The Role of Instructional Guidance in Generative AI-Assisted Learning: Empirical Evidence from Construction Engineering Education
A new study published on arXiv explores how instructional guidance can enhance the effectiveness of generative AI in construction engineering education. Researchers introduced a five-step prompting framework based on Generative Learning Theory to structure student interactions with AI during review activities. In a controlled experiment, students using the prompted AI framework showed significant improvements in tasks requiring explanation and reasoning compared to those using unprompted AI or traditional slide-based learning. AI
IMPACT Introduces a structured approach to AI-assisted learning that could improve educational outcomes in technical fields.