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A Multi-dimensional Investigation of Self-regulated Learning in a Blended Classroom Context: A Case Study on eLDa MOOC

  • Daniel F. O. OnahEmail author
  • Jane E. Sinclair
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 545)

Abstract

Online systems such as massive open online courses (MOOCs) are new innovative learning technology in education. With the proliferation of MOOC systems, little has been mentioned about blended MOOC system and how it enhances students’ performance. Blended classroom is a form of learning taking place between two different activities of which one is online and the other is traditional teaching method using bricks and mortal classroom settings. This study reveals the effectiveness of blended classroom teaching for an undergraduate course. The module was embedded in an eLDa MOOC platform, which is a platform for delivery computing concepts, and Python programme course. This research aims to investigate students’ perceptions of self-regulated learning (SRL) habits. A multi-dimensional survey was designed to evaluate each aspect of SRL skills, motivation and attaining better grades within the course. This research analysis explores (a) cognitive process of students improving their self-regulated learning skills (b) potential of students’ preparedness and motivation to engage with the course content in a blended context (c) potential difference in addressing the relation among the methods of engagement and achievement in their weekly assessment results. The research applied an online self-regulated learning questionnaire (OSLQ) as the instrument for measuring the self-regulated learning skills of the students in the learning platform environment. In relation to developing a revised OSLQ to address the use of the instrument to measure self-regulated learning in an online blended classroom context. Data collection process was conducted on a sample of first year undergraduate students who took a seminar module via a blended course format. The results indicate the level of self-regulated learning explored from the measure of the self-regulation in the blended learning environment in this study.

Keywords

Self-regulated learning Blended classroom learning Motivation MOOC E-learning development and adaptivity (eLDa) 

Notes

Acknowledgment

The first author wishes to acknowledge Mr. Adakole. S. Onah’s financial support in his research, and family members and friends for their moral support.

