Research on Intelligent Teaching Reform of Microcomputer Interface Technology Course Driven by AI

In response to long-standing pedagogical challenges in the microcomputer interface technology course, such as the difficulty in comprehending abstract concepts, establishing systems thinking, cultivating engineering capabilities, and implementing personalized instruction, this paper explores an intelligent teaching pathway centered on generative artificial intelligence technology. By constructing a four-dimensional collaborative intelligent teaching model encompassing intelligent content reconstruction, human-computer synergistic instruction, virtual-real integrated practical training, and data-driven teaching evaluation, this model promotes a systematic shift in the course's focus from knowledge transmission to competency development. Practice has shown that the generative AI-based personalized learning path planning, intelligent tutoring system assistance, and generative project-driven learning methods effectively enhance students' hardware system design capabilities, innovative thinking, and engineering practical skills.