Adapting Collaborative Chat for Massive Open Online Courses: Lessons Learned

نویسندگان

  • Oliver Ferschke
  • Gaurav Tomar
  • Carolyn Penstein Rosé
چکیده

In this paper we explore how to import intelligent support for group learning that has been demonstrated as effective in classroom instruction into a Massive Open Online Course (MOOC) context. The Bazaar agent architecture paired with an innovative Lobby tool to enable coordination for synchronous reflection exercises provides a technical foundation for our work. We describe lessons learned, directions for future work, and offer pointers to resources for other researchers interested in computer supported collaborative learning in MOOCs.

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تاریخ انتشار 2015