Brief Experimental Analysis of Math Interventions: A Synthesis of Evidence

IF 0.8 Q2 EDUCATION & EDUCATIONAL RESEARCH ASSESSMENT FOR EFFECTIVE INTERVENTION Pub Date : 2019-12-31 DOI:10.1177/1534508419883937
Nicole M. McKevett, Robin S. Codding
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引用次数: 3

Abstract

Brief experimental analysis (BEA) is a quick method used to identify the function of student learning difficulties and match effective interventions to students’ needs. Extensive work has been done to explore the use of this methodology to determine effective reading interventions; however, a smaller number of published studies have examined the use of BEAs in math. The purpose of the current review was to identify all studies that have used BEA methodology in math. Fifteen studies that included 63 participants and used BEA methodology to identify the most effective math intervention for students were located. Results of the synthesis indicate that the majority of BEAs compared skill and performance interventions on computational fluency; however, the methodology across the included studies varied. Strengths and limitations of the research, in addition to implications for research and practice, are discussed.
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数学干预的实验分析——证据综合
简要实验分析(BEA)是一种快速识别学生学习困难功能并将有效干预措施与学生需求相匹配的方法。已经做了大量的工作来探索使用这种方法来确定有效的阅读干预措施;然而,少数已发表的研究对BEA在数学中的使用进行了研究。本综述的目的是确定所有在数学中使用BEA方法的研究。15项研究包括63名参与者,并使用BEA方法确定了对学生最有效的数学干预。综合结果表明,大多数BEA比较了技能和表现干预对计算流畅性的影响;然而,纳入研究的方法各不相同。除了对研究和实践的启示外,还讨论了研究的优势和局限性。
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来源期刊
ASSESSMENT FOR EFFECTIVE INTERVENTION
ASSESSMENT FOR EFFECTIVE INTERVENTION EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
3.10
自引率
0.00%
发文量
16
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