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Learning Analytics in MOOCs: EMMA Case

Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)


The paper overviews the project—European Multiple MOOC Aggregator, EMMA for short, and its learning analytics system with the initial results. xAPI statements are used for designing learning analytics dashboards in order to provide instant feedback for learners and instructors. The paper presents dashboard visualizations and discusses the possibilities of use of EMMA learning analytics dashboard views for sensemaking and reflection of the MOOCs and MOOC experience. It investigates some of the MOOCs in EMMA platform as cases and analyzes the learning designs of those MOOCs. Recommendations of changes to learning designs based on learning analytics data are provided.


  • Massive Open Online Courses (MOOC)
  • Learning Analytics (LA)
  • LA Dashboards
  • LA System
  • xAPI Statements

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Correspondence to Maka Eradze .

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Eradze, M., Tammets, K. (2017). Learning Analytics in MOOCs: EMMA Case. In: Lauro, N., Amaturo, E., Grassia, M., Aragona, B., Marino, M. (eds) Data Science and Social Research. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham.

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