ARTICLE
26 May 2026

AI-Enabled Innovation in University Teaching Secretary Management Services: Practical Pathways and Theoretical Reflections

Lili Zhao1 Ming Yang1*
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1 Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, Shandong, China
CEF 2026 , 4(5), 47–52; https://doi.org/10.26689/CEF.v4i5.15097
© 2026 by the Author. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Artificial intelligence is reshaping the operation of university teaching administration. As frontline grassroots teaching managers, teaching secretaries face dual dilemmas: mounting administrative workloads and the absence of closed-loop quality feedback in all teaching management processes. Based on frontline practical experience, this paper sorts out efficiency bottlenecks under traditional management modes and explores feasible paths for AI to empower teaching secretaries' work by referencing existing university intelligent academic administration practices. The core value of AI lies not in replacing staff positions, but in redefining human-machine work boundaries: it frees teaching secretaries from repetitive mechanical work and allows them to focus on data interpretation, professional judgment, teacher-student communication and other creative educational work. This paper further sorts out realistic barriers restricting AI implementation, and clarifies that technological empowerment relies on coordinated progress in data governance, institutional support and staff role cognition. It proposes that teaching secretaries should shift from passive recipients of technology to active participants in process optimization and intelligent tool iteration, so as to reconstruct their professional value amid educational digital transformation.

Keywords
Artificial intelligence
Teaching secretary
University teaching administration
Human-machine collaboration
Digital transformation
References

[1] Shandong Jianzhu University, 2025, Construction and Application of the AI Academic Steward System. Shandong Jianzhu University, visited on April 20, 2026, https://www.sdjzu.edu.cn/info/1016/11503.htm.

[2] Hefei University of Technology, 2025, Launch of the “Hu Xiaobing” Intelligent Academic Administration Agent. Hefei University of Technology, visited on April 20, 2026, http://jwc.hfut.edu.cn/info/1245/5139.htm.

[3] Department of Education of Hunan Province, 2025, Construction Progress of Intelligent Teaching Evaluation Systems in Hunan Universities. Department of Education of Hunan Province, visited on April 20, 2026, https://jyt.hunan.gov.cn/jyt/sjyt/xxgk/jykx/202509/t20250903_1164851.html.

[4] Fu C, Sha S, 2026, Research on Reform and Innovation of University Teaching Administration in the Artificial Intelligence Era. Shanxi Youth, 9.

[5] Ni SS, 2026, Role Transformation and Professional Adaptation of University Teaching Administrators in the AI Era. Zhongguancun, 3.

[6] Zhang L, Fan X, 2025, Generative AI Empowering Grassroots University Teaching Management: Application Scenarios, Risks and Countermeasures. Proceedings of the 7th Symposium on Educational Information Technology Innovation and Development, 2.

[7] Li L, Zhong X, 2025, “AI + Education”: Boosting the Innovative Development of Vocational Undergraduate Teaching Administration. Ningxia Daily, April 10, 2025.

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