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Lightweight Prompt Engineering for Cognitive Alignment in Educational AI: A OneClickQuiz Case Study
This paper investigates how different prompt engineering strategies affect the cognitive alignment of AI-generated quiz questions with Bloom's Taxonomy levels in OneClickQuiz, a Moodle plugin for automated quiz generation. The study evaluates three prompt variants using automated classification and human review to determine which approaches best ensure pedagogically appropriate question generation at intended cognitive levels.
The rapid integration of Artificial Intelligence (AI) into educational technology promises to revolutionize content creation and assessment. However, the quality and pedagogical alignment of AI-generated content remain critical challenges. This paper investigates the impact of lightweight prompt engineering strategies on the cognitive alignment of AI-generated questions within OneClickQuiz, a Moodle plugin leveraging generative AI. We evaluate three prompt variants-a detailed baseline, a simpler