数字教育游戏对高阶思维发展的影响——基于国内外28篇实证研究文献的元分析
The Effects of Digital Educational Games on the Development of Higher-Order Thinking—A Meta-Analysis Based on 28 Empirical Research Papers at Home and Abroad
张书琪 1范佳荣 1钟绍春2
作者信息
- 1. 东北师范大学 信息科学与技术学院,吉林 长春 130117
- 2. 教育部 数字化学习支撑技术工程研究中心,吉林 长春 130117
- 折叠
摘要
数字教育游戏能够创造轻松愉快的学习情境,为不同教育水平的学习者提供学习支持与辅助.已有研究表明,数字教育游戏能够提高学习者的学习表现,但是在促进高阶思维发展方面的有效性上仍然存在一些争议.为此,本研究采用元分析方法,综合分析了国内外28篇实证研究数据(共含39个有效效应量)进行验证.结果显示,数字教育游戏对高阶思维发展具有中等偏上程度的促进作用,其合并效应值为0.778;进一步的调节效应检验表明,数字教育游戏对高阶思维发展的有效性受学段、竞争机制、游戏环境三种调节变量的影响;然而,学科、具身交互方式、故事、反馈内容并没有显著影响数字教育游戏干预对高阶思维发展的效应.上述发现证明了用心设计数字教育游戏对高阶思维发展的重要性.
Abstract
Digital educational games can create relaxing and enjoyable learning contexts and provide learning support and assistance for learners of different educational levels,and studies have shown that digital educational games can improve learners'academic performance.However,there are still some controversies about their effectiveness in promoting higher-order thinking development.For this reason,this study uses meta-analysis to comprehensively analyze the data of 28 empirical studies at home and abroad(containing a total of 39 effective effect sizes)for validation.It is showed that digital educational games have a moderately high degree of facilitating effect on higher-order thinking development,with a combined effect size of 0.778;further moderating effect tests show that the effectiveness of digital educational games on higher-order thinking development is influenced by three moderating variables,namely,academic level,competition mechanism,and gaming environment;however,subject matter,embodied interaction,story,and feedback do not significantly affect the effectiveness of digital educational games on higher-order thinking development.These findings emphasize the importance of mindfully designing digital educational games for higher-order thinking development.
关键词
数字教育游戏/高阶思维/元分析Key words
Digital educational games/Higher-order thinking/Meta-analysis引用本文复制引用
基金项目
2023年国家社会科学基金教育学一般项目(BCA230270)
出版年
2024
NETL
NSTL
万方数据