Generative AI in Education: Opportunities, Challenges, and Ethical Implications (2024 Pi Mu Epsilon Conference)
Abstract
This presentation delves into generative artificial intelligence, focusing on large language models like Bard, Bing, and ChatGPT. Insightful survey data on the current use of Artificial Intelligence (AI) in educational contexts is examined, underscoring its rapid emergence as a foundational element in contemporary teaching.
They discuss practical strategies for college math professors, high school instructors, and undergraduate students to incorporate AI into their educational practices effectively. Additionally, they address the limitations of generative AI, paying particular attention to the ethical and equity issues it presents. The talk concludes by analyzing AI's path forward and how it will affect math education. Participants will depart with an enhanced understanding of AI's educational possibilities and practical insights for leveraging this technology to augment their teaching and learning experiences.