Identifying learning strategies associated with active use of video annotation software

Abelardo Pardo, Yu Zhao, Negin Mirriahi, An Zhao, Shane Dawson, Dragan Gašević

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

16 Citations (Scopus)

Abstract

The higher education sector has seen a shift in teaching approaches over the past decade with an increase in the use of video for delivering lecture content as part of a flipped classroom or blended learning model. Advances in video technologies have provided opportunities for students to now annotate videos as a strategy to support their achievement of the intended learning outcomes. However, there are few studies exploring the relationship between video annotations, student approaches to learning, and academic performance. This study seeks to narrow this gap by investigating the impact of students' use of video annotation software coupled with their approaches to learning and academic performance in the context of a flipped learning environment. Preliminary findings reveal a significant positive relationship between annotating videos and exam results. However, negative effects of surface approaches to learning, cognitive strategy use and test anxiety on midterm grades were also noted. This indicates a need to better promote and scaffold higher order cognitive strategies and deeper learning with the use of video annotation software.

Original languageEnglish
Title of host publicationLAK 2015
Subtitle of host publicationFifth International Conference on Learning Analytics and Knowledge 21—20 March 2015, Poughkeepsie, NY, USA
EditorsPaulo Blikstein, Agathe Merceron, George Siemens
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages255-259
Number of pages5
ISBN (Electronic)9781450334174
DOIs
Publication statusPublished - 16 Mar 2015
Externally publishedYes
EventInternational Learning Analytics & Knowledge Conference 2015: Scaling Up: Big Data to Big Impact - Marist College, Poughkeepsie, United States of America
Duration: 16 Mar 201520 Mar 2015
Conference number: 5th
https://web.archive.org/web/20150328092339/http://lak15.solaresearch.org/home

Conference

ConferenceInternational Learning Analytics & Knowledge Conference 2015
Abbreviated titleLAK 2015
CountryUnited States of America
CityPoughkeepsie
Period16/03/1520/03/15
Internet address

Keywords

  • Learning analytics
  • Learning strategies
  • Video annotation software

Cite this

Pardo, A., Zhao, Y., Mirriahi, N., Zhao, A., Dawson, S., & Gašević, D. (2015). Identifying learning strategies associated with active use of video annotation software. In P. Blikstein, A. Merceron, & G. Siemens (Eds.), LAK 2015: Fifth International Conference on Learning Analytics and Knowledge 21—20 March 2015, Poughkeepsie, NY, USA (pp. 255-259). Association for Computing Machinery (ACM). https://doi.org/10.1145/2723576.2723611