Serach process: Google scholar (currently broad overview) Queries:

• video quality online course
• Effect of Video Quality on Content Understanding in Online Courses
• video quality learning
• video quality online learning
• effect of video quality
• effect of video quality on user engagement
• impact of video quality on user engagement
• mooc massive open

+ some snowball search + all time and 2020 published

5 important papers (+content)

• How Video Production Affects Student Engagement: An Empirical Study of MOOC Videos
  • Results: good: short videos, talking heads, tablet drawings; bad: pre recorded classroom
  • Guo, P. J., Kim, J., & 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).
• Comparison of Educational Video Production Methods for Students Studying Computer Programming
  • Results: puppets (explain+) good for initial lectures / beginners; slides good for experienced students / reconfirms points
  • Ohashi, Y., Katsumata, M., Nakamura, K., Hashiura, H., Matsuura, T., Ishihara, J., … & Tsujimura, Y. (2019, March). Comparison of Educational Video Production Methods for Students Studying Computer Programming. In Proceedings of the 2019 7th International Conference on Information and Education Technology (pp. 105-110).
• Dropout Rates of Massive Open Online Courses: Behavioural Patterns
  • Results: high dropout rate (partly) due to students learning at their own pace
  • Onah, D. F., Sinclair, J., & Boyatt, R. (2014). Dropout rates of massive open online courses: behavioural patterns. EDULEARN14 proceedings, 1, 5825-5834.
• Multiple resources and performance prediction (Wicken 4-Dimensions)
  • Results: Brain has 4 dimensions with 2 levels each as a base capability, if two tasks need the same level of a dimension they will interfere → reducing performance
  • Wickens, C. D. (2002). Multiple resources and performance prediction. Theoretical issues in ergonomics science, 3(2), 159-177.
• Understanding the Impact of Video Quality on User Engagement
  • Results: Buffering reduces engagement, bitrate more important in live than recorded content
  • Dobrian, F., Sekar, V., Awan, A., Stoica, I., Joseph, D., Ganjam, A., … & Zhang, H. (2011). Understanding the impact of video quality on user engagement. ACM SIGCOMM Computer Communication Review, 41(4), 362-373.

Current research

• Comparison of Educational Video Production Methods (2019)
  • Results: puppets (explain+) good for initial lectures / beginners; slides good for experienced students / reconfirms points
  • Ohashi, Y., Katsumata, M., Nakamura, K., Hashiura, H., Matsuura, T., Ishihara, J., … & Tsujimura, Y. (2019, March). Comparison of Educational Video Production Methods for Students Studying Computer Programming. In Proceedings of the 2019 7th International Conference on Information and Education Technology (pp. 105-110).
• Improving online video lectures learning challeng (2020)
  • Results: Standings, problems and possible improvments for online learnig regarding pace, intelligibility, quality, media diversity, and congruence
  • Lange, C., & Costley, J. (2020). Improving online video lectures: learning challenges created by media. International Journal of Educational Technology in Higher Education, 17, 1-18.
• Advantages, Limitations and Recommendations for online learning during COVID-19 pandemic era (2020)
  • Results: advantages: remote learning, comfort, accessibility; limitations: inefficiency and difficulty in maintaining academic integrity; solution: train faculty on using online modalities and developing lesson plan with reduced cognitive load and increased interactivities
  • Mukhtar, K., Javed, K., Arooj, M., & Sethi, A. (2020). Advantages, Limitations and Recommendations for online learning during COVID-19 pandemic era. Pakistan Journal of Medical Sciences, 36(COVID19-S4).