Transforming Data Into Knowledge: Applications of Data-based Decision Making To Improve Instructional Practice:a Special Issue of the journal of Education for Students Placed at Risk

by Jeffrey C. Wayman (Editor)

Overview

This Special Issue includes works on linking data and learning, using student-assessment results, data mining, data decision making for teachers, identifying student's needs with technology and data use in urban high schools. The goals of the Journal of Education for Students Placed At Risk (JESPAR) are to provide the best research-based information possible to professionals involved with improving the education of students placed at risk and to promote the use of that information through effective communications among researchers, policymakers, and practitioners in the field. JESPAR publishes articles geared to academic researchers, policy analysts, and especially to practitioners regarding practical, research-based progress in the field of education for students placed at risk. The journal offers refereed research articles on promising programs; descriptions of promising programs in the field; case studies of schools that work; literature reviews; book and report reviews; regular communications on Title I regulations; and school and district practices from federal, state, and local perspectives.

Product Details

ISBN-13:	9780805894349
Publisher:	Taylor & Francis
Publication date:	06/23/2005
Series:	Journal of Education for Students Placed at Risk Ser. , #10
Pages:	130
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

Jeffrey C. Wayman, Center for Social Organization of Schools, Johns Hopkins University.

Table of Contents

Volume 10, Number 3, 2005
Contents: J.C. Wayman, Guest Editor's Introduction. C. Brunner, C. Fasca, J. Heinze, M. Honey, D. Light, E. Mandinach, D. Wexler, Linking Data and Learning: The Grow Network Study. R.J. Murnane, N.S. Sharkey, K.P. Boudett, Using Student-Assessment Results to Improve Instruction: Lessons From a Workshop. P.A. Streifer, J.A. Schumann, Using Data Mining to Identify Actionable Information: Breaking New Ground in Data-Driven Decision Making. J.C. Wayman, Involving Teachers in Data-Driven Decision Making: Using Computer Data Systems to Support Teacher Inquiry and Reflection. E. Chen, M. Heritage, J. Lee, Identifying and Monitoring Students' Learning Needs With Technology. M.A. Lachat, S. Smith, Practices That Support Data Use in Urban High Schools.