AI赋能与场景化实践:民办高校公共选修课教学改革探索——以《大国工程赏析》为例
AI Empowerment and Scenario-Based Practice: An Exploration of Teaching Reform in Public Elective Courses at Private Universities—A Case Study of Appreciation of Major National Projects
摘要: 民办高校公共选修课面临着教学内容静态化、方法单一化及实践资源匮乏等结构性困境。本文以民办高校公共选修课《大国工程赏析》为研究对象,针对非工科背景学生工程认知薄弱、学习参与度低的痛点,提出并实践了“AI + 资源整合 + 虚拟场景化实施”的课程改革思路。文章重点阐述了“资源库–虚拟协作场景化–多元评价网”三位一体的教学模式构建,包括基于动态案例库的内容重构、“三阶”混合式的虚拟协作课堂组织以及数据驱动的“四维一体”考核评价体系。教学实践表明,该模式能够借助通用型AI工具及免费公共资源,在资源投入不足条件下有效提升学生的工程思维、数字化表达与跨学科协作能力,为民办院校破解通识教育“资源洼地”、落实应用型人才培养目标提供了可复制的改革范式。
Abstract: Public elective courses at private universities face structural dilemmas, including static teaching content, monotonous instructional methods, and a lack of practical resources. Taking the course Appreciation of Major National Projects at a private university as the research subject, this paper addresses the specific pain points of non-engineering students, namely weak engineering cognition and low learning engagement. This study proposes and implements a curriculum reform approach centered on “AI + Resource Integration + Virtual Scenario-Based Implementation”. The paper elaborates on the construction of a “Three-in-One” teaching model comprising a “Resource Library - Virtual Collaboration Scenario-Based Practice - Multi-dimensional Evaluation Network”. This model includes the reconstruction of content based on a dynamic case library, a “Three-Stage” blended learning approach featuring virtual collaborative classroom organization, and a data-driven “Four-Dimensional Integrated” assessment and evaluation system. Teaching practice indicates that this model, by leveraging general-purpose AI tools and free public resources, can effectively enhance students’ engineering thinking, digital expression, and interdisciplinary collaboration skills under conditions of limited resource input. It provides a replicable reform paradigm for private universities aiming to bridge the “resource gap” in general education and to achieve the goal of cultivating application-oriented talents.
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