Engaging with Massive Online Courses Ashton Anderson Daniel Huttenlocher Jon Kleinberg Jure Leskovec Stanford University Cornell University Cornell University Stanford University
[email protected] {dph, kleinber}@cs.cornell.edu
[email protected] ABSTRACT tively little quantitative evidence to support or refute whether such The Web has enabled one of the most visible recent developments intuitions hold in the case of MOOCs. in education—the deployment of massive open online courses. With Understanding how students interact with MOOCs is a crucial is- their global reach and often staggering enrollments, MOOCs have sue, because it affects how we design future online courses and how the potential to become a major new mechanism for learning. De- we evaluate their effectiveness. For students who treat MOOCs like spite this early promise, however, MOOCs are still relatively unex- traditional courses, that run at a fixed pace over a fixed time period, plored and poorly understood. it makes sense to talk about students “falling behind” or “dropping In a MOOC, each student’s complete interaction with the course out.” But for students who might treat MOOCs as online refer- materials takes place on the Web, thus providing a record of learner ences works or textbooks, a completely different set of expectations activity of unprecedented scale and resolution. In this work, we would apply, in which the natural interaction style may consist of use such trace data to develop a conceptual framework for under- bursts of asynchronous engagement and selective sampling of con- standing how users currently engage with MOOCs. We develop a tent. For students who might use MOOCs to sharpen and test their taxonomy of individual behavior, examine the different behavioral skills in an area, it would be reasonable to see them undertaking patterns of high- and low-achieving students, and investigate how portions of the course work without ever viewing lecture content.