Jenay Robert, Ph.D. Research Project Manager Teaching and Learning with Technology The Pennsylvania State University
Clossen, A. S. (2018). Trope or Trap? Roleplaying Narratives and Length in Instructional Video. Information Technology & Libraries, 37(1), 27-38.
It is impossible to please everyone all the time—at least that is what survey results suggest. There are several takeaways to this study: Video length matters, especially as a consideration before the video is viewed. Timestamps should be included in video creation, or it is highly likely that the video will not be viewed. The video player is key here, as some video players include video length, while others do not. Videos that exceed four minutes are unlikely to be viewed unless they are required. Voice quality in narration matters. Although preference in type of voice inevitably varies, the actor’s voice is noticed over production value. It is important that the narrator speaks evenly and clearly. For brief how-to videos, there is a small preference for screencast instructional videos over a narrative roleplay scenario. The results of the survey indicate that roleplay videos should be wellproduced, brief, and high quality. However, what constitutes high quality is not very well established.15 Finally, screencast videos should include an example scenario, however brief, to ground the viewer in the task.
Lin, S., Aiken, J. M., Seaton, D. T., Douglas, S. S., Greco, E. F., Thoms, B. D., & Schatz, M. F. (2017). Exploring Physics Students’ Engagement with Online Instructional Videos in an Introductory Mechanics Course. Physical Review Physics Education Research, 13(2), 020138-1.
Kruse, N. B., & Veblen, K. K. (2012). Music teaching and learning online: Considering YouTube instructional videos. Journal Of Music, Technology & Education, 5(1), 77-87. doi:10.1386/jmte.5.1.77_1
Buzzetto-More, N. A. (2014). An Examination of Undergraduate Student’s Perceptions and Predilections of the Use of YouTube in the Teaching and Learning Process. Interdisciplinary Journal Of E-Learning & Learning Objects, 1017-32.
Chekuri, C., & Tiecheng, L. (2007). Extracting content from instructional videos by statistical modelling and classification. Pattern Analysis & Applications, 10(2), 69-81.
My note; too old as data but interesting as methodology