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MIT Professor’s Innovative AI Approach to Personalizing Assignments

Explore a new approach to how artificial intelligence can generate student engagement
Jason Jay at his TEDxBocaRaton talk: How to benefit from uncomfortable conversations
Jason Jay, a senior lecturer at MIT Sloan School of Management and the Director of the Sustainability Initiative at MIT Sloan, is reimagining teaching using generative AI. In his fall course, “Innovating for Impact”, he plans to experiment by leveraging new generative AI technology to guide students toward potential career paths. Instead of re-using last year’s assignment and reading a textbook, Professor Jay is testing a new homework assignment where students will have a guided conversation with ChatGPT. Students will leverage a prompt that Jay has designed to dive into their personal motivations and interests.

The article explains how Professor Jay trained ChatGPT to act as a personalized career coach (implementing the Ikigai framework) to help students identify what they love, what they are good at, what the world needs, and what they can get paid for. Using insights from their AI chats, Jay will be able to facilitate more meaningful and focused in-class discussions. This example represents a blend of traditional teaching frameworks with a touch of modern technology that enables a more personalized approach that resonates with each student individually.

Quite an innovative concept, don’t you think? You can review Jason’s original ChatGPT interaction below and continue the conversation for yourself! Could this type of approach help you and your clients foster deeper, more personalized discussions about their future plans?

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