On the likes and dislikes of Youtube's educational videos: A qantitative study

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

As major product of information technology, YouTube is a ubiquitous source for education, also in the field of information technology. Learners, however, are facing the increasing problem of finding appropriate videos on YouTube efficiently. Users' rating in terms of Likes and Dislikes could provide a starting point. However, it is unclear what the number of Likes and Dislikes reveal about the video. This paper tries to create links between different video features and users' rating of YouTube's educational content. For this purpose, 300 educational videos were collected and analyzed and regression models were established that describe the number of Likes per view and the number of Dislikes per view as functions of different video features and production styles. Results show that the number of Likes per view can be predicted more reliably than the number of Dislikes per view. The number of Likes per view increases with higher video resolution and higher talking rate (words per second), and when the instructor or tutor speaks English as a native language. Videos using explanations on paper or whiteboard as well as videos that use more than one style attract more Likes per view. In contrast, the model that describes the number of Dislikes per view has a low adjusted R-squared and the contribution of its significant variables is rather difficult to interpret. This suggests that further research is required to understand users' behavior in terms of disliking an educational video.

Original languageBritish English
Title of host publicationSIGITE 2017 - Proceedings of the 18th Annual Conference on Information Technology Education
Pages127-132
Number of pages6
ISBN (Electronic)9781450351003
DOIs
StatePublished - 27 Sep 2017
Event18th Annual Conference on Information Technology Education, SIGITE 2017 - Rochester, United States
Duration: 4 Oct 20177 Oct 2017

Publication series

NameSIGITE 2017 - Proceedings of the 18th Annual Conference on Information Technology Education

Conference

Conference18th Annual Conference on Information Technology Education, SIGITE 2017
Country/TerritoryUnited States
CityRochester
Period4/10/177/10/17

Keywords

  • Dislikes
  • Likes
  • User behavior
  • Video features
  • Video production style

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