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Understanding Pisas Attractiveness Critical Analyses In Comparative Policy Studies Florian Waldow Gita Steinerkhamsi Editors

  • SKU: BELL-50215468
Understanding Pisas Attractiveness Critical Analyses In Comparative Policy Studies Florian Waldow Gita Steinerkhamsi Editors
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Understanding Pisas Attractiveness Critical Analyses In Comparative Policy Studies Florian Waldow Gita Steinerkhamsi Editors instant download after payment.

Publisher: Bloomsbury Academic
File Extension: PDF
File size: 1.79 MB
Author: Florian Waldow; Gita Steiner-Khamsi (editors)
ISBN: 9781350057289, 9781350057319, 1350057282, 1350057312
Language: English
Year: 2019

Product desciption

Understanding Pisas Attractiveness Critical Analyses In Comparative Policy Studies Florian Waldow Gita Steinerkhamsi Editors by Florian Waldow; Gita Steiner-khamsi (editors) 9781350057289, 9781350057319, 1350057282, 1350057312 instant download after payment.

Understanding PISA’s Attractiveness examines how policy-makers and the media interpret the results of PISA league-leaders, losers, and slippers in ways that suit their own reform agendas. As a result, a myriad of explanations exist as to why an educational system is high or low performing. The chapters, written by leading scholars from Australia, Austria, Denmark, Finland, Germany, Norway, Singapore, South Korea, Spain, Sweden, Taiwan, the UK, and the USA, provide a fascinating account of why results from PISA and other international large-scale assessments are interpreted and translated differently in the various countries. The analyses in this book bring to light the wide array of idiosyncratic projections into these international tests. In some countries, these tests are also used to scandalise one’s own educational system and to generate quasi-external reform pressure. Compiled by two leading scholars in comparative education, Florian Waldow and Gita Steiner-Khamsi, this book offers a truly global perspective on the uses and abuses of PISA and will be of great interest to students and academics working in educational policy, comparative education, and political science, and those working on large-scale data sets.

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