MOOC Analytics: Learner Modeling and Content Generation

Guanliang Chen

Research output: ThesisDissertation (TU Delft)

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Massive Open Online Courses (MOOCs), as one of the popular options for people to receive education and learn, are endowed with the mission to educate the world. Typically, there are two types of MOOC platforms: topic-agnostic and topic-specific. Topic-agnostic platforms such as edX and Coursera provide courses covering a wide range of topics, while topic-specific MOOC platforms such as Duolingo and Codeacademy focus on courses in one specific topic. To better support MOOC learners, many works have been proposed to investigate MOOC learning in the past decade. Still, there are many other aspects of MOOC learning to be explored.

In this thesis, we focused on (i) learner modeling and (ii) generation of educational material for both topic-agnostic and topic-specific MOOC platforms.
Original languageEnglish
Awarding Institution
  • Delft University of Technology
  • Houben, G.J.P.M., Supervisor
  • Hauff, Claudia, Advisor
Award date6 May 2019
Print ISBNs978-94-028-1482-8
Publication statusPublished - 2019

Bibliographical note

SIKS Dissertation Series No. 2019-13

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