A Study on the Course of Digital Electronic Technology Based on Knowledge Graph + AI Teaching Assistant

Yunli Gao; Xintong Liu; Zhenqiao Hui; Hongyan Wang; Ya Liu

doi:10.6918/IJOSSER.202603_9(3).0021

Authors

Yunli Gao
Xintong Liu
Zhenqiao Hui
Hongyan Wang
Ya Liu

DOI:

https://doi.org/10.6918/IJOSSER.202603_9(3).0021

Keywords:

Smart Course, Knowledge Graph, Task Engine, AI Teaching Assistant

Abstract

In response to the national strategy of educational digitalization and to deeply integrate artificial intelligence technology with education and teaching, the course "Digital Electronic Technology" has actively explored the construction of a smart course. Taking knowledge graph as the navigation tool, task engine as the driving core, and artificial intelligence as the enabling means, it has constructed an innovative PBL (Project-Based Learning) teaching system for "Digital Electronic Technology". Through knowledge graph to realize structured content navigation, task engine to optimize teaching process, and AI teaching assistant to empower personalized learning, a three-stage education system from knowledge transmission to ability construction and quality cultivation has been achieved. Practice shows that this system has significantly improved students' engineering practice ability and innovative thinking, providing a replicable paradigm for the construction of new engineering disciplines.

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