Vulnerable students have been marginalized through the use of accountability data for many years. This book describes an important construct, culturally responsive data literacy (CRDL), which merges data literacy and culturally responsive practices to help educators assume a whole child perspective, an asset model, and an equity lens to the examination and use of data. CRDL promotes the use of diverse data sources such as students’ personal backgrounds as well as academic history to help educators better meet individual needs, rather than reducing students to a single test score. The book provides authentic scenarios developed around topics educators may encounter in practice. It presents guiding questions that can help educators examine unconscious bias. The book, in taking a systems approach, seeks to reach educator preparation programs, in-service technical assistance providers, and professional organizations to build awareness of the importance of CRDL and to provide usable resources for educators at all levels.-The only all-in-one resource showing how to use data literacy to support culturally responsiveness in PK-12 classrooms. -There are few options that explore, and explore well, what it means to be culturally responsive when it comes to the assessment of students.-Accessible and practical for teachers, cohesively tied to theory underlying the practice.-Valuable resource for teacher professional development as well as preservice teacher preparation, with an abundance of concrete, practical examples and scenarios with actionable recommendations, not merely theory.
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The first practical, accessible PK-12 resource to integrate culturally responsive teaching and practice data literacy into daily classroom practices.

Produktdetaljer

ISBN
9781538177273
Publisert
2024-05-21
Utgiver
Vendor
Rowman & Littlefield
Vekt
522 gr
Høyde
261 mm
Bredde
185 mm
Dybde
15 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
142

Om bidragsyterne

Ellen B. Mandinach is a Senior Research Scientist and a leading expert in the area of data-driven decision making at the classroom, district, and state levels. Her work over the past 20 years has focused on understanding how educators are using data to inform practice. She has written and spoken widely on the topic, and has served on a number of technical working groups and advisory boards on data use. She first developed the construct data literacy for teachers and now culturally responsive data literacy. Dr. Mandinach is working with schools of education, teacher preparation programs, professional organizations, and state and local education agencies to help them integrate culturally responsive data literacy and data ethics into their work. Most recently, she is helping to build the data infrastructure at the Nevada Department of Education and in districts throughout Vermont. She is developing materials on data privacy and data ethics for educator preparation and in-service training to help educators use data effectively and responsibly.

Dr. Mandinach has authored dozens of publications for academic journals, technical reports, and seven books. She has guest edited several special issues of journals, including Teachers College Record, Studies in Educational Evaluation, and Teaching and Teacher Education. She was an author on the IES Practice Guide, Using Student Achievement Data to Support Instructional Decision Making. Recent books, Data Literacy for Educators: Making It Count in Teacher Preparation and Practice and Transforming Teaching and Learning Through Data-Driven Decision Making, are volumes that help educators to make better use of data. Her most recent book, The Ethical Use of Data in Education: Promoting Responsible Policies and Practice, focuses on data ethics in education. She has regularly presented at international, national, and regional conferences on education and psychology. She received the 2015 Paul D. Hood Award for Distinguished Contribution to the Field from WestEd. She has served as the President of the American Psychological Association’s Division of Educational Psychology. She created the Data-Driven Decision Making in Education Special Interest Group of the American Educational Research Association and served as its first chair. She is a Fellow of APA and AERA. She received an AB in psychology from Smith College and a Ph.D. in educational psychology from Stanford University.