1. bookVolume 22 (2019): Issue 2 (December 2019)
Journal Details
First Published
11 Dec 2014
Publication timeframe
2 times per year
Open Access

Factors Affecting Students’ Preferences for Online and Blended Learning: Motivational Vs. Cognitive

Published Online: 24 Jan 2020
Volume & Issue: Volume 22 (2019) - Issue 2 (December 2019)
Page range: 72 - 86
Journal Details
First Published
11 Dec 2014
Publication timeframe
2 times per year

1. Adam, N. L., Alzahri, F. B., Soh, S. C., Bakar, N. A., & Kamal, N. A. M. (2017). Self-regulated learning and online learning: a systematic review. Proceedings of the International Visual Informatics Conference, 143-154. Springer, Cham.10.1007/978-3-319-70010-6_14 Search in Google Scholar

2. Artino Jr, A. R., & Jones II, K. D. (2012). Exploring the complex relations between achievement emotions and self-regulated learning behaviors in online learning. The Internet and Higher Education, 15(3), 170-175.10.1016/j.iheduc.2012.01.006 Search in Google Scholar

3. Atchley, T. W., Wingenbach, G., & Akers, C. (2013). Comparison of course completion and student performance through online and traditional courses. The International Review of Research in Open and Distributed Learning, 14(4).10.19173/irrodl.v14i4.1461 Search in Google Scholar

4. Barnard-Brak, L., Lan, W. Y., & Paton, V. O. (2010). Profiles in self-regulated learning in the online learning environment. The International Review of Research in Open and Distributed Learning, 11(1), 61-80.10.19173/irrodl.v11i1.769 Search in Google Scholar

5. Baturay, M. H., & Yükseltürk, E. (2015). The role of online education preferences on student’s achievement. Turkish Online Journal of Distance Education, 16(3), 3-12.10.17718/tojde.47810 Search in Google Scholar

6. Bielawski, L., & Metcalf, D. (2003). Blended elearning: Integrating knowledge, performance support, and online learning. Amherst, MA: HRD Press. Search in Google Scholar

7. Borotis, S., & Poulymenakou, A. (2004). E-learning readiness components: Key issues to consider before adopting e-learning interventions. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, 1622-1629. Association for the Advancement of Computing in Education (AACE). Search in Google Scholar

8. Broadbent, J. (2017). Comparing online and blended learner’s self-regulated learning strategies and academic performance. The Internet and Higher Education, 33, 24-32.10.1016/j.iheduc.2017.01.004 Search in Google Scholar

9. Brown, B. W., & Liedholm, C. E. (2004). Student preferences in using online learning resources. Social Science Computer Review, 22(4), 479-492.10.1177/0894439304268529 Search in Google Scholar

10. Butler, T. J., & Pinto-Zipp, G. (2005). Students’ learning styles and their preferences for online instructional methods. Journal of Educational Technology Systems, 34(2), 199-221.10.2190/8UD2-BHFU-4PXV-7ALW Search in Google Scholar

11. Büyüköztürk, Ş., Akgün, Ö. E., Kahveci, Ö., & Demirel, F. (2004). Güdülenme ve öğrenme stratejileri ölçeğinin Türkçe formunun geçerlik ve güvenirlik çalışması. Kuram ve Uygulamada Eğitim Bilimleri, 4(2), 207-239. Search in Google Scholar

12. Christensen, C. M., Horn, M. B., Caldera, L., & Soares, L. (2011, February 8). Disrupting college: How disruptive innovation can deliver quality and affordability to postsecondary education. The Center for American Progress [Blog post]. Retrieved from https://www.americanprogress.org/issues/economy/reports/2011/02/08/9034/disrupting-college/ Search in Google Scholar

13. Cull, S., Reed, D., & Kirk, K. (2010). Student motivation and engagement in online courses. In Authored as part of the 2010 workshop, Teaching Geoscience Online-A Workshop for Digital Faculty. Search in Google Scholar

14. Dembo, M. H., Junge, L. G., & Lynch, R. (2006). Becoming a self-regulated learner: Implications for web-based education. In H. F. O’Neil & R. S. Perez (Eds.), Web-based learning: Theory, research, and practice (pp. 185-202). Mahwah, NJ, US: Lawrence Erlbaum Associates Publishers. Search in Google Scholar

15. Guglielmino, L. M., & Guglielmino, P. J. (2003). Identifying learners who are ready for e-learning and supporting their success. In G. Piskurich (Ed.), Preparing learners for e-learning (pp. 18-33). San Francisco: Jossey-Bass. Search in Google Scholar

