Emerging Evidence Regarding the Roles of Emotional, Behavioural, and Cognitive Aspects of Student Engagement in the Online Classroom

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There is emerging evidence that suggests emotions as a discrete factor in academic online contexts that significantly contribute to student engagement and higher order learning (Cleveland-Innes & Campbell, 2012; You, 2012, You & Kang, 2014; Zembylas, 2008; Liaw, 2008). Pekrun (2000) and Pekrun, Goetz, Frenzel, Barchfeld, and Perry (2011) developed the control-value theory of achievement emotion that not only showed that emotions represent a discrete category in student engagement, but that there are certain factors such as perceived academic control and self-regulation that function as antecedents of students’ emotional reactions that affect online learning. The aim of the present paper is to review the emerging research evidence of the impact of emotions on students’ engagement in order to understand the distinct role that emotions may play in online learning. The review also proposes strategies and activities that teachers can use in order to enhance students’ positive engagement in online learning. The findings suggest that emotions are significant factors in students’ engagement in online learning while cognitive and behavioural factors function as antecedents of emotions in online contexts. The inclusion of emotional, cognitive and behavioural strategies in online teaching can enhance students’ engagement and learning experience in the online classroom.

1. Acee, T. W., Kim, H., Kim, H. J., Kim, J. I., Chu, H. N. R., Kim, M., & Wicker, F. W. (2010). Academic boredom in under-and over-challenging situations. Contemporary Educational Psychology, 35(1), 17-27.

2. Andrews, J., Violato, C., Rabb, K., & Hollingsworth, M. (1994). A validity study of Biggs’ three factor model of learning approaches: A confirmatory factor analysis employing a Canadian sample. British Journal of Educational Psychology, 64, 179-185.

3. Aragon, S. R. (2003). Creating social presence in online environments. New directions for adult and continuing education, 100, 57-68.

4. Artino, A. R. (2008a). Motivational beliefs and perceptions of instructional quality: predicting satisfaction with online training. Journal of Computer Assisted Learning, 24(3), 260-270.

5. Artino, A. R. (2008b). Understanding satisfaction and continuing motivation in an online course: An extension of social cognitive, control-value theory. Paper presented at the annual meeting of the American Educational Research Association, New York, NY.

6. Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ: Prentice Hall.

7. Barrett, L. F., Mesquita, B., & Gendron, M. (2011). Context in emotion perception. Current Directions in Psychological Science, 20, 286-290.

8. Berenson, R., Boyles, G., & Weaver, A. (2008). Emotional intelligence as a predictor of success in online learning. The International Review of Research in Open and Distributed Learning, 9(2).

9. Capdeferro, N., & Romero, M. (2012). Are online learners frustrated with collaborative learning experiences? The International review of research in open and distance learning, 13(2), 26-44.

10. Chen, S. J., & Caropreso, E. J. (2004). Influence of personality on online discussion. Journal of Interactive Online Learning, 3(2), 1-17.

11. Cho, M. H., & Heron, M. L. (2015). Self-regulated learning: the role of motivation, emotion, and use of learning strategies in students’ learning experiences in a self-paced online mathematics course. Distance Education, 36(1), 80-99.

12. Cleveland-Innes, M., & Campbell, P. (2012). Emotional Presence, Learning, and the Online Learning Environment. The International Review of Research in Open and Distance Learning, 13(4), 269-292.

13. Conrad, D. L. (2002). Engagement, excitement, anxiety, and fear: Learners’ experiences of starting an online course. American Journal of Distance Education, 16(4), 205-226.

14. Daughenbaugh, R., Ensminger, D., Frederick, L., & Surry, D. (2002). Does personality type effect online versus in-class course satisfaction? Paper presented at the Seventh Annual Mid South Instructional Technology Conference, April 7-9, Middle Tennessee State University.

