AI and Education
Initiative
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Building an evidence base for responsible AI in education
I worry that, in terms of learning, using AI is like bringing a forklift to the gym. The weights gets lifted, but you don't get stronger.
Joshua Goodman
TJ McKenna
When we talk about personalized learning, I hope it is not a bunch of kids sitting in silence clicking at a computer. I hope it means every student gets personalized attention from a brilliant teacher.
Ola Ozernov Palchik
Only ~10% of the tools currently used in classrooms have undergone any type of research evaluation. We have kids spending time on apps with no evidence that they work.
The opportunity of generative AI is not efficiency alone, but the chance to rethink learning, creativity, and human expression in more intentional ways.
Pary Fassihi
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Research Spotlight
The EVAL Industry Collaborative
Evidence-Based AI in Learning (EVAL) Industry Collaborative combines education, cognitive science, and implementation research with cutting-edge methodologies to evaluate AI tools at scale, ensuring they align with how students learn and how teachers teach in diverse classrooms.
AI Curriculum Coach
This project empowers educators to find high quality STEM curricular materials, enabling them to easily customize the curriculum to meet the students in their classrooms. It helps K-12 science teachers adapt OpenSciEd lessons for their actual classrooms in real time. It is rule-based and deterministic with sub-5ms responses, and has supported 301 sessions across 31 states and 31 of 34 OpenSciEd units with no marketing spend.
Benefits and Limitations of AI in Supporting Teachers of Mathematics
The project, led by Leslie Dietiker, explores the ways ChatGPT can support teachers planning, while addressing our concerns about the lack of inquiry and student-centered features of ChatGPT-generated mathematics lesson plans.
We Believe in Learner- and Teacher-Centered Design