Co-Designing AI-Based Orchestration Tools to Support Dynamic Transitions: Design Narratives Through Conjecture Mapping
15th Annual Conference on Computer Supported Collaborative Learning
Springer New York LLC
Dynamically transitioning between individual and collaborative learning has been hypothesized to have positive effects, such as providing the optimal learning mode based on students’ needs. 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 a sequence of three design sessions with teachers where we refine prototypes of an orchestration tool to support dynamic transitions. We leverage design narratives and conjecture mapping for the design of our novel orchestration tool. Our contributions include the orchestration tool itself; a description of how novel tool features were revised throughout the sessions with teachers, including shared control between teachers, students, and AI and the use of AI to support dynamic transitions, and a reflection of the changes to our design and theoretical conjectures.
Lawrence, L., *Guo, B., *Yang, K., Echeverria, V., *Kang, Z.,*Bathala, V., *Li, C., *Huang, W., Rummel, N., & Aleven, V. (2022). Process to co-design AI-based orchestration tools to support dynamic transitions: Design narratives through Conjecture Mapping. Paper accepted at the 15th Annual Conference on Computer Supported Collaborative Learning. International Society of the Learning Sciences.Hiroshima, Japan.
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