A Knowledge-Driven Multi-Evaluation Framework for Art Pedagogy in the Digital Era
A knowledge-driven, multi-agent framework for art teaching evaluation that integrates multiple data sources, diagnostic, formative, and summative assessment phases, and a closed-loop feedback mechanism with dynamic weight adjustment is developed, converting behavioral data analytics into actionable pedagogical intellig...