创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (18): 176-178.

• 创新方法 • 上一篇    下一篇

人工智能驱动的高职院校单片机技术课程改革研究

王娟1, 李宝泉1, 张振涛2   

  1. 1.吉林工业职业技术学院,吉林省吉林市 132013;
    2.吉林化工大学 吉林省吉林市 132022
  • 出版日期:2025-09-25 发布日期:2025-11-18
  • 作者简介:王娟(1983—),女,吉林省吉林市人,博士研究生,副教授,研究方向:自动化。
  • 基金资助:
    吉林省高教科研课题“新一代信息技术企业与计算机应用技术专业群双创教育体系协同演化研究”(JGJX2023C172); 中国成人教育协会课题“数字化转型背景下单片机应用系统课程数字技能培养与实践探索研究”(2024-SJZD-017S)

Research on the Reform of Single Chip Microcomputer Technology Course in Higher Vocational Education Driven by Artificial Intelligence

WANG Juan1, LI Baoquan1, ZHANG Zhentao2   

  1. 1. Jilin Vocational College of Industry and Technology, Jilin City, Jilin Province, 132013, China;
    2. Jilin University of Chemical Technology, Jilin City, Jilin Province, 132022, China
  • Online:2025-09-25 Published:2025-11-18

摘要: 为满足模型轻量化部署与智能开发新范式迭代革新的需求,该文以单片机技术专业课程为例,结合新一代信息技术及专业群服务科技型地方经济的特点,提出课程改革方案:依托专业群建设,通过人工智能技术重塑课程内容体系与教学实践模式,探索STC51基础强化与STM32应用协同迁移的课程改革方案,提升学生在嵌入式系统开发中的工程实践能力与创新思维,有效解决当前大项目教学时间长、任务重、效果不佳、学生基础知识点掌握薄弱等核心问题,为高职院校新工科课程改革提供方向。

关键词: 基础强化, AI赋能, 双核驱动, STC51, STM32, 工程实践, 课程改革

Abstract: In response to the requirements of model lightweight deployment and the iterative innovation of new paradigms for intelligent development, this paper takes the single-chip microcomputer technology course in higher vocational education as an example. Combining the features of new-generation information technologies and the professional cluster's role in serving the technology-driven local economy, it proposes curriculum reform scheme. Building upon the development of our professional discipline cluster, we leverage AI technologies to restructure the curriculum content system and teaching practices. This initiative explores a course reform model that emphasizes strengthening STC51 fundamentals while enabling synergistic application migration to STM32 platforms. The goal is to enhance students'engineering practical skills and innovative thinking in embedded systems development, effectively addressing core problems in current large-project-based instruction, such as excessive duration, heavy workloads, poor outcomes, and weak mastery of students'foundational knowledge retention. This approach provides insights for Emerging Engineering education reform in technical colleges.

Key words: Foundation strengthening, AI empowerment, Dual-core drivers, STC51, STM32, Engineering practical skills, Curriculum reform

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