
Learning to Be Green: A Pilot Study of the Gaia Multi-agent Tutor
Ahsen Çini, Pantelis M. Papadopoulos, Stergios Tegos, Apostolos Mavridis. Accepted at the International Conference on Artificial Intelligence in Education.
Read the announcementGaia · AI tutor
Gaia is a multi-agent conversational tutor developed in L2BGreen. It guides learners through real business cases, gives hints first and reveals answers only once they have stretched their own thinking.
Gaia runs as an interaction engine. Each agent takes care of one pedagogical job.
The case agent sets the scene: a real company, a real decision.
Hints and follow-up questions come before any answer.
Learners apply concepts to the case and to their own plans.
Argumentation-aware feedback points out gaps in reasoning.
One of the most encouraging findings is that learners did not only complete the activities, but actively interacted with Gaia.

Ahsen Çini, Pantelis M. Papadopoulos, Stergios Tegos, Apostolos Mavridis. Accepted at the International Conference on Artificial Intelligence in Education.
Read the announcementThe L2BGreen learning environment is open. Pick a case from the catalogue and work through it with Gaia, alone or with your class.

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