000726994 000__ 05061cam\a2200469Ii\4500 000726994 001__ 726994 000726994 005__ 20230306140847.0 000726994 006__ m\\\\\o\\d\\\\\\\\ 000726994 007__ cr\cn\nnnunnun 000726994 008__ 150511s2015\\\\sz\a\\\\ob\\\\001\0\eng\d 000726994 020__ $$a9783319077161$$qelectronic book 000726994 020__ $$a3319077163$$qelectronic book 000726994 020__ $$z9783319077154 000726994 0247_ $$a10.1007/978-3-319-07716-1$$2doi 000726994 035__ $$aSP(OCoLC)ocn908685772 000726994 035__ $$aSP(OCoLC)908685772 000726994 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dGW5XE$$dN$T$$dOCLCO$$dIDEBK$$dYDXCP$$dE7B$$dNUI$$dCOO$$dCDX$$dEBLCP 000726994 049__ $$aISEA 000726994 050_4 $$aQA11.2 000726994 08204 $$a510.71$$223 000726994 24500 $$aLarge-scale studies in mathematics education$$h[electronic resource] /$$cJames A. Middleton, Jinfa Cai, Stephen Hwang, editors. 000726994 264_1 $$aCham :$$bSpringer,$$c2015. 000726994 300__ $$a1 online resource (xxix, 432 pages) :$$billustrations. 000726994 336__ $$atext$$btxt$$2rdacontent 000726994 337__ $$acomputer$$bc$$2rdamedia 000726994 338__ $$aonline resource$$bcr$$2rdacarrier 000726994 4901_ $$aResearch in mathematics education 000726994 504__ $$aIncludes bibliographical references and index. 000726994 5050_ $$aPart One Introductory Section -- Chapter 1. On the Need for, and Traditions of, Large-Scale Research in MathematicsEducation.- Part Two Methodological issues -- Chapter 2. Measurement Issues in Large-Scale Mathematics Classroom Observation Protocols -- Chapter 3. Building Item Generation Environments Using Construct-Centered Design with Learning Trajectories in Mathematics.- Part Three Curriculum and Instruction -- Chapter 4. Curriculum and Implementation Effects on High School Students? Mathematics Learning.- Chapter 5. Learning Mathematics Using Standards-Based and Traditional Curricula: An Analysis of Homework Problems.- Chapter 6. Gains in Teachers? Knowledge and Changes in Instruction: A Three-Year Study of Mathematics Knowledge, Beliefs, and Teaching -- Chapter 7. Factors Influencing STEM Preparedness: From Algebra to Calculus -- Chapter 8. Effectiveness of Schema-Based Instruction for Improving Seventh-Grade Students? Proportional Reasoning -- Chapter 9. A Randomized Trial of Lesson Study: Impact on Teachers? and Students? Knowledge of Fractions -- Part Four National and International Studies -- Chapter 10. How is Students? Mathematics Knowledge Changing? Evidence from NAEP -- Chapter 11. Teacher Practices and Eighth Grade Students? Mathematics Achievement: Examining International Patterns -- Chapter 12. Measuring the Impact of Teacher Education on Learning to Teach Mathematics -- Chapter 13. Factors Influencing Participation in Mathematics and Physics -- Chapter 14. Effect of Intervention on Conceptual Change of Decimals in Chinese Elementary Students -- Chapter 15. Virtual Algebra Study, Jessica Heppen (American Institutes for Research) and her colleagues.-Part Five Looking into the future -- Chapter 16. Summary of Methodological Considerations for Large-Scale Research in Mathematics Education -- Chapter 17. Commentary 1. Jeremy Kilpatrick -- Chapter 18. Commentary 2. Alan Schoenfeld -- Chapter 19. Commentary 3. Ed Silver -- Chapter 20. Where the field needs to go?. 000726994 506__ $$aAccess limited to authorized users. 000726994 520__ $$aIn 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. 000726994 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 15, 2015). 000726994 650_0 $$aMathematics$$xStudy and teaching$$xResearch. 000726994 7001_ $$aMiddleton, James A.,$$eeditor. 000726994 7001_ $$aCai, Jinfa,$$d1963-$$eeditor. 000726994 7001_ $$aHwang, Stephen W.,$$eeditor. 000726994 77608 $$iPrint version:$$z9783319077154 000726994 830_0 $$aResearch in mathematics education (Springer (Firm)) 000726994 852__ $$bebk 000726994 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-07716-1$$zOnline Access$$91397441.1 000726994 909CO $$ooai:library.usi.edu:726994$$pGLOBAL_SET 000726994 980__ $$aEBOOK 000726994 980__ $$aBIB 000726994 982__ $$aEbook 000726994 983__ $$aOnline 000726994 994__ $$a92$$bISE