The Responses of Universities: The Challenges and Opportunities of Artificial Intelligence for the Development of Universities
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The Responses of Universities: The Challenges and Opportunities of Artificial Intelligence for the Development of Universities

Yue Shen 1*
1 The University of Edinburgh
*Corresponding author: Y.Shen-95@sms.ed.ac.uk
Published on 6 August 2025
Journal Cover
LNEP Vol.113
ISSN (Print): 2753-7056
ISSN (Online): 2753-7048
ISBN (Print): 978-1-80590-313-0
ISBN (Online): 978-1-80590-314-7
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Abstract

In recent years, the rapid advancement of Artificial Intelligence (AI) has led to its increasingly pervasive integration within the domain of higher education. Although the implications of AI--both its opportunities and challenges--have been widely acknowledged, scholarly inquiry into effective strategies and methodological frameworks for leveraging its potential while mitigating associated risks remains relatively underdeveloped. This study investigates the transformative potential of AI in driving innovation and progress within the higher education sector, as well as the challenges that universities and colleges are likely to encounter. It concludes that, in terms of opportunities and potential, AI can support university professors in delivering feedback and assessment, enhance students' learning, and improve administrative and management processes. However, higher education is grappling with a range of pressing challenges, notably those related to academic honesty and the standard of academic work, inaccuracies generated by AI, and the exacerbation of educational inequality. In response, this article advances several recommendations, including the promotion of diversified assessment approaches to facilitate the development of AI-resistant evaluation methods, alongside the creation of effective policy measures and strategic approaches that promote the accountable use of AI technologies.

Keywords:

Higher education, Artificial Intelligence, ethical guidelines

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Shen,Y. (2025). The Responses of Universities: The Challenges and Opportunities of Artificial Intelligence for the Development of Universities. Lecture Notes in Education Psychology and Public Media,113,8-14.

References

[1]. Gamage, K. A., Dehideniya, S. C. P., Xu, Z., & Tang, X. (2023). ChatGPT and Higher Education Assessments: More Opportunities than Concerns? Journal of Applied Learning & Teaching, 6(2).

[2]. Janpla, S., & Piriyasurawong, P. (2020). The Development of an Intelligent Multilevel Item Bank Model for the National Evaluation of Undergraduates. Universal Journal of Educational Research, 8(9), 4163-4172.

[3]. Samarakou, M., Fylladitakis, E. D., Karolidis, D., Fruh, W. G., Hatziapostolou, A., Athinaios, S., & Grigoriadou, M. (2016). Evaluation of an Intelligent Open Learning System for Engineering Education. Knowledge Management & E-Learning: An International Journal, 8, 496-513.

[4]. Escotet, M. Á. (2023). The Optimistic Future of Artificial Intelligence in Higher Education. Prospects.

[5]. Daniel, B. (2014). Big Data and Analytics in Higher Education: Opportunities and Challenges. British Journal of Educational Technology, 46(5), 904-920.

[6]. Susnjak, T. (2022). ChatGPT: The End of Online Exam Integrity? arXiv preprint arXiv: 2212.09292.

[7]. Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023). Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT. Education Sciences, 13(9), 856.

[8]. Sok, S., & Heng, K. (2023). ChatGPT for Education and Research: A Review of Benefits and Risks. Cambodian Journal of Educational Research, 3(1), 110-121.

[9]. Bourdieu, P. (1986). The Forms of Capital. In Richardson J., editor. (Ed.), Handbook of Theory and Research for the Sociology of Education, 241-258.

[10]. Hardman, P. (2023). Veto, Bypass or Flip? https: // drphilippahardman.substack.com/p/vetoing-bypassingand-flipping

[11]. Sok, S., & Heng, K. (2023). Opportunities, Challenges, and Strategies for Using ChatGPT in Higher Education: A Literature Review. Journal of Digital Educational Technology, 4(1), ep2401.

[12]. Baker, T., & Smith, L. (2019). Educ-AI-Tion Rebooted? Exploring the Future of Artificial Intelligence in Schools and Colleges.

References

[1]. Gamage, K. A., Dehideniya, S. C. P., Xu, Z., & Tang, X. (2023). ChatGPT and Higher Education Assessments: More Opportunities than Concerns? Journal of Applied Learning & Teaching, 6(2).

[2]. Janpla, S., & Piriyasurawong, P. (2020). The Development of an Intelligent Multilevel Item Bank Model for the National Evaluation of Undergraduates. Universal Journal of Educational Research, 8(9), 4163-4172.

[3]. Samarakou, M., Fylladitakis, E. D., Karolidis, D., Fruh, W. G., Hatziapostolou, A., Athinaios, S., & Grigoriadou, M. (2016). Evaluation of an Intelligent Open Learning System for Engineering Education. Knowledge Management & E-Learning: An International Journal, 8, 496-513.

[4]. Escotet, M. Á. (2023). The Optimistic Future of Artificial Intelligence in Higher Education. Prospects.

[5]. Daniel, B. (2014). Big Data and Analytics in Higher Education: Opportunities and Challenges. British Journal of Educational Technology, 46(5), 904-920.

[6]. Susnjak, T. (2022). ChatGPT: The End of Online Exam Integrity? arXiv preprint arXiv: 2212.09292.

[7]. Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023). Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT. Education Sciences, 13(9), 856.

[8]. Sok, S., & Heng, K. (2023). ChatGPT for Education and Research: A Review of Benefits and Risks. Cambodian Journal of Educational Research, 3(1), 110-121.

[9]. Bourdieu, P. (1986). The Forms of Capital. In Richardson J., editor. (Ed.), Handbook of Theory and Research for the Sociology of Education, 241-258.

[10]. Hardman, P. (2023). Veto, Bypass or Flip? https: // drphilippahardman.substack.com/p/vetoing-bypassingand-flipping

[11]. Sok, S., & Heng, K. (2023). Opportunities, Challenges, and Strategies for Using ChatGPT in Higher Education: A Literature Review. Journal of Digital Educational Technology, 4(1), ep2401.

[12]. Baker, T., & Smith, L. (2019). Educ-AI-Tion Rebooted? Exploring the Future of Artificial Intelligence in Schools and Colleges.

Cite this article

Shen,Y. (2025). The Responses of Universities: The Challenges and Opportunities of Artificial Intelligence for the Development of Universities. Lecture Notes in Education Psychology and Public Media,113,8-14.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICILLP 2025 Symposium: Psychological Perspectives on Teacher-Student Relationships in Educational Contexts

ISBN: 978-1-80590-313-0(Print) / 978-1-80590-314-7(Online)
Editor: Renuka Thakore, Abdullah Laghari
Conference website: https://2025.icillp.org/Nawabshah.html
Conference date: 17 October 2025
Series: Lecture Notes in Education Psychology and Public Media
Volume number: Vol.113
ISSN: 2753-7048(Print) / 2753-7056(Online)

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