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Collin Shepley – Journal of Autism and Developmental Disorders, 2024
Program evaluation is an essential practice for providers of behavior analytic services, as it helps providers understand the extent to which they are achieving their intended mission to the community they serve. A proposed method for conducting such evaluations, is through the use of a consecutive case series design, for which cases are…
Descriptors: Program Evaluation, Data Collection, Data Analysis, Evaluation Methods
Jorge Valenzuela; Serbrenia Sims, Contributor; Drew Hirshon, Contributor; Sara Leone, Contributor; Laurel Byrd, Contributor – Corwin, 2025
With teacher shortages, high staff turnover, and an influx of new and underprepared teachers, highly capable data-informed teaching teams are needed now more than ever. "Instructional Innovation+" provides educators with a systematic action research approach to achieve instructional innovation and guide teaching teams to success through…
Descriptors: Teacher Collaboration, Teamwork, Educational Innovation, Program Development
Bruhn, Allison L.; Estrapala, Sara; Mahatmya, Duhita; Rila, Ashley; Vogelgesang, Kari – Behavioral Disorders, 2023
Data-based individualization (DBI) is a process of collecting and analyzing data on students' response to intervention and then making intervention adaptations accordingly. Although this process can lead to better student outcomes, very few teachers are trained in the components of DBI, particularly in relation to behavior. Improving practice…
Descriptors: Faculty Development, Teacher Attitudes, Data Collection, Data Analysis
Fisk, Selena – Solution Tree, 2021
Data--done right--has the power to put schools on the path to true change. Rely on this research-backed resource to help you kickstart, implement, and sustain data-informed school-wide transformation. There are many ways to use student data, and the author's 10 steps offer practical, clear methods for establishing a data team, collecting relevant…
Descriptors: Data Use, Educational Change, Data Collection, Data Analysis
Bull, Bruce; Nelson, Robin – Center for IDEA Early Childhood Data Systems (DaSy), 2022
This guidance is for program and agency staff who have identified the need to develop a new data system or make major enhancements to an existing system. Key considerations are presented as questions to help guide staff through the initiation and planning process. The system initiation phase requires a broad team with the expertise and knowledge…
Descriptors: Educational Legislation, Federal Legislation, Equal Education, Students with Disabilities
Meg Bates – Illinois Workforce and Education Research Collaborative, Discovery Partners Institute, 2024
As part of its evaluation of the Illinois State Board of Education's Preschool Development Birth through Five Planning Grant (PDG B-5), Illinois Workforce and Education Research Collaborative (IWERC) completed an overview and evaluation of strengths and weaknesses in the current early childhood data systems. To complete this review, IWERC examined…
Descriptors: State Boards of Education, Early Childhood Education, Preschool Education, Data Collection
Hwang, Joyce – New America, 2021
Youth apprenticeship is a strategy for building a more inclusive economy by creating affordable, reliable, and equitable pathways from high school to good jobs and college degrees. As youth apprenticeship programs develop and expand across the U.S., it is critical that practitioners develop plans for capturing, analyzing, and leveraging data at…
Descriptors: Apprenticeships, High School Students, Partnerships in Education, Data Analysis
Gordon, Sarah; Smith, Elizabeth – Assessment & Evaluation in Higher Education, 2022
The role of faculty in gathering, analyzing and using student learning data is growing and changing, but still underrepresented in the higher education research literature. While faculty are often expected and required to participate in assessment work, some faculty go beyond assessment work as service to take leadership roles. Using data…
Descriptors: Teacher Role, Teacher Leadership, Leadership Role, Data Collection
Pinar Aksoy; Frank M. Gresham – International Journal of Psychology and Educational Studies, 2024
The preschool years, spanning from birth to age six, are crucial periods for acquiring social-emotional learning (SEL) skills. An effective way to address social-emotional learning deficits is to implement evidence-based intervention programs. The purpose of this article is to review specific evidencebased social-emotional learning intervention…
Descriptors: Social Emotional Learning, Evidence Based Practice, Preschool Children, Intervention
Stewart, Joshua; Joyce, Jeanette; Haines, Mckenzie; Yanoski, David; Gagnon, Douglas; Luke, Kyle; Rhoads, Christopher; Germeroth, Carrie – Regional Educational Laboratory Central, 2021
Program evaluation is important for assessing the implementation and outcomes of local, state, and federal programs. The Program Evaluation Toolkit provides tools and resources to support individuals responsible for evaluating and monitoring local, state, or federal programs. The toolkit comprises eight modules that cover critical steps in program…
Descriptors: Program Evaluation, Program Effectiveness, State Programs, Federal Programs
Brandon Sepulvado; Jennifer Hamilton – Society for Research on Educational Effectiveness, 2021
Background: Traditional survey efforts to gather outcome data at scale have significant limitations, including cost, time, and respondent burden. This pilot study explored new and innovative large-scale methods of collecting and validating data from publicly available sources. Taking advantage of emerging data science techniques, we leverage…
Descriptors: Automation, Data Collection, Data Analysis, Validity
Zinth, Jennifer; Taylor, Jason L. – New Directions for Institutional Research, 2019
Dual enrollment is a complex policy issue and is increasingly of interest to state policymakers. Adequate data and data systems are critical to informing dual enrollment policy, yet the data at the federal level and many state data systems suffer from common challenges and lack the capacity to address dual enrollment policy. We review the…
Descriptors: Dual Enrollment, Educational Policy, State Policy, Data Collection
Knight, Jim – ASCD, 2021
Even under ideal conditions, teaching is tough work. Facing unrelenting pressure from administrators and parents and caught in a race against time to improve student outcomes, educators can easily become discouraged (or worse, burn out completely) without a robust coaching system in place to support them. For more than 20 years, perfecting such a…
Descriptors: Coaching (Performance), Academic Achievement, Success, Teaching Methods
Marc T. Braverman – Journal of Human Sciences & Extension, 2019
This article examines the concept of credible evidence in Extension evaluations with specific attention to the measures and measurement strategies used to collect and create data. Credibility depends on multiple factors, including data quality and methodological rigor, characteristics of the stakeholder audience, stakeholder beliefs about the…
Descriptors: Extension Education, Program Evaluation, Evaluation Methods, Planning
Corrin, William; Zhu, Pei; Shih, Miki; Brown, Kevin Thaddeus, Jr.; Teres, Jed; Darrow, Catherine; Nichols, Austin; Lack, Kelly – National Center for Education Evaluation and Regional Assistance, 2022
These are the appendices for the report "The Effects of an Academic Language Program on Student Reading Outcomes." This study investigated WordGen Elementary, a program designed to improve fourth- and fifth-grade students' ability to understand and communicate academic language and their general reading skill. The program provider…
Descriptors: Academic Language, Reading Programs, Program Effectiveness, Reading Achievement

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