Instructional Prompt Corpus Used to Generate LLM Teaching Outputs

This dataset contains the 300 pedagogically grounded prompts constructed for the experiment, evenly distributed across five computing domains: programming fundamentals, data structures and recursion, algorithmic reasoning, debugging and error explanation, and security-sensitive concepts. Each prompt represents a realistic student-style instructional query designed to elicit explanatory or hint-based responses from the LLM under controlled experimental conditions.