Sean Grindal – Applying emerging AI technology to Enhance Learning in the Classroom

The intern will be participating in research to evaluate ways to apply emerging AI technology and AI products to the Canadian education sector. Education topics of focus include but are not limited to, mathematics, physics, chemistry, biology, and computer science. The intern will evaluate the current AI landscape to discern the capabilities of the technology to be applied to the teaching of these subjects. Through collaboration with the partner organization (Cansbridge Fellowship) and the academic supervisor Prof. Francois Pitt, the intern will utilize their computer-science experience and previous work as a software developer to discern the difficulty of developing new AI applications using existing AI models to solve teaching problems that existing products aren’t yet suited for. The partner organization will provide direct mentorship through its alumni network spanning leadership in iconic innovation-leading organizations such as Google, Facebook, and dozens of startups. Helping to innovate Canada’s education system directly aligns with the Cansbridge Fellowship’s mission to help the next generation of innovative Canadian students.

Faculty Supervisor:

Francois Pitt

Student:

Partner:

Cansbridge Fellowship

Discipline:

Computer science

Sector:

Education; Other services (except public administration)

University:

University of Toronto

Program: