Publication Type

Working Paper

Version

acceptedVersion

Publication Date

9-2024

Abstract

This chapter examines AI’s transformative potential in education, focusing on Generative AI (GenAI) and Large Language Models (LLMs) while at the same time emphasizing the importance of grounding and guiding AI efforts with learning science and education research findings. It synthesizes analyses and expert recommendations, highlighting opportunities like personalized learning and enhanced teacher productivity, alongside challenges such as over-reliance on AI. Practical steps for instructors include adopting a question-first approach, utilizing AI for personalized feedback, designing AI-enhanced learning experiences, fostering critical thinking, and ensuring ethical AI use. The chapter concludes with strategic recommendations for leveraging AI to sustainably improve educational practices

Keywords

Artificial Intelligence (AI) in education, Generative AI (GenAI) in Education, Student Learning with AI, Teaching with AI, AI and Education Transformation, Education Technology and AI

Discipline

Artificial Intelligence and Robotics | Educational Technology | Higher Education

Embargo Period

9-25-2024

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