explanation-generator

To generate detailed explanations for exam questions, input the question content directly. The system outputs a structured JSON containing answer explanations, incorrect option analysis, key concepts, and memory tips.

Yes, batch processing across subjects is supported alongside individual question handling. Input multiple exam questions to receive structured analyses for both multiple choice and open-ended items simultaneously.

Generating exam question analyses produces structured JSON fields including answer_explanation, incorrect_analysis, key_concept, clinical_relevance, memory_tip, related_topics, and source_citation for direct system embedding.

This question explanation generator supports both multiple choice and open-ended exam formats. It processes various subjects to provide reasoning for correct answers and detailed analysis of incorrect options.

The best way to help students understand incorrect options is using automated incorrect_analysis. It breaks down each wrong choice point by point, supplementing with key concepts and practical relevance for deeper learning.

Generating exam explanations handles clinical subjects by including clinical_relevance and source_citation fields. However, users should verify the automated source citations and specialized knowledge supplements for accuracy.