期刊文献+

基于实验和准实验的智能技术提升学习效果元分析

Meta Analysis on Learning Effect of Intelligent Technology Based on Experiments and Quasi Experiments
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摘要 针对智能技术教育对学生学习效果的影响,选取27篇国内外相关文献进行元分析,并对其调节变量进行深入分析。从整体上看,智能技术在对学习效果上有较大的提升作用,但由于调节变量的不同会有明显的差异。基于研究结果,对如何更好地发挥智能技术在学习中的作用提出了实践性建议。 Based on the impact of intelligent technology education on students’learning results,27 relevant domes-tic and foreign papers for meta analysis are chosen,and the regulating variables are analyzed in depth.The re-search finds that,on the whole,intelligent technology can greatly improve the learning effect.However,there will be obvious differences due to different regulatory variables.Based on research results,put forward practical sugges-tions on how intelligent technology functions better in learning.
作者 卢海丽 贺琳 王春静 LU Haili;HE Lin;WANG Chunjing(College of Education,Shaanxi Normal University,Xi’an 710062,China;Department of Humanities Education,Harbin Guangsha College,Harbin 150025,China)
出处 《河南财政金融学院学报(自然科学版)》 2024年第1期55-64,共10页 Journal of Henan Finance University(Natural Science Edition)
基金 陕西师范大学研究生领航人才基金项目(LHRCTS23020,LHRCTS23022)。
关键词 智能技术 学习效果 元分析 人工智能 教学模式 辅助教学 多元设计 intelligent technology learning effect meta-analysis artificial intelligence teaching mode assistant teaching multi-metadata design
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