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Spowart, Lucy; Winter, Jennie; Turner, Rebecca; Muneer, Reema; McKenna, Colleen; Kneale, Pauline – International Journal for Academic Development, 2017
In this paper we report the outcomes of a national survey of academic development staff in a range of UK HE Institutions to consider the approaches adopted to evaluate teaching-related continual professional development (CPD). Despite the increasing drive towards accountability, the majority of respondents undertook no benchmarking to establish…
Descriptors: Foreign Countries, College Faculty, Professional Continuing Education, Faculty Development
TNTP, 2017
This report is drafted with state leaders and policy makers in mind, including those who work with or support these education leaders. The information shared in this report will likely be most relevant to states that have either not yet considered a new data system on teacher preparation providers, are only now starting to consider the idea, or…
Descriptors: Teacher Education Programs, Information Systems, Data Collection, Best Practices
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Shen, Jianping; Ma, Xin; Cooley, Van E.; Burt, Walter L. – Journal of School Leadership, 2016
We collected data from 691 teachers from 139 schools in Michigan to validate the instrument titled Data-informed Decision-making on High-impact Strategies, designed based on Marzano's (2003) 11 high-impact strategies. Results of confirmatory factor analysis strongly supported the 11-factor model as the most valid approach to measure teachers'…
Descriptors: Principals, Data Use, Decision Making, Educational Strategies
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Araitz Uskola – Journal of Baltic Science Education, 2016
Inquiry-based educational Araitz Uskola contexts including observation of the Moon have been found to facilitate students' understanding of the Sun-Earth-Moon system. However, the role that the collected data play in the knowledge construction process is unclear, as the process that students develop from the collected data has not previously been…
Descriptors: Astronomy, Science Education, Knowledge Level, Data Collection
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What Works Clearinghouse, 2016
This protocol guided the review of research that informed the recommendations contained in the What Works Clearinghouse (WWC) practice guide Using Student Achievement Data to Support Instructional Decision Making, published in September 2009. The research review involved the following steps: (1) The research staff searched the professional…
Descriptors: Data Use, Decision Making, Academic Achievement, Data
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Cumming, Therese M.; O'Neill, Sue C. – Intervention in School and Clinic, 2019
Students receiving behavioral supports in the third tier of the schoolwide positive behavioral interventions and supports (SWPBIS) framework are often identified as having emotional and behavior disabilities. Although educators implement evidence-based practices with fidelity, these practices are not always effective in supporting students with…
Descriptors: Data Use, Behavior Disorders, Emotional Disturbances, Intervention
Gamse, Beth C.; Spielberger, Julie; Axelrod, Jennifer; Spain, Angeline – Chapin Hall at the University of Chicago, 2019
Afterschool programs can offer enriching opportunities, homework help and a safe environment. To ensure that these programs are cohesive, high-quality and widely available, many cities have designed community-wide systems to coordinate the various afterschool programs offered by different providers. Having a way to collect and share reliable data…
Descriptors: After School Programs, Low Income Students, At Risk Students, Youth Programs
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Yamaguchi, Ryoko – Grantee Submission, 2019
The purpose of this evaluation was to understand the development, implementation, and impact of Project Exc-EL (Excellence for English Learners), a school-wide intervention focused on providing teacher professional development and training to better support English learners (ELs) in New York. Project Exc-EL focuses on training teachers to use data…
Descriptors: Faculty Development, Teacher Competencies, English Language Learners, Intervention
Data Quality Campaign, 2019
No vision of personalized learning can be realized without support for data use. State strategies to create student-centered classrooms require critical policy conditions that allow those closest to students to access and use timely, safeguarded data to make decisions. This case study outlines steps SEAs can take to ensure the effective use of…
Descriptors: Individualized Instruction, Decision Making, Data Use, State Departments of Education
Office of Finance and Operations, US Department of Education, 2021
The purpose of the U.S. Department of Education's (Department's) fiscal year (FY) 2021 "Agency Financial Report" (AFR) is to inform Congress, the President, other external stakeholders, and the American people on how the Department used the federal resources entrusted to it to advance the mission of the Department to promote student…
Descriptors: Public Agencies, Federal Government, Institutional Mission, Educational Finance
Data Quality Campaign, 2021
The 2020 election brought about legislative change across the country. New and veteran policymakers need information about the schools in their state. What programs are the most cost effective and work best for students? How can states attract and retain great teachers? What information do parents need to ensure that their kids are on track to…
Descriptors: Educational Policy, Policy Formation, Data Collection, Data Analysis
Villani, Susan; Williams, Daryl; Mundry, Susan – Center for Education Equity, Mid-Atlantic Equity Consortium, 2021
While school officials are grappling with how to bring students safely back to classrooms during a pandemic and provide them with a quality education, educators and the public are demanding that schools find remedies for systemic educational inequities. How can education leaders keep equity at the center of their own practice and in their…
Descriptors: Superintendents, Equal Education, Leadership, Educational Planning
Bresina, Britta Cook; McMaster, Kristen L. – Journal of Learning Disabilities, 2020
Data from a small randomized control trial of teachers' use of Data-Based Instruction (DBI) for early writing were analyzed to determine the influence of teacher knowledge, skills, and treatment fidelity on student Curriculum-Based Measurement (CBM) slope. Participants included 11 elementary grade teachers who delivered intensive intervention in…
Descriptors: Knowledge Base for Teaching, Teaching Skills, Writing Instruction, Curriculum Based Assessment
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Lavigne, Alyson L.; Olson, Amy M. – Leadership and Policy in Schools, 2020
The current study explores how principals (n = 568) experience a new teacher evaluation model under Race to the Top. Findings suggest that principals felt the least confident in their ability to identify teacher behaviors associated with student achievement gains and placed the least value on student achievement data. Evaluation experience…
Descriptors: Teacher Evaluation, Value Added Models, Academic Achievement, Accountability
Advance CTE: State Leaders Connecting Learning to Work, 2020
One of the biggest challenges that states and local intermediaries face in setting up and scaling high-quality youth apprenticeships is gathering relevant, accurate and actionable data. High-quality data is an essential ingredient for a strong youth apprenticeship program because it equips state and local leaders to evaluate impact, monitor…
Descriptors: Vocational Education, Youth Programs, Apprenticeships, Data Collection
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