MIT confirms the approach behind EduGPT in new report

MIT published the final report of the Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training this month. Led by Eric Klopfer and Sam Madden, the committee examined how educational institutions should deal with AI in the learning process.

One of the key messages stands out. AI should enhance curiosity, creativity, and learning, not take over tasks that are part of the learning process. The committee explicitly refers to this as augmentation, not automation.

That principle is already at the core of EduGPT. The tool does not give pupils and students ready-made answers. It asks questions that keep the thinking work with the student, at the moment it is needed.

The report also emphasises that the use of AI in education is never finished. Continuous iteration based on what works in practice is listed as a requirement, not as an extra step afterwards. EduGPT works in the same way; every update is based on signals from real use in the classroom.

Would you like to read the report? You can do so here.

MIT Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training (2026). Report of MIT's Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training, https://web.mit.edu/files/AI-Committee-Final-Report.pdf