An active viewing framework for video-based learning

Samuel Dodson, Ido Roll, Matthew Fong, Dongwook Yoon, Negar M. Harandi, Sidney Fels

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

Abstract

Video-based learning is most effective when students are engaged with video content; however, the literature has yet to identify students' viewing behaviors and ground them in theory. This paper addresses this need by introducing a framework of active viewing, which is situated in an established model of active learning to describe students' behaviors while learning from video. We conducted a field study with 460 undergraduates in an Applied Science course using a video player designed for active viewing to evaluate how students engage in passive and active video-based learning. The concept of active viewing, and the role of interactive, constructive, active, and passive behaviors in videobased learning, can be implemented in the design and evaluation of video players.

Original languageEnglish
Title of host publicationProceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018
ISBN (Electronic)9781450358866
DOIs
StatePublished - 26 Jun 2018
Externally publishedYes
Event5th Annual ACM Conference on Learning at Scale, L at S 2018 - London, United Kingdom
Duration: 26 Jun 201828 Jun 2018

Publication series

NameProceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018

Conference

Conference5th Annual ACM Conference on Learning at Scale, L at S 2018
Country/TerritoryUnited Kingdom
CityLondon
Period26/06/1828/06/18

Keywords

  • Active Viewing
  • Annotation
  • Video-Based Learning

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Education
  • Software
  • Computer Science Applications

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