University Chemistry ›› 2026, Vol. 41 ›› Issue (7): 60-66.doi: 10.12461/PKU.DXHX202505042

• Study and Reform of Chemical Education • Previous Articles    

Exploration and practice of digital intelligence-empowered teaching models for professional experimental courses

Juanli Liu, Wenbo Zhang, Li Li, Xingping Luo, Siqimeige Ha, Zhenhua Li   

  1. College of Chemical Engineering, Northwest Minzu University, Lanzhou 730030, Gansu Province, China
  • Received:2025-05-15 Accepted:2025-08-01 Published:2026-06-27
  • Contact: Zhenhua Li E-mail:lizhh02006@163.com

Abstract: Using instrumental analysis experiments as a case study, this paper establishes a comprehensive teaching reform framework integrating blended online-offline instruction, virtual simulations with hands-on experiments, and artificial intelligence-enhanced project-based learning with designed experimental projects. We investigate an innovative teaching paradigm characterized by full-spectrum, multidimensional integration, including: the synergy between theory and practice, the combination of virtual simulations with real-world scenarios, the fusion of experimental skills with innovative practice, and the dual-driven mechanism linking curriculum-based ideological education with assessment evaluation. Furthermore, this study explores effective approaches to facilitate the integration of digital intelligence technologies into practical courses, thereby advancing the reform and innovation of smart teaching methodologies in higher education laboratory curricula.

Key words: Instrumental analysis experiment, Teaching reform, Multidimensional integration, Task engine