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Jessica Arnold; Julie Webb – WestEd, 2024
While there are many different types of education data, policymakers and education leaders often place heavy emphasis on data from large-scale quantitative measures, such as annual state assessments. But data from these sources alone do not provide a complete picture of learning and are often not well suited to informing improvements at the local…
Descriptors: Data Use, Measurement, Educational Improvement, Outcomes of Education
Juan D’Brot; W. Chris Brandt – Region 5 Comprehensive Center, 2024
Evaluation is a critical component of continuous improvement in education. Robust evaluations enable engaged parties to determine program and intervention impact on key outcomes, identify areas for improvement, and guide future actions. Additionally, as educational systems increasingly focus on data-driven decisionmaking, evaluation becomes even…
Descriptors: Evaluation, Educational Improvement, Program Evaluation, Educational Practices
Denise Nadasen – Association of Public and Land-grant Universities, 2024
The Data Culture Framework is a high-level guide designed for institutional leaders who want to create and sustain an effective data culture on campus. The Framework offers a set of practices designed to help institutions of higher education create and maintain an effective data-informed community among institutional leaders, faculty, and staff.
Descriptors: Land Grant Universities, Data Collection, Data Use, College Faculty
Van Houten, Lori; Dunn, Lenay; Bond, Molly Faulkner; Blitz, Jennifer; Makkonen, Reino; Austin, Kim – Regional Educational Laboratory West, 2021
This guide is designed to help district and school site leaders assess the professional learning needs of elementary school teachers to implement research-based recommendations for the instruction of English learner students. It comprises two tools--the Teacher Self-Reflection Tool and the Classroom Observation Tool--and outlines a 10-step process…
Descriptors: English Language Learners, Elementary School Teachers, Faculty Development, Evidence Based Practice
Guenter, Cris – National Art Education Association, 2019
The teaching performance expectations and assignments that preservice art teachers currently address in field experiences and in their coursework are designed to help them meet the expectations of being a quality art educator in the 21st century. These assignments may be very different from the assignments that art educators had in their…
Descriptors: Data Use, Decision Making, Data Collection, Art Education
Cruse, Lindsey Reichlin; Holtzman, Tessa – Institute for Women's Policy Research, 2020
Head Start provides access to high-quality, affordable early learning opportunities for children alongside wraparound supports for parents which can help families achieve economic security by helping to facilitate parents' attainment of college credentials. Head Start-college collaboration can also bring important benefits to colleges and…
Descriptors: Partnerships in Education, Preschool Education, Disadvantaged Youth, College School Cooperation
Arnold, Jessica; Crane, Eric W. – Region 15 Comprehensive Center, 2021
In the summer and fall months of a "typical" year, many education leaders would receive reports of student performance on annual summative state assessments administered each spring. Using these data, administrators begin a process of sense-making -- identifying areas that need support and integrating new information offered by the data…
Descriptors: Decision Making, Data Use, Student Evaluation, COVID-19
Portilla, Ximena A.; Mattera, Shira; Wulfsohn, Samantha – MDRC, 2020
Improving the quality of teaching and instruction takes time and planning and may be costly and require intensive work. This is particularly true when trying to make improvements among multiple preschool sites, because preschool systems often lack a cohesive infrastructure for supporting high-quality implementation of curricula and teacher…
Descriptors: Preschool Education, Preschool Curriculum, Curriculum Implementation, Educational Quality
Fladd, Laurie; Heacock, Laurie; Hill-Kelley, Jennifer; Lawton, Julia; Pechac, Sharmaine; Shamah, Devora; Woodruff, Amber – Achieving the Dream, 2021
This guidebook is designed for institutional leaders and student success teams who are ready to talk openly about the students they serve and who are eager to learn practical strategies from national experts and peer institutions. We cannot design an experience that meets our students where they are unless we holistically understand who they are.…
Descriptors: Instructional Leadership, Instructional Design, Holistic Approach, Higher Education
Pratt-Williams, Jaunelle; Harris, Julie; Saucedo, Daniela; Mislevy, Jessica – Regional Educational Laboratory Appalachia, 2021
Regional Educational Laboratory Appalachia researchers developed the Cost-Feasibility Analysis (CFA) Toolkit to help education leaders estimate whether implementing supplemental online programs is affordable given a school or district's available resources. The CFA Toolkit guides users through a four-stage process that yields cost information that…
Descriptors: Cost Effectiveness, Feasibility Studies, Supplementary Education, Online Courses
Barrett, S.; Yanek, K.; Raulerson, C.; Flammini, A.; Scheel, N. – Center on Positive Behavioral Interventions and Supports, 2021
Schools everywhere are facing teacher shortages due to a shrinking pool of applicants and a growing number of teachers leaving the profession. If schools are going to attract and retain highly qualified effective teachers, they will need to be more intentional in designing systems that support a healthy workforce. Positive Behavioral Interventions…
Descriptors: Positive Behavior Supports, Teacher Shortage, Stress Variables, Teachers
Center on Standards and Assessments Implementation, 2018
The recommendations in this brief create a framework for using data effectively to make instructional decisions. The availability of student-level data for educators has pushed forward the movement to strengthen the role of data to guide instruction and improve student learning. While improvements in technology and assessments, as well as recent…
Descriptors: Student Evaluation, Information Utilization, Data Collection, Data Analysis
Zilvinskis, John; Willis, James, III; Borden, Victor M. H. – New Directions for Higher Education, 2017
The purpose of this chapter is to provide administrators and faculty with an understanding of learning analytics and its relationship to existing roles and functions so better institutional decisions can be made about investments and activities related to these technologies.
Descriptors: Educational Research, Data Analysis, Decision Making, Learning Activities
Brookhart, Susan M. – ASCD, 2015
In this book, best-selling author Susan M. Brookhart helps teachers and administrators understand the critical elements and nuances of assessment data and how that information can best be used to inform improvement efforts in the school or district. Readers will learn: (1) What different kinds of data can--and cannot--tell us about student…
Descriptors: Data, Decision Making, Student Evaluation, Data Analysis
Region 10 Comprehensive Center, 2021
This series of rapid briefs is being developed by the Wisconsin-Minnesota Comprehensive Center - Region 10 (WMCC10). The purpose of these briefs is to provide succinct and timely guidance on best practices for schools and school-based early learning programs regarding the assessment of student learning, with the goal of informing instructional…
Descriptors: COVID-19, Pandemics, Best Practices, Student Evaluation