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Beth A. Rackliffe – ProQuest LLC, 2023
In an effort to best support student learning, school districts are seeking the most effective means of improving instruction while effectively addressing student inequities. As the focus on accountability intensifies, the use of data is paramount. Access to data alone, does not ensure quality, data-driven instruction. The lack of teacher…
Descriptors: Program Evaluation, Instructional Improvement, Data Use, Accountability
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Standish, Cassandra M.; Lambert, Joseph M.; Copeland, Bailey A.; Bailey, Kathryn M.; Banerjee, Ipshita; Lamers, Mallory E. – Journal of Behavioral Education, 2023
Trial-based functional analysis (TBFA) is an accurate and ecologically valid assessment of challenging behavior. Further, there is evidence to suggest that individuals with minimal exposure to behavior analytic assessment methodology (e.g., parents, teachers) can quickly be trained to conduct TBFAs in naturalistic settings (e.g., schools, homes).…
Descriptors: Functional Behavioral Assessment, Behavior Problems, Evaluation Methods, Training
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Buckman, Mark Mathew; Lane, Kathleen Lynne; Common, Eric Alan; Royer, David James; Oakes, Wendy Peia; Allen, Grant Edmund; Lane, Katie Scarlett; Brunsting, Nelson C. – Education and Treatment of Children, 2021
Treatment integrity is an important component of rigorous educational research. Information about the extent to which an intervention was implemented as planned provides necessary context for interpreting student outcomes. In the context of increasing use of tiered systems in schools, treatment integrity takes on additional practical importance.…
Descriptors: Intervention, Student Needs, Program Effectiveness, Prevention
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Barrett, Courtenay A. – Journal of Educational and Psychological Consultation, 2021
Coaching has been widely implemented to support the delivery of evidence-based practices in schools. Although coaching is effective in rigorous research studies, scholars question the effective translation of coaching in authentic schools. Data systems that monitor the fidelity and impact of coaching offer one solution to address three…
Descriptors: Coaching (Performance), Systems Approach, Information Systems, Fidelity
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Detrich, Ronnie – School Psychology Review, 2020
Including cost-effectiveness data in the evaluation of programs is the next step in the evolution of evidence-based practice. Evidence-based practice is grounded in three complementary elements: best available evidence, professional judgment, and client values and context. To fully apply the cost-effectiveness data, school administrators will have…
Descriptors: Cost Effectiveness, Evidence Based Practice, Program Evaluation, Data Use
Sommo, Colleen; Lepe, Marco; Ratledge, Alyssa – MDRC, 2022
Open-access colleges are an important pathway to economic mobility for millions of Americans. But graduation rates at these colleges are low--for example, only 36 percent of first-time, full-time freshmen at community colleges graduate within three years. Over the last two decades, MDRC and others have conducted research to build the evidence base…
Descriptors: COVID-19, Pandemics, Academic Support Services, Student Financial Aid
Kate Stepleton; Diane Schilder; Carly Morrison; Catherine Kuhns; Irma Castañeda; Jonah Norwitt; Olivia Mirek; Anna Fleming – