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Applications and Implication of Generative AI in Non-STEM Disciplines in Higher Education

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AI-generated Content (AIGC 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1946))

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Abstract

There has been considerable research on the use of generative artificial intelligence techniques to support teaching and learning in science, technology, engineering, and mathematics (STEM) subjects in higher education. However, few studies have explored the role of such technologies in non-STEM subjects in higher education. This paper reviews the relevant literature on the application of generative AI in higher education and proposes the application and implications of using generative AI tools to support student and instructors work in non-STEM higher education disciplines. An assessment of the role of AI in complex student tasks in non-STEM subjects is provided. Several considerations for the effective use of generative AI in non-STEM higher education are suggested. Faculty and students should focus on: 1) ensuring that ethical and moral implications are addressed; 2) using AI to augment rather than replace human intelligence; 3) using AI as an instructional tool rather than a fully automated system; 4) using AI to improve academic assessment and self-assessment methods; 5) critically reviewing the results of generative AI systems.

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Notes

  1. 1.

    AI in Education: Change at the Speed of Learning, UNESCO Institute for Information Technologies in Education, https://iite.unesco.org/publications/ai-in-education-change-at-the-speed-of-learning/

  2. 2.

    Why the ‘intelligence’ of ChatGPT does not know how to solve this problem? Vincenti Botti, https://valgrai.eu/2023/04/12/why-the-intelligence-of-chatgpt-does-not-know-how-to-solve-this-problem/

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Acknowledgement

This project was supported in part by Guangdong Higher Education Association (23GYB118).

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Authors and Affiliations

  1. Zhujiang College of South China Agricultural University, Guangzhou, 510900, China

    Tao Wu

  2. Tianjin University of Finance and Economics, Tianjin, 300222, China

    Shu hua Zhang

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  1. Tao Wu
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  2. Shu hua Zhang
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Correspondence to Shu hua Zhang .

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Editors and Affiliations

  1. University of Science and Technology of China, Hefei, China

    Feng Zhao

  2. Tongji University, Shanghai, China

    Duoqian Miao

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Wu, T., Zhang, S.h. (2024). Applications and Implication of Generative AI in Non-STEM Disciplines in Higher Education. In: Zhao, F., Miao, D. (eds) AI-generated Content. AIGC 2023. Communications in Computer and Information Science, vol 1946. Springer, Singapore. https://doi.org/10.1007/978-981-99-7587-7_29

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  • DOI: https://doi.org/10.1007/978-981-99-7587-7_29

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  • Online ISBN: 978-981-99-7587-7

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