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Engaging Students During Synchronous Video-Conferencing in COVID19 Times: Preliminary Findings from a Design Study

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Technology and Innovation in Learning, Teaching and Education (TECH-EDU 2020)

Abstract

This paper explores student engagement in an undergraduate course during the pandemic-induced emergency remote teaching in the spring of 2020. Fifty preschool education students participated in a course in which synchronous video-conferencing was used. The design study that is outlined in this work focuses on the effect of an instructional approach on the rate and patterns of student engagement. The instructional approach involved questioning in multiple communication channels, chief among which was the chat. The findings indicate that despite the principled design, student engagement varied considerably. A small group of students were very active, systematically participating in the chat and answering all quizzes. Still, the large majority of students exhibited lower engagement rates as they reacted to a few posts on the chat and failed to participate in many of the quizzes assigned. Overall, the study results suggest that the patterns of student engagement identified in the study tend to approximate the ones that characterize face-to-face settings.

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References

  1. Barab, S., Squire, K.: Design-based research: putting a stake in the ground. J. Learn. Sci. 13(1), 1–14 (2004)

    Article  Google Scholar 

  2. Barba, P.G., Kennedy, G.E., Ainley, M.D.: The role of students’ motivation and participation in predicting performance in a MOOC. J. Comput. Assist. Learn. 32(3), 218–231 (2016)

    Article  Google Scholar 

  3. Bransford, J.D., Brown, A.L., Cocking, R.R.: How People Learn: Brain, Mind, Experience, and School. National Academy Press, Washington DC (2000)

    Google Scholar 

  4. Chen, P.S.D., Lambert, A.D., Guidry, K.R.: Engaging online learners: the impact of web-based learning technology on college student engagement. Comput. Educ. 54(4), 1222–1232 (2010)

    Article  Google Scholar 

  5. Chi, M.T., Wylie, R.: The ICAP framework: linking cognitive engagement to active learning outcomes. Educ. Psychol. 49(4), 219–243 (2014)

    Article  Google Scholar 

  6. Cobb, P., Confrey, J., diSessa, A., Lehrer, R., Schauble, L.: Design experiments in educational research. Educ. Res. 32(1), 9–13 (2003)

    Article  Google Scholar 

  7. Collins, A., Joseph, D., Bielaczyc, K.: Design research: theoretical and methodological issues. J. Learn. Sci. 13(1), 15–42 (2004)

    Article  Google Scholar 

  8. Daniels, H.: Vygotsky and Pedagogy. Routledge, Abingdon (2016)

    Book  Google Scholar 

  9. De Jong, N., Verstegen, D.M., Könings, K.D.: The role of the e-tutor in synchronous online problem-based learning: a study in a Master Public Health Programme. Br. J. Educ. Technol. 49(3), 385–397 (2018)

    Article  Google Scholar 

  10. Earnshaw, Y.: Navigating turn-taking and conversational repair in an online synchronous course. Online Learn. J. 21(4), 315–336 (2017)

    Google Scholar 

  11. Finn, J.D., Zimmer, K.S.: Student engagement: What is it? Why does it matter? In: Christenson, S.L., Reschly, A.L., Wylie, C. (eds.) Handbook of Research on Student Engagement, pp. 97–131. Springer, Boston (2012). https://doi.org/10.1007/978-1-4614-2018-7_5

  12. Fredricks, J.A., Blumenfeld, P.C., Paris, A.H.: School engagement: potential of the concept, state of the evidence. Rev. Educ. Res. 74(1), 59–109 (2004)

    Article  Google Scholar 

  13. Freeman, S., et al.: Active learning increases student performance in science, engineering, and mathematics. Proc. Natl. Acad. Sci. 111(23), 8410–8415 (2014)

    Article  Google Scholar 

  14. Gao, F., Li, L.: Examining a one-hour synchronous chat in a microblogging-based professional development community. Br. J. Educ. Technol. 48(2), 332–347 (2017)

    Article  MathSciNet  Google Scholar 

  15. Giesbers, B., Rienties, B., Tempelaar, D., Gijselaers, W.: Investigating the relations between motivation, tool use, participation, and performance in an e-learning course using web-videoconferencing. Comput. Hum. Behav. 29(1), 285–292 (2013)

    Article  Google Scholar 

  16. Gros, B., García-Peñalvo, F.J.: Future trends in the design strategies and technological affordances of e-learning. In: Spector, M., Lockee, B., Childress, M. (eds.) Learning, Design, and Technology, pp. 1–23. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-17727-4_67-1

  17. Henderson, M., Selwyn, N., Aston, R.: What works and why? Student perceptions of ‘useful’ digital technology in university teaching and learning. Stud. High. Educ. 42(8), 1567–1579 (2017)

    Article  Google Scholar 

  18. Hew, K.F., Cheung, W.S.: Attracting student participation in asynchronous online discussions: a case study of peer facilitation. Comput. Educ. 51(3), 1111–1124 (2008)

