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Victoria L. Bernhardt – Eye on Education, 2025
With the 5th Edition of Data Analysis for Continuous School Improvement, best-selling Victoria Bernhardt has written the go-to-resource for data analysis in your school! By incorporating collaborative structures to implement, monitor, and evaluate the vision and continuous improvement plan, this book provides a framework to show learning…
Descriptors: Learning Analytics, Data Analysis, Educational Improvement, Evaluation Methods
Bailey, Kim; Jakicic, Chris – Solution Tree, 2023
In the second edition of this pivotal work by Kim Bailey and Chris Jakicic, you will discover updated and improved resources to use formative data to support higher levels of student learning. Data-driven techniques and new tools will guide you in improving collaboration and student engagement throughout the assessment process. Teams can use the…
Descriptors: Guides, Formative Evaluation, Learner Engagement, Kindergarten
Adam Parrott-Sheffer; Carmen Williams; David Rease Jr.; Kathryn Parker Boudett – Harvard Education Press, 2024
In "System Wise," Adam Parrott-Sheffer, Carmen Williams, David Rease, Jr., and Kathryn Parker Boudett provide a blueprint to scale up the Data Wise process for continuous improvement, extending it from classrooms and schools to broader educational contexts. The System Wise approach highlights the adaptability of the Data Wise protocols,…
Descriptors: Instructional Improvement, Outcomes of Education, Data Use, Learning Analytics
Kirp, David; Wechsler, Marjorie; Gardner, Madelyn; Ali, Titilayo Tinubu – Oxford University Press, 2022
"Disrupting Disruption" shows how three racially and ethnically diverse school districts--Union NJ, Union City OK, and Roanoke City VA--have defied the demographic odds, boosting overall graduation rates while shrinking or eliminating the opportunity gap. These districts resemble many others in their student population. What makes them…
Descriptors: School Restructuring, Ethnicity, Race, Student Diversity
Soto, Ivannia – Corwin, 2021
The need for powerful professional learning to enable Multilingual Learners reach their full potential is more profound than ever. MLL shadowing is a way to create urgency around the instructional and academic needs of Multilingual Learners. The MLL Shadowing protocol is used to collect data on MLL's opportunities for speaking and listening--the…
Descriptors: Multilingualism, English Language Learners, Educational Needs, Speech Communication