What Massive Open Online Course (MOOC) Stakeholders Can Learn from Learning Analytics?

Mohammad Khalil, Martin Ebner

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Massive open online courses (MOOCs) are the road that led to a revolution and a new era of learning environments. Educational institutions have come under pressure to adopt new models that assure openness in their education distribution. Nonetheless, there is still altercation about the pedagogical approach and the absolute information delivery to the students. On the other side with the use of Learning Analytics, powerful tools become available which mainly aim to enhance learning and improve learners’ performance. In this chapter, the development phases of a Learning Analytics prototype and the experiment of integrating it into a MOOC platform, called iMooX will be presented. This chapter explores how MOOC stakeholders may benefit from Learning Analytics as well as it reports an exploratory analysis of some of the offered courses and demonstrates use cases as a typical evaluation of this prototype in order to discover hidden patterns, overture future proper decisions, and to optimize learning with applicable and convenient interventions.
Original languageEnglish
Title of host publicationLearning, Design, and Technology
Subtitle of host publicationAn International Compendium of Theory, Research, Practice, and Policy
PublisherSpringer International Publishing AG
Number of pages30
ISBN (Electronic)978-3-319-17727-4
Publication statusPublished - 25 May 2016


  • MOOCs
  • Learning Analytics
  • Evaluation
  • Visualization
  • Privacy

Fields of Expertise

  • Information, Communication & Computing


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