Trois décennies d'IA dans l'éducation : de l'évaluation à la collaboration en classe
PODCAST INVITÉ : Ed-Technical Saison 2 Épisode 1
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Welcome to Season 2 of Ed-Technical! This season Libby Hills from the Jacobs Foundation et le chercheur en IA Owen Henkel continuent de s'entretenir avec des chercheurs, des praticiens et des éducateurs de premier plan sur le sujet. Série de podcasts Ed-Technical Ce module porte sur les dernières avancées en matière d'IA dans l'éducation. Il vulgarise les concepts complexes de l'IA pour les rendre accessibles à tous, permettant ainsi aux enseignants de mieux comprendre les résultats de la recherche et de distinguer les informations pertinentes du simple effet de mode.
In the first episode of Season 2, Libby and Owen speak with Peter Foltz about his work at the intersection of cognitive science, AI, and education over the past few decades. Peter discusses his experience building an automated essay scoring system in the late 1990s, which provided students with immediate, formative feedback on their writing. Peter reflects on the potential of large language models to enhance these systems by offering more substantive feedback to help students become better thinkers, not just better writers.
They then discuss the challenges and opportunities of using speech-to-text AI in educational settings. Peter’s team uses AI to analyze student conversations during group work, providing insights into collaboration, respect, and equity within teams that is fed back to the students to reward positive contributions. Despite the technical difficulties of accurately capturing audio in noisy classrooms, Peter highlights the potential of these tools to support teachers in assessing and fostering effective teamwork among students. They also touch on the importance of co-designing these technologies with teachers, students, and parents to ensure their appropriate and acceptable use in the classroom.
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