数学教育
班级(哲学)
星团(航天器)
风险学生
学习障碍
百分位
潜在类模型
心理学
质量(理念)
学业成绩
数学
发展心理学
统计
计算机科学
哲学
人工智能
程序设计语言
认识论
作者
Jonté A. Myers,Christopher Redding,Mary T. Brownell,Nicolas A. Gage,Walter L. Leite
标识
DOI:10.1177/08884064211070572
摘要
This latent class analysis study used a bias-adjusted three-step approach to empirically identify mutually exclusive clusters of teacher professional qualifications based on commonly studied indicators of teacher quality. We then examined the relationship between cluster membership and the mathematics gains of adolescents at risk for mathematics difficulties (MD), including students with disabilities and those without disabilities. We identified students at risk for MD as those performing at or below the 25th percentile on the state exam. We empirically identified eight qualitatively distinct and interpretable teacher qualification clusters. Based on value-added models, we found that teachers in Cluster 5 had lower average math learning gains than their peers in clusters with the most experienced and credentialed teachers. Cluster 5 included teachers who were novice and early-career, traditionally prepared math majors. We observed significant effects for the end or grade scores for the middle grades but not the algebra scores of high school students, suggesting teacher cluster membership effects varied by grade level. We discuss limitations and offer implications for research and policy.
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