Workshop on Integrated Learning Analytics of MOOC Post-Course Development

Yuan Wang, Daniel Davis, Guanliang Chen, Luc Paquette

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)


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 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
Title of host publicationLAK 2017 Conference Proceedings of the 7th International Learning Analytics and Knowledge Conference
Place of PublicationNew York, NY
PublisherAssociation for Computer Machinery
Number of pages2
ISBN (Electronic)978-1-4503-4870-6
Publication statusPublished - 2017
EventLAK 2017: 7th International Conference on Learning Analytics and Knowledge - Vancouver, BC, Canada
Duration: 13 Mar 201717 Mar 2017
Conference number: 7


ConferenceLAK 2017
Abbreviated titleLAK'17
CityVancouver, BC
Internet address


  • Learning analytics
  • massive online open courses
  • long-term learning development
  • learning outcomes
  • career development


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