随着全球制造业向智能化、数字化、网络化方向的迅速发展,智能制造成为推动工业升级和技术创新的核心领域。本文结合多篇关于智能制造专业实验教学的研究成果,系统探讨了智能制造专业实验教学体系的构建与实施策略。通过强调学生综合素...随着全球制造业向智能化、数字化、网络化方向的迅速发展,智能制造成为推动工业升级和技术创新的核心领域。本文结合多篇关于智能制造专业实验教学的研究成果,系统探讨了智能制造专业实验教学体系的构建与实施策略。通过强调学生综合素质的协调发展、注重培养学生的社会责任感、安全环保意识和职业道德,构建科学合理的实验教学内容和课程体系,优化实验教学环境和资源,建立科学的评价和反馈机制,并提供必要的保障措施,文章提出了切实可行的实验教学策略和优化措施。研究结果表明,这些策略和措施对于培养具备创新能力、社会责任感、安全环保意识和职业道德的高素质智能制造技术人才具有重要意义,为智能制造专业的人才培养提供了有力的理论支持和实践指导。With the rapid development of global manufacturing towards intelligence, digitalization, and networking, intelligent manufacturing has become the core field for promoting industrial upgrading and technological innovation. This paper systematically explores the construction and implementation strategies of the experimental teaching system for intelligent manufacturing majors by combining multiple research results on the experimental teaching of intelligent manufacturing. Emphasizing the coordinated development of students’ comprehensive qualities, focusing on cultivating students’ social responsibility, safety and environmental awareness, and professional ethics, constructing a scientific and reasonable experimental teaching content and curriculum system, optimizing the experimental teaching environment and resources, establishing a scientific evaluation and feedback mechanism, and providing necessary support measures, this paper proposes feasible experimental teaching strategies and optimization measures. The results show that these strategies and measures are of great significance for cultivating high-quality intelligent manufacturing technology talents with innovative ability, social responsibility, safety and environmental awareness, and professional ethics, providing strong theoretical support and practical guidance for the cultivation of talents in intelligent manufacturing majors.展开更多
文摘随着全球制造业向智能化、数字化、网络化方向的迅速发展,智能制造成为推动工业升级和技术创新的核心领域。本文结合多篇关于智能制造专业实验教学的研究成果,系统探讨了智能制造专业实验教学体系的构建与实施策略。通过强调学生综合素质的协调发展、注重培养学生的社会责任感、安全环保意识和职业道德,构建科学合理的实验教学内容和课程体系,优化实验教学环境和资源,建立科学的评价和反馈机制,并提供必要的保障措施,文章提出了切实可行的实验教学策略和优化措施。研究结果表明,这些策略和措施对于培养具备创新能力、社会责任感、安全环保意识和职业道德的高素质智能制造技术人才具有重要意义,为智能制造专业的人才培养提供了有力的理论支持和实践指导。With the rapid development of global manufacturing towards intelligence, digitalization, and networking, intelligent manufacturing has become the core field for promoting industrial upgrading and technological innovation. This paper systematically explores the construction and implementation strategies of the experimental teaching system for intelligent manufacturing majors by combining multiple research results on the experimental teaching of intelligent manufacturing. Emphasizing the coordinated development of students’ comprehensive qualities, focusing on cultivating students’ social responsibility, safety and environmental awareness, and professional ethics, constructing a scientific and reasonable experimental teaching content and curriculum system, optimizing the experimental teaching environment and resources, establishing a scientific evaluation and feedback mechanism, and providing necessary support measures, this paper proposes feasible experimental teaching strategies and optimization measures. The results show that these strategies and measures are of great significance for cultivating high-quality intelligent manufacturing technology talents with innovative ability, social responsibility, safety and environmental awareness, and professional ethics, providing strong theoretical support and practical guidance for the cultivation of talents in intelligent manufacturing majors.