摘要
为应对新一轮科技革命对电气工程人才培养提出的新要求,并解决当前教学存在的课程孤岛化、理论与实践脱节、创新能力培养不足等问题,本文系统性地提出了一套融合“代理模型”(Surrogate Model)的电气工程专业课程教学改革方案。该方案以数据驱动的代理模型技术为核心抓手,主张对《电力系统分析》《电力电子技术》等核心课程进行现代化重构,增设数据驱动建模与分析模块。改革的核心在于推动教学模式从以知识传授为中心,转向以问题驱动、能力培养为导向;将实践环节从传统的验证性实验,转变为基于代理模型的设计性、创新性综合项目;引入机器学习库(如PyTorch)与专业仿真软件(如PSCAD)深度融合的教学工具。同时,构建一套包含项目报告、代码实现的多元化、过程性考核机制。本教学改革旨在将人工智能技术与专业知识深度耦合,着力培养学生的数据素养、工程思维与创新精神,以满足“新工科”背景下对复合型创新人才的迫切需求。
To address the new demands placed on cultivating talent in electrical engineering by the new wave of technological revolution and to solve prevailing issues in current pedagogy—such as curriculum silos, a disconnect between theory and practice, and insufficient cultivation of innovative skills, this paper systematically proposes a teaching reform plan for the electrical engineering curriculum centered on the integration of surrogate models. The plan leverages data-driven surrogate model technology as its core, advocating for the modernization of core courses like Power System Analysis and Power Electronics by adding modules on data-driven modeling and analysis. The essence of this reform lies in shifting the pedagogical model from a knowledge-transmission focus to a problem-driven, competency-oriented approach;transforming practical sessions from traditional verification-based labs to comprehensive, innovative, and design-oriented projects based on surrogate models;and integrating teaching tools that deeply fuse machine learning libraries (e.g., PyTorch) with professional simulation software (e.g., PSCAD). Concurrently, a diversified, process-oriented assessment mechanism is established, incorporating project reports and code implementation. This educational reform aims to deeply couple artificial intelligence technology with specialized knowledge, focusing on cultivating students’ data literacy, engineering thinking, and innovative spirit to meet the urgent demand for versatile and innovative talents in the context of the “New Engineering” disciplines.
出处
《创新教育研究》
2025年第8期165-175,共11页
Creative Education Studies
