The foundational question for Strand 2 is: What advances in theories, interaction-paradigms, and frameworks are needed to orchestrate effective student and teacher interactions with AI partners? To address this, Strand 2 has narrowed their focus toward three main themes: (1) Enacting Framework and Measurement Methods of Student-AI Teaming, (2) Collaborative...

Our Strand 1 team works toward developing new advancements in how machines process human language, gestures, and emotions to create an AI Partner that can understand and facilitate classroom collaboration. The team kicked off iSAT’s third year by identifying three main research themes in which to focus their efforts: (1)...

Strand 3: Broadening Participation with Co-Design Strand 3 is guided by the foundational question: In what ways can inclusive co-design processes empower stakeholders with diverse identities to envision, co-create, critique, and apply AI learning technologies for their schools and com- munities? In year three, Strand 3 is focused on three...

iSAT has come a long way since our start in September 2020. We’ve stood up the Institute during a global pandemic; we’ve navigated entering middle school classrooms across two school districts; we’ve co-designed curriculum units with middle school teachers; we’ve created new metaphors for the different roles of our AI...

iSAT faculty and postdocs came together from all over the country for a two day, in person meeting at CU Boulder at the end of September. The major goal of the event was to converge on designs for the AI Partner. The design of an AI Partner is a complex...

The Learning Futures workshops aim to engage a diverse group of high school-aged youth to deliberate the role of AI in supporting classroom collaboration. These workshops provide an opportunity for youth to express and explore their hopes and concerns surrounding the use of AI in the classroom. The goal is...

The foundational question for Strand 2 is: What advances in theories, interaction-paradigms, and frameworks are needed to orchestrate effective student and teacher interactions with AI partners? Building on their accomplishments over the winter and spring, the Strand 2 team focused their attention on three main goals over the summer: 1)...

Strand 1 researchers are working to answer the foundational question: What AI advances are needed to understand and facilitate collaborative learning conversations? These team members enable our AI Partner to recognize the various complexities of human speech – essentially creating the “eyes” and “ears” of the Partner. Advancing AI Components...

Socio-collaborative learning is key to students’ development of deep conceptual understand- ings, but it can be challenging for educators to monitor and orchestrate the collaboration occurring within each group in the classroom. iSAT aims to expand the scope of what can be sensed in the classroom to provide actionable information...

After many months of designing and planning, Strand 3’s co-designed unit “How can we make video games that reflect the world we want to live in?” launched in May. Imple- mented by two math teachers at the Denver Center for International Studies at Montbello - a secondary school in Denver...