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Luvon Hudson; Tawheedah Abdullah; Max Altman – Equity Assistance Center-South, 2025
In the complex and dynamic environment of schools, the greatest asset is the collective wisdom of educators. The insights, experiences, and perspectives of teachers and staff are the most valuable data for driving meaningful improvement and fostering a positive environment where both students and adults can thrive. To lead effectively, one must…
Descriptors: Feedback (Response), Educational Improvement, Data Collection, Educational Environment
Perez, Zeke, Jr.; von Zastrow, Claus – Education Commission of the States, 2023
Data governance is a core obligation for leaders and staff across any agency that collects, stores or uses individuals' data. It ensures that individuals' personal information is protected, and can support the continuous improvement of data quality and use, particularly when it includes well-defined processes, structure and responsibilities.…
Descriptors: Governance, Data Use, Privacy, Information Management
Allen, Patricia J.; Brown, Zoe; Noam, Gil G. – International Journal for Research on Extended Education, 2020
An innovative system-building initiative known as the STEM Learning Ecosystems Community of Practice (SLECoP) is transforming U.S. STEM education through cross-sector partnerships between schools, afterschool and summer programs, libraries, museums, and businesses, among others. Although logic models exist to describe how SLEs can make positive…
Descriptors: STEM Education, Learning Processes, Ecology, Communities of Practice
Rouleau, Kristin; Corner, Tracie – McREL International, 2020
Multiple researchers have described walkthroughs as effective ways for instructional leaders (commonly principals, but also various other roles like assistant principals and teacher coaches) to play an active role in generating focused, qualitative data to inform schoolwide improvement efforts (Bole & Farizo, 2013; Starrett, 2015). In addition…
Descriptors: Observation, Classroom Observation Techniques, Data Collection, Capacity Building
Moeller, Eliza; Seeskin, Alex; Nagaoka, Jenny – University of Chicago Consortium on School Research, 2018
The UChicago Consortium, Network for College Success, and the To&Through Project's new paper, "Practice-Driven Data: Lessons from Chicago's Approach to Research, Data, and Practice in Education," shares key lessons learned from Chicago's approach to using data to foster ongoing improvement in students' educational attainment. This…
Descriptors: Public Schools, Data Collection, Data Analysis, Educational Improvement
Connors-Tadros, Lori; Grafwallner, Rolf; Martella, Jana; Schultz, Thomas – Center on Enhancing Early Learning Outcomes, 2018
The Center on Enhancing Early Learning Outcomes' (CEELO) mission is to strengthen the capacity of State Education Agencies and state Early Learning Agencies to lead sustained improvements in early learning opportunities and outcomes. These agencies have authority to establish and implement policies, administer funding and provide oversight for…
Descriptors: Early Childhood Education, State Agencies, State Departments of Education, Educational Improvement
McCart, Amy; McSheehan, Michael; Sailor, Wayne; Mitchiner, Melinda; Quirk, Carol – National Center on Schoolwide Inclusive School Reform: The SWIFT Center, 2016
The Schoolwide Integrated Framework for Transformation (SWIFT) employs six technical assistance (TA) practices that support an initial transformation process while simultaneously building system capacity to sustain and scale up equity-based inclusion in additional schools and districts over time. This paper explains these individual practices and…
Descriptors: Technical Assistance, Equal Education, Educational Improvement, Visualization
Sharratt, Lyn; Fullan, Michael – Journal of Staff Development, 2013
Education is overloaded with programs and data. The growth of digital power has aided and abetted the spread of accountability-driven data--Adequate Yearly Progress, test results for every child in every grade, Common Core standards, formative and summative assessments. Technology accelerates the onslaught of data. All this information goes for…
Descriptors: Data Collection, Faculty Development, Capacity Building, Academic Achievement
Journal of Applied Research on Children, 2012
The Data Quality Campaign (DQC) has been focused since 2005 on advocating for states to build robust state longitudinal data systems (SLDS). While states have made great progress in their data infrastructure, and should continue to emphasize this work, data systems alone will not improve outcomes. It is time for both DQC and states to focus on…
Descriptors: Data, Educational Quality, Information Utilization, Decision Making
Data Quality Campaign, 2015
The reauthorization of the Elementary and Secondary Education Act (ESEA) provides an opportunity to transform how data are used in education. The 2002 ESEA requirement to disaggregate data and provide them to the public has made it possible to have greater transparency and more accurate measures of academic performance than ever. Congress now has…
Descriptors: Federal Legislation, Educational Legislation, Elementary Secondary Education, Data Collection
Reform Support Network, 2015
The Sustainability Rubric is a tool for SEAs to use in assessing the sustainability of any reform initiative (for example, implementing an educator effectiveness system). The rubric introduces a succinct description of the three primary categories of sustainability: context for sustaining reform, system capacity and performance management. The…
Descriptors: Sustainability, Scoring Rubrics, Educational Change, State Departments of Education
Reform Support Network, 2015
The Sustainability Rubric Summary is a condensed version of the full Sustainability Rubric [see ED611436]. It provides an overview of the rubric's purpose; the categories, elements, and variables of sustainability; and the guiding questions to consider. This brief document is intended to be used for reference throughout your ongoing sustainability…
Descriptors: Sustainability, Scoring Rubrics, Educational Change, State Departments of Education
National School Climate Center, 2012
Student learning and development are a function of both individual and systemic factors. Individual factors include students' motivation as well as their intellectual and social abilities. Systemic factors include teacher quality, administrative leadership, community engagement, and learning environments. The increasing numbers of children living…
Descriptors: Educational Environment, Well Being, Cooperation, Data Collection
Reform Support Network, 2015
This companion document to the "Sustainability Rubric" (see ED611436) contains a series of exercises designed to answer the question, "I want to make our reforms sustainable--where do I start?" The workbook is designed to help a designated facilitator lead a series of meetings for the appropriate team in a State Education…
Descriptors: Sustainability, Scoring Rubrics, Educational Change, State Departments of Education
Park, Sandra; Hironaka, Stephanie; Carver, Penny; Nordstrum, Lee – Carnegie Foundation for the Advancement of Teaching, 2013
In recent years, "continuous improvement" has become a popular catchphrase in the field of education. However, while continuous improvement has become commonplace and well-documented in other industries, such as healthcare and manufacturing, little is known about how this work has manifested itself in education. This white paper attempts…
Descriptors: Educational Improvement, Total Quality Management, Instructional Improvement, Case Studies
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