AI evaluation of LLM-generated mathematical content and systematic review (AI in Mathematics Education)
Evaluated LLM-generated mathematical explanations, proofs, and educational content for correctness, reasoning quality, and pedagogical soundness. Performed systematic review and synthesis of AI-related research findings to inform assessment criteria and quality judgments. Documented errors in AI-generated mathematical solutions and used those insights to refine evaluation practices. • Checked factual accuracy and logical consistency of generated math content. • Assessed clarity and instructional appropriateness for teaching contexts. • Identified reasoning errors and mapped them to qualitative quality dimensions. • Synthesized evidence from peer-reviewed studies to support evaluation conclusions.