1. Acharya, B., & Lee, J. (2018). Users' perspective on the adoption of e-learning in developing countries: The case of Nepal with a conjointbased discrete choice approach. Telematics and Informatics, 35(6), 1733-1743. https://doi.org/10.1016/j. tele.2018.05.002;
2. Azarcon Jr, D. E., Gallardo, C. D., Anacin, C. G., & Velasco, E. (2014). Attrition and retention in higher education institution: A conjoint analysis of consumer behavior in higher education. Asia Pacific Journal of Education, Arts and Sciences, 1(5), 107-118. Retrieved from http://apjeas.apjmr.com/wp-content /uploads/2014/11/APJEAS-2014-1-091.pdf;
3. Black, E. W., Ferdig, R. E., & DiPietro, M. (2008). An overview of evaluative instrumentation for virtual high schools. The Amer. Jrnl. of Distance Education, 22(1), 24-45. https://doi. org/10.1080/08923640701713422;
4. Bouhnik, D., & Marcus, T. (2006). Interaction in distance-learning courses. Journal of the American Society for Information Science and Technology, 57(3), 299-305. https://doi. org/10.1002/asi.20277;
5. Carey, J. M., Carman, K. R., Clayton, K. P., Horiuchi, Y., Htun, M., & Ortiz, B. (2018). Who wants to hire a more diverse faculty? A conjoint analysis of faculty and student preferences for gender and racial/ethnic diversity. Politics, Groups, and Identities, 1-19. https://doi.org/10.1080/215655 03.2018.1491866;