Journal ArticleDOI
Teacher training, teacher quality and student achievement
Douglas N. Harris,Tim R. Sass +1 more
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In this article, the effects of various types of education and training on the productivity of teachers in promoting student achievement were studied. But they did not find a consistent relationship between formal professional development training and teacher productivity, and they found no evidence that teachers' pre-service training or college entrance exam scores are related to productivity.About:
This article is published in Journal of Public Economics.The article was published on 2011-08-01. It has received 1263 citations till now. The article focuses on the topics: Professional development.read more
Citations
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Charter Schools and Student Achievement in Florida.
TL;DR: The authors used longitudinal data covering all public school students in Florida to study the performance of charters and their competitive impact on traditional public schools and found that achievement initially is lower in charters.
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How to learn about teaching: An evolutionary framework for the study of teaching behavior in humans and other animals.
TL;DR: It is argued that disputes about the nature and prevalence of teaching across human societies and nonhuman animals are based on a number of deep-rooted theoretical differences between fields, as well as on important differences in how teaching is defined.
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Does Professor Quality Matter? Evidence from Random Assignment of Students to Professors
Scott E. Carrell,James E. West +1 more
TL;DR: The authors compare metrics that capture three different notions of instructional quality and present evidence that professors who excel at promoting contemporaneous student achievement teach in ways that improve their student evaluations but harm the follow-on achievement of their students in more advanced classes.
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Parental Effort, School Resources, and Student Achievement
TL;DR: This article found that parental effort has a strong positive effect on student achievement and that parents appear to reduce their effort in response to increased school resources, suggesting potential crowding out of school resources.
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Can Professional Environments in Schools Promote Teacher Development? Explaining Heterogeneity in Returns to Teaching Experience:
Matthew A. Kraft,John P. Papay +1 more
TL;DR: This work examines the role of school context in explaining differences in teacher improvement over time using a measure of the professional environment constructed from teachers responses to state-wide surveys, and shows that teachers working in more supportive professional environments improve their effectiveness more over time.
References
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Posted Content
Teachers, Schools, and Academic Achievement
Eric A. Hanushek,Eric A. Hanushek,Eric A. Hanushek,John F. Kain,Steven G. Rivkin,Steven G. Rivkin +5 more
TL;DR: The authors disentangles the separate factors influencing achievement with special attention given to the role of teacher differences and other aspects of schools, and estimates educational production functions based on models of achievement growth with individual fixed effects.
Posted Content
The Economics of Schooling: Production and Efficiency in Public Schools.
TL;DR: In this article, the authors point out that public and professional interest in education is likely to be short-lived, doomed to dissipate as frustration over the inability of policy to improve school practice sets in.
Journal ArticleDOI
Teachers, Schools, and Academic Achievement
TL;DR: In this article, the authors disentangle the impact of schools and teachers in influencing achievement with special attention given to the potential problems of omitted or mismeasured variables and of student and school selection.
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Effects of Teachers’ Mathematical Knowledge for Teaching on Student Achievement:
TL;DR: It is found that teachers’ mathematical knowledge was significantly related to student achievement gains in both first and third grades after controlling for key student- and teacher-level covariates.
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Robust Inference with Multi-way Clustering
TL;DR: The authors proposed a variance estimator for the OLS estimator as well as for nonlinear estimators such as logit, probit, and GMM that enables cluster-robust inference when there is two-way or multiway clustering that is nonnested.