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Build the System is a new cross-strand group focused on designing the software components and architecture for the AI Partner. The group convened over the fall to identify and design individual software components (e.g., Speech

We last left our intrepid Strand 1 researchers on the precipice of the incoming classroom data from our cross-strand data collection team. As this new data comes in, the Strand 1 team spent the quarter facing a new challenge

During our summer, we formed our cross-strand Fall 2021 Data Collection team to begin the all-important task of going into real K–12 classrooms to support teachers implementing our Curriculum Units and collect the data we need to develop our AI

Check out our fall newsletter to learn what our three research strands have been up to; how we're building our technical infrastructure; and how are researchers are collecting data from middle school classrooms across two school districts

We're excited to wecome Amy Corbitt to our team as our External Communications Professional!

What role should our AI Partner take in the classroom? Is it a co-pilot? A community builder? Or something else? Learn about how we flew in iSAT members from across the United States for a three-day design sprint to answer this question and more!

Developing the next generation of equitable, collaborative learning environments is an exciting and important mission, but one that is nearly impossible without data. Enter our latest cross-strand collaboration endeavour—the iSAT Fall 2021 Data

Neither COVID nor IRBs nor faulty Zoom calls stay this institute from our mission. The NSF AI Institute for Student-AI Teaming (iSAT) had a busy first year, despite the numerous challenges set by starting an institute in the midst of a pandemic.

Over the past year and up to the current quarter, our Strand 1 researchers laid the foundational work needed to tackle their main challenge—developing new advancements in how machines process human language, gestures, and emotions. Strand 1’s work

Our team science experts in Strand 2 strive to better understand how students, AI, and teachers can collaborate effectively in both classrooms and remote learning contexts. Their work during our first year focused on designing our AI-enabled