Data generated from MOOCs, which operate around the clock, gather information on the page views, clicks, comments, and engagement of the tens to hundreds of thousands of students around the world taking courses at any given time.
Institutions are striving to realize that information's potential to improve course content, student experiences, and academic outreach to traditional and underserved communities. But first, they must separate the sea of data into meaningful categories presented in a usable form. Teams at Harvard and MIT aim to make this task easier by sharing tools, knowledge, and experiences with other institutions.
Read an EDUCAUSE post by members of the VPAL Research team and MIT researchers on their work to improve online learning.