Using Social Network Analysis to explore Learning networks in MOOCs discussion forums

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Abstract

Learning and educational challenges in the field of indoor climate and building services like energy systems are mainly due to the transformation of professional practices and learning networks, a big shift in the way in which people work, communicate, and share their knowledge and the need for additional workforce, either juniors or coming from other disciplines. One of the most important factors that highly influence professional development and workplace learning is networked learning. Our goal in this study, is understanding the learning networks characteristics and patterns of interaction using Social Network Analysis techniques in three MOOCs discussion forums. The result of this study shows not only the importance of Learning networks and peer support on professionalization of learners, but also how pedagogical approach of instructors in MOOCs can foster learning networks. This novel approach in developing learning networks and communities is not only able to help connect young professionals and experienced practitioners digitally, but also it can promote professional development and innovation in the energy installation sector.
Original languageEnglish
Title of host publicationCLIMA 2022 - 14th REHVA HVAC World Congress
Subtitle of host publicationEye on 2030, Towards digitalized, healthy, circular and energy efficient HVAC
PublisherTU Delft OPEN Publishing
Number of pages6
DOIs
Publication statusPublished - 2022
EventCLIMA 2022 - 14th REHVA HVAC World Congress: Towards digitalized, healthy, circular and energy efficient HVAC - Rotterdam, Netherlands
Duration: 22 May 202225 May 2022
https://clima2022.org/

Conference

ConferenceCLIMA 2022 - 14th REHVA HVAC World Congress
Country/TerritoryNetherlands
CityRotterdam
Period22/05/2225/05/22
Internet address

Keywords

  • Professional learning networks
  • social network analysis
  • lifelong learning
  • Massive Online Open Courses

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