移动学习与学生的学业成绩:二阶元分析研究

IF 4 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Journal of Educational Computing Research Pub Date : 2024-01-08 DOI:10.1177/07356331241226589
Hong Li Yang, Jing Jing Xiang
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引用次数: 0

摘要

尽管移动学习与学业成绩之间的关系越来越受到一些研究者的关注,但元分析研究尚未明确得出移动学习对学业成绩的总体影响。为了综合与研究问题直接相关的 22 项元分析(包括已发表的论文)的结果,我们考察了发表年份、学科类别和年级在多大程度上调节了移动学习对学业成绩的影响,以及一阶元分析的方法论质量的调节作用。与传统学习相比,移动学习对学生学业成绩的总体影响为正,且具有显著性(g = .665 p < .001, 95% CI = .443-.887)。此外,研究结果证实,2019-2020年发表的荟萃分析的效应大小明显大于2014-2018年发表的荟萃分析,且无论学科类别、年级、一阶荟萃分析的方法学质量如何,结果都很稳定。最后,讨论了启示和局限性。
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Mobile Learning and Students’ Academic Achievement: A Second-order Meta-analysis Study
Though the relationship between mobile learning and academic achievement has increasingly gained attention by some researchers, the meta-analysis studies have yet to definitively conclude the overall impact of mobile learning on academic achievement. In order to synthesize the findings of 22 meta-analyses that are directly pertinent to the research question, encompassing papers that have been published, we examine to what extent publication year, subject category, and grade level moderate the influences of mobile learning on academic achievement as well as the moderating effect of methodological quality of first-order meta-analyses. There is the positive overall effect with significance (g = .665 p < .001, 95% CI = .443–.887) of mobile learning on students’ academic achievement compared to traditional learning. Moreover, the results confirmed that meta-analyses published in 2019–2020 had a significantly larger effect size than the ones published in 2014–2018, and the results were stable regardless of subject category, grade level, and methodological quality of first-order meta-analyses. Finally, insight and limitations were discussed.
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来源期刊
Journal of Educational Computing Research
Journal of Educational Computing Research EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
11.90
自引率
6.20%
发文量
69
期刊介绍: The goal of this Journal is to provide an international scholarly publication forum for peer-reviewed interdisciplinary research into the applications, effects, and implications of computer-based education. The Journal features articles useful for practitioners and theorists alike. The terms "education" and "computing" are viewed broadly. “Education” refers to the use of computer-based technologies at all levels of the formal education system, business and industry, home-schooling, lifelong learning, and unintentional learning environments. “Computing” refers to all forms of computer applications and innovations - both hardware and software. For example, this could range from mobile and ubiquitous computing to immersive 3D simulations and games to computing-enhanced virtual learning environments.
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