1. Huh JS. The Korean Consortium for e-learning in medical education. Korean Med Educ Rev. 2019;21(1):60-61.
2. Im EJ. Possibilities and limitations of e-learning in medical education. Korean Med Educ Rev. 2009;11(1):21-33.
3. Kee C, Hong KP. Perspective of e-learning in medical education. Korean J Med Educ. 2006;18(3):221-224.
4. Chun KH, Park EA, Song YM. The effects of medical students’ self-regulated learning on career adaptability. J Vocat Educ Res. 2011;30(4):161-177.
5. Yun H, Park S. Building a structural model of motivational regulation and learning engagement for undergraduate and graduate students in higher education. Stud High Educ. 2020;45(2):271-285.
6. Pintrich PR. A conceptual framework for assessing motivation and self-regulated learning in college students. Educ Psychol Rev. 2004;16(4):385-407.
7. Zimmerman BJ. Becoming a self-regulated learner: an overview. Theory Pract. 2002;41(2):64-70.
8. Kim AY. Academic motivation: theory, research, and application. Hakjisa; Seoul: 2010.
9. Keller JM. Motivational design for learning and performance: the ARCS model approach. Springer; New York (NY): 2010.
10. Jo I, Kim Y. An analysis of the structural relationships among undergraduate students’ learning motivations, cognitive strategies, and academic achievements. J Educ Stud. 2014;45(2):77-98.
11. Wolters CA. Regulation of motivation: evaluating an underemphasized aspect of self-regulated learning. Educ Psychol. 2003;38(4):189-205.
12. Zimmerman BJ. Investigating self-regulation and motivation: historical background, methodological developments, and future prospects. Am Educ Res J. 2008;45(1):166-183.
13. Park SH. The role of motivational factors in the development of self-regulated learning. Korean J Educ Psychol. 2003;17(1):55-70.
14. Kim D, Yun H. Effects of motivational regulation strategies on cognitive learning and academic achievement between online and face-to-face learners in higher education. J Yeolin Educ. 2020;28(5):347-373.
15. Schwinger M, Steinmayr R, Spinath B. How do motivational regulation strategies affect achievement: Mediated by effort management and moderated by intelligence. Learn individ Differ. 2009;19(4):621-627.
16. Wolters CA. Self-regulated learning and college students' regulation of motivation. J Educ Psychol. 1998;90(2):224-235.
17. Schwinger M, Steinmayr R, Spinath B. Not all roads lead to Rome: comparing different types of motivational regulation profiles. Learn Individ Differ. 2012;22(3):269-279.
18. Schwinger M, Stiensmeier-Pelster J. Effects of motivational regulation on effort and achievement: a mediation model. Int J Educ Res. 2012;56:35-47.
19. Park S, Yun H. The influence of motivational regulation strategies on online students’ behavioral, emotional, and cognitive engagement. Am J Distance Educ. 2018;32(1):43-56.
20. Yun H, Park S, Kim D, Jung E, Yoon M. The influence of academic level and course delivery mode on the use of motivational regulation strategies and learning engagement. Australas J Educ Technol. 2020;36(3):89-103.
21. Stegers-Jager KM, Cohen-Schotanus J, Themmen AP. Motivation, learning strategies, participation and medical school performance. Med Educ. 2012;46(7):678-688.
22. Park S, Yun H. Relationships between motivational strategies and cognitive learning in distance education courses. Distance Educ. 2017;38(3):302-320.
23. Denson N, Ing M. Latent class analysis in higher education: an illustrative example of pluralistic orientation. Res High Educ. 2014;55(5):508-526.
24. Porcu M, Giambona F. Introduction to latent class analysis with applications. J Early Adolesc. 2017;37(1):129-158.
25. Lee J. Cluster types based on the use of learning motivational regulation strategies among high school students. Korean J Couns. 2014;15(5):2001-2018.
26. Jang J, Park I, Yun G. Latent profile analysis of learning strategy level and influence factors in middle & high school students. J Educ Technol. 2020;36(1):105-135.
27. Pintrich PR, Smith D, Garcia T, McKeachie W. Predictive validity and reliability of the Motivated Strategies for Learning Questionnaire. Educ Psychol Meas. 1993;53(3):801-813.
28. Fredricks JA, Blumenfeld PC, Paris AH. School engagement: potential of the concept, state of the evidence. Rev Educ Res. 2004;74(1):59-109.
29. Sun JC, Rueda R. Situational interest, computer self‐efficacy and self‐regulation: their impact on student engagement in distance education. Br J Educ Technol. 2012;43(2):191-204.
31. Celeux G, Soromenho G. An entropy criterion for assessing the number of clusters in a mixture model. J Classif. 1996;13(2):195-212.
32. Nylund KL, Asparouhov T, Muthen BO. Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Struct Equ Model. 2007;14(4):535-569.
33. Yun H, Oh S. Online learners' motivational regulation profiles affecting cognitive learning and learning engagement. J Korean Assoc Inf Educ. 2021;25(1):91-101.
34. Kwon S. Study on the relationship between achievement goal orientation and self-regulated learning of adult learners: comparing adult learners on continuing education program with undergraduate students. J Educ Technol. 2008;24(4):27-52.
35. Lee HW. The effects of self-regulated learning skills on group self-regulation, group performance, and group activity satisfaction in project-based collaborative learning. Korean J Educ Methodol Stud. 2012;24(1):171-183.
36. Yune SJ, Im SJ, Lee SH, Baek SY, Lee SY. Effects of differences in problem-based learning course length on academic motivation and self-directed learning readiness in medical school students. Korean J Med Educ. 2010;22(1):23-31.
37. Choo HJ, Park JH. Web based PBL teaching · learning development model for medical education. J Korea Contents Assoc. 2010;10(10):246-254.
38. Kim N, Chun B, Choi JI. A case study of flipped learning at college: focused on effects of motivation and self-efficacy. J Educ Technol. 2014;30(3):467-492.
39. Park S, Lim J. In: Hokanson B, Clinton G, Tawfik A, Grincewicz A, Schmidt M, editors. Educational technology beyond content: a new focus for learning. Springer; Cham: 2020. p. 217-231. Training motivational regulation skills through virtual avatars in online learning.
40. Daumille r M, Dresel M. Supporting self-regulated learning with digital media using motivational regulation and metacognitive prompts. J Exp Educ. 2019;87(1):161-176.
41. Ryu ES, Seo MW. The structural equation model analysis on e-PBL teaching-learning design model affecting the student outcome and the motivation factors through the medium of ARCS model. J Educ Eval. 2014;27(3):727-756.