erdEducation Reform and Development2652-53642652-5372Bio-Byword Scientific Publishing Pty. Ltd.10.26689/erd.v8i3.14614ArticleExploration of Innovative Teaching Models for Electrical Engineering Courses in the Context of “AI+” -- Taking Electrical Machinery as an Examplehttps://artdesignp.com/journal/erd/8/3/10.26689/erd.v8i3.14614ChaoXuewei,ChaiZhaosen,QiXiaodong2026832026-04-21Driven by the dual forces of “AI + Education” and the development of Emerging Engineering Education, electrical engineering courses face challenges characterized by intensive interdisciplinary knowledge, strong engineering orientation, and heightened demands for personalization. Electrical Machinery, as a core foundational course for electrical engineering majors, features a complex knowledge system and requires tight integration of theory and practice. Traditional teaching methods struggle to meet the needs for structured knowledge presentation, resource integration, and personalized guidance. Based on its specific characteristics, this study constructs a multimodal knowledge graph to achieve networked associations between disciplinary knowledge and engineering resources. By employing machine learning to collect and analyze student data related to theory, practice, and engineering tasks, a multi-dimensional learning evaluation model is established and integrated throughout the blended learning process. Practice has shown that this model strengthens students’ systematic understanding of knowledge, enhances their ability to apply theory and engage in engineering practice, assists teachers in precise instruction and dynamic resource iteration, provides an operable pathway for the deep integration of AI and electrical engineering courses, and holds promotional value for the intelligent reform of engineering-oriented courses.

Bao P, Xing W, Lu W, et al., 2021, Research on the Innovation of Teaching Mode for Artificial Intelligence Practice Courses under the Background of New Engineering. Computer Education, 2021(06): 105–109.

Li H, 2022, Exploration on the Cultivation of Applied Talents in Electrical Engineering under the Background of New Engineering Construction——Taking the Teaching Innovation Reform of the Electrical Appliances and PLC Control Technology Course as an Example. University, 2022(19): 119–123.

Chen J, Liu Y, Zhang L, 2021, Research on the Reform of the Electrical Engineering Curriculum System under the Background of Emerging Engineering Education. Higher Education Exploration, 2021(3): 45–50.

Duan X, Duan W, Gu C, et al., 2025, Discussion on the Teaching Reform Scheme of Electrical Machinery Course Based on OBE Concept. Innovation and Entrepreneurship Theory Research and Practice, 8(05): 30–33.

Qiu S, Sun M, Cheng H, et al., 2025, Research on the Integration of Teaching Reform and Course Knowledge Graph from the Perspective of Knowledge Association. China Modern Educational Equipment, 2025(21): 158–161.

Wang Z, Zhang M, Zeng W, 2025, Research on the Reform and Innovation of the Teaching Mode for the Network and New Media Major Based on Artificial Intelligence——Taking the Course of New Media Product Design and Project Management as an Example. Communication and Copyright, 2025(21): 105–107.

Li J, Shu X, 2025, Practical Research on the Reform of Integrated Wisdom Theory and Practice Teaching Based on Knowledge Graph and Intelligent Algorithm. Modern Vocational Education, 2025(32): 105–108.

Chao, Zhang D, Zhang J, et al., 2025, Exploration of Constructing a Personalized Learning Model Based on Artificial Intelligence Knowledge Graph——Taking the Undergraduate Course “Grassland Soil Biology” as an Example. Pratacultural Science, 2025: 1–11.

Wang Y, 2025, Research on Teacher Training Needs Analysis and Curriculum Innovation Mechanism Based on DeepSeek. Road to Success, 2025(22): 49–51.

Yao Y, 2022, Research and Reform of the “Artificial Intelligence” Teaching Mode Based on the OBE Concept. Computer Knowledge and Technology, 18(02): 167–169 + 180.

Li J, Li Q, Tian J, et al., 2025, Innovative Application of “AI+” Empowering BOPPPS Teaching Model in the “Clinical Anesthesiology” Course. Society and Philanthropy, (12): 270–272.

Xiong D, 2024, Research on the Path of Artificial Intelligence Promoting the Innovative Development of Teaching Modes in Application-Oriented Undergraduate Education——Taking the Architecture Major as an Example. Neijiang Science and Technology, 45(11): 97–99.