近些年来,随着人工智能技术的发展,人工智能逐渐应用于各行各业,因此,中小学开始普及人工智能教育。人工智能教育需要造价昂贵的硬件设备以及专业技能较强的专任教师,然而很多中小学尤其是西部边远中小学无力承担建设专门的人工智能技...近些年来,随着人工智能技术的发展,人工智能逐渐应用于各行各业,因此,中小学开始普及人工智能教育。人工智能教育需要造价昂贵的硬件设备以及专业技能较强的专任教师,然而很多中小学尤其是西部边远中小学无力承担建设专门的人工智能技术实验室的高额预算,并且人工智能教育师资力量也严重滞后。针对这些问题,本文提出利用Tensorflow.js和Tensorflow Lite等技术,开发基于移动终端的“人工智能技术实验平台”,构建面向应用的交互式人工智能技术教学应用案例,无缝运行于“移动人工智能技术实验平台”上,支持中小学学生在线参与人工智能技术应用实践的全过程,帮助学生提升兴趣,领会人工智能技术的基本原理。实践表明,基于移动人工智能实验平台的中小学教育取得了令人满意的效果。In recent years, with the advancement of artificial intelligence (AI) technology, AI has been increasingly applied across various industries, prompting primary and secondary schools to introduce AI education. However, AI education necessitates expensive hardware facilities and a teaching force proficient in specialized skills, posing challenges for many primary and secondary schools, particularly those in remote western regions, which struggle to afford the high costs associated with establishing dedicated AI technology laboratories. Furthermore, there is a significant shortfall in qualified AI educators. To address these issues, this paper proposes leveraging technologies such as Tensorflow.js and Tensorflow Lite to develop an “AI Technology Experiment Platform” based on mobile devices. This platform will facilitate the construction of application-oriented interactive teaching application cases on AI technology that can seamlessly operate on the “Mobile AI Technology Experiment Platform”, enabling students to engage in the full process of practical AI technology applications online. This approach aims to en展开更多
文摘近些年来,随着人工智能技术的发展,人工智能逐渐应用于各行各业,因此,中小学开始普及人工智能教育。人工智能教育需要造价昂贵的硬件设备以及专业技能较强的专任教师,然而很多中小学尤其是西部边远中小学无力承担建设专门的人工智能技术实验室的高额预算,并且人工智能教育师资力量也严重滞后。针对这些问题,本文提出利用Tensorflow.js和Tensorflow Lite等技术,开发基于移动终端的“人工智能技术实验平台”,构建面向应用的交互式人工智能技术教学应用案例,无缝运行于“移动人工智能技术实验平台”上,支持中小学学生在线参与人工智能技术应用实践的全过程,帮助学生提升兴趣,领会人工智能技术的基本原理。实践表明,基于移动人工智能实验平台的中小学教育取得了令人满意的效果。In recent years, with the advancement of artificial intelligence (AI) technology, AI has been increasingly applied across various industries, prompting primary and secondary schools to introduce AI education. However, AI education necessitates expensive hardware facilities and a teaching force proficient in specialized skills, posing challenges for many primary and secondary schools, particularly those in remote western regions, which struggle to afford the high costs associated with establishing dedicated AI technology laboratories. Furthermore, there is a significant shortfall in qualified AI educators. To address these issues, this paper proposes leveraging technologies such as Tensorflow.js and Tensorflow Lite to develop an “AI Technology Experiment Platform” based on mobile devices. This platform will facilitate the construction of application-oriented interactive teaching application cases on AI technology that can seamlessly operate on the “Mobile AI Technology Experiment Platform”, enabling students to engage in the full process of practical AI technology applications online. This approach aims to en
