DRIVER-SEAT
What is driver-seat?
DRIVER-SEAT, or the Dialogue Reinforcement Infrastructure for Volitional Exploratory Research - Soliciting Effective Actions from Teachers, will provide teachers with a quick and effective way to respond to student online homework. Similar to Google’s Smart Reply, which uses machine learning to let users send predictive or “suggested” human-like messages when responding to an email, DRIVER-SEAT will give teachers three suggested automated messages to respond to students’ math homework. The teacher can choose the most appropriate selection from the three choices to send to their student.
What the student will receive is a message that includes their teacher’s comment with some context showing what the teacher is referring to with their comment.
Teachers will help create our library by piloting a prototype system and selecting feedback to send their students. Library development will enable us to apply deep learning in an effort to discover how to help teachers efficiently reply to their students.
The proposed DRIVER-SEAT interface shows three different suggested comments for each student listed.
If you are a teacher of middle school mathematics (grades 6, 7 or 8) and are interested in learning more or participating in this paid grant opportunity, please email Brittany Gonio at mathachievement@lesley.edu for more information.
This is a product of WPI and Lesley Univeristy. The director of this project is Neil Heffernan. Hilary Kreisberg is a co-principal investigator.
The funding is from the NSF.
Initial versions of this will work in ASSISTments.org.