Evaluating and assessing learning in AI-embedded environments: perspectives across learning scientists

A hybrid poster symposium of eight studies framing evaluation of AI-supported learning as a relational, ethical practice rather than a matter of technical accuracy. Across classrooms, tutoring, and teacher coaching, researchers use discourse analytics, video analysis, and practical measures to examine AI's effects on collaboration, belonging, and cognition through human-centered, equity-oriented design.