Construction and Exploration of an Intelligent Analog Electronics Course Based on Generative AI

DOI: https://doi.org/10.62517/jnse.202617308

Author(s)

Yafan Chen*, Wei Liu, Fang Li, Lin Fu

Affiliation(s)

Beijing Information Science and Technology University, Beijing, China *Corresponding Author

Abstract

Facing to some teaching pain points in the course of " Analog Electronic Technology ", such as the knowledge is fragmented, the learning situation feedback is delayed and the self-directed learning efficiency is low, in this article, at the aim of the generative AI technology is integrated with Chaoxing Learning Platform, a visualized curriculum knowledge graph containing the ideological and political education element is constructed, and a full process intelligent learning status monitoring system is set up, this study constructs the hierarchical and personal hybrid smart classroom paradigm. The teaching practice proves that this model can help the students to build up the systematic knowledge system, realize the precise teaching and individualized instruction, and also to improve the teaching quality and learning effect.

Keywords

Analog Electronic Technology; Generative AI; Knowledge Graph; Intelligent Teaching

References

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