Challenges and opportunities of dual-layer MOOCS: reflections from an edX deployment study

Carolyn Penstein Rosé, Oliver Ferschke, Gaurav Tomar, Diyi Yang, Iris Howley, Vincent Aleven, George Siemens, Matthew Crosslin, Dragan Gašević, Ryan Baker

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


This interactive event is meant to engage the CSCL community in brainstorming about what affordances in MOOCs would enable application of and research extending theories and best practices from our field. To provide a concrete focus as a foundation for this discussion, we present the innovative design of a recent edX MOOC entitled Data, Analytics, and Learning (DALMOOC). We have integrated several innovative forms of support for discussion based learning, social learning, and self-regulated learning. In particular, we have integrated a layer referred to as ProSolo, which supports social learning and self-directed learning. In further support of self-directed learning, intelligent tutor style exercises have been integrated, which offer immediate feedback and hints to students. We have integrated a social recommendation approach to support effective help seeking in the threaded discussion forums as well as collaborative reflections in the form of synchronous chat exercises facilitated by software agents. The event will include an overview, offering the opportunity for active engagement in the MOOC, structured brainstorming, and interactive, whole group feedback.
Original languageEnglish
Title of host publicationExploring the Material Conditions of Learning
Subtitle of host publicationComputer Supported Collaborative Learning (CSCL) Conference 2015
EditorsOskar Lindwall, Päivi Häkkinen, Timothy Koschmann, Pierre Tchounikine, Sten Ludvigsen
Place of PublicationGothenburg Sweden
PublisherInternational Society of the Learning Sciences
Number of pages4
ISBN (Print)9780990355076
Publication statusPublished - 2015
Externally publishedYes

Publication series

NameComputer-Supported Collaborative Learning
ISSN (Print)1573-4552


  • massive open online course
  • discussion-based learning
  • self-regulated learning
  • social learning

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