Panel: From Large Language Models to Learning Companions
Автор: GRAILE AI
Загружено: 2025-10-13
Просмотров: 61
Moderator:
Hassan Khosravi
Panelists:
Jason Lodge, Aneesha Bakharia, Peter Xing
The use of Large Language Models (LLMs) has demonstrated clear performance gains for students. Yet performance is only part of the story. Scholars caution that polished outputs may come at the expense of genuine learning, as students risk offloading critical thinking and problem-solving to AI. This panel explores how we can move beyond productivity to design AI learning companions that prioritise learning gains over performance gains, nurturing curiosity, understanding, and deeper engagement.
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