随着信息技术的不断发展和5G技术的逐步普及,智慧教学正成为教育领域的热点话题。基于5G技术的智慧教学生态场景建设,将教学资源、技术手段和教学方法有机地结合起来,创新教学模式,提升教学质量和效率,实现教育的普及和公平。本文将探...随着信息技术的不断发展和5G技术的逐步普及,智慧教学正成为教育领域的热点话题。基于5G技术的智慧教学生态场景建设,将教学资源、技术手段和教学方法有机地结合起来,创新教学模式,提升教学质量和效率,实现教育的普及和公平。本文将探讨基于5G的智慧教学生态场景建设的相关问题。With the continuous development of information technology and the gradual popularization of 5G technology, intelligent teaching is becoming a hot topic in the field of education. The construction of intelligent teaching ecological scene based on 5G technology organically combines teaching resources, technical means and teaching methods, innovates teaching models, improves teaching quality and efficiency, and realizes the popularization and fairness of education. This paper will discuss the relevant issues of the construction of intelligent teaching ecological scene based on 5G.展开更多
失水事故(lose of coolant accident,LOCA)试验中极端热冲击测试作为核设备安全检测中的关键测试之一,能够模拟LOCA事故中高温高压蒸汽对核设备造成的损害程度和设备运行工况的影响情况。在LOCA试验过程中的温度变化对热冲击实验研究尤...失水事故(lose of coolant accident,LOCA)试验中极端热冲击测试作为核设备安全检测中的关键测试之一,能够模拟LOCA事故中高温高压蒸汽对核设备造成的损害程度和设备运行工况的影响情况。在LOCA试验过程中的温度变化对热冲击实验研究尤为重要,实际测试中很难测量出整个压力容器中的温度变化,需要在整个环境中多点布置温度传感器才能测得。如何分析极端温度冲击下的压力容器温度场分布和优化传感器布局成为LOCA测试系统的关键问题。因此采用ANSYS Fluent软件对LOCA热冲击测试环境进行仿真模型,提取极端热冲击的瞬态参数,验证实验仓内流体运动状态和紊流情况,研究测试环境中温度分布特性和温度传感器摆放位置。在仿真测试中LOCA仿真模型中试验品表面温度与实际测试环境表面温度偏差小于2℃,仿真模型符合实际测试需求。展开更多
本文聚焦于AI时代教育背景下的人工智能辅助教学。随着AI技术的快速发展,教育领域正经历着深刻的变革,其中AI辅助教学逐渐成为推动教育创新和发展的重要力量。本文旨在探讨AI在教育领域的应用意义,包括提供科学依据、个性化教学、提升...本文聚焦于AI时代教育背景下的人工智能辅助教学。随着AI技术的快速发展,教育领域正经历着深刻的变革,其中AI辅助教学逐渐成为推动教育创新和发展的重要力量。本文旨在探讨AI在教育领域的应用意义,包括提供科学依据、个性化教学、提升教育公平性等。同时,通过系统分析现状和发展趋势,揭示教育人工智能辅助教学的主要成效与问题,并探讨其面临的挑战和机遇。以期为高等院校和教师提供有益的参考,不断推动教育领域数字化转型和智能化升级,构建更加公平、高效、优质的教育体系。This article focuses on artificial intelligence (AI) assisted teaching in the context of education in the AI era. With the rapid development of AI technology, the education field is undergoing profound changes, among which AI-assisted teaching has gradually become an important force driving educational innovation and development. This article aims to explore the significance of AI applications in the field of education, including providing scientific evidence, personalized teaching, and enhancing educational fairness. Meanwhile, through a systematic analysis of the current situation and development trends, it reveals the main achievements and problems of educational AI-assisted teaching, and discusses the challenges and opportunities it faces. The article aims to provide useful references for colleges, universities, and teachers, continuously promoting the digital transformation and intelligent upgrading of the education field, and building a more fair, efficient, and quality education system.展开更多
文摘随着信息技术的不断发展和5G技术的逐步普及,智慧教学正成为教育领域的热点话题。基于5G技术的智慧教学生态场景建设,将教学资源、技术手段和教学方法有机地结合起来,创新教学模式,提升教学质量和效率,实现教育的普及和公平。本文将探讨基于5G的智慧教学生态场景建设的相关问题。With the continuous development of information technology and the gradual popularization of 5G technology, intelligent teaching is becoming a hot topic in the field of education. The construction of intelligent teaching ecological scene based on 5G technology organically combines teaching resources, technical means and teaching methods, innovates teaching models, improves teaching quality and efficiency, and realizes the popularization and fairness of education. This paper will discuss the relevant issues of the construction of intelligent teaching ecological scene based on 5G.
文摘失水事故(lose of coolant accident,LOCA)试验中极端热冲击测试作为核设备安全检测中的关键测试之一,能够模拟LOCA事故中高温高压蒸汽对核设备造成的损害程度和设备运行工况的影响情况。在LOCA试验过程中的温度变化对热冲击实验研究尤为重要,实际测试中很难测量出整个压力容器中的温度变化,需要在整个环境中多点布置温度传感器才能测得。如何分析极端温度冲击下的压力容器温度场分布和优化传感器布局成为LOCA测试系统的关键问题。因此采用ANSYS Fluent软件对LOCA热冲击测试环境进行仿真模型,提取极端热冲击的瞬态参数,验证实验仓内流体运动状态和紊流情况,研究测试环境中温度分布特性和温度传感器摆放位置。在仿真测试中LOCA仿真模型中试验品表面温度与实际测试环境表面温度偏差小于2℃,仿真模型符合实际测试需求。
文摘本文聚焦于AI时代教育背景下的人工智能辅助教学。随着AI技术的快速发展,教育领域正经历着深刻的变革,其中AI辅助教学逐渐成为推动教育创新和发展的重要力量。本文旨在探讨AI在教育领域的应用意义,包括提供科学依据、个性化教学、提升教育公平性等。同时,通过系统分析现状和发展趋势,揭示教育人工智能辅助教学的主要成效与问题,并探讨其面临的挑战和机遇。以期为高等院校和教师提供有益的参考,不断推动教育领域数字化转型和智能化升级,构建更加公平、高效、优质的教育体系。This article focuses on artificial intelligence (AI) assisted teaching in the context of education in the AI era. With the rapid development of AI technology, the education field is undergoing profound changes, among which AI-assisted teaching has gradually become an important force driving educational innovation and development. This article aims to explore the significance of AI applications in the field of education, including providing scientific evidence, personalized teaching, and enhancing educational fairness. Meanwhile, through a systematic analysis of the current situation and development trends, it reveals the main achievements and problems of educational AI-assisted teaching, and discusses the challenges and opportunities it faces. The article aims to provide useful references for colleges, universities, and teachers, continuously promoting the digital transformation and intelligent upgrading of the education field, and building a more fair, efficient, and quality education system.