloke, H. (2023). How Dopamine Shapes Learning: Unveiling the Brain’s Secrets, Growth Engineering, URL: https://www.growthengineering.co.uk/dopamine-learning/?utm_source=chatgpt.com#elementor-toc__heading-anchor-10, accessed 27/10/2025.
Joo, Y.J., So, H.J. and Kim, N.H. (2018). Examination of relationships among students' self-determination, technology acceptance, satisfaction, and continuance intention to use K-MOOCs, Computers & education, vol. 122, July 2018, pp. 260–272.
นิชาภา นัคราภิบาล (2561). อิทธิพลการรับรู้ประโยชน์ ความน่าเชื่อถือ ความพึงพอใจที่ส่งผลต่อความตั้งใจซื้อซ้ำคอร์สเรียนออนไลน์, การค้นคว้าอิสระ ปริญญาบริหารธุรกิจมหาบัณฑิต, บัณฑิตวิทยาลัย, มหาวิทยาลัยกรุงเทพ.
Rogers, E.M. (2003). The diffusion of innovations, 5th edition. New York: The Free Press.
Chiu, F.R. and Chen, Y.K. (2025). Travelers' Accommodation Intention Towards Smart Hotels: A Two-Stage Analysis Using SEM and fsQCA, Tourism and hospitality management, vol. 31(3), November 2024, pp. 413–425.
Sever, S. (2023). The Role of Word-of-Mouth and Official Concerns in Student Course Selection, Journal of Policy Options, vol. 6(3), September 2023, pp. 21–25.
ธนบดินทร์ วงศ์แสงตา และ สุมามาลย์ ปานคำ (2567). ปัจจัยเชิงสาเหตุที่มีอิทธิพลต่อพฤติกรรมการซื้อคอร์สเรียนกราฟิกผ่านเพจเฟซบุ๊กของผู้บริโภคในกรุงเทพมหานครและปริมณฑล, วารสารสหวิทยาการมนุษยศาสตร์และสังคมศาสตร์, 7, พฤศจิกายน – ธันวาคม 2567, หน้า 3555–3572.
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