JCERJournal of Contemporary Educational Research2208-84662208-8474Bio-Byword Scientific Publishing Pty. Ltd.10.26689/jcer.v10i4.14757ArticleDigital Intelligence-Driven Optimization of Administrative Efficiency: A Case Study of University Party and Government Officehttps://artdesignp.com/journal/JCER/10/4/10.26689/jcer.v10i4.14757BiJinpeng,XiaoGuangchun,ShiYanbin,DuJin,LiuXiaofan20261042026-05-15In the era of digital intelligence, the digital transformation of university governance has become inevitable. As the administrative hub of secondary colleges, the Party and Government Office undertakes critical responsibilities, including policy implementation, document management, conference coordination, and overall administrative integration. Its operational efficiency plays a pivotal role in shaping institutional governance capacity and promoting high-quality development. Taking the Party and Government Office of the Faculty of Mechanical Engineering at Qilu University of Technology as a case study, this paper examines its functional roles and analyzes key challenges, including inefficient workflows, fragmented information systems, limited intelligent applications, and insufficient digital competencies among staff. To address these issues, the study proposes an integrated optimization framework that emphasizes platform development, process reengineering, data governance, intelligent application, and team capacity building. This framework aims to facilitate the transition from manual operations to digitally enabled management, enhance decision-support capabilities, and promote proactive service delivery.

Mabotha PAP, Ngcamu BS, 2026, Digital Transformation in the Higher Education Sector: A Systematic Literature Review. Administrative Sciences, 16(1): 1.

Benavides LMC, Tamayo Arias JA, Arango Serna MD, et al., 2020, Digital Transformation in Higher Education Institutions: A Systematic Literature Review. Sensors, 20(11): 3291.

Akour M, Alenezi M, 2022, Higher Education Future in the Era of Digital Transformation. Education Sciences, 12(11): 784.

Singun A, 2025, Unveiling the Barriers to Digital Transformation in Higher Education Institutions: A Systematic Literature Review. Discover Education, 4: 37.

AlKa’bi A, 2023, Proposed Artificial Intelligence Algorithm and Deep Learning Techniques for Development of Higher Education. International Journal of Intelligent Networks, 4: 68–73.

Gering Z, Feher K, Harmat V, et al., 2025, Strategic Organisational Responses to Generative AI-Driven Digital Transformation in Leading Higher Education Institutions. International Journal of Organizational Analysis, 33(12): 132–152.

Hou B, 2025, Research on Innovation of Work in University Party and Government Offices under the Background of Digital Intelligence Era. Journal of Liaoning Teachers College (Social Sciences Edition), 27(03): 135–137.

Ma Y, 2025, Research on Paths for Improving Work Efficiency of Secondary College Offices in Private Universities Empowered by Digital Intelligence. Office Operations, (13): 8–10.

Zhang L, 2025, Analysis of the Digital Transformation of University Administrative Management in the Information Age. Journal of Higher Education Teaching, 2(5): 305–309.