Abstracts
Abstract
The relationship between pricing and learning behavior is an important topic in research on massive open online courses (MOOCs). We report on two case studies where cohorts of learners were offered coupons for free certificates to explore how price reductions might influence behavior in MOOC-based online learning settings. In Case Study 1, we compare participation and certification rates between courses with and without free-certificate coupons. In the courses with a free-certificate track, participants signed up for the verified-certificate track at higher rates, and completion rates among verified students were higher than in the paid-certificate track courses. In Case Study 2, we compare learner behavior within the same courses by whether they received access to a free-certificate track. Access to free certificates was associated with lower certification rates, but overall, certification rates remained high, particularly among those who viewed the courses. These findings suggest that some incentives, other than simply the cost of paying for a verified-certificate track, may motivate learners to complete MOOCs.
Keywords:
- massive open online courses,
- online learning,
- price elasticity,
- distance learning,
- free coupons,
- learning analytics,
- MOOCs
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Bibliography
- Armstrong, L. (2014). Barriers to innovation and change in higher education. Retrieved from https://www.tiaainstitute.org/publication/barriers-innovation-and-change
- Baker, R., & Passmore, D. (2016). Value and pricing of MOOCs. Education Sciences, 6(2), 14. doi: 10.3390/educsci6020014
- Blazar, D. (2018). Validating teacher effects on students’ attitudes and behaviors: Evidence from random assignment of teachers to students. Education Finance and Policy, 13(3), 281-309. doi: 10.1162/edfp_a_00251
- Bonvillian, W., & Singer, S. (2013). The online challenge to higher education. Issues in Science and Technology, 29(4). Retrieved from https://issues.org/the-online-challenge-to-higher-education/
- Bryan, G. A., & Whipple, T. W. (1995). Tuition elasticity of the demand for higher education among current students: A pricing model. The Journal of Higher Education, 66(5), 560-574. doi: 10.2307/2943936
- Campbell, J., Gibbs, A. L., Najafi, H., & Severinski, C. (2014). A comparison of learner intent and behaviour in live and archived MOOCs. The International Review of Research in Open and Distributed Learning, 15(5). doi: 10.19173/irrodl.v15i5.1854
- Chuang, I., & Ho, A. (2016). HarvardX and MITx: Four years of open online courses—Fall 2012-Summer 2016. SSRN. doi: 10.2139/ssrn.2889436
- Cohodes, S. R., & Goodman, J. S. (2014). Merit aid, college quality, and college completion: Massachusetts’ Adams Scholarship as an in-kind subsidy. American Economic Journal: Applied Economics, 6(4), 251-285. doi: 10.1257/app.6.4.251
- Dellarocas, C., & Van Alstyne, M. (2013). Money models for MOOCs. Communications of the ACM, 56(8), 25-28. doi: 10.1145/2492007.2492017
- Dynarski, S. M. (2001). Does aid matter? Measuring the effect of student aid on college attendance and completion (KSG Faculty Research Working Paper Series RWP01-034). doi: 10.2139/ssrn.288547
- Garland, H. (1990). Throwing good money after bad: The effect of sunk costs on the decision to escalate commitment to an ongoing project. Journal of Applied Psychology, 75(6), 728-731. doi: 10.1037/0021-9010.75.6.728
- Heller, D. E. (1997). Student price response in higher education. The Journal of Higher Education, 68(6), 624-659. doi: 10.1080/00221546.1997.11779004
- Henry, G. T., Rubenstein, R., & Bugler, D. T. (2004). Is HOPE enough? Impacts of receiving and losing merit-based financial aid. Educational Policy, 18(5), 686-709. doi: 10.1177/0895904804269098
- John, A. (2019). When commitment fails—Evidence from a field experiment. Management Science, 12, 1-27. doi: 10.1287/mnsc.2018.3236
- Ketel, N., Linde, J., Oosterbeek, H., & van der Klaauw, B. (2016). Tuition fees and sunk-cost effects. The Economic Journal, 126(598), 2342-2362. doi: 10.1111/ecoj.12297
- Koch, A. K., & Nafziger, J. (2016). Goals and bracketing under mental accounting. Journal of Economic Theory, 162, 305-351. doi: 10.1016/J.JET.2016.01.001
- Kung, L.-C., & Yang, P.-J. (2018). Certificate or subscription? The optimal pricing strategy of massive online open courses. In M. Hirano, M. D. Myers, K. Kijima, M. Tanabu, & D. Senoo (Eds.), Pacific Asia Conference on Information Systems (PACIS) 2018 Proceedings (p. 301). Retrieved from https://aisel.aisnet.org/pacis2018/301
- Laibson, D. (1997). Golden eggs and hyperbolic discounting. The Quarterly Journal of Economics, 112(2), 443-478. doi: 10.1162/003355397555253
- Leslie, L. L., & Brinkman, P. T. (1987). Student price response in higher education. The Journal of Higher Education, 58(2), 181-204. doi: 10.1080/00221546.1987.11778239
- Lopez, G., Seaton, D. T., Ang, A., Tingley, D., & Chuang, I. (2017). Google BigQuery for education: Framework for parsing and analyzing edX MOOC data. In C. Urrea (Ed.), L@S ’17: Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale (pp. 181-184). New York, NY: ACM Press. doi: 10.1145/3051457.3053980
- Rabin, M., & O’Donoghue, T. (1999). Doing it now or later. American Economic Review, 89(1), 103-124. Retrieved from https://pubs.aeaweb.org/doi/pdfplus/10.1257/aer.89.1.103
- Reich, J., & Ruipérez-Valiente, J. A. (2019). The MOOC pivot. Science, 363(6423), 130-131. doi: 10.1126/science.aav7958
- Rogers, T., Milkman, K. L., & Volpp, K. G. (2014). Commitment devices: Using initiatives to change behavior. JAMA, 311(20), 2065-2066. doi: 10.1001/jama.2014.3485
- Shi, Y., Li, X., Haller, A., & Campbell, J. (2018). Knowledge pricing structures on MOOC platform—A use case analysis on edX. In M. Hirano, M. D. Myers, K. Kijima, M. Tanabu, & D. Senoo (Eds.), Pacific Asia Conference on Information Systems (PACIS) 2018 Proceedings (p. 181). Retrieved from https://aisel.aisnet.org/pacis2018/181
- Tong, T., & Li, H. (2018). Demand for MOOC—An application of big data. China Economic Review, 51(C), 194-207. Retrieved from https://econpapers.repec.org/RePEc:eee:chieco:v:51:y:2018:i:c:p:194-207
- Yin, R. K. (2003). Case study research: Design and methods (3rd ed.). Thousand Oaks, CA: Sage Publications.