【作者】 张文博； 才智； 陈军成； 宋书瀛； 方娟；

【Author】 ZHANG Wenbo;CAI Zhi;CHEN Juncheng;SONG Shuying;FANG Juan;College of Computer Science Beijing University of Technology;

【机构】 北京工业大学计算机学院；

【摘要】 为应对人工智能时代对新工科人才培养提出的挑战,提升工程教育认证背景下的专业核心课程质量,本文聚焦物联网工程专业的"RFID技术"课程改革。研究旨在依托国产大语言模型技术,深度融入"智慧问答"式学习模式,系统提升课程的"两性一度"。研究通过重塑课程建设目标以对接前沿技术与工程认证标准,重构课程内容体系融入AI应用场景与实践案例,重建多元化教学活动,并优化教学与实践过程。实践表明,该改革方案显著提升了课程的教学效能与学生的学习体验,有效解决了传统工程实践类课程在智能化转型中的关键问题,为人工智能时代"新工科"专业核心课程建设提供了可推广的范式,对推动我国工程教育创新发展具有重要的实践价值。更多还原

【Abstract】 To address the challenges posed by the artificial intelligence era for cultivating talent in emerging engineering education and enhance the quality of professional core courses within the framework of engineering education accreditation,this study focuses on the reform of the "RFID Technology" course in the Internet of Things Engineering major.The research aims to systematically elevate the course’s "Two Excellences with One Intensity" by leveraging domestic large language model technology and deeply integrating an "intelligent Q&A" learning model.The reform was conducted through:restructuring course objectives to align with cutting-edge technologies and engineering accreditation standards;redesigning the course content system to incorporate AI application scenarios and practical case studies;rebuilding diversified teaching activities;and optimizing teaching and practical processes.Practice demonstrates that this reform significantly improves teaching efficacy and student learning experience.It effectively addresses critical issues in the intelligent transformation of traditional engineering practice courses,providing a transferable paradigm for developing professional core curricula in the era of AI-driven emerging engineering education.This holds substantial practical value for advancing the innovative development of engineering education in China.更多还原