AI赋能的教–学–评闭环模式在技工院校《传感器应用技术》课程的可行性分析

Feasibility Analysis of an AI-Empowered Teaching-Learning-Assessment Closed-Loop Model in the “Sensor Application Technology” Course in Technical Schools

摘要: 本文针对技工院校《传感器应用技术》课程教学中存在的理论抽象、实操薄弱、评价单一等问题，提出了构建人工智能(AI)赋能的教–学–评闭环模式。文章首先阐述了该模式的核心内涵与运行机制，继而从技术基础、经济成本、实施操作与预期效果四个关键维度，系统论证了其在当前技工教育环境中推广应用的可行性。分析表明，该模式不仅能有效破解传统教学困境，实现个性化、精准化教学，且具备较高的实践推广价值，为技工院校相关课程的教学改革提供了明确路径。

Abstract: This paper addresses issues in the teaching of the “Sensor Application Technology” course in technical schools, such as abstract theoretical content, weak practical training, and simplistic evaluation methods, by proposing an artificial intelligence (AI)-empowered teaching-learning-assessment closed-loop model. The study first elaborates on the core concepts and operational mechanisms of this model. Subsequently, it systematically demonstrates the feasibility of implementing the model in the current technical education environment from four key dimensions: technological infrastructure, economic costs, practical implementation, and expected outcomes. The analysis indicates that this model can effectively overcome the limitations of traditional teaching methods, enable personalized and precise instruction, and possess significant practical value for widespread application. It provides a clear pathway for reforming related courses in technical schools.