DOI QR코드

DOI QR Code

Effects of Lecturer Appearance and Students' Behavioral Patterns on Learning Flow and Teaching Presence of Chinese University Students' Video Lectures

중국 대학생의 동영상 학습에서 교수자 출연이 학습자 행동유형에 따라 학습몰입과 교수실재감에 미치는 효과

  • Tai, Xiao-Xia (Department of Education, Xingtai University) ;
  • Zhu, Hui-Qin (Department of Business Administration, Jeonju University) ;
  • Kim, Bo-Kyeong (Department of Education, Jeonju University)
  • Received : 2020.12.15
  • Accepted : 2021.03.20
  • Published : 2021.03.28

Abstract

The purpose of this study is to investigate whether there is a difference in the effect of learning flow and teaching presence according to the lecturer's appearance and students' behavioral patterns in video learning. For this experiment, 183 freshmen from Xingtai University in China were selected as subjects. After being classified according to DISC, students were assigned to study the lecture videos with the appearance of the lecturer and the video without the appearance of the lecturer. After testing the level of their learning flow and teaching presence, the differences between groups were analyzed. According to the results of the analysis, the learning flow and teaching presence of groups who learned the videos in which the lecturer appeared were significantly higher than the groups who learned the videos without the appearance of the lecturer. Second, the effects of whether the lecturer appears or not according to DISC on learning flow were significant. However, the effects of DISC, and the interactive effect of DISC and the lecturer appearance were found to have no significant interactive effect on learning flow. Third, the effects of whether the lecturer appears or not according to DISC on teaching presence were significant, and the effects of DISC on teaching presence were not significant, but the interactive effect of lecturer appearance and DISC was significant. These findings suggest that lecture videos with the appearance of the lecturer generally have better effect. In particular, in order to enhance teaching presence, it is effective to decide whether the lecturer appears or not by considering its interactive effects with learners' DISC.

본 연구의 목적은 중국 대학생의 동영상 학습에서 교수자 출연이 학습자 행동유형에 따라 학습몰입과 교수실재감에 미치는 효과를 분석하는 것이다. 중국 형태대학교 183명의 학생을 대상으로 DISC 행동유형을 분류한 후 교수가 출연과 마출연 동영상에 배정하여 학습하게 하였다. 이후 학습몰입과 교수실재감을 측정한 후 집단 간 차이를 분석하였다. 연구결과, 교수자가 출연하는 강의동영상을 학습한 집단이 학습몰입과 교수실재감이 높게 나타났다. 둘째, 교수자 출연여부가 학습자 행동유형에 따라 학습몰입에 미치는 효과에서는 교수자 출연의 효과는 유의하였으나 둘의 상호작용 효과는 유의하지 않았다. 셋째, 교수자 출연여부가 학습자 행동유형에 따라 교수실재감에 미치는 효과에서 교수자 출연의 효과는 유의하였고, 학습자 행동유형의 효과는 유의하지 않았지만, 둘의 상호작용 효과는 유의하였다. 이러한 연구결과는 강의동영상은 교수자가 출연하는 것이 좋으며, 교수실재감을 높이기 위해 학습자의 행동유형의 상호작용효과를 고려하여 교수자 출연여부를 결정하는 것이 효과적임을 시사한다.

