What does an effective e learning video look like?


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As a video producer developing MOOCs I ask how we can know what specific practices of video production are conducive to learning.

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What does an effective e learning video look like?

  1. 1. What does an effective e- learning video look like? Don Leitch
  2. 2. Broader context ● Videos are the majority of content and the most expensive ● Blended learning, credit bearing courses ● Scalability ● Standardisation ● Instructor training ● Best practices ● Open research
  3. 3. Question How do we know what makes an effective online educational video so that we can implement best practices?
  4. 4. How we currently make decisions about videos ● Discussion ● Intuition ● Experience of video producers and learning designers ● Film theory ● Design ● Empirical research
  5. 5. Data & Research
  6. 6. Surveys (Pierce, 2015)
  7. 7. Taxonomies (Reutemann, 2016) (Hansch et al, 2015)
  8. 8. Video interaction data (Guo, Kim and Rubin, 2014)
  9. 9. AB testing (Chen et al, 2016)
  10. 10. Controlled experiments (Kizilcec, Papadopoulos, and Sritanyaratana, 2014)
  11. 11. Recurring Theme Engagement VS Learning
  12. 12. Recurring Theme Most research on educational online videos involve findings in engagement VS
  13. 13. Interesting findings
  14. 14. Video Length ● Drop out rates and watch time used as a proxy for engagement ● Unclear if cause is length or conciseness ● Varies according to video type (Guo, Kim and Rubin, 2014)
  15. 15. Setting ● Traditional lecture settings are less engaging ● Intimacy trumps production values ● Lecturer comfort and decreased cognitive load increases learner engagement (Guo, Kim and Rubin, 2014) (Chen et al, 2016)
  16. 16. Rate of speech ● Correlated with engagement ● Faster is generally better ● Could be about enthusiasm
  17. 17. Framing ● LectureSight controlled study ● Importance of face and gestures ● Improved recognition and recall ● Very specific. Broader research needed. (Wulff et al, 2013)
  18. 18. Edits (visual transitions) ● Viewers navigate videos to before and after edit points ● Supports chapters and interactivity ● Argument for picture in picture (Kim et al, 2014)
  19. 19. Picture in picture ● Controlled study ● Avoids transitions ● Learner preference ● No significant learning difference ● Implications for multimodality and cognitive load (Kizilcec, Papadopoulos, and Sritanyaratana, 2014)
  20. 20. Colour and highlights ● MOOC AB test ● Counter-intuitive results ● Dubious ● Worth further study (Simonite, 2013)
  21. 21. Other questions • Style and visual consistency • Eye line • Jump cuts vs multiple angles • Correlation of video format with learning • When is video appropriate?
  22. 22. Way forward ● Educators thinking like video producers and visa versa ● Data driven video production ● More detailed AB testing ● Understanding the role and importance of aesthetics
  23. 23. References Chen, Z., Chudzicki, C., Palumbo, D., Alexandron, G., Choi, Y.J., Zhou, Q. and Pritchard, D.E., 2016. Researching for better instructional methods using AB experiments in MOOCs: results and challenges. Research and Practice in Technology Enhanced Learning, 11(1), pp.1-20. Guo, P.J., Kim, J. and Rubin, R., 2014, March. How video production affects student engagement: An empirical study of mooc videos. In Proceedings of the first ACM conference on Learning@ scale conference (pp. 41-50). ACM. Hansch, A., Hillers, L., McConachie, K., Newman, C., Schildhauer, T. and Schmidt, P., 2015. Video and online learning: Critical reflections and findings from the field Kim, J., Guo, P.J., Seaton, D.T., Mitros, P., Gajos, K.Z. and Miller, R.C., 2014, March. Understanding in- video dropouts and interaction peaks inonline lecture videos. In Proceedings of the first ACM conference on Learning@ scale conference (pp. 31-40). ACM. Kizilcec, R.F., Papadopoulos, K. and Sritanyaratana, L., 2014, April. Showing face in video instruction: effects on information retention, visual attention, and affect. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (pp. 2095-2102). ACM.
  24. 24. References Pierce, M., 2015. Learning and Development: What Makes Videos Effective? Iconlogic. http://iconlogic.blogs.com/weblog/2015/02/learning-and-development-what-makes-videos-effective.html Reutemann, J., 2016. Differences and Commonalities–A comparative report of video styles and course descriptions on edX, Coursera, Futurelearn and Iversity. Proceedings of the European Stakeholder Summit on experiences and best practices in and around MOOCs (EMOOCS 2016), p.383. Simonite, T., 2013. As data floods in, massive open online courses evolve. Technology Review. Wulff, B., Rupp, L., Fecke, A. and Hamborg, K.C., 2013, December. The lecturesight system in production scenarios and its impact on learning from video recorded lectures. In Multimedia (ISM), 2013 IEEE International Symposium on (pp. 474-479). IEEE.