Construction and Practice of a Smart Curriculum for Digital Electronics Technology Oriented Toward Engineering Competency Cultivation

Abstract

Digital Electronics Technology is a core course linking foundational theory and engineering application in electronic information programs. In traditional teaching, students can memorize knowledge points and complete exercises, yet struggle to perform logic modeling, circuit design, simulation verification, and scheme expression in authentic tasks. Aiming at problems such as fragmented knowledge, verification-oriented experiments, delayed feedback, and result-oriented evaluation, this paper proposes a construction path for a smart curriculum oriented toward engineering competency cultivation. Taking competency achievement as the objective, project tasks as the driving force, and knowledge graphs with an AI teaching platform as support, it builds a teaching loop of knowledge-graph-guided learning, project-task driving, intelligent-companion feedback, and data-based diagnostic improvement. Knowledge points become competency nodes and verification experiments become design tasks. The key is not merely adding intelligent tools, but reconstructing content, activities, and evaluation around students’ engineering practice ability.