Keywords

References

  1. D. S. Kim & M. H. Lee (2019). Perception on Online Learning of Faculty Members in Higher Education. The Journal of Learner-Centered Curriculum and Instruction, 19(13), 845-867. http://dx.doi.org/10.22251/jlcci.2019.19.13.845
  2. Y. J. Lee & K. L. Cho. (2018). Research on Learners' Experiences in K-MOOC: Using Phenomenological Qualitative Analysis. Journal of Educational Technology, 34(4), 991-1017. http://dx.doi.org/10.17232/KSET.34.4.991
  3. K. Chorianopoulos & M. N. Giannakos. (2013). Usability design for video lectures. In Proceedings of the 11th European Conference on Interactive TV and Video. ACM.
  4. M. N. Llioudi, A. Lazakidou, & M. Tsironi. (2010). Information and communication technologies for better patient self management and self-efficacy, International Journal of Electronic Healthcare, 5(4), 327-339. DOI:10.1504/IJEH.2010.036205
  5. P. Ayres & F. Paas. (2007). Making instructional animations more effective: a cognitive load approach, Applied Cognitive Psychology, 21(6), 811-820. https://doi.org/10.1002/acp.1343
  6. R Moreno, R. E. Mayer, H. A. Spires & J. C. Lester. (2001). The case for social agency in computer-based teaching: do students learn more deeply when they interact with animated pedagogical agents?. Cognition and Instruction, 19(2), 177-213. DOI: http://dx.doi.org/10.1207/S1532690XCI1902_02
  7. J. L. Plass, R. Moreno & Brunken. (2010). R. (Eds.). Cognitive load theory. NY: Cambridge university press. DOI: http://dx.doi.org/10.1017/CBO9780511844744
  8. S. Y. Shin. (2019). An analysis of difference in team-based learning composed based on DISC behavior patterns on learning attitude, team task performance and learning satisfaction of job strategy class. Pukyong National University. Master's thesis, Busan.
  9. C. Gunawardena & F. Zittle. (1997). Social presence as a predictor of satisfaction within a computer mediated conferencing environment. American Journal of Distance Education, 11(3), 8-26. https://doi.org/10.1080/08923649709526970
  10. C. Frechette & R. Moreno. (2010). The roles of animated pedagogical agents' presence and nonverbal communication in multimedia learning environments. Journal of Media Psychology, 22(2), 61-72. https://doi.org/10.1027/1864-1105/a000009
  11. P. C. Liu. (2019). A study on the effect of Mooc video presentation mode on learning effect. Xi'an Technological University. Master's thesis, Wuhan, China.
  12. E. M. Cho & A. N. Han. (2010). The Effect of Social Presence on Learning Flow and Learning Effects In Online Learning Community. Journal of Korean Association for Educational Information and Media, 16(1), 23-43. UCI: G704-000750.2010.16.1.006
  13. Zh. L. Pi. (2014). A study on the effect of video announcer expression on learning effect and the mechanism. Central China Normal University, Master's thesis, Wuhan, China.
  14. L. Li. (2019). The effect of teacher's hand gestures and eye-opening on learner's learning in teaching video. Central China Normal University, Master's thesis, Wuhan, China.
  15. C. K. Friesen, J. Ristic & A. Kingstone. (2004). Attentional effects of counter-predictive gaze and arrow cues. Journal of Experimental Psychology: Human Perception and Performance, 30(2), 319-329. https://doi.org/10.1037/0096-1523.30.2.319
  16. N. C. Kramer & G. Bente. (2010). Personalizing e-learning: the social effects of pedagogical agents. Educational Psychology Review, 22(1), 71-87. https://doi.org/10.1007/s10648-010-9123-x
  17. K. Y. Kim. (2005). study on the effects of lecturer's image on receiver's attitude and educational results. Yonsei University, Master's thesis, Seoul.
  18. Z. L. Pi, Y. Zhang & J. M. Yang. (2019). Effects of teacher gestures on video learning and its cognitive neural mechanism. China audio visual education, 4, 103-110. DOI:10.3969/j.issn.1006-9860.2019.04.016
  19. R. E. Mayer, K. Sobko & P. D. Mautone. (2003). Social cues in multimedia learning: role of speaker's voice. Journal of Educational Psychology, 95(2), 419-425. https://doi.org/10.1037/0022-0663.95.2.419
  20. T. Van Gog, I. Verveer & L. Verveer, 2014, Learning from Video Modeling Examples: Effects of Seeing the Human Model's Face. Computers & Education, 72(1), 323-327. DOI: 10.1016/j.compedu.2013.12.004
  21. R. F. Kizilcec, J. N. Bailenson & C. J. Gomez. (2015). The instructor's face in video instruction: evidence from two large-scale field studies. Journal of Educational Psychology, 107(3), 724-739. http://dx.doi.org/10.1037/edu0000013
  22. B. D. Homer, J. L. Plass & L. Blake. (2008). The effects of video on cognitive load and social presence in multimedia learning. Computers in Human Behavior, 24(3), 786-797. https://doi.org/10.1016/j.chb.2007.02.009
  23. Korea Educational Consulting Institute. (2002). DISC Instructor Course Textbooks and Manuals. Seoul: Korea Education Institute Consulting.
  24. W. M. Marston (1979). Emotion of normal people. MN: Persona Press.
  25. H. K. Cho (2017). Influence of DiSC profile of start-up learners on immersion on learning and start-up intention. Master's thesis, Chung-Ang University, Seoul.
  26. R. H. Zhu. (2016). A Study on the Most Effective English Vocabulary Learning Strategies for Students of DISC Behavior Styles. Tianjin Normal University, Master's thesis, Tianjin, China.
  27. N. M. Shin, K. S. Kim & K. Y. Kim. (2005). An empirical study on the cyber-class flow model Korean Journal of Educational Research, 43(4), 247-276. UCI: G704-000614.2005.43.4.008
  28. D. R. Garrison & Z.E.H.R.A. Akyol. (2013). The community of inquiry theoretical framework, in Moore. M.G. and Diehl, W.C. (Eds), Handbook of Distance Education, Routledge, New York, 122-138. https://doi.org/10.4324/9780203803738.ch7
  29. E. J. Lee. (2017). The effect of video types on learning outcome and teaching : presence in accordance with visual cue presentation. Doctoral dissertation, Korea University, Seoul.
  30. H. S. Um. (2016). Impact of educational video types according to lecturer appearance and video segmentation on learning outcomes. Doctoral dissertation, Korea University, Seoul.
  31. E. H. Koh. (2006). The Exploratory Empirical Study of Teaching Presence as a construct in Online Learning Context. Journal of educational information and media, 12(4), 263-287. UCI: G704-000750.2006.12.4.008
  32. C. M. Chen & C. H. Wu. (2015). Effects of different video lecture types on sustained attention, emotion, cognitive load, and learning performance. Computers & Education, 80(1), 108-121. DOI: 10.1016/j.compedu.2014.08.015
  33. B. G. Ahn. (2006). The Influence of Personality Type on Student Performance in the Introductory Economics Course. Journal of Korean Economic Development, 13(2), 137-158. UCIL: I410-ECN-0102-2009-320-000868834