English

Engaging with Massive Online Courses

Social and Information Networks 2014-03-17 v2 Physics and Society Machine Learning

Abstract

The Web has enabled one of the most visible recent developments in education---the deployment of massive open online courses. With their global reach and often staggering enrollments, MOOCs have the potential to become a major new mechanism for learning. Despite this early promise, however, MOOCs are still relatively unexplored and poorly understood. In a MOOC, each student's complete interaction with the course materials takes place on the Web, thus providing a record of learner activity of unprecedented scale and resolution. In this work, we use such trace data to develop a conceptual framework for understanding how users currently engage with MOOCs. We develop a taxonomy of individual behavior, examine the different behavioral patterns of high- and low-achieving students, and investigate how forum participation relates to other parts of the course. We also report on a large-scale deployment of badges as incentives for engagement in a MOOC, including randomized experiments in which the presentation of badges was varied across sub-populations. We find that making badges more salient produced increases in forum engagement.

Keywords

Cite

@article{arxiv.1403.3100,
  title  = {Engaging with Massive Online Courses},
  author = {Ashton Anderson and Daniel Huttenlocher and Jon Kleinberg and Jure Leskovec},
  journal= {arXiv preprint arXiv:1403.3100},
  year   = {2014}
}

Comments

WWW 2014

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