CPSS的跨学科控制研究和课程开发：以3D打印和社会制造为例

Q3 Engineering

IFAC-PapersOnLine Pub Date : 2025-01-01 DOI:10.1016/j.ifacol.2025.08.056

Zhen Shen , Hongyu Li , Jing Yang , Xiaojun Wang , Daniel Horti , Martin Ferenc Dömény , Szatmáry Sára , Adina Chotbaeva , Jimei Ma , Zsombor Zrubka , Fei-Yue Wang

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引用次数: 0

摘要

本文提出了一个新的教育框架，它集成了增材制造（3D打印）、社交制造平台、大型语言模型（llm）、iSTREAMS和iCDIOS，以架起学术学习、工业实践和研究创新的桥梁。该框架采用“边做边学”的方法，学生参与项目驱动的任务，包括2d到3d建模、材料属性优化和协作解决问题。通过利用人工智能工具进行设计迭代和实时反馈，学生可以培养批判性思维、技术执行和跨学科合作的能力。该框架还强调动态评估机制，将人工评估与人工智能驱动的分析相结合，提供个性化反馈并通知课程更新。通过这种综合方法，学生将具备必要的技能，以驾驭现代网络-物理-社会系统（CPSS）驱动的行业的复杂性。本文提供了一个案例研究，以展示框架的实施及其在促进跨学科控制研究和课程开发方面的潜力，突出iSTREAMS和iCDIOS在提高教育成果方面的协同作用。

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Interdisciplinary Control Research and Curriculum Development in CPSS: A Case Study with 3D Printing and Social Manufacturing

This paper presents a novel educational framework that integrates additive manufacturing (3D printing), social manufacturing platforms, large language models (LLMs), iSTREAMS, and iCDIOS to bridge academic learning, industrial practice, and research innovation. The framework adopts a “learning-by-doing” approach, where students engage in project-driven tasks that span 2D-to-3D modeling, material property optimization, and collaborative problem-solving. By leveraging AI tools for design iteration and real-time feedback, students develop competencies in critical thinking, technical execution, and interdisciplinary collaboration. The framework also emphasizes dynamic assessment mechanisms that combine human evaluation with AI-driven analytics to provide personalized feedback and inform curriculum updates. Through this integrated approach, students are equipped with the skills necessary to navigate the complexities of modern Cyber-Physical-Social Systems (CPSS)-driven industries. A case study is provided to demonstrate the framework’s implementation and its potential to foster interdisciplinary control research and curriculum development, highlighting the synergy between iSTREAMS and iCDIOS in enhancing educational outcomes.

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来源期刊

IFAC-PapersOnLine Engineering-Control and Systems Engineering

CiteScore

1.70

自引率

0.00%

发文量

1122

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