Student Learning in the Age of AI: Principles and Practices for Using AI in Higher Education

This chapter explores the transformative potential of generative AI in higher education, particularly its promise in addressing Bloom’s “two-sigma problem.” The chapter discusses the capabilities of state-of-the-art AI models like GPT-4 in providing virtual tutoring that rivals human tutors in knowledge, empathy, and availability. It emphasizes the necessity for critical engagement with AI to enhance learning, rather than merely offloading tasks. Key principles for effective AI interaction - context provision, iteration, and human-like communication - are outlined. The chapter also presents practical use cases for AI, demonstrating its application in explaining complex concepts, conducting low-stakes testing, and bridging disciplinary gaps.