Analysis on the boundaries and practical application of AI-assisted teaching in the power system relay protection course
电力系统继电保护课程AI辅助教学边界探索及其实践

摘要

针对合理界定人工智能（Artificial Intelligence, AI）教辅手段在电力系统继电保护课程中的应用边界这一热点问题，文章基于成果导向教育（Outcome-Based Education, OBE）框架深度剖析了AI技术工具在理论教学、实验教学和考核评价环节中的整合方法及其实现路径。综述了继电保护的课程特点以及传统教学方式面临的突出问题，构建了面向学习成果的AI嵌入式辅助教学模型，明确了AI技术工具在知识传授、能力培养、素质教育等方面的合理应用范围。教学实践表明，优化教学目标、协调人机关系、突出学生主体地位等路径有助于提升AI辅助教学质量和学生学习效果。文章对电子信息与电气工程类专业课程的AI辅助教学改革具有一定的借鉴意义。

Abstract

Addressing the topical issue of reasonably defining the application boundaries of Artificial Intelligence (AI) tools in the Power System Relay Protection course, this paper provides an in-depth analysis of their integration methods and implementation pathways in theoretical teaching, experimental instruction, and assessment evaluation, based on the Outcome-Based Education (OBE) framework. It summarizes the distinctive characteristics of the relay protection course and the prominent problems associated with traditional teaching approaches. An AI-assisted teaching model oriented towards learning outcomes is constructed, which clarifies the appropriate scope of AI tool application in knowledge transmission, ability development, and comprehensive quality cultivation. Teaching practice demonstrates that strategies such as refining teaching objectives, coordinating the human-AI relationship, and emphasizing the student-centered role improve the quality of AI-assisted instruction and enhance student learning outcomes. This paper offers valuable references for the AI-assisted teaching reform of courses in electronic information and electrical engineering disciplines.