Exploration and Practice of Artificial Intelligence-Empowered Electrical Engineering Course Teaching

Xia Dong; Xiaodong Yu; Ailing Wang

doi:10.6918/IJOSSER.202610_9(10).0001

Authors

Xia Dong Department of information and automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
Xiaodong Yu Department of information and automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
Ailing Wang School of Electrical Engineering, Shandong Huayu University of Technology, Dezhou 253034, China

DOI:

https://doi.org/10.6918/IJOSSER.202610_9(10).0001

Keywords:

Artificial intelligence; Electrical Engineering; AI agent; teaching reform.

Abstract

Based on the concept of "AI innovation integration and digital intelligence empowering education", this course closely aligns with the integrated development needs of "AI+electrical engineering", with large model technology as its core support, to build a personalized learning ecosystem of "teacher-student-intelligence". Relying on large model technology, abstract knowledge such as circuit principles and motor operating characteristics is visually transformed, and AI empowerment is targeted for optimization in combination with actual industry needs. An AI+ course map is constructed to reshape teaching content. An AI-driven personalized scenario featuring ternary interaction among "teacher-student-intelligence" is created, where multi-dimensional interactive AI agents provide precise evaluation and customized feedback, effectively facilitating the achievement of course objectives. Based on the deep foundation of the discipline and leveraging AI to explore ideological and political elements, precise irrigation is achieved to strengthen comprehensive literacy, focusing on the core goal of cultivating innovative engineering talents, and comprehensively improving teaching quality and talent cultivation effectiveness.

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References

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