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
Citation
PAGANI, Margherita; Miller, Steven; and WIND, Jerry.
Reimagining education with AI. (2024).
Available at: https://ink.library.smu.edu.sg/sis_research/9312
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Artificial Intelligence and Robotics Commons, Educational Technology Commons, Higher Education Commons