References

  1. 1.
    Ting, K.Y., Chao, M.S.: The application of self-regulated strategies to blended learning. Engl. Lang. Teach. 6(7), 26 (2013)Google Scholar
  2. 2.
    Fournier, H., Kop, R., Sitlia, H.: The value of learning analytics to networked learning on a personal learning environment. In: First International Conference on Learning Analytics and Knowledge 2011, Banff, Alberta, Canada, 27 February–1 March 2011Google Scholar
  3. 3.
    Zimmerman, B.: Attaining self-regulation. A social cognitive perspective. In: Boekaerts, M., Pintrich, P.R., Zeidner, M. (eds.) Handbook of Self-regulation, pp. 13–39. Academic Press, San Diego (2000)CrossRefGoogle Scholar
  4. 4.
    Dweck, C., Grant, H.: Self-theories, goals and meaning. In: Shah, J., Gardner, W. (eds.) Handbook of Motivation Science. The Guildford Press, New York (2008)Google Scholar
  5. 5.
    Perry, N.E.: Young children’s self-regulated learning and contexts that support it. J. Educ. Psychol. 90, 715–729 (1998). doi: 10.1037/0022-0663.90.4.715 CrossRefGoogle Scholar
  6. 6.
    Boekaerts, M., Corno, L.: Self-regulation in the classroom: a perspective on assessment and intervention. Appl. Psychol. 54, 267–299 (2005)CrossRefGoogle Scholar
  7. 7.
    Zimmerman, B.: Academic studying and the development of personal skill: a self-regulatory perspective. Educ. Psychol. 33(2), 86 (1998)MathSciNetCrossRefGoogle Scholar
  8. 8.
    Lynch, R., Dembo, M.: The relationship between self-regulation and online learning in a blended learning context. Int. Rev. Res. Open Distrib. Learn. 5(2) (2004)Google Scholar
  9. 9.
    Pintrich, P.R.: The role of motivation in promoting and sustaining self-regulated learning. Int. J. Educ. Res. 31, 459–470 (1999)CrossRefGoogle Scholar
  10. 10.
    Milligan, C., Littlejohn, A., Hood, N.: Learning in MOOCs: a comparison study. In: Proceedings of the European Stakeholder Summit on Experiences and Best Practices in and Around MOOCs (EMOOCS 2016), p. 15 (2016)Google Scholar
  11. 11.
    Broad, M.: The dynamics of quality assurance in online distance education. Electron. J. Instr. Sci. Technol. 3(1), 12–21 (1999)Google Scholar
  12. 12.
    Barnard, L., Lan, W.Y., To, Y.M., Paton, V.O., Lai, S.L.: Measuring self-regulation in online and blended learning environments. Internet High. Educ. 12(1), 1–6 (2009)CrossRefGoogle Scholar
  13. 13.
    Cunningham, C.A., Billingsley, M.: Curriculum Webs: A Practical Guide to Weaving the Web into Teaching and Learning. Allyn & Bacon Inc., Boston (2002)Google Scholar
  14. 14.
    McManus, T.F.: Individualizing instruction in a web-based hypermedia learning environment: nonlinearity, advance organizers, and self-regulated learners. J. Interact. Learn. Res. 11(2), 219 (2000)Google Scholar
  15. 15.
    Bowen, V.S.: The relationship of locus of control and cognitive style to self-instructional strategies, sequencing, and outcomes in a learner-controlled multimedia environment (1995)Google Scholar
  16. 16.
    Bandura, A.: Social cognitive theory of self-regulation. Organ. Behav. Hum. Decis. Process. 50(2), 248–287 (1991)CrossRefGoogle Scholar
  17. 17.
    Bandura, A.: Self-efficacy: The Exercise of Control. Freeman, New York (1997)Google Scholar
  18. 18.
    Bandura, A.: Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice-Hall Inc., Englewood Cliffs (1986)Google Scholar
  19. 19.
    Bandura, A.: Social foundations of thought and action. In: The Health Psychology Reader, pp. 94–106 (2002)Google Scholar
  20. 20.
    Shea, P., Bidjerano, T.: Learning presence: towards a theory of self-efficacy, self-regulation, and the development of a communities of inquiry in online and blended learning environments. Comput. Educ. 55(4), 1721–1731 (2010)CrossRefGoogle Scholar
  21. 21.
    Winters, F.I., Azevedo, R.: High-school students’ regulation of learning during computer-based science inquiry. J. Educ. Comput. Res. 33(2), 189–217 (2005)CrossRefGoogle Scholar
  22. 22.
    Zimmerman, B.J.: Investigating self-regulation and motivation: historical background, methodological developments, and future prospects. Am. Educ. Res. J. 45(1), 166–183 (2008)CrossRefGoogle Scholar
  23. 23.
    Rovai, A.P., Jordan, H.: Blended learning and sense of community: a comparative analysis with traditional and fully online graduate courses. Int. Rev. Res. Open Distrib. Learn. 5(2), 1–3 (2004)CrossRefGoogle Scholar
  24. 24.
    Graham, C.R.: Blended learning systems. In: Bonk, C.J., Graham, C.R. (eds.) The Handbook of Blended Learning: Global Perspectives, Local Designs. Pfeiffer (2006)Google Scholar
  25. 25.
    Tallent-Runnels, M.K., Thomas, J., Lan, W.Y., Cooper, S., Ahern, T.C., Xiaoming, L.: New models of learning: a review of research on the use of technology in online courses. Rev. Educ. Res. 76(1), 93–135 (2006)CrossRefGoogle Scholar
  26. 26.
    Kramarski, B., Gutman, M.: How can self-regulated learning be supported in mathematical e-learning environments? J. Comput. Assist. Learn. 22(1), 24–33 (2006)CrossRefGoogle Scholar
  27. 27.
    Kramarski, B., Mizrachi, N.: Online discussion and self-regulated learning: effects of instructional methods on mathematical literacy. J. Educ. Res. 99(4), 218–231 (2006)CrossRefGoogle Scholar
  28. 28.
    Lan, W.Y.: The effects of self-monitoring on students’ course performance, use of learning strategies, attitude, self-judgment ability, and knowledge representation. J. Exp. Educ. 64(2), 101–115 (1996)CrossRefGoogle Scholar
  29. 29.
    Orange, C.: Using peer modeling to teach self-regulation. J. Exp. Educ. 68(1), 21–39 (1999)CrossRefGoogle Scholar
  30. 30.
    Chang, M.M.: Enhancing web-based language learning through self-monitoring. J. Comput. Assist. Learn. 23(3), 187–196 (2007)CrossRefGoogle Scholar
  31. 31.
    Onah, D.F., Sinclair, J.: Learners expectations and motivations using content analysis in a MOOC. In: EdMedia 2015-World Conference on Educational Media and Technology, vol. 2015(1), pp. 185–194. Association for the Advancement of Computing in Education (AACE) (2015)Google Scholar
  32. 32.
    Mayes, T., De Freitas, S.: Learning and e-learning the role of theory. In: Beetham, H., Sharpe, R. (eds.) Rethinking Pedagogy in the Digital Age. Routledge, pp. 13–25 (2007)Google Scholar
  33. 33.
    Beetham, H., Sharpe, R.: Rethinking Pedagogy for a Digital Age: Designing and Delivering E-Learning. Routledge, London (2007)Google Scholar
  34. 34.
    Beetham, H., Sharpe, R.: Rethinking Pedagogy for a Digital Age: Designing for 21st Century Learning. Routledge, New York (2013)Google Scholar
  35. 35.
    Biggs, J.B.: Teaching for Quality Learning at University: What the Student Does. McGraw-Hill Education (UK), Maidenhead (2011)Google Scholar
  36. 36.
    Lan, W.Y., Bremer, R., Stevens, T., Mullen, G.: Self-regulated learning in the online environment. In: Annual Meeting American Educational Research Association, San Diego, California (2004)Google Scholar
  37. 37.
    Barnard, L., Paton, V., Lan, W.: Online self-regulatory learning behaviors as a mediator in the relationship between online course perceptions with achievement. Int. Rev. Res. Open Distrib. Learn. 9(2), 1–11 (2008)CrossRefGoogle Scholar
  38. 38.
    Zimmerman, B.J., Bonner, S., Kovach, R.: Developing Self-regulated Learners: Beyond Achievement to Self-efficacy. American Psychological Association, Washington (1996)CrossRefGoogle Scholar
  39. 39.
    Sharma, P., Barrett, B.: Blended Learning: Using Technology in and Beyond the Language Classroom. Macmillan, Oxford (2011)Google Scholar
  40. 40.
    Wang, M., Peng, J., Cheng, B., Zhou, H., Liu, J.: Knowledge visualization for self-regulated learning. Educ. Technol. Soc. 14(3), 28–42 (2011)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Department of Computer ScienceThe University of WarwickCoventryUK

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