15. Dimitrov, N. (2014). Intercultural Communication and Collaboration [Video file]. Retrieved July 6, 2015 from the University of Liverpool website https://elearning.uol.ohecampus.com/webapps/portal/frameset.jsp?tab_tab_group_id=_40_1&url=%2Fwebapps%2Fblackboard%2Fexecute%2Flauncher%3Ftype%3DCourse%26id%3D_1509531_1%26url%3D

16. Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004) School Engagement: Potential of the Concept, State of the Evidence. Review of Educational Research, 74(1), 59-109.

17. Garrison, D. R., Anderson, T., & Archer, W. (2000). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2, 1-19.

18. Garrison, D. R., Anderson, T., & Archer, W. (2010). The first decade of the community of inquiry framework: A retrospective. The Internet and Higher Education, 13(1), 5-9.

19. Garrison, D. R., & Arbaugh, J. B. (2007). Researching the community of inquiry framework: Review, issues, and future directions. The Internet and Higher Education, 10(3), 157-172.

20. Gendron, M., Roberson, D., van der Vyver, J. M., & Barrett, L. F. (2014). Perceptions of emotion from facial expressions are not culturally universal: Evidence from a remote culture. Emotion, 14(2), 251-262.

21. Greene, B. A., & Miller, R. B. (1996). Influences on achievement: Goals, perceived ability, and cognitive engagement. Contemporary Educational Psychology, 21(2), 181-192.

22. Hannon, J., & D’Netto, B. (2007). Cultural diversity online: student engagement with learning technologies. International Journal of Educational Management, 21(5), 418-432.

23. Hu, S., & Kuh, G.D. (2001). Being (Dis)Engaged in Educationally Purposeful Activities: The Influences of Student and Institutional Characteristics. Paper presented at the American Educational Research Association Annual Conference. Seattle, WA, 10-14 April.

24. Huang, C. (2011). Achievement goals and achievement emotions: A meta-analysis. Educational Psychology Review, 23(3), 359-388.

25. Kang, M., & Im, T. (2013). Factors of learner-instructor interaction which predict perceived learning outcomes in online learning environment. Journal of Computer Assisted Learning, 29(3), 292-301.

26. Kher, N. M., Molstad, S., & Donahue, R. (1999). Using humor in the college classroom to enhance teaching effectiveness in ‘dread courses’. College Student Journal, 33, 400-406.

27. Krause, K. & Coates, H. (2008). Students’ Engagement in First-Year University. Assessment and Evaluation in Higher Education, 33(5), 493-505.

28. Kuh, G .D. (2009). What Student Affairs Professionals Need to Know about Student Engagement. Journal of College Student Development, 50(6), 683-706.

29. Lee, I. S. (2011). Emotion, emotional intelligence, and e-learning. Online proceeding of the 9th International Conference for Media in Education 2011 of KAEIM & JAEIMS, 1-4. Retrieved June

30, 2014, from http://dasan.sejong.ac.kr/~inlee/set/set/articles/ICoME2011_K_14.pdf

30. Lee, Y., & Choi, J. (2011). A review of online course dropout research: implications for practice and future research. Educational Technology Research and Development, 59(5), 593-618.

31. Liaw, S. (2008). Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system. Computers & Education, 51, 864-873.

32. Linnenbrink, E. A., & Pintrich, P. R. (2002). Motivation as an enabler for academic success. School Psychology Review, 31(3), 313-327.

33. LoSchiavo, F. M., & Shatz, M. A. (2005). Enhancing online instruction with humor. Teaching of Psychology, 32, 247-250.

34. Nelson, N. L., & Russell, J. A. (2013). Universality revisited. Emotion Review, 5, 8-15.

35. O’Regan, K. (2003). Emotion and e-learning. Journal of Asynchronous learning networks, 7(3), 78-92.

36. Pekrun, R. (2000). A social-cognitive, control-value theory of achievement emotions. In J. Heckhausen (Ed.), Motivational Psychology of Human Development- Advances in Psychology. Amsterdam: Elsevier Science B.V.

37. Pekrun, R. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational psychology review, 18(4), 315-341.

38. Pekrun, R., Cusack, A., Murayama, K., Elliot, A. J., & Thomas, K. (2014). The power of anticipated feedback: Effects on students’ achievement goals and achievement emotions. Learning and Instruction, 29, 115-124.

