Prof. PhD. Pierre Dillenbourg
- Computer-Human Interaction Lab for Learning & Instruction
An AI-powered debate partner to enhance critical thinking with scalable and personalized learning experiences.
Learning by arguing is a well-established pedagogical approach that enhances critical thinking and deep engagement with course material. Despite its proven benefits, scaling this method in classrooms poses challenges for educators, particularly in ensuring quality debates among students. Recent advancements in Artificial Intelligence, particularly Large Language Models (LLMs) like GPT-4, offer promising solutions through the development of Pedagogical Conversational Agents (PCA). This project introduces ArgueMate, an AI-powered debate partner designed to facilitate structured argumentative discourse among students. Unlike traditional peer debates, ArgueMate provides scalable, personalized arguing experiences by dynamically adapting its stance and argumentative style to align with pedagogical objectives.
Starts soon
The project aims to deliver a research-informed and field-tested prototype of the ArgueMate tool that is practically applicable for both individual and collaborative learning in real-world classrooms. The tool is envisioned to be publicly available as an open-source, web-based application, allowing for easy integration into existing educational platforms and curricula.
Prof. PhD. Pierre Dillenbourg
