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A Review of Common Rates of Improvement When Implementing Whole-Number Operation Math Interventions

机译:实施全数字运行数学干预措施时常见改进率的综述

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Understanding typical rates of growth under intervention is necessary to establish what environmental expectations one should have and serves as a benchmark when investigating novel interventions. These trends are not well understood in the math domain. The current study addressed this gap by aggregating available data on digits correct per minute (DCPM) growth in single-skill curriculum-based measurements as students undergo intervention. We synthesized data from 28 single-case studies examining the effects of brief math interventions using empirical Bayes estimates of slope. Subcategories of targeted math operation, initial instructional level, and instructional set size were examined. It was found that the average growth rate across sessions of intervention was 1.62 DCPM, and across blocks of 15 min of instructional time was 3.58 DCPM. However, rates varied based on addressed moderators. Implications for both researchers and practitioners planning single-skill math intervention are addressed.
机译:理解干预典型的增长率是必要的,以确定一个环境期望应该是什么,并在调查新的干预措施时作为基准。数学域中的这些趋势尚不清楚。当学生接受干预时,通过在单一技能课程测量中汇总每分钟的可用数据(DCPM)的每分钟(DCPM)的增长来解决此差距。我们从28项单案研究中综合了数据,检查了使用经验贝叶斯坡度的简短数学干预的影响。检查了有针对性的数学运行,初始教学水平和教学集规模的子类别。有发现干预会话的平均增长率为1.62 dcpm,跨教学时间的15分钟块为3.58 dcpm。但是,基于所寻址的主持人的费率变化。针对研究人员和从业者规划单技能数学干预的影响是解决的。

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