Talks - Three Presentations AI and Technology

T13 - AI Integration in College Education

June 04, 2024 | 1:15 - 2:30 PM Concordia University, Henry F. Hall Building

Room: H-420

Exploring College Students’ Errors in Derivatives to Construct an Ai-Based Support System for Calculus Courses

This project’s objective is to analyze students’ errors in calculus to train and program a calculus tutoring system. First-year CEGEP students’ (n=14) errors on derivative tasks were analyzed using Siyepu’s (2013) framework. The analysis revealed several errors regarding the application of derivative rules (e.g., power rule and chain rule). With these findings, the AI-based tutoring system will be programmed to analyze students’ answers, detect errors and offer strategies to students in problem solving.

Presenters: Jonathan Morcos and Neerusha Baurhoo Gokool

Future-Ready Education: Highlights from Dawson College’s AI Curriculum Toolkit

This presentation highlights insights from Dawson College’s pioneering project to integrate an AI curriculum across CÉGEP programs. It focuses on the development of an AI curriculum toolkit designed to bridge the gap to more advanced resources and programs in higher education. Key challenges and recommendations for future-ready strategies from the toolkit are offered as signposts for navigating the complexities of AI education at the college level.

Presenters: Joel Trudeau and Robert Stephens

Learning Groups With Professionals in a Community of Practice to Apprehend the Emergence of AI: A Case Study of the Model at the Réseau Reptic

We delve into the process of establishing and managing learning groups within the Community of Practice (CoP) of Réseau REPTIC, at the Fédération des cégeps. Drawing from a real-world example—our first AI learning group—we explore each of the five steps in the annual cycle. Our discussion encompasses the context that led to the development of this framework, an analysis of its advantages and disadvantages, and an examination of its suitability for various participants.

Presenters: Marco Guilbault and Nathalie Bastien

Jonathan Morcos

Université de Montréal, Montreal

Neerusha Gokool-Baurhoo

Université de Montréal, Montreal

Currently, I am a PhD Candidate in Education at McGill University. My research focuses on exploring academic barriers that college (CEGEP) students with learning disabilities (LD) encounter in science education. As well, I am examining barriers that college science teachers experience in teaching their students with LD, and strategies that they employ to overcome their challenges. In collaboration with professionals and teachers at John Abbott CEGEP, I am investigating the impact of an intervention-based strategy on academic outcomes and motivation levels of student athletes.
I am also a part-time course lecturer in the Department of Animal Science, McGill University.

Joel Trudeau

Physics, Dawson College, Montreal

Since 2004 Joel Trudeau has taught in the Physics Department at Dawson College. He is project co-lead of the DawsonAI Artificial Intelligence initiative and founder of SPACE, an interdisciplinary student enrichment para-academic project. His work in education lies in the intersection of sciences, arts and technology, fostering an integrative approach to teaching and learning. Joel has led and collaborated on numerous research projects, primarily focusing on design-based, active, and experiential learning. With his collaborators he is committed to helping students develop vital skills to thrive in the AI era.

Robert Stephens

Dawson College, Montreal

Marco Guilbault

Fédération des cégeps

Nathalie Bastien