School of Preschool Education, Jinan Vocational College, Jinan, China.
School of Cultural Innovation, Weifang Vocational College, Weifang, China.
PLoS One. 2023 Oct 30;18(10):e0293397. doi: 10.1371/journal.pone.0293397. eCollection 2023.
Robotics education is important in training children's thinking, practical, and innovation abilities. It is significant to stimulate children's interest in learning and improve their learning quality. The existing research has not paid attention to the application of robotics education in children. It is necessary to stimulate children's interest in learning. This paper will take senior kindergarten students as the research object. It analyzes the application of the Vector Space Model (VSM) in robotics course development. The research and development of children's robotics courses incorporating Artificial Intelligence technology are based on the survey results of robotics courses offered by 38 kindergartens in Baoji City. An automatic document classification system based on VSM is designed to assist in compiling robotics teaching textbooks. Finally, the system performance is tested. The results show that about 24% of kindergartens offer robotics courses, and 76% do not. Besides, 70.14% of teachers support the establishment of children's robotics courses. The classification effect of the VSM system is better than that of Chinese documents. This system performs better than the automatic document classification system based on Term Frequency-Inverse Document Frequency. Its classification accuracy, recall, and F1 value are all above 85%. The development of the robotics course provides a better teaching environment for teaching young children about AI and robots. The robotics education discussed in this paper is a hot spot in the current curriculum reform and is of great significance to the development and innovation in early childhood education.
机器人教育在培养儿童的思维、实践和创新能力方面非常重要。它对于激发儿童的学习兴趣、提高学习质量具有重要意义。现有研究尚未关注机器人教育在儿童中的应用，有必要激发儿童的学习兴趣。本文将以高级幼儿园学生为研究对象，分析向量空间模型（VSM）在机器人课程开发中的应用。基于宝鸡市 38 所幼儿园机器人课程的调查结果，研究和开发融入人工智能技术的儿童机器人课程。设计了一个基于 VSM 的自动文档分类系统，以协助编写机器人教学教材。最后，对系统性能进行了测试。结果表明，约有 24%的幼儿园开设了机器人课程，而 76%的幼儿园没有开设。此外，70.14%的教师支持建立儿童机器人课程。VSM 系统的分类效果优于中文文档。该系统的分类精度、召回率和 F1 值均高于 85%。机器人课程的开发为教授儿童人工智能和机器人提供了更好的教学环境。本文讨论的机器人教育是当前课程改革的热点，对幼儿教育的发展和创新具有重要意义。
