Rethinking Practical Teaching in Human Resource Management: An AI-Embedded Curriculum Framework

DOI: https://doi.org/10.62517/jhve.202616309

Author(s)

Du Juan

Affiliation(s)

Suzhou Vocational Institute of Industrial Technology, Suzhou, Jiangsu, China

Abstract

How AI tools should be incorporated into HRM practical teaching—not appended to the margins of an existing curriculum but woven into its structural core—is the driving question behind this paper. The study draws on a mixed-methods design combining framework development, model specification, and a single-institution pilot at Suzhou Institute of Industrial Technology. Central findings suggest that when AI competencies are distributed across all core HRM courses rather than quarantined in one elective, students demonstrate measurably stronger applied skills and show less hesitation when encountering novel HR technology tasks. The paper also elaborates a multi-stakeholder governance framework to handle the ethical dimensions that inevitably arise when real-seeming data and automated decision tools enter the classroom. Three governance levels—institutional, regulatory, and professional—are described, with the aim of giving faculty and administrators a usable reference for managing bias, privacy, and over-reliance risks.

Keywords

Artificial Intelligence; Human Resource Management; Practical Teaching; Teaching Model Innovation

References

[1] Li, J. W., Wu, C. B., Qian, S. Q. Intelligence-Led Human Resources: Research on Human Resource Management Paths Driven by Artificial Intelligence. Industrial Innovation Research, 2026(1): 180-182. [2] Zhao, W. Artificial Intelligence Drives Human Resource Management Transformation in Coal Industry: Exploration of Intelligent Practice Based on DeepSeek. Time-Honored Brand Marketing, 2025(20): 177-179. [3] Luo, W. H., Huo, W. W., Zhao, Y. X., et al. Artificial Intelligence-Driven Organizational and Human Resource Management Transformation: Practical Insights and Research Directions. Human Resources Development of China, 2025, 42(3): 16-25. [4] Liu, X. S. Innovative Paths and Practical Research on Human Resource Management Models in the Education Industry Empowered by Artificial Intelligence. Journal of Higher Education Research, 2025, 11(4): 162-165. [5] Yao, J. Research on Human Resource Management Innovation Driven by Artificial Intelligence. Business News, 2025(13): 177-179. [6] Yu, C. L. Innovative Practice of Human Resource Management Model Driven by Artificial Intelligence. Information Industry Report, 2023(5): 7-9. [7] Zhang, Q., Lin, J. Y., Chen, L., et al. Human Resource Management Driven by Artificial Intelligence Technology: Theoretical Research and Practical Application. Journal of University of Electronic Science and Technology of China (Social Sciences Edition), 2025, 27(4): 34-42. [8] Liu, S. M., Li, L. Exploration of the Inducements of Application Effects of Artificial Intelligence Technology in Curriculum Ideological and Political Education: Taking the Course "Human Resource Management" as an Example. Journal of Higher Education, 2025, 11(12): 1-4. [9] Jiao, Y. Q. Intelligence-Led Human Resources: A New Model of Human Resource Management Driven by Artificial Intelligence. Journal of Shaanxi Academy of Governance, 2025, 39(1): 31-36. [10] Ren, Y. W. A New Model of Human Resource Management Driven by Artificial Intelligence. China Businessman, 2025(16): 34-35. [11] Yuan, H. X. Analysis of the Influence Logic and Model Evolution of Artificial Intelligence Technology on Human Resource Management Practice. Business News, 2023(15): 191-194. [12] Chen, H. Q. Research on the Reform and Transformation Path of Human Resource Management Driven by Artificial Intelligence. Economist, 2025(12): 270-271. [13] Zhou, Z. H., Zong, P., Jiang, T. Research on Human Resource Management Innovation Driven by Big Data and Artificial Intelligence. Contemporary Economy, 2020(10): 3. [14] Huang, S. Q., Chen, A. H. Research on Human Resource Management Practice of R&D Personnel in A Technology Company under the Background of Human-Machine Collaboration. Time-Honored Brand Marketing, 2025(21): 45-47. [15] Yang, W. X. Practice and Exploration of Enterprise Human Resource Management Reform under the Trend of Intelligence. Talent Resource Development, 2019(21). [16] Liu, L., Lu, M., Wen, Y. Y. Exploration of Talent Training Model Reform in Human Resource Management Major Empowered by Artificial Intelligence. Microcomputer, 2025(23): 133-135. [17] Wang, Y. F. Ethical Challenges and Countermeasures of AI Application in Higher Education. Journal of Educational Technology, 2026(2): 45-52. [18] Chen, L. M. Current Status and Future Trends of AI-Driven HRM Education in China. China Vocational Education, 2026(3): 67-73.