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首页> 外文期刊>World Bank Research Observer >What Really Works to Improve Learning in Developing Countries? An Analysis of Divergent Findings in Systematic Reviews
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What Really Works to Improve Learning in Developing Countries? An Analysis of Divergent Findings in Systematic Reviews

机译:哪些措施真正有效地改善了发展中国家的学习?系统评价的不同发现分析

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摘要

Over the course of just two years, at least six reviews have examined interventions that seek to improve learning outcomes in developing countries. Although the reviews ostensibly have the same objective, they reach sometimes starkly different conclusions. The first objective of this paper is to identify why reviews diverge in their conclusions and how future reviews can be more effective. The second objective is to identify areas of overlap in the recommendations of existing reviews of what works to improve learning. This paper demonstrates that divergence in the recommendations of learning reviews is largely driven by differences in the samples of research incorporated in each review. Of 229 studies with student learning results, the most inclusive review incorporates less than half of the total studies. Across the reviews, two classes of programs are recommended with some consistency. Pedagogical interventions that tailor teaching to student learning levels-either teacher-led or facilitated by adaptive learning software-are effective at improving student test scores, as are individualized, repeated teacher training interventions often associated with a specific task or tool. Future reviews will be most useful if they combine narrative review with meta-analysis, conduct more exhaustive searches, and maintain low aggregation of intervention categories.
机译:在短短两年的时间里,至少有六次审查审查了旨在改善发展中国家学习成果的干预措施。尽管这些评论表面上具有相同的目的,但有时得出的结论截然不同。本文的第一个目的是确定为什么评论的结论不一致,以及将来的评论如何更有效。第二个目标是在现有的关于改进学习的评论的建议中确定重叠的领域。本文表明,学习评论建议的差异很大程度上是由每个评论所包含的研究样本的差异所驱动。在229项具有学生学习结果的研究中,最具包容性的评论纳入的研究不足总研究的一半。在评论中,建议两类程序保持一致。将教学调整为适合学生学习水平的教学干预措施(无论是教师主导还是由自适应学习软件推动)有效地提高了学生的考试成绩,因为个性化,重复的教师培训干预措施通常与特定的任务或工具有关。如果将来的评论将叙述性评论与荟萃分析相结合,进行更详尽的搜索并保持较低的干预类别汇总,则它们将是最有用的。

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