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作 者:余新国[1] 夏菁[2] YU Xin-guo;XIA Jing
机构地区:[1]华中师范大学人工智能教育学部,湖北武汉430079 [2]华中师范大学国际文化交流学院,湖北武汉430079
出 处:《湖北大学学报(哲学社会科学版)》2022年第4期113-124,F0003,共13页Journal of Hubei University(Philosophy and Social Science)
摘 要:人机共融教育是以教育机器人为特征的新教育形态,在优化教育过程和提升教学质量方面具有优势,这引发了人们对教育机器人的研发和应用。研究教育机器人的内外知识体系可以提升对教育机器人的认知、评价和研发,最终推进人机共融教育新模式的发展。借助BERT技术对近20年来有关教育机器人的研究文献进行分析,可以发现:教育机器人内部软硬件框架由机体基础、数据资源、智能计算三个方面组成,教育机器人的外显能力体系由五类教学能力、五种教育角色和十个评测维度组成。内部软硬件框架和外显能力体系整合构成了完整的教育机器人知识体系,其形成的整体功能为人机共融教育模式的实现提供了支撑。Man-Robot synergy education, a new form of education characterized by educational robots, is conducive to optimizing and improving teaching quality, which results in the development and application of educational robots. The research on the internal and external knowledge system of educational robots can improve the cognition, evaluation and research of educational robots, and ultimately promote the development of a new model of man-robot synergy education. By means of BERT technology, it can be seen that through the analysis of the research literature on educational robots in recent 20 years, the internal hardware and software framework of educational robots consists of three aspects: body foundation, data resources and intelligent computing. The explicit ability system of educational robots consists of five kinds of teaching ability, five kinds of educational roles and ten evaluation dimensions. The integration of internal hardware and software framework and external capability system constitutes a complete educational robots knowledge system. Their overall functions provide support for the realization of man-robot synergy education mode.
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