AI赋能背景下《通信电子线路》课程教学改革与实践研究

Research on Teaching Reform and Practice of “Communication Electronic Circuits” Course under the Background of AI Empowerment

摘要: 为响应《江苏高校人工智能赋能专业建设行动方案》以及教育部有关人工智能赋能教育的相关要求，针对《通信电子线路》课程传统教学过程中存在的理论抽象、理解难度较高、实践教学受限、评价体系单一等问题，本研究开展了人工智能赋能的课程教学改革探索。通过搭建人工智能个性化学习平台，从教学方式、教学内容、考核评价三个维度构建“教师–人工智能–学生”三元教学模式：在教学方式层面，依托人工智能数据分析实现个性化学习路径定制与分层教学；在教学内容方面，借助人工智能技术使抽象知识具象化，并融入行业前沿案例；在考核评价方面，构建多维度人工智能辅助评价体系。实践结果表明，该改革能够有效激发学生的学习兴趣，提升教学效率与质量，为高校工科类课程的人工智能赋能教学提供了参考范例。

Abstract: In accordance with the “Action Plan for AI-Enabled Specialty Development in Jiangsu Higher Education Institutions” and the requirements of the Ministry of Education regarding AI-enhanced education, this research tackles the challenges in traditional “Communication Electronic Circuits” courses. These challenges encompass abstract theories, high levels of comprehension difficulty, limited practical teaching, and monotonous evaluation systems through AI-powered pedagogical reforms. By establishing an AI-driven personalized learning platform, a tripartite teaching model involving “teachers, AI, and students” has been developed across three dimensions: instructional approaches, content dissemination, and assessment systems. As for the “Teaching Methodology”, the platform facilitates AI-powered personalized learning trajectories and tiered instruction via data analysis; As for the “Instructional Content”, it transforms abstract knowledge into tangible concepts by integrating industry-leading case studies; And given the “Assessment Evaluation”, it establishes a multi-dimensional AI-assisted evaluation system. Practical outcomes indicate that this reform effectively stimulates student participation, improves teaching efficiency and quality, and offers a replicable model for AI-empowered instruction in engineering courses at higher education institutions.