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
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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
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Book Description
First Published in 2005. Routledge is an imprint of Taylor & Francis, an informa company.
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.