Computer Vision for Student Learning
NSF-Sponsored Project (1551572)
The objectives of the proposed project are designing
- a real-time computer vision system for detecting the affect of students
working with a computer tutor,
- a machine learning system for predicting student grit (self-efficacy
and persistence),
- methods for augmenting an existing computer tutor so that it adapts to
student needs and helps remediate low levels of student engagement and grit.
This is a collaborative project involving Boston University (PI Margrit Betke),
and three other institutions, University of Massachusetts Amherst (Lead PI
Beverly Woolf), Worcester Polytechnic Institute (PI Ivon Arroyo), and Clark
University (PI John Magee).
The project started in September 2016 and is projected to run until August 2020.
The research team at Boston University includes
BU CS Department Announcement, September 6, 2016.
This project is active during the academicyear of 2020/21.