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Using Data to Improve Teacher Education
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Using Data to Improve Teacher Education : Moving Evidence Into Action

Book Details

Format Paperback / Softback
ISBN-10 0807764701
ISBN-13 9780807764701
Publisher Teachers' College Press
Imprint Teachers' College Press
Country of Manufacture US
Country of Publication GB
Publication Date Feb 5th, 2021
Print length 272 Pages
Weight 378 grams
Dimensions 15.60 x 22.80 x 1.80 cms
Ksh 5,950.00
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Offers concrete examples of how data can be used by faculty, staff, and program leaders to improve their collective work as teacher educators. Strong external accountability mandates often lead to tensions that undermine morale and motivation. This volume focuses on navigating these tensions so that valuable programmatic change can happen.
This book offers concrete examples of how data can be used by faculty, staff, and program leaders to improve their collective work as teacher educators. Strong external accountability mandates often lead to tensions that undermine local morale and motivation. This volume focuses on the practical work of navigating these tensions so that valuable programmatic change can happen. It describes policies and practices drawn from a study of "high data use" teacher education programs from around the country that have strategically engaged the challenges of learning to use data for program improvement. Readers will see how the data-use work carried out in these programs strengthened local program identity and coherence. Representing a collaborative effort between researchers and practitioners, this volume presents lessons learned to assist teacher educators who are engaged daily with the challenges of making data useful and used in their programs.

Book Features:

  • Examples of how tensions between external mandates for accountability and program improvement can be navigated in ways that are grounded in local program values.
  • Detailed case study portraits of individual programs that offer a full and action-oriented sense of data use work.
  • Strategies for ensuring that data systems are responsive to multiple stakeholders, such as faculty, administrators, students, and policymakers.
  • A diversity of perspectives and experiences from small liberal arts colleges, large teacher preparation institutions, and research-intensive universities.

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