Co-Designing an Artificial Intelligence–Based Orchestration Tool to Support Dynamic Transitions Between Individual and Collaborative Learning

• In Event: Design, Development, and Evaluation of Technology-Rich Tools

Abstract

Dynamically transitioning between individual and collaborative learning has been hypothesized to have positive effects, such as providing the optimal learning mode based on their needs at the moment. There are, however, challenges in orchestrating these transitions in real-time while managing a classroom of students. AI-based orchestration tools have the potential to alleviate some of the orchestration load for teachers. In this study, we describe co-design sessions with teachers where we refine prototypes of an orchestration tool to support dynamic transitions based on findings from previous user research. Our findings resulted in prototypes of the technology and insights from teachers regarding pairing strategies, data needed while pairing, and the AI’s role.

Authors

• LuEttaMae Lawrence, Utah State University

• Boyuan Guo, Carnegie Mellon University

• Kexin Yang

• Vanessa Echeverria, Escuela Superior Politécnica del Litoral

• Nikol Rummel, Institute of Education - Ruhr-Universität Bochum

• Vincent Aleven, Carnegie Mellon University