This study introduces an LLM-powered Smart Report Assistant grounded in audience analysis and assessment design principles. Using retrieval-augmented generation, the system helps teachers interpret assessment data through personalized and conversational reporting. Results from a usability study indicate promise for supporting score interpretation and data-informed instructional decision-making.

This pilot study investigated the use of a pedagogical agent to administer a conversational survey to second graders following a digital reading activity, measuring comprehension, persistence, and enjoyment. Analysis of survey responses and behavioral log data provide evidence for recommendations for the design of agent-mediated assessment in early literacy.