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在矢量空间模型下为幼儿开发机器人课程
Yuanyuan Zuo1, Lixuan Che2, Liping Zhang3
1School of Preschool Education, Jinan Vocational College, Jinan, China.
PloS one
|October 30, 2023
概括
机器人教育对年轻学习者至关重要,增强思维和创新. 一个矢量空间模型系统改善了AI机器人课程开发,在对幼儿园的教育文件进行分类时显示出高准确度.
科学领域:
- 幼儿教育 儿童早期教育
- 教育技术的教育技术
- 教育中的人工智能
背景情况:
- 机器人教育对于发展儿童的认知,实用和创新技能至关重要.
- 现有的研究缺乏专门针对幼儿的应用机器人教育的重点.
- 激发儿童的兴趣和提高学习质量是关键目标.
研究的目的:
- 分析矢量空间模型 (VSM) 在为高级幼儿园学生开发机器人课程中的应用.
- 使用VSM设计一个自动文档分类系统,以帮助编译机器人教学材料.
- 评估将人工智能和机器人纳入幼儿教育的可行性和教师支持.
主要方法:
- 对宝市38所幼儿园的机器人课程提供情况的调查.
- 基于矢量空间模型 (VSM) 的自动文档分类系统的开发.
- 针对中国文件和术语频率-反向文档频率 (TF-IDF) 方法对VSM系统的性能测试.
主要成果:
- 在接受调查的幼儿园中,目前只有24%的幼儿园提供机器人课程.
- 显著多数 (70.14%) 的教师支持建立儿童机器人课程.
- 基于VSM的分类系统表现出卓越的性能,精度,回忆和F1分数超过85%.
结论:
- 开发的机器人课程提供了一个增强的教学环境,用于向幼儿介绍AI和机器人.
- 机器人教育是当前课程改革中的一个重要领域,对于幼儿教育创新至关重要.
- 该VSM系统有效地协助开发和编译机器人教学资源.
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