16. Hart, C. (2012). Factors associated with student persistence in an online program of study: A review of the literature. Journal of Interactive Online Learning, 11(1). Search in Google Scholar

17. Hung, M. L., Chou, C., Chen, C. H., & Own, Z. Y. (2010). Learner readiness for online learning: scale development and student perceptions. Computers & Education, 55(3), 1080–1090. doi:10.1016/j.compedu.2010.05.00410.1016/j.compedu.2010.05.004 Search in Google Scholar

18. Joo, Y. J., Lim, K. Y., & Kim, J. (2013). Locus of control, self-efficacy, and task value as predictors of learning outcome in an online university context. Computers & Education, 62, 149-158.10.1016/j.compedu.2012.10.027 Search in Google Scholar

19. Kaur, K., & Zoraini Wati, A. (2004). An assessment of e-learning readiness at Open University Malaysia. Proceedings of the International Conference on Computers in Education 2004, 1017-1022. Search in Google Scholar

20. Kintu, M. J., Zhu, C., & Kagambe, E. (2017). Blended learning effectiveness: the relationship between student characteristics, design features and outcomes. International Journal of Educational Technology in Higher Education, 14(1), 7.10.1186/s41239-017-0043-4 Search in Google Scholar

21. Kizilcec, R. F., & Halawa, S. (2015). Attrition and achievement gaps in online learning. Proceedings of the Second (2015) ACM Conference on Learning@ Scale, 57-66. ACM.10.1145/2724660.2724680 Search in Google Scholar

22. Lee, J., Hong, N. L., & Ling, N. L. (2001). An analysis of students’ preparation for the virtual learning environment. The Internet and Higher Education, 4(3-4), 231-242.10.1016/S1096-7516(01)00063-X Search in Google Scholar

23. Lim, D. H., & Morris, M. L. (2009). Learner and instructional factors influencing learning outcomes within a blended learning environment. Journal of Educational Technology & Society, 12(4), 282. Search in Google Scholar

24. Lim, D. H., Morris, M. L., & Kupritz, V. W. (2007). Online vs. blended learning: Differences in instructional outcomes and learner satisfaction. Journal of Asynchronous Learning Networks, 11(2), 27-42. Search in Google Scholar

25. Littlejohn, A., Hood, N., Milligan, C., & Mustain, P. (2016). Learning in MOOCs: Motivations and self-regulated learning in MOOCs. The Internet and Higher Education, 29, 40-48.10.1016/j.iheduc.2015.12.003 Search in Google Scholar

26. López-Pérez, M. V., Pérez-López, M. C., & Rodríguez-Ariza, L. (2011). Blended learning in higher education: Students’ perceptions and their relation to outcomes. Computers & Education, 56(3), 818-826.10.1016/j.compedu.2010.10.023 Search in Google Scholar

27. Lumsden, L. S. (1994). Student Motivation to Learn. Emergency Librarian, 22(2), 31–32. Search in Google Scholar

28. Meulman, J. J., & Heiser, W. J. (2001). SPSS Categories 11.0. Retrieved from http://priede.bf.lu.lv/grozs/Datorlietas/SPSS/SPSSCategories11.0.pdf Search in Google Scholar

29. Muilenburg, L. Y., & Berge, Z. L. (2005). Student barriers to online learning: A factor analytic study. Distance Education, 26(1), 29-48.10.1080/01587910500081269 Search in Google Scholar

30. Najafi, H., Rolheiser, C., Harrison, L., & Heikoop, W. (2018). Connecting Learner Motivation to Learner Progress and Completion in Massive Open Online Courses. Canadian Journal of Learning and Technology, 44(2), n2.10.21432/cjlt27559 Search in Google Scholar

31. NMC Horizon Report (2017). NMC Horizon Report: 2017 Higher Education Edition. Retrieved from http://cdn.nmc.org/media/2017-nmc-horizon-report-he-EN.pdf Search in Google Scholar

32. Padilla-MeléNdez, A., Del Aguila-Obra, A. R., & Garrido-Moreno, A. (2013). Perceived playfulness, gender differences and technology acceptance model in a blended learning scenario. Computers & Education, 63, 306-317.10.1016/j.compedu.2012.12.014 Search in Google Scholar

33. Park, J. H., Lee, E., & Bae, S. H. (2010). Factors influencing learning achievement of nursing students in e-learning. Journal of Korean Academy of Nursing, 40(2), 182-190.10.4040/jkan.2010.40.2.182 Search in Google Scholar

34. Pechenkina, E., & Aeschliman, C. (2017). What do students want? Making sense of student preferences in technology-enhanced learning. Contemporary Educational Technology, 8(1), 26-39.10.30935/cedtech/6185 Search in Google Scholar

