This podcast explores the use of artificial intelligence (AI) in peer assessment, a pedagogical method where students evaluate the work of their peers. Julien Morice welcomes Alain Goudey from Neoma Business School to discuss the benefits and challenges of this approach.
Key points:
Importance of peer assessment: Alain Goudey emphasizes that assessment is an integral part of learning, enabling a deeper understanding of the subjects studied. This encourages students to apply their knowledge by evaluating the work of their peers, enriching their own learning.
Peer evaluation tests: At Neoma Business School, peer evaluation tests have been carried out, showing that this method exposes students to a variety of approaches and solutions, making learning richer.
Impact of AI: Alain Goudey discusses the potential impact of AI on peer review, in particular how it can help automate certain aspects of review, while warning of the potential biases and errors that AI could introduce.
Constructive feedback: The importance of constructive feedback is emphasized, with the idea that students should be guided on how to evaluate constructively, including the use of evaluation grids to ensure the quality and relevance of feedback.
Peer assessment and generative AI: Alain Goudey addresses the challenge posed by generative AI in assessment, where students may be tempted to use these tools to complete their assignments. He suggests that, rather than seeing AI as a problem, it can be used to strengthen assessment mechanisms by providing richer analysis and more constructive feedback.
Developing a critical eye: An essential part of peer assessment is developing students' ability to constructively criticize the work of others, which is a valuable learning experience in itself.
