AI-Enhanced Engineering Education

Abstract

The chapter explores AI integration in engineering education, emphasizing customization, adaptive learning, and real-time data analysis. It discusses AI's role in enhancing student efficacy through personalized learning and early identification of learning difficulties. Innovative elements like wearables for self-monitoring are examined. Pedagogical frameworks and case studies of successful AI implementations are presented. Ethical and societal considerations including privacy and inclusiveness are addressed. It provides a comprehensive understanding of AI in engineering education, concluding with key insights and implications for proactive engagement with AI technologies to enhance student learning.