This study aims to investigate the current status of AI competencies among Chinese high school students using quantitative research methods.By integrating UNESCO’s AI Competency Framework for Students with China’s e...This study aims to investigate the current status of AI competencies among Chinese high school students using quantitative research methods.By integrating UNESCO’s AI Competency Framework for Students with China’s educational practices,a questionnaire was developed.Altogether,300 students from eight high schools joined the research.SPSS 26.0 was used for reliability and validity tests,exploratory factor analysis,and group difference analysis.The results show that the questionnaire has good reliability and validity(Cronbach’sα=0.974,KMO=0.912,Bartlett’s test of sphericity was significant with p<0.001,cumulative variance explained 72.0%).Besides,Chinese high school students’AI competencies exhibit a typical pattern of“strong in technology,weak in ethics,and insufficient in creativity”,with technical application ability(mean=3.7)significantly higher than ethical assessment(mean=3.0)and system design(mean=2.8).What’s more,students in the eastern region have significantly better overall competencies than those in the central and western regions(p<0.05),with the largest gap in the technical application dimension(mean difference=0.7)and the smallest gap in the ethical dimension(mean difference=0.3).The study recommends optimizing high school curricula by adding modules for ethical debates and interdisciplinary projects and promoting equitable distribution of educational resources.This research empirically supports global AI education standardization and offers a scientific basis for AI education policies and curriculum design in China’s high schools.展开更多
人工智能(AI)对教师教育行业带来了新的活力,也对教师的综合素质提出了更高的要求。为帮助全球教师适应快速发展的人工智能技术,并利用这些技术来提升教学效果和教育质量,联合国教科文组织发布了AI Competency Framework for Teachers(...人工智能(AI)对教师教育行业带来了新的活力,也对教师的综合素质提出了更高的要求。为帮助全球教师适应快速发展的人工智能技术,并利用这些技术来提升教学效果和教育质量,联合国教科文组织发布了AI Competency Framework for Teachers(《教师AI能力框架》)。文章基于该框架的要点,归纳总结世界各国在教师AI能力培养方面的成功经验,分析了中国教师AI能力发展面临的挑战,并提出建议:建立AI系统信任评估清单,加强教师AI能力培训,推动AI资源均衡化,建立教师AI能力考核机制,关注伦理与安全教育,加强国际合作与交流。展开更多
基金supported by Research Project on Humanities and Social Sciences in Higher Education Institutions of Guizhou Provincial Department of Education(No.24RWZX060).
文摘This study aims to investigate the current status of AI competencies among Chinese high school students using quantitative research methods.By integrating UNESCO’s AI Competency Framework for Students with China’s educational practices,a questionnaire was developed.Altogether,300 students from eight high schools joined the research.SPSS 26.0 was used for reliability and validity tests,exploratory factor analysis,and group difference analysis.The results show that the questionnaire has good reliability and validity(Cronbach’sα=0.974,KMO=0.912,Bartlett’s test of sphericity was significant with p<0.001,cumulative variance explained 72.0%).Besides,Chinese high school students’AI competencies exhibit a typical pattern of“strong in technology,weak in ethics,and insufficient in creativity”,with technical application ability(mean=3.7)significantly higher than ethical assessment(mean=3.0)and system design(mean=2.8).What’s more,students in the eastern region have significantly better overall competencies than those in the central and western regions(p<0.05),with the largest gap in the technical application dimension(mean difference=0.7)and the smallest gap in the ethical dimension(mean difference=0.3).The study recommends optimizing high school curricula by adding modules for ethical debates and interdisciplinary projects and promoting equitable distribution of educational resources.This research empirically supports global AI education standardization and offers a scientific basis for AI education policies and curriculum design in China’s high schools.
文摘人工智能(AI)对教师教育行业带来了新的活力,也对教师的综合素质提出了更高的要求。为帮助全球教师适应快速发展的人工智能技术,并利用这些技术来提升教学效果和教育质量,联合国教科文组织发布了AI Competency Framework for Teachers(《教师AI能力框架》)。文章基于该框架的要点,归纳总结世界各国在教师AI能力培养方面的成功经验,分析了中国教师AI能力发展面临的挑战,并提出建议:建立AI系统信任评估清单,加强教师AI能力培训,推动AI资源均衡化,建立教师AI能力考核机制,关注伦理与安全教育,加强国际合作与交流。
