Reconceptualizing ChatGPT and generative AI as a student-driven innovation in higher education

Yun DAI, Ang LIU, Cher Ping LIM

Research output: Contribution to journalArticlespeer-review

29 Citations (Scopus)

Abstract

Higher education is poised at the precipice of the changes and challenges brought about by ChatGPT. This paper addresses some of the most fundamental questions about the role, position, and implications of ChatGPT and generative artificial intelligence (AI) tools amidst the evolving landscape of higher education and modern society. By linking technological affordances with educational needs, we conceptualize ChatGPT as a student-driven innovation with rich potential to empower students and enhance their educational experiences and resources. However, this empowerment comes at a price. It requires collaborative efforts among the stakeholders to address the new and emerging challenges regarding student training, higher education curricula and assessment, and technology development and governance. It also implies new directions for educational research and theories. Copyright © 2023 The Authors. Published by Elsevier B.V.

Original languageEnglish
Pages (from-to)84-90
JournalProcedia CIRP
Volume119
Early online date2023
DOIs
Publication statusPublished - 2023

Citation

Dai, Y., Liu, A., & Lim, C. P. (2023). Reconceptualizing ChatGPT and generative AI as a student-driven innovation in higher education. Procedia CIRP, 119, 84-90. https://doi.org/10.1016/j.procir.2023.05.002

Keywords

  • ChatGPT
  • Generative AI
  • Higher education
  • Learning analytics
  • Personalized learning
  • Engineering education

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