39. Pekrun, R., Goetz, T., Daniels, L. M., Stupnisky, R. H., & Perry, R. P. (2010). Boredom in achievement settings: Exploring control-value antecedents and performance outcomes of a neglected emotion. Journal of Educational Psychology, 102(3), 531-549.

40. Pekrun, R., Goetz, T., Frenzel, A. C., Barchfeld, P., & Perry, R. P. (2011). Measuring emotions in students’ learning and performance: The Achievement Emotions Questionnaire (AEQ). Contemporary Educational Psychology, 36(1), 36-48.

41. Pekrun, R., Goetz, T., Titz, W., & Perry, R. P. (2002). Academic emotions in students’ selfregulated learning and achievement: A program of qualitative and quantitative research. Educational Psychologist, 37(2), 91-105.

42. Pekrun, R., & Stephens, E. J. (2010). Achievement emotions: A control-value approach. Social and Personality Psychology Compass, 4(4), 238-255.

43. Pintrich, P. R., & Schunk, D. H. (2002). Motivation in education: Theory, research, and applications (2nd ed.) Upper Saddle River, N.J: Merrill Prentice Hall.

44. Rienties, B., & Rivers, B. A. Measuring and Understanding Learner Emotions: Evidence and Prospects. LACE Project - Learning Analytics Review 1. Retrieved December 10, 2014, from the http://www.laceproject.eu/publications/learning-analytics-and-emotions.pdf

45. Risquez, A., & Sanchez-Garcia, M. (2012). The jury is still out: Psychoemotional support in peer e-mentoring for transition to university. The Internet and Higher Education, 15(3), 213-221.

46. Sauter, D. A., Eisner, F., Ekman, P., & Scott, S. K. (2010). Crosscultural recognition of basic emotions through nonverbal emotional vocalizations. Proceedings of the National Academy of Sciences, USA, 107, 2408-2412.

47. Shatz, M. A., & LoSchiavo, F. M. (2006). Bringing life to online instruction with humor. Radical Pedagogy, 8(2), 8.

48. Shea, P. (2006). A study of students’ sense of learning community in online environments. Journal of Asynchronous Learning Networks, 10(1), 35-44.

49. Shen, L., Wang, M., & Shen, R. (2009). Affective e-Learning: Using “Emotional” Data to Improve Learning in Pervasive Learning Environment. Educational Technology & Society, 12(2), 176-189.

50. Trowler, V. (2010). Student engagement literature review. York: Higher Education Academy.

51. Vuorela, M., & Nummenmaa, L. (2004). Experienced emotions, emotion regulation and student activity in a web-based learning environment. European Journal of Psychology of Education, 19(4), 423-436.

52. Wang, Y., Peng, H., Huang, R., Hou, Y., & Wang, J. (2008). Characteristics of distance learners: research on relationships of learning motivation, learning strategy, self-efficacy, attribution and learning results. Open Learning, 23(1), 17-28.

53. Yang, C. C., Tsai, I., Kim, B., Cho, M. H., & Laffey, J. M. (2006). Exploring the relationships between students' academic motivation and social ability in online learning environments. The Internet and Higher Education, 9(4), 277-286.

54. You, J. (2012). The structural relationship among task value, self-efficacy, goal structure, and academic emotions for promoting self-regulated learning in e-learning course. The Journal of Korean Association of Computer Education, 16(4), 61-77.

55. You, J. W., & Kang, M. (2014). The role of academic emotions in the relationship between perceived academic control and self-regulated learning in online learning. Computers & Education, 77, 125-133.

56. You, J., Kang, M. & Pahng, P. (2013). Moderating Effects of Academic Emotions between Perceived Academic Control and Self-Regulated Learning in Online Courses. E-Learn, 2180-2188.

57. Yukselturk, E., & Bulut, S. (2007). Predictors for student success in an online course. Journal of Educational Technology & Society, 10(2), 71-83.

58. Zembylas, M. (2008). Adult learners’ emotions in online learning. Distance Education, 29(1), 71-87.

59. Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into practice, 41(2), 64-70.

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