Gabriela Torres V.’s Post

Research on AI applications in education is evolving rapidly, yet we still hear from schools that they do not feel they are moving at the pace needed to understand and adopt AI. Tomorrow, as part of the TECH WEEK by a16z, we will discuss where these gaps exist and how we can better translate research into scalable learning applications. I’ll be sharing more about the initiatives at #MAAIHub with Vishal Iyer, learning more about who is in the room, and I’ll be joined by an incredible panel bringing perspectives from research, emerging technologies, edtech, and ecosystem building. Ola Ozernov-Palchik— MIT and Evidence-Based AI in Learning (EVAL) Industry Collaborative at Boston University Kachina Studer - Massachusetts Institute of Technology Hamit Hamutcu - AIxEd Mireia Torello, PhD - Aikreate Nina HuntemannEDT&Partners Massachusetts Technology Collaborative Æthos Evidence-Based AI in Learning (EVAL) Industry Collaborative at Boston University The Open Accelerator AIxEd Aikreate Sabrina Mansur Adam Couturier Eric Paley

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Strong conversation to be having right now, especially on the gap between AI research velocity and real-world classroom adoption. What stands out is the focus on translation, not just innovation. The real challenge isn’t whether AI works in education anymore, but how quickly evidence-based approaches can be turned into scalable, teacher-ready tools. Looking forward to the insights from the panel, this is exactly where policy, research, and edtech need to converge more deliberately.

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I’ve been reading a lot of recent research on AI and education lately, and I keep noticing something interesting: Many of the ideas being discussed today are things we observed years ago while working directly with children. Not because we had the research. Because we had the practice. One question still stays with me: We teach children creativity, technology, and problem-solving. But do we teach them how systems actually work? Because in the real world, the best ideas don’t always win. Visibility matters. Networks matter. Access matters. Capital matters. Perhaps education should not only prepare children to succeed within systems, but also to question and redesign them

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Looking forward to a great session, see you bright and early tomorrow! Thanks for organizing Gabriela.

Looking forward to this!

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