Research on the Teaching Model Reform of Human Resources Courses in the Era of Artificial Intelligence

Abstract

The evolution of artificial intelligence technology is driving the transformation of the human resource management paradigm from experience- and process-driven approaches to data-driven and strategic synergy, posing systematic challenges to the existing talent cultivation system in higher education institutions. This study aims to explore corresponding reform pathways for the teaching models of related courses. It first analyzes the restructuring of knowledge systems, the shift in competency requirements, and the limitations of traditional teaching triggered by intellectualization. Subsequently, it proposes reconstructing teaching objectives with "intelligent augmentation" and "strategic synergy" as the core, building a curriculum system that integrates "modular foundations" with "cutting-edge developments," and steering evaluation towards the cultivation of thinking. Finally, it designs a three-dimensional teaching model that integrates artificial intelligence elements: immersive learning based on scenario simulation and decision-making deduction, personalized pathway adaptation through intelligent tutoring, and the transformation of teachers' roles into curriculum designers and learning ecosystem constructors, aiming to provide a systematic framework for future-oriented human resource education.