Generating Personalized Exercises in an Intelligent Tutoring System

Intelligent tutoring systems (ITS) are computer programs powered by artificial intelligence that can automate the tutoring process. They have the potential to provide low cost and highly scalable one-on-one tutoring to students around the globe in real-time. Their continued improvement is exciting for the future of education, and should be encouraged. Recent years have seen advances in the personalization of each student’s learning experience with an ITS (Kochmar et al., 2020). To further research into personalization, these systems should have the ability to provide question versions that are customized to the needs of each student. Pedagogical studies show that asking questions in the right way can hugely improve the learning gains of the student (Ashton-Jones, 1988) (Hrastinski, 2019). Generating question variants that can better match the needs of different students is the first step to help ITS ask each student the right questions, which is the goal of this project.

Faculty Supervisor:

Jackie Cheung

Student:

Partner:

Korbit Technologies

Discipline:

Computer science

Sector:

Information and cultural industries

University:

McGill University

Program: