Large-Scale Studies in Mathematics Education / Research in Mathematics Education (PDF)
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In recent years, funding agencies like the Institute of Educational Sciences and the National Science Foundation have increasingly emphasized large-scale studies with experimental and quasi-experimental designs looking for 'objective truths'. Educational researchers have recently begun to use large-scale studies to understand what really works, from developing interventions, to validation studies of the intervention, and then to efficacy studies and the final "scale-up" for large implementation of an intervention. Moreover, modeling student learning developmentally, taking into account cohort factors, issues of socioeconomics, local political context and the presence or absence of interventions requires the use of large data sets, wherein these variables can be sampled adequately and inferences made. Inroads in quantitative methods have been made in the psychometric and sociometric literatures, but these methods are not yet common knowledge in the mathematics education community. In fact, currently there is no volume devoted to discussion of issues related to large-scale studies and to report findings from them. This volume is unique as it directly discusses methodological issues in large-scale studies and reports empirical data from large-scale studies.
Jinfa Cai is a Professor of Mathematics and Education and the director of Secondary math education at the University of Delaware. He is interested in how students learn mathematics and solve problems, and how teachers can provide and create learning environments so that students can make sense of mathematics. He received a number of awards, including a National Academy of Education Spencer Fellowship, an American Council on Education Fellowship, an International Research Award, and a Teaching Excellence Award. He has been serving on the Editorial Boards for several international journals, such as the Journal for Research in Mathematics Education. He was a visiting professor in various institutions, including Harvard University. He has serves as a Program Director at the U.S. National Science Foundation (2010-2011) and a co-chair of American Educational Research Association's Special Interest Group on Research in Mathematics Education (AERA's SIG-RME) (2010-2012). He will be chairing a plenary
Stephen Hwang is currently a post-doctoral researcher working with Jinfa Cai in the Department of Mathematical Sciences at the University of Delaware. His research interests include the teaching and learning of mathematical justification and proof, the nature of practice in the discipline of mathematics, the development of mathematical habits of mind, and mathematics teacher preparation.
- 2015, 2015, 432 Seiten, Englisch
- Herausgegeben: James A. Middleton, Jinfa Cai, Stephen Hwang
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319077163
- ISBN-13: 9783319077161
- Erscheinungsdatum: 05.05.2015
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- Größe: 7.39 MB
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