The Practice and Exploration of Generative AI in Professional Education at Universities

DOI

10.2991/978-94-6463-674-1_2How to use a DOI?

Keywords

Generative AI; Higher education; Educational innovation

Abstract

The rapid advancement of artificial intelligence technology has spotlighted the application of Generative AI in higher education. This paper explores its utilization in professional education at universities, analyzing both its technical framework and pedagogical foundations. It presents application examples in literature, design, and programming, illustrating how Generative AI significantly improves teaching effectiveness and student learning experiences through scenario simulations, personalized learning materials, and interactive experiences. The paper also addresses the technical challenges associated with implementing Generative AI, such as ensuring content quality, safeguarding data privacy, and navigating ethical considerations. Additionally, it discusses the challenges related to technological adaptability for teachers and learning adaptability for students. To mitigate these challenges, the paper proposes strategies to enhance content quality, strengthen data privacy, address ethical issues, and improve adaptability among educators and learners. Ultimately, the paper underscores the vast potential of Generative AI in professional education and advocates for collaborative efforts among educators, technologists, and policymakers to foster its constructive development in the educational sector.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Chunbo Lin
PY  - 2025
DA  - 2025/03/17
TI  - The Practice and Exploration of Generative AI in Professional Education at Universities
BT  - Proceedings of the 2024 Seminar on Educational Technology and Management Information Systems (ETMIS 2024)
PB  - Atlantis Press
SP  - 4
EP  - 11
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-94-6463-674-1_2
DO  - 10.2991/978-94-6463-674-1_2
ID  - Lin2025
ER  -