35. Pintrich, P. R., Smith, D., Garcia, T., & McKeachie, W. (1991). A Manual for the Use of the Motivated Strategies for Learning Questionnaire (MSLQ). Ann Arbor, MI: The University of Michigan. Search in Google Scholar

36. Raffo, D. M., Gerbing, D. W., & Mehta, M. (2014). Understanding student preferences in online education. Proceedings of PICMET’14 Conference: Portland International Center for Management of Engineering and Technology; Infrastructure and Service Integration, 1555-1564. IEEE. Search in Google Scholar

37. Ramli, N., Muljono, P., & Afendi, F. M. (2018). The influencing factors of self directed learning readiness and academic achievement. Jurnal Kependidikan: Penelitian Inovasi Pembelajaran, 2(1), 153-166. Search in Google Scholar

38. Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students’ academic performance: A systematic review and meta-analysis. Psychological Bulletin, 138(2), 353.10.1037/a0026838 Search in Google Scholar

39. Rosenberg, J., & Ranellucci, J. (2017, May 8). Student motivation in online science courses: A path to spending more time on course and higher achievement. Michigan Virtual Learning Research Institute [Blog post]. Retrieved from https://mvlri.org/blog/student-motivation-in-online-science-courses-a-path-to-spending-more-time-on-course-and-higher-achievement Search in Google Scholar

40. Rovai, A. P., & Jordan, H. (2004). Blended learning and sense of community: A comparative analysis with traditional and fully online graduate courses. The International Review of Research in Open and Distributed Learning, 5(2).10.19173/irrodl.v5i2.192 Search in Google Scholar

41. Selim, H. M. (2007). Critical success factors for e-learning acceptance: Confirmatory factor models. Computers & Education, 49(2), 396-413.10.1016/j.compedu.2005.09.004 Search in Google Scholar

42. Sit, J. W., Chung, J. W., Chow, M. C., & Wong, T. K. (2005). Experiences of online learning: students’ perspective. Nurse Education Today, 25(2), 140-147.10.1016/j.nedt.2004.11.004 Search in Google Scholar

43. Şahin, M., Keskin, S., Özgür, A., & Yurdugül, H. (2017). Determination of interaction profiles based on learner characteristics in e-learning environment. Educational Technology Theory and Practice, 7(2), 172-192. doi: 10.17943/etku.29707510.17943/etku.297075 Search in Google Scholar

44. Tsai, C. C. (2005). Preferences toward Internet-based learning environments: High school students’ perspectives for science learning. Journal of Educational Technology & Society, 8(2), 203-213. Search in Google Scholar

45. Valtonen, T., Kukkonen, J., Dillon, P., & Väisänen, P. (2009). Finnish high school students’ readiness to adopt online learning: Questioning the assumptions. Computers & Education, 53(3), 742-748.10.1016/j.compedu.2009.04.014 Search in Google Scholar

46. Vanides, J. (2018). Let’s Talk Online Learning. The New Media Consortium (NMC). Retrieved from https://www.nmc.org/blog/talking-sensibly-online-learning/ Search in Google Scholar

47. Wang, C. H., Shannon, D. M., & Ross, M. E. (2013). Students’ characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning. Distance Education, 34(3), 302-323.10.1080/01587919.2013.835779 Search in Google Scholar

48. Ward, B. (2004). The best of both worlds: A hybrid statistics course. Journal of Statistics Education, 12(3).10.1080/10691898.2004.11910629 Search in Google Scholar

49. Wojciechowski, A., & Palmer, L. B. (2005). Individual student characteristics: Can any be predictors of success in online classes. Online Journal of Distance Learning Administration, 8(2), 13. Search in Google Scholar

50. Yang, F. Y., & Tsai, C. C. (2008). Investigating university student preferences and beliefs about learning in the web-based context. Computers & Education, 50(4), 1284-1303.10.1016/j.compedu.2006.12.009 Search in Google Scholar

51. Yilmaz, R. (2017). Exploring the role of e-learning readiness on student satisfaction and motivation in flipped classroom. Computers in Human Behavior, 70, 251-260.10.1016/j.chb.2016.12.085 Search in Google Scholar

52. Yurdugül, H., & Demir, Ö. (2017). An investigation of Pre-service Teachers’ Readiness for E-learning at Undergraduate Level Teacher Training Programs: The Case of Hacettepe University. H. U. Journal of Education, 32, 896-915. Search in Google Scholar

53. Zimmerman, B. J. (1986). Becoming a self-regulated learner: Which are the key subprocesses? Contemporary Educational Psychology, 11(4), 307–313.10.1016/0361-476X(86)90027-5 Search in Google Scholar

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