Volume 4,Issue 3
Research on Curriculum System Reconstruction of Intelligent Office Ability Cultivation from the Perspective of Industry-Education Integration
The explosive application of generative AI technology has driven profound transformations in corporate office operations toward intelligentization, collaboration, and data-driven approaches. Currently, foundational computer science courses in higher education institutions have failed to keep pace with this industrial revolution in terms of goal setting, content delivery, and teaching methodologies, resulting in structural mismatches between talent supply and industry demands. Grounded in industry-education integration perspectives and incorporating collaborative theory with competency-based education principles, this study analyzes the conceptual characteristics and evolutionary logic of intelligent office capabilities, while examining practical challenges in existing curricula such as goal misalignment, outdated content, and contextual gaps. The research proposes adopting outcome-based education (OBE) principles to reconstruct curriculum objectives, deconstructing typical work tasks to modularize instructional content, and implementing industry-academia collaborative pathways alongside diversified value-added evaluation mechanisms to achieve alignment between educational systems and industrial needs.
[1] Li X, Niu S, et al., 2024, Curriculum Development and Teaching Reflections on Computer Fundamentals in the Era of Artificial Intelligence. Tsinghua University Journal of Educational Research, 45(2): 42–49+70.
[2] Ye Y, Zhao M, 2020, Research on Teaching Reform of University Computer Fundamentals Courses in the Internet + Era: A Review of “University Computer Fundamentals”. Electroplating and Finishing, 42(3): 53.
[3] Zheng L, Guan S, Guo D, 2016, A Practical Study on Computer Fundamentals Teaching in Higher Education Guided by Computational Thinking. Heilongjiang Higher Education Research, 2016(2): 174–176.
[4] Chen J, Wu X, 2018, Challenges, Reflections, and Explorations in IT Fundamentals Teaching for Computer-related Majors. Computer Times, 2018(9): 75–78.
[5] Hao X, Zhang Q, 2019, Reform Exploration of Computer General Education in the Intelligent Era. China University Teaching, 2019(Z1): 72–74.
[6] Liu C, 2025, Educational Publishing in the Era of Artificial Intelligence: Challenges, Opportunities, and Exploration of Transformation Paths. Science and Publishing, 2025(9): 21–28.
[7] Zuo T, Wu T, Song X, et al., 2025, Challenges and Path Exploration of Artificial Intelligence Empowering Higher Education Transformation. Higher Education Development and Evaluation, 41(4): 30–41+130-131.