Optimal Video Length Effect on Flow Experience and Perceived Learning: A Repeated Measure Experimental Design with Randomization
Year 2024,
Volume: 11 Issue: 1, 142 - 157, 01.01.2024
Ömer Demir
,
Bengi Birgili
Abstract
Videos are commonly used in education. Benefitting from instructional videos in learning processes empowers students’ academic outcomes. In spite of this, educators have no consensus on optimal video length. There is a need to cease speculations on optimal video length since most of them have been relying only on context-based tips or best practices. Therefore, the purpose of this study is to delve into the optimal video length discussion through the lens of perceived learning and flow experience. We employed repeated measure experimental design with randomization of treatment order for each participant. Twenty-eight university students from two big cities in Türkiye volunteered to participate in the study. Short, medium, and long videos were compared via Friedman test. Results of this study substantiated instructional video length does not seem to affect students’ perceived learning and their overall flow experience. However, they tend to concentrate and focus better on short videos. We call for an end to optimal video length discussion for videos shorter than 10 minutes, especially in terms of learning. The implications relying on the findings were discussed in terms of differences between “thinking to be in flow” and “being actually in flow.” The recommendations are given in detail in the full text.
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Year 2024,
Volume: 11 Issue: 1, 142 - 157, 01.01.2024
Ömer Demir
,
Bengi Birgili
References
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- Creswell, J. W. (2005). Educational research. Planning, conducting, and evaluating quantitative and qualitative research (2nd ed.). Pearson Press.
- Csikszentmihalyi, M. (1975). Beyond boredom and anxiety: Experiencing flow in work and play. Jossey-Bass Press.
- Csikszentmihalyi, M. (1988). The flow experience and its significance for human psychology. In M. Csikszentmihalyi & I. S. Csikszentmihalyi (Eds.), Optimal experience: Psychological studies of flow in consciousness (pp. 15-35). Cambridge University Press.
- Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. Harper & Row Press.
- Çakıroğlu, Ü., Saylan, E., Çevik, İ., & Özkan, A. (2022). Qualifying with different types of quizzes in an online EFL course: Influences on perceived learning and academic achievement. The International Review of Research in Open and Distributed Learning, 23(3), 191-211. https://doi.org/10.19173/irrodl.v23i3.5894
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- Doolittle, P. E., Bryant, L. H., & Chittum, J. R. (2015). Effects of degree of segmentation and learner disposition on multimedia learning. British Journal of Educational Technology 46(6), 1333-1343. https://doi.org/10.1111/bjet.12203
- Evens, M., Empsen, M., & Hustinx, W. A. (2022). Literature review on 360-degree video as an educational tool: Towards design guidelines. Journal of Computers in Education. Ahead of publication. https://doi.org/10.1007/s40692-022-00233-z
- Fidan, M., & Debbag, M. (2023). Comparing the effectiveness of instructional video types: An in-depth analysis on pre-service teachers for online learning. International Journal of Human–Computer Interaction, 39(3), 575-586. https://doi.org/10.1080/10447318.2022.2041905
- Friedman, M. (1940). A comparison of alternative tests of significance for the problem of m rankings. The Annals of Mathematical Statistics, 11(1), 86-92. http://dx.doi.org/10.1214/aoms/1177731944
- Gagne, R. M. (1988). Principles of instructional design (1st ed.). Harcourt College Press.
- Gagne, R. M., Briggs, L. J., & Wager, W. W. (1992). Principles of instructional design (4th ed.). Harcourt Brace Jovanovich Press.
- Gaughan, J. E. (2014). The flipped classroom in world history. The History Teacher, 47(2), 221-244. http://www.jstor.org/stable/43264225
- Giannakos, M. N., Jaccheri, L., & Krogstie, J. (2016). How video usage styles affect student engagement? implications for video-based learning environments. In Y. Li et al. (Eds.), State-of-the-Art and future directions of smart learning, lecture notes in educational technology (pp. 157-163). http://dx.doi.org/10.1007/978-981-287-868-7_18
- Gray, J. A., & DiLoreto, M. (2016). The effects of student engagement, student satisfaction, and perceived learning in online learning environments. International Journal of Educational Leadership Preparation, 11(1), EJ1103654. https://files.eric.ed.gov/fulltext/EJ1103654.pdf
- Guo, P. J., Kim, J., & Rubin, R. (2014, March 4-5). How video production affects student engagement: An empirical study of MOOC videos [Paper Presentation]. Proceedings of the First ACM Conference on Learning at Scale (pp. 41-50), Atlanta, Georgia, USA. https://doi.org/10.1145/2556325.2566239
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