%0 Journal Article
%T “AI”赋能管罐强度设计课程建设与改革
AI Empowerment Pipeline and Tank Strength Design Course Construction and Reform
%A 张威
%A 黄辉荣
%A 黄茜
%A 刘慧姝
%A 孟江
%J Vocational Education
%P 199-205
%@ 2160-4401
%D 2025
%I Hans Publishing
%R 10.12677/ve.2025.145216
%X 随着人工智能技术的迅猛发展，教育领域正经历深刻的变革，尤其是在课程建设和教学改革方面。管罐强度设计作为油气储运工程专业的重要课程，长期以来存在教学内容更新滞后、教学方法单一、实践教学薄弱等问题，难以满足行业对高素质人才的需求。本文分析了当前该课程在教学内容、方法、实践教学和考核评价方面存在的挑战，并探讨了人工智能技术赋能该课程的可能性和可行性。通过引入前沿技术、虚拟仿真、个性化学习系统和智能评价系统等手段，人工智能能够全面提升课程的教学质量和学生的学习效果。本文提出了基于人工智能的教学改革方案，包括引入人工智能辅助设计、虚拟仿真实验、工程案例教学等，旨在推动课程内容的更新、增强学生的实践能力和创新思维，培养适应数字化时代需求的专业人才。
With the rapid development of artificial intelligence (AI) technology, the education sector is undergoing profound changes, particularly in course development and teaching reform. Tank strength design, as an important course in the oil and gas storage and transportation engineering field, has long faced challenges such as outdated teaching content, a single teaching method, and weak practical teaching, making it difficult to meet the industry’s demand for high-quality talent. This paper analyzes the current challenges in the course related to teaching content, methods, practical teaching, and assessment, and explores the possibility and feasibility of empowering the course with AI technology. By introducing cutting-edge technologies, virtual simulations, personalized learning systems, and intelligent assessment systems, AI can comprehensively enhance the teaching quality of the course and improve students’ learning outcomes. This paper proposes an AI-based teaching reform plan, including the introduction of AI-assisted design, virtual simulation experiments, and engineering case teaching, aiming to update the course content, strengthen students’ practical abilities and innovative thinking, and cultivate professionals who are capable of adapting to the demands of the digital age.
%K 管道及储罐，
%K 人工智能，
%K 教学改革
Pipeline and Tank
%K Artificial Intelligence
%K Teaching Reform
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=114864