Collaborative Learning in YouTube: Under Which Conditions Can Learning Happen or Fail to Happen?

  • Kalypso Iordanou
  • , Vered Aharonson
  • , Vasiliki Christodoulou
  • , Christos Karpasitis
  • , Jared Joselowitz
  • , Byron Lilford
  • , Maura De-Vos
  • , Smrithi Muraleedharan

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

Abstract

The present proposal presents two studies aiming to examine the conditions under which user engagement with YouTube videos related to climate change supports learning. Study I examined the context of interaction within the platform - threaded comments vs. independent comments. Study II, using machine learning, examined video content characteristics and presenters. Results showed that both video content characteristics and the context of interaction are related with learning. Threaded comments included more counterarguments and knowledge claims, compared with independent comments. Videos with scientists as presenters were more effective compared with videos with politicians or celebrities. Also, videos containing suggestions and solutions were the most effective, whereas videos containing blame for whose fault climate change were the least effective. Our findings show that YouTube has the potential to create communities of shared interest, with a shared commitment to solve a problem, making YouTube a promising platform to promote CSCL but also responsible citizenship.

Original languageEnglish
Title of host publicationInternational Collaboration toward Educational Innovation for All
Subtitle of host publicationOverarching Research, Development, and Practices - 15th International Conference on Computer-Supported Collaborative Learning, CSCL 2022
EditorsArmin Weinberger, Wenli Chen, Davinia Hernandez-Leo, Bodong Chen
PublisherInternational Society of the Learning Sciences (ISLS)
Pages569-570
Number of pages2
ISBN (Electronic)9781737330646
Publication statusPublished - 2022
Externally publishedYes
Event15th International Conference on Computer-Supported Collaborative Learning, CSCL 2022 - Virtual, Online, Japan
Duration: 6 Jun 202210 Jun 2022

Publication series

NameProceedings of International Conference of the Learning Sciences, ICLS
ISSN (Print)1814-9316

Conference

Conference15th International Conference on Computer-Supported Collaborative Learning, CSCL 2022
Country/TerritoryJapan
CityVirtual, Online
Period6/06/2210/06/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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