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基于知识图谱的机械设计新形态课程建设与教学改革

New Form Curriculum Construction and Teaching Reform of Mechanical Design Based on Knowledge Graph

  • Authors:
    杨蔚华 何孔德 李响 倪高翔 / Education Study / 2024,6(6): 1872-1876 / 2025-01-06
  • Keywords: Mechanical design; Knowledge Graph; New form curriculum; Mixed teaching机械设计; 知识图谱; 新形态课程; 混合式教学
  • Abstract: In order to solve the problems existing in the teaching process of mechanical design course, a new form of curriculum for mechanical design course is built based on the knowledge map. An enhanced hybrid teaching mode is constructed with complement knowledge map and mixed teaching, and the flipped class on problem based learning (PBL) is put into effect for the training of high-order design ability of students. Meanwhile, the whole process of the curriculum ideology and politics is carried out. Integrating the map into the process of evaluation, the intelligent and comprehensive mechanism of evaluation and feedback is established, which can stimulate the learning drive of students continuously. Through the above reform, the quality of curriculum education is improved significantly. It is helpful for providing reference for the construction of curriculum and the digital transformation of education.针对机械设计课程教学中存在的痛点问题,创建课程知识图谱,建设新形态课程;将知识图谱与混合式教学优势互补,构建增强型混合式教学模式,开展基于问题的学习(PBL)翻转课堂教学改革,助推学生高阶设计能力的培养;开展全过程浸润式课程思政育人,建立“智能+”综合评价反馈激励机制,持续激发学习内驱力。通过改革,课程育人质量显著提升,为机械类课程改革和教育数字化转型提供有益的借鉴。
  • 教改项目教学研究

“AI+智能制造”背景下高校机械类课程的创新探索

Innovative Exploration of University Mechanical Courses under the Background of “AI+Intelligent Manufacturing”

  • Authors:
    李垚 关远 邓月 倪高翔 李响 / Education Study / 2024,6(6): 1690-1693 / 2024-11-28
  • Keywords: Intelligent manufacturing; Engineering education; Artificial intelligence; Teaching reform智能制造; 工程教育; 人工智能; 教学改革
  • Abstract: It is imperative to transform the traditional engineering education model, build an interdisciplinary knowledge system, and cultivate compound talents that meet the needs of the new era. This research analyzes the deep integration of intelligent manufacturing and artificial intelligence, clarifies the shortcomings and industry needs of the intelligent manufacturing professional course construction, explores innovative measures such as course content updates, teaching method innovation, and practice strengthening, and proposes a variety of reform practice paths.传统工程教育模式转型势在必行,要构建跨学科知识体系,培养适应新时代需求的复合型人才。文章分析了智能制造与人工智能的深度融合,阐明了智能制造专业课程建设存在的不足及行业需求,探究了课程内容更新、教学方法创新及实践环节强化等创新举措,并提出了多种改革实践路径。
  • 教改项目
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