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Data-based decision making ...
In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of evidence, such as scores on students' assessments, classroom observations etc. This book supports policy-makers, people working with schools, researchers and school leaders and teachers in the use of data, by bringing together the current research conducted on data use across multiple countries into a single volume. Some of these studies are 'best practice' studies, where effective data use has led to improvements in student learning. Others provide insight into challenges in both policy and practice environments. Each of them draws on research and literature in the field
Monografía
monografia Rebiun35040093 https://catalogo.rebiun.org/rebiun/record/Rebiun35040093 m o d cr cnu---unuuu 121001s2013 ne a ob 001 0 eng d GBB2B0567 bnb 1034957957 1162687642 1167329734 1204008013 9789400748163 electronic bk.) 9400748167 electronic bk.) 9400748159 print) 9789400748156 print) 9789400748156 9781283634144 MyiLibrary) 1283634147 10.1007/978-94-007-4816-3 doi AU@ 000050182850 AU@ 000058151291 AU@ 000060504658 DEBSZ 397367589 NLGGC 356890678 NZ1 14695987 NZ1 15746411 DKDLA 820120-katalog:999899445205765 Springer GW5XE eng pn GW5XE YDXCP COO OCLCQ ZMC N$T SNK FTU OCLCF DEBSZ BEDGE OCLCQ OCLCO OCLCQ OCLCO Z5A VGM ESU IOG CEF U3W WYU YOU TKN LEAUB DKC OCLCQ UKAHL OCLCQ OCLCO U@J VT2 LUN OCLCQ OCLCO DCT OCLCO OCLCQ OCLCO OCLCL EZC SFB OCLCQ EDU 001000 bisacsh LB lcco JN. bicssc 371.2 23 Data-based decision making in education challenges and opportunities Kim Schildkamp, Mei Kuin Lai, Lorna Earl, editors Dordrecht New York Springer 2013 Dordrecht New York Dordrecht New York Springer 1 online resource (xiv, 216 pages) illustrations 1 online resource (xiv, 216 pages) Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in educational leadership v. 17 Includes bibliographical references (pages 205-207) and index Introduction Kim Schildkamp and Mei Kuin Lai. -- Data-based Decision Making: An Overview Mei Kuin Lai and Kim Schildkamp. -- Analysis and Discussion of Classroom and Achievement Data to Raise Student Achievement Mei Kuin Lai and Stuart McNaughton. -- From "Intuition"- to "Data"-based Decision Making in Dutch Secondary Schools? Kim Schildkamp and Melanie Ehren. -- Professional Attitudes to the Use of Data in England Christopher Downey and Anthony Kelly. -- Approaches to Effective Data Use: Does One Size Fit All? Elizabeth Archer, Vanessa Scherman and Sarah Howie. -- Improving Data Literacy in Schools: Lessons from the School Feedback Project Jan Vanhoof, Goedele Verhaeghe, Peter Van Petegem and Martin Valcke. -- Implementation of a Data Initiative in the NCLB Era Jeffrey C. Wayman, Daniel D. Spikes and Michael R. Volonnino. -- Towards Data-Informed Decisions: From Ministry Policy to School Practice Robert Dunn, Sonia Ben Jaafar, Lorna Earl and Steven Katz. -- Conclusions and a Data Use Framework Kim Schildkamp and Mei Kuin Lai. -- Data Use: Where to from Here? Lorna Earl and Karen Seashore Louis In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of evidence, such as scores on students' assessments, classroom observations etc. This book supports policy-makers, people working with schools, researchers and school leaders and teachers in the use of data, by bringing together the current research conducted on data use across multiple countries into a single volume. Some of these studies are 'best practice' studies, where effective data use has led to improvements in student learning. Others provide insight into challenges in both policy and practice environments. Each of them draws on research and literature in the field Education- Decision making Data mining Exploration de données (Informatique) EDUCATION- Administration- General Droit Sciences sociales Sciences humaines Data mining Education- Decision making Education Educational tests and measurements International and Comparative Education Assessment, Testing and Evaluation Teaching and Teacher Education Administration, Organization and Leadership Learning & Instruction dissertations Academic theses Academic theses Thèses et écrits académiques Schildkamp, Kim editor. edt Lai, Mei Kuin editor. edt Earl, Lorna M. Lorna Maxine) 1948-) editor. edt https://id.oclc.org/worldcat/entity/E39PCjGgdbDqvHV7J8yqVhTT73 Springer eBooks Springer eBooks Print version Data-based decision making in education. Dordrecht ; London ; New York : Springer, [2013] 9789400748156 (DLC) 2012947059 (OCoLC)817771454 Studies in educational leadership v. 17