Adapting to Educate: Conversational AI's Role in Mathematics Education Across Different Educational Contexts

This study examines how conversational AI (LLM-based) supports K-12 mathematics educators during lesson preparation by analyzing educator-AI interactions across different educational contexts. The research evaluates AI's ability to adapt responses to educators' instructional needs, assessing accuracy, relevance, and usefulness of AI-generated pedagogical content and guidance.

As educational settings increasingly integrate artificial intelligence (AI), understanding how AI tools identify -- and adapt their responses to -- varied educational contexts becomes paramount. This study examines conversational AI's effectiveness in supporting K-12 mathematics education across various educational contexts. Through qualitative content analysis, we identify educational contexts and key instructional needs present in educator prompts and assess AI's responsiveness. Our findings i

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