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 Collection team. Our creative team-naming chops aside, this team began working in tight sprints over our fourth...

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. Within the first three months of launch, we...

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 centers on developing an interactive AI Partner to listen to and analyze...

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 Collaborative Learning Environments (AICL), which are set to enter the lab testing phase...

The work of our Strand 3 research thrust—which focuses on empowering diverse stakeholders to envision and co-design AI learning technologies—is integral to meeting our central challenge of promoting deep conceptual learning via rich socio-collaborative learning experiences for all students. To help meet this challenge, our Strand 3 researchers completed the...