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What does an effective e-
learning video look like?
Don Leitch
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
Question
How do we know what makes an effective online educational video so that we
can implement best practices?
How we currently make decisions about videos
● Discussion
● Intuition
● Experience of video producers and learning designers
● Film theory
● Design
● Empirical research
Data & Research
Surveys
(Pierce, 2015)
Taxonomies
(Reutemann, 2016) (Hansch et al, 2015)
Video interaction data
(Guo, Kim and Rubin, 2014)
AB testing
(Chen et al, 2016)
Controlled experiments
(Kizilcec, Papadopoulos, and Sritanyaratana, 2014)
Recurring Theme
Engagement VS Learning
Recurring Theme
Most research on educational online videos involve findings in engagement
VS
Interesting findings
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)
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)
Rate of speech
● Correlated with engagement
● Faster is generally better
● Could be about enthusiasm
Framing
● LectureSight controlled study
● Importance of face and
gestures
● Improved recognition and
recall
● Very specific. Broader
research needed.
(Wulff et al, 2013)
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)
Picture in picture
● Controlled study
● Avoids transitions
● Learner preference
● No significant learning
difference
● Implications for multimodality
and cognitive load
(Kizilcec, Papadopoulos, and Sritanyaratana, 2014)
Colour and highlights
● MOOC AB test
● Counter-intuitive results
● Dubious
● Worth further study
(Simonite, 2013)
Other questions
• Style and visual consistency
• Eye line
• Jump cuts vs multiple angles
• Correlation of video format with
learning
• When is video appropriate?
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
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.
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.

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What does an effective e learning video look like?

  • 1. What does an effective e- learning video look like? Don Leitch
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  • 4. 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
  • 5. Question How do we know what makes an effective online educational video so that we can implement best practices?
  • 6. How we currently make decisions about videos ● Discussion ● Intuition ● Experience of video producers and learning designers ● Film theory ● Design ● Empirical research
  • 10. Video interaction data (Guo, Kim and Rubin, 2014)
  • 11. AB testing (Chen et al, 2016)
  • 14. Recurring Theme Most research on educational online videos involve findings in engagement VS
  • 16. 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)
  • 17. 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)
  • 18. Rate of speech ● Correlated with engagement ● Faster is generally better ● Could be about enthusiasm
  • 19. Framing ● LectureSight controlled study ● Importance of face and gestures ● Improved recognition and recall ● Very specific. Broader research needed. (Wulff et al, 2013)
  • 20. 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)
  • 21. Picture in picture ● Controlled study ● Avoids transitions ● Learner preference ● No significant learning difference ● Implications for multimodality and cognitive load (Kizilcec, Papadopoulos, and Sritanyaratana, 2014)
  • 22. Colour and highlights ● MOOC AB test ● Counter-intuitive results ● Dubious ● Worth further study (Simonite, 2013)
  • 23. Other questions • Style and visual consistency • Eye line • Jump cuts vs multiple angles • Correlation of video format with learning • When is video appropriate?
  • 24. 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
  • 25. 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.
  • 26. 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.