title: Visual Analytics for MOOC Data.
abstract: With the rise of massive open online courses (MOOCs), tens of millions of learners can now enroll in more than 1,000 courses via MOOC platforms such as Coursera and edX. As a result, a huge amount of data has been collected. Compared with traditional education records, the data from MOOCs has much finer granularity and also contains new pieces of information. It is the first time in history that such comprehensive data related to learning behavior has become available for analysis. What roles can visual analytics play in this MOOC movement? The authors survey the current practice and argue that MOOCs provide an opportunity for visualization researchers and that visual analytics systems for MOOCs can benefit a range of end users such as course instructors, education researchers, students, university administrators, and MOOC providers.
authors.forename: Huamin
authors.initials: H
authors.lastname: Qu
authors.forename: Qing
authors.initials: Q
authors.lastname: Chen
mesh_terms: D003196:Computer Graphics; D003194:Computer-Assisted Instruction / Q000379:methods*; D057225:Data Mining / Q000379:methods*; D003628:Database Management Systems; D016208:Databases, Factual; D061108:Social Media / Q000458:organization & administration; D012984:Software; D014584:User-Computer Interface