MIT and Harvard release de-identified learning data from open online courses

MIT News:

“We are excited to be able to present the data behind the reports we released in January. This step opens the door to more sophisticated analyses that build on what we have already done,” says co-lead researcher Isaac Chuang, a professor in MIT’s electrical engineering and computer science and physics departments. “MITx and HarvardX are committed to upholding learner privacy as well as advancing learning research. These data are a public good.”

Harvard’s Andrew Ho, Chuang’s co-lead, adds that the release of the data fulfills an intention — namely, to share best practices to improve teaching and learning both on campus and online — that was made with the launch of edX by Harvard and MIT in May 2012.
Ho and Chuang anticipate that the data will offer insight to other educational researchers. Moreover, the methods used to protect learner privacy comply with FERPA (Federal Education Rights and Privacy Act) regulations, which govern the release of such data. The practice should inform the release of future datasets from edX and offer lessons more broadly.