Workshop on integrated learning analytics of MOOC post-course development

Yuan Wang, Dan Davis, Guanliang Chen, Luc Paquette

Research output: Contribution to journalConference articlepeer-review


MOOC research is typically limited to evaluations of learner behavior in the context of the learning environment. However, some research has begun to recognize that the impact of MOOCs may extend beyond the confines of the course platform or conclusion of the course time limit. This workshop aims to encourage our community of learning analytics researchers to examine the relationship between performance and engagement within the course and learner behavior and development beyond the course. This workshop intends to build an awareness in the community regarding the importance of research measuring multi-platform activity and long-term success after taking a MOOC. We hope to build the community's understanding of what it takes to operationalize MOOC learner success in a novel context by employing data traces across the social web.

Original languageEnglish (US)
Pages (from-to)95-99
Number of pages5
JournalCEUR Workshop Proceedings
StatePublished - 2017
EventJoint MOOCs Workshops from the Learning Analytics and Knowledge Conference, LAK 2017 - Vancouver, Canada
Duration: Mar 13 2017Mar 17 2017


  • Learning analytics
  • Learning outcomes
  • Long-term development
  • MOOCs

ASJC Scopus subject areas

  • General Computer Science

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