    Article  Google Scholar 

  19. Hew, K.F., Qiao, C., Tang, Y.: Understanding student engagement in large-scale open online courses: a machine learning facilitated analysis of student’s reflections in 18 highly rated MOOCs. Int. Rev. Res. Open Distrib. Learn. 19(3), 1–26 (2018)

    Google Scholar 

  20. Hodges, C., Moore, S., Lockee, B., Trust, T., Bond, A.: The difference between emergency remote teaching and online learning. Educause Rev. 27, 1–12 (2020)

    Google Scholar 

  21. Jaggars, S.S., Xu, D.: How do online course design features influence student performance? Comput. Educ. 95, 270–284 (2016)

    Article  Google Scholar 

  22. Macfadyen, L.P., Dawson, S.: Mining LMS data to develop an “early warning system” for educators: a proof of concept. Comput. Educ. 54(2), 588–599 (2010)

    Article  Google Scholar 

  23. Milligan, C., Littlejohn, A., Margaryan, A.: Patterns of engagement in connectivist MOOCs. J. Online Learn. Teach. 9(2), 149–159 (2013)

    Google Scholar 

  24. Parkes, M., Stein, S., Reading, C.: Student preparedness for university e-learning environments. Internet High. Educ. 25, 1–10 (2015)

    Article  Google Scholar 

  25. Peters, L., Shmerling, S., Karren, R.: Constructivist pedagogy in asynchronous online education: examining proactive behavior and the impact on student engagement levels. Int. J. E-Learn. 10(3), 311–330 (2011)

    Google Scholar 

  26. Phan, T., McNeil, S.G., Robin, B.R.: Students’ patterns of engagement and course performance in a Massive Open Online Course. Comput. Educ. 95, 36–44 (2016)

    Article  Google Scholar 

  27. Shoepe, T.C., McManus, J.F., August, S.E., Mattos, N.L., Vollucci, T.C., Sparks, P.R.: Instructor prompts and student engagement in synchronous online nutrition classes. Am. J. Distance Educ. 34, 1–17 (2020)

    Article  Google Scholar 

  28. Spanjers, I.A., et al.: The promised land of blended learning: quizzes as a moderator. Educ. Res. Rev. 15, 59–74 (2015)

    Article  Google Scholar 

  29. Szpunar, K.K., Jing, H.G., Schacter, D.L.: Overcoming overconfidence in learning from video-recorded lectures: implications of interpolated testing for online education. J. Appl. Res. Mem. Cogn. 3(3), 161–164 (2014)

    Article  Google Scholar 

  30. Szpunar, K.K., Khan, N.Y., Schacter, D.L.: Interpolated memory tests reduce mind wandering and improve learning of online lectures. Proc. Natl. Acad. Sci. 110(16), 6313–6317 (2013)

    Article  Google Scholar 

  31. The Design-Based Research Collective: Design-based research: an emerging paradigm for educational inquiry. Educ. Res. 32(1), 5–8 (2003)

    Article  Google Scholar 

  32. Thompson, J.R., Klass, P.H., Fulk, B.M.: Comparing online and face-to-face presentation of course content in an introductory special education course. Tech. Educ. Spec. Educ. 35(3), 228–242 (2012)

    Article  Google Scholar 

  33. Vogler, J.S., Munsell, S.E., Knutson, D.: LOLsquared: when laughing-out-loud and learning-on-line intermingle in a computer-mediated classroom discussion. Comput. Educ. 140, 103597 (2019)

    Article  Google Scholar 

  34. Vygotsky, L.S.: Mind in society: the development of higher psychological processes. In: Cole, M., John-Steiner, V., Scribner, S., Souberman, E. (eds.) (trans.). Harvard University Press (1978)

    Google Scholar 

  35. Vygotsky, L.S.: The collected works of L.S. Vygotsky. In: Rieber, R.S., Carton, A.S. (eds.) Minick, N. (trans.) Vol. 1. Problems of General Psychology. Plenum Press, New York (1987)

    Google Scholar 

  36. Weiser, O., Blau, I., Eshet-Alkalai, Y.: How do medium naturalness, teaching-learning interactions and Students’ personality traits affect participation in synchronous E-learning? Internet High. Educ. 37, 40–51 (2018)

    Article  Google Scholar 

  37. Zanjani, N., Edwards, S.L., Nykvist, S., Geva, S.: The important elements of LMS design that affect user engagement with e-learning tools within LMSs in the higher education sector. Australas. J. Educ. Technol. 33(1), 1–13 (2017)

    Google Scholar 

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Correspondence to Ilias Karasavvidis .

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Karasavvidis, I. (2021). Engaging Students During Synchronous Video-Conferencing in COVID19 Times: Preliminary Findings from a Design Study. In: Reis, A., Barroso, J., Lopes, J.B., Mikropoulos, T., Fan, CW. (eds) Technology and Innovation in Learning, Teaching and Education. TECH-EDU 2020. Communications in Computer and Information Science, vol 1384. Springer, Cham. https://doi.org/10.1007/978-3-030-73988-1_22

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  • DOI: https://doi.org/10.1007/978-3-030-73988-1_22

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