Analytics & Feedback

Developing innovative approaches to understand and guide learning

We’re using new methods to peer into student learning, from analyzing log data of students’ collaboration to using automated scoring technologies to provide real-time feedback to students. And we’re designing systems to provide vital information and guidance to teachers for formative classroom use through interactive whole-class views and real-time background notes and suggestions.

For example,

We’re building a teacher dashboard supported by an intelligent tutoring system that provides information on student progress, tips for assisting individual students, and insights related to class-wide activity in a digital genetics learning environment. Learn more about GeniGUIDE.
We’re developing process analytics to make sense of the huge amounts of data associated with an open-ended engineering design task in our Big Data project.
In collaboration with the Educational Testing Service (ETS), we’re using an automated scoring engine to assess students’ written responses in real time and provide immediate feedback. Learn more about Automated Scoring for Argumentation.