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作 者:赵梓宏 张辉 胡艺龄[1] Zihong ZHAO;Hui ZHANG;Yiling HU(Department of Education Information Technology,East China Normal University,Shanghai 200062)
机构地区:[1]华东师范大学教育信息技术学系,上海200062
出 处:《中国教育信息化》2022年第6期97-104,共8页Chinese Journal of ICT in Education
基 金:2019年度国家社会科学基金重大项目“人工智能促进未来教育发展研究”(编号:19ZDA364)。
摘 要:智能教育作为未来教育领域发展的必然趋势,近年来正不断地深入并融合到一线教学与学习实践中,并逐渐对传统知识观、学习信念等产生颠覆性影响。在这一冲击下,学习信念、人工智能使用经历、人工智能素养等,成为影响学生能否合理运用人工智能技术,促进学习绩效发展的关键因素。文章通过大规模调查研究,运用统计推断、Johnson-Neyman调节分析等技术,探究上述因素之间的影响关系。研究发现,单纯地引入人工智能技术、增加人工智能使用经历并不能影响学习信念与学习绩效间的关系;而融合人工智能素养的相关使用经历,则对学习信念与学习绩效间的关系起到显著的调节作用。在此基础上,文章提出家校协同共育、重塑课程设计与“以学生为中心”的人工智能技术设计三方面实践经验,以期为人工智能赋能教育变革与实践提供可行路径。As the inevitable trend of the future development of education field,intelligent education is constantly deepened and integrated into the front-line teaching and learning practice in recent years,and it gradually has a subversive impact on the traditional knowledge view and learning belief.With this impact,learning belief,artificial intelligence(AI)use experience,and AI literacy have become key factors in affecting students’ability in using AI technology and promoting the development of student learning performance.In this study,statistical inference and Johnson-Neyman adjustment analysis were used to explore the relationship between the above factors through large-scale investigation and research.It found that simple introduction of AI technology and increase of AI use experience did not affect the relationship between learning belief and learning performance.However,AI use experience combined with AI literacy significantly moderated the relationship between learning belief and learning performance.Based on this,this study puts forward three practical experience of home-school co-education reshaping curriculum design and“student-centered”AI technology design,aiming to provide feasible approaches for the reform and practice of AI education.
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