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| 面向AI盲区的“模拟电子”教学设计与实践 |
| Teaching Design and Practice of Analog Electronic Technology Facing AI Blind Spots |
| 投稿时间：2026-04-02 修订日期：2026-06-18 |
| DOI： |
| 关键词: 模拟电子技术 问题导向式 人工智能 |
| Key Words:analog electronic problem-oriented artificial intelligence |
| 基金项目:省高校教学建设项目,高校教育教学改革项目 |
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| 摘要点击次数: 45 |
| 全文下载次数: 0 |
| 摘要:伴随人工智能(AI)问答工具的广泛应用,知识获取呈现多元化特征,传统课堂的吸引力与教师的核心价值面临严峻挑战。教什么、怎么教成为课程改革存在的现实困惑。本文以《模拟电子技术基础》课程为例,提出了质疑AI的教学设计和实践方案。从真实交互数据中总结了课程知识AI盲区。通过教学案例优化改造、AI人机交互、师生质疑研讨环节,引导学生敢于质疑善于提问。实践表明,该教学设计可有效提升学生的批判性思维与创新能力,为AI时代课程改革提供了新思路。 |
| Abstract:With the widespread application of artificial intelligence (AI) question-answering tools, knowledge acquisition has exhibited diversified characteristics, posing severe challenges to the attractiveness of traditional classrooms and the core value of teachers. The dilemma of what to teach and how to teach has become a realistic confusion in curriculum reform. Taking the course "Fundamentals of Analog Electronics" as an example, this article proposes a teaching design and practical scheme that questions AI. It summarizes the AI blind spots in course knowledge from real interactive data. Through the optimization and transformation of teaching cases, AI human-computer interaction, and teacher-student questioning and discussion sessions, students are guided to dare to question and be good at asking questions. Practice has shown that this teaching design can effectively enhance students" critical thinking and innovation ability, providing new ideas for curriculum reform in the AI era. |
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