计算思维作为一种普适性态度与技能,是21世纪数字化人才必备的核心素养。为科学分析近年来国际上计算思维在K-12教育阶段的研究发展状况,借助文献计量软件CiteSpace和VOSviewer对CNKI和Web of Science数据库中2013-2023年间的K-12阶段...计算思维作为一种普适性态度与技能,是21世纪数字化人才必备的核心素养。为科学分析近年来国际上计算思维在K-12教育阶段的研究发展状况,借助文献计量软件CiteSpace和VOSviewer对CNKI和Web of Science数据库中2013-2023年间的K-12阶段计算思维相关研究文献进行量化与可视化分析。结果表明,国内对于计算思维的研究起步较晚,在2017年后进入研究高峰期,且在研究内容上重视具体教学中落地计算思维的培养,关注教学改革与课程设计,尚未形成学术研究网络。而国际上计算思维研究较为成熟,形成了稳定的作者合作群体。在2013-2023年处于发展期,没有出现短时间内研究热度暴增的情况。国际研究既重视计算思维概念模型与教学模式等理论研究,又同时开展实证研究。国内外研究方向均逐渐深入与细化。未来研究可从计算思维培养的深度与广度、跨学科发展以及教师专业能力发展等方面入手,以加快推进本土化K-12阶段计算思维培养进程。展开更多
Artificial intelligence (AI) has garnered significant interest within the educational domain over the past decade, promising to revolutionise teaching and learning. This paper provides a comprehensive overview of syst...Artificial intelligence (AI) has garnered significant interest within the educational domain over the past decade, promising to revolutionise teaching and learning. This paper provides a comprehensive overview of systematic reviews conducted from 2010 to 2023 on the implementation of AI in K-12 education. By synthesising findings from ten selected systematic reviews, this study explores the multifaceted opportunities and challenges posed by AI in education. The analysis reveals several key findings: AI’s potential to personalise learning, enhance student motivation, and improve teaching efficiency are highlighted as major strengths. However, the study also identifies critical concerns, including teacher resistance, high implementation costs, ethical considerations, and the need for extensive teacher training. These findings represent the most significant insights from the analysis, while additional findings further underscore the complexity and scope of AI integration in educational settings. The study employs a SWOT analysis to summarise these insights, identifying key areas for future research and policy development. This review aims to guide educators, policymakers, and researchers in effectively leveraging AI to enhance educational outcomes while addressing its inherent challenges.展开更多
文摘计算思维作为一种普适性态度与技能,是21世纪数字化人才必备的核心素养。为科学分析近年来国际上计算思维在K-12教育阶段的研究发展状况,借助文献计量软件CiteSpace和VOSviewer对CNKI和Web of Science数据库中2013-2023年间的K-12阶段计算思维相关研究文献进行量化与可视化分析。结果表明,国内对于计算思维的研究起步较晚,在2017年后进入研究高峰期,且在研究内容上重视具体教学中落地计算思维的培养,关注教学改革与课程设计,尚未形成学术研究网络。而国际上计算思维研究较为成熟,形成了稳定的作者合作群体。在2013-2023年处于发展期,没有出现短时间内研究热度暴增的情况。国际研究既重视计算思维概念模型与教学模式等理论研究,又同时开展实证研究。国内外研究方向均逐渐深入与细化。未来研究可从计算思维培养的深度与广度、跨学科发展以及教师专业能力发展等方面入手,以加快推进本土化K-12阶段计算思维培养进程。
文摘Artificial intelligence (AI) has garnered significant interest within the educational domain over the past decade, promising to revolutionise teaching and learning. This paper provides a comprehensive overview of systematic reviews conducted from 2010 to 2023 on the implementation of AI in K-12 education. By synthesising findings from ten selected systematic reviews, this study explores the multifaceted opportunities and challenges posed by AI in education. The analysis reveals several key findings: AI’s potential to personalise learning, enhance student motivation, and improve teaching efficiency are highlighted as major strengths. However, the study also identifies critical concerns, including teacher resistance, high implementation costs, ethical considerations, and the need for extensive teacher training. These findings represent the most significant insights from the analysis, while additional findings further underscore the complexity and scope of AI integration in educational settings. The study employs a SWOT analysis to summarise these insights, identifying key areas for future research and policy development. This review aims to guide educators, policymakers, and researchers in effectively leveraging AI to enhance educational outcomes while addressing its inherent challenges.
