TEACHING REFORM EXPLORATION FOR THE “LITHIUM-ION BATTERY MATERIALS TECHNOLOGY” COURSE UNDER THE BACKGROUND OF AI-EMPOWERED NEW ENGINEERING

Authors

  • Jun Yang School of Chemical Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, Guangdong, China.
  • BinBin Xin School of Chemical Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, Guangdong, China.
  • Lei Wang (Corresponding Author) School of Chemical Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, Guangdong, China.
  • Chen Pan (Corresponding Author) Architecture and Civil Engineering Institute, Guangdong University of Petrochemical Technology, Maoming 525000, Guangdong, China.

Keywords:

Artificial intelligence, New Engineering, OBE concept, Micro-project-based teaching, Lithium-ion battery material technology

Abstract

With the rapid development of the new energy industry and the in-depth advancement of new engineering discipline construction, the talent cultivation model of the new energy materials and devices major in colleges and universities is facing new opportunities and challenges. As a core course of the New Energy Materials and Devices major, “Lithium-ion Battery Materials Technology” shoulders the important task of cultivating students’ material design ability, engineering practice ability and innovation ability. However, the traditional teaching mode has problems such as the disconnection between knowledge imparting and engineering application, insufficient students’ autonomous learning ability, and weak innovative practical training, which are difficult to meet the demands of engineering talent cultivation in the new era. This project is guided by the OBE educational concept, deeply integrating artificial intelligence technology with micro-project-based teaching, and constructing a three-in-one teaching model of “AI+ micro-projects + engineering cases”. Relying on intelligent tools such as ChatGPT, DeepSeek, Rain Classroom AI Workbench, Materials Project database and COMSOL Multiphysics simulation platform, typical micro-projects such as cathode material optimization, anode material modification, electrolyte development and solid-state battery material design are designed. Form a complete teaching chain of “knowledge acquisition - material design - performance prediction - engineering verification - outcome evaluation”. Teaching practice shows that this model has significantly enhanced students’ achievement of course objectives, engineering practice ability and innovative design ability, achieving a transformation from knowledge imparting to ability cultivation, and providing new ideas for the reform of new energy materials-related courses.

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Published

2026-06-23

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Section

Research Article

DOI:

How to Cite

Jun Yang, BinBin Xin, Lei Wang, Chen Pan. Teaching Reform Exploration For The “Lithium-Ion Battery Materials Technology” Course Under The Background Of Ai-Empowered New Engineering. World Journal of Educational Studies. 2026, 4(7): 31-37. DOI: https://doi.org/10.61784/wjes3181.