Designing for Self-Regulated Learning in AI-Assisted Quizzing: A Classroom Pilot Study
A classroom-deployed quiz system that combines integrity-preserving hinting (TA-AI), trace summarization (Analytics-AI), and feedback-driven refinement (AI-Improver) to generate instructor diagnostics from routine interaction logs is presented.