1st Edition

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

Edited By Jeffrey C. Wayman Copyright 2005
130 Pages
by Routledge

130 Pages
by Routledge

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... Read more
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.

Biography

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