Researchers from Stanford University developed an AI system calledTutor CoPilot on top of OpenAI’s GPT-4 and integrated it into a platform called FEV Tutor, which connects students with tutors virtually. Tutors and students type messages to one another through a chat interface, and a tutor who needs help explaining how and why a student went wrong can press a button to generate suggestions from Tutor CoPilot.
The researchers created the model by training GPT-4 on a database of 700 real tutoring sessions in which experienced teachers worked on on one with first- to fifth-grade students on math lessons, identifying the students’ errors and then working with them to correct the errors in such a way that they learned to understand the broader concepts being taught. From this, the model generates responses that tutors can customize to help their online students.
“I’m really excited about the future of human-AI collaboration systems,” says Rose Wang, a PhD student at Stanford University who worked on the project, which was published on arXiv and has not yet been peer-reviewed “I think this technology is a huge enabler, but only if it’s designed well.”
The tool isn’t designed to actually teach the students math—instead, it offers tutors helpful advice on how to nudge students toward correct answers while encouraging deeper learning.
For example, it can suggest that the tutor ask how the student came up with an answer, or propose questions that could point to a different way to solve a problem.
#system #human #tutors #teaching #children #math
