Exploring AI Integration in Engineering Education: A Framework for Product Representation and Behavioral Insights

Artificial intelligence (AI) is reshaping engineering education by enhancing creativity, collaboration, and problem-solving. This paper introduces a conceptual framework for integrating AI tools into undergraduate and graduate engineering courses, focusing on product representation schemes such as geometric modeling, technical drawing, and visual communication. The framework aims to bridge theoretical knowledge with practical applications, ensuring improved educational outcomes.The study provides a structured approach to evaluating the potential impact of AI on student learning, emphasizing outcomes like creativity, technical accuracy, and proficiency with advanced design tools. Although empirical data collection is not yet available, the framework is illustrated using ongoing scenarios and case studies to demonstrate its adaptability to diverse educational contexts. It also aligns with ethical standards like data integrity and equitable access.The framework lays the foundation for future empirical research, promoting innovative curriculum development and instructional design by leveraging AI tools such as virtual reality environments and AI-enhanced CAD systems.