Enhanced Comparative Framework for AI Integration and Learning Mindset Research in Engineering Education

This table offers a comprehensive comparison of five key studies in engineering education that explore the use of generative AI tools or examine the role of learning mindsets. It consolidates detailed attributes such as research problems, methods, tools used (e.g., LLMs), theoretical frameworks, assessment strategies, educational levels, and contextual factors like language and country. The dataset is designed to aid meta-analysis, cross-study synthesis, and evidence-based decision-making in AI-enhanced pedagogy and student learning research.