Literaturnachweis - Detailanzeige
| Autor/inn/en | Hyson, Daniel M.; Kovaleski, Joseph F.; Silberglitt, Benjamin; Pedersen, Jason A. |
|---|---|
| Titel | The data-driven school. Collaborating to improve student outcomes. |
| Quelle | New York: The Guilford Press (2020), XIII, 242 S. |
| Reihe | The Guilford practical intervention in the schools series |
| Beigaben | Illustrationen; Literaturangaben |
| Sprache | englisch |
| Dokumenttyp | gedruckt; Monographie |
| ISBN | 9781462543069 (Taschenbuch) |
| Schlagwörter | USA; School management and organization; Data processing; United States; Decision making; Academic achievement; Educational accountability; Bildungstheorie; Bildungspraxis |
| Abstract | The rationale and context for a data-driven school -- Systems-level problem identification -- Systems-level problem analysis -- Systems-level plan development, plan implementation, and plan evaluation -- Data-driven problem solving at the grade, classroom, and student levels : initial considerations -- Implementing data teaming at the school and grade level for academic skills -- Implementing data teaming at the school and grade level for behavior and social-emotional skills -- Data management using technology -- Developing data leaders. "This indispensable practitioner's guide helps to build the capacity of school psychologists, administrators, and teachers to use data in collaborative decision making. It presents an applied, step-by-step approach for creating and running effective data teams within a problem-solving framework. The authors describe innovative ways to improve academic and behavioral outcomes at the individual, class, grade, school, and district levels. Applications of readily available technology tools are highlighted. In a large-size format with lay-flat binding for easy photocopying, the book includes learning activities and helpful reproducible forms. Purchasers get access to a companion website where they can download printable copies of the reproducible materials, plus interactive computer-based tools. Subject Areas/Key Words: school psychology, assessments, data teams, teaming, data analysis, data-based decision making, problem-solving models, data leaders, student management systems, technology tools, systems change, school consultation, academic skills problems, behavioral, social-emotional, instructional decisions, progress monitoring, intervention planning, MTSS, multi-tiered systems of support, response to intervention, RTI, testing, screening, statistical software Audience: School psychologists, school and district administrators, and teachers in grades K-12; researchers and graduate students"--Provided by publisher. |
| Erfasst von | Library of Congress, Washington, DC |
| Update | 2022/3/07 |
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