Construction and Practical Path of an AI-Teaching-Platform-Empowered Smart Curriculum for Digital Electronics Technology

Abstract

Aiming at problems in the traditional teaching of Digital Electronics Technology-fragmented knowledge structures, superficial classroom interaction, verification-oriented laboratory training, and delayed evaluation-this paper proposes a full-process smart curriculum construction path based on the functional system of an AI teaching platform. Taking the knowledge base, course model, AI applications, and decision center as the technical foundation and the curriculum knowledge graph as the organizing thread, the path embeds intelligent lesson preparation, one-click question generation, intelligent learning companions, AI teaching companions, intelligent grading, and teaching data analysis into preparation, classroom teaching, after-class learning, and evaluation. Taking arbitrary-modulus counter design as an example, an instructional process integrating these functions is designed. The study argues that the key lies not in stacking tools, but in reconstructing the teaching process around the course knowledge base and learning data, so that students transfer from knowledge memorization to logic design and from simulation verification to engineering expression through continuous feedback.