Generative AI for Learning: Perspectives and Pedagogical Issues
The use of generative AI in education represents a major revolution, offering unprecedented opportunities to improve teaching and learning methods. A look at the issue with Ange Tato, Assistant Professor in the Faculty of Education at Université Laval.
Date
- 25 October 2024
Time
12h00 to 13h00
Location
Hybid Event
On Zoom
At Université Laval, room 2765, pav. Adrien-Pouliot
Cost
The event will be presented via the Zoom platform.
Meet in room 2765 of Pavillon Pouliot, Université Laval. A pizza dinner will be served to those attending.
About the conference
The use of generative artificial intelligence (AI) in education represents a major revolution, offering unprecedented opportunities to improve teaching and learning methods. However, the universal and effective adoption of this technology faces a number of obstacles. In particular, the fact that the technology is new in itself and not yet fully understood or mastered by educational communities. In addition, UNESCO points to the absence of regulatory frameworks to ensure that their use in education adopts a human-centered approach.
This presentation will begin with a brief history of solutions using AI to enhance learning. We will then look at how generative AI is transforming education. The advantages and disadvantages of using AI to improve learning and teaching will be presented. The presentation will conclude with a discussion of the technical and ethical challenges associated with integrating generative AI in education, as well as current prospects for maximizing its positive impact while minimizing the risks.
Finally, recommendations will be made for the responsible implementation of generative AI in educational environments, emphasizing the need for collaboration between developers, educators and policy-makers.
About the speaker
Ange Adrienne Nyamen Tato, Assistant Professor, Faculty of Education, Université Laval
Ange Tato has been Assistant Professor of Educational Technology in the Faculty of Education since May 2024.
She holds a doctorate and a master’s degree in computer science (artificial intelligence) from the Université du Québec à Montréal, as well as a diploma in information systems engineering from the Mohammedia School of Engineers in Morocco. She worked as an AI specialist, then taught as a lecturer at UQAM before becoming a professor-teacher at the École de technologie supérieure de Montréal in the fall of 2022.
Her research interests focus on the uses of AI in education. In particular, the foundations of machine learning algorithms and generative artificial intelligence applied to education, with a focus on modeling and adapting learning to learner profiles through intelligent systems (e.g. Serious Games, Intelligent Tutorial Systems). She is also interested in the challenges associated with the use of such technologies in educational contexts, particularly with regard to ethics, equity, environmental impact and potential biases.
The results of her research have been presented at several international conferences.
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