Unverified50% confidenceFactExact time
根据约翰·哈蒂对80,000余项教育研究的元分析《可见的学习》，教育干预的平均效应量约为0.4标准差
1
Sources
50%
Confidence
Long-term
Relevance
7/7/2026
First Seen
Sources
AI导师效应量达1.30：达特茅斯实验如何逼近教育界「两西格玛」圣杯
hackernewshackernews7/5/2026
Related Claims
Unverified哈蒂的元分析显示教育干预的平均效应量约为0.4 SD，其中反馈为0.73 SD、直接教学法0.60 SD、教师-学生关系0.72 SD、课堂规模缩减0.21 SD、开放式学习空间0.01 SD79% similarUnverifiedResearch from Dartmouth College shows that a new AI tutoring system deployed in real courses achieved learning effect sizes of 0.71 to 1.30 standard deviations.71% similarUnverified研究数据表明接受同伴教学的学生在概念理解测试中的得分比仅听讲座的学生平均高出20%-30%，且知识保留率更高70% similarUnverifiedBloom的研究发现个性化辅导效果比传统教学高出约两个标准差，被称为2-sigma问题，优秀学生比例可从约20%提升至80%以上69% similarUnverifiedThe effect size of 1.30 standard deviations from the Dartmouth experiment has not yet fully reached Bloom's two-sigma threshold, but it already far exceeds the vast majority of educational interventions.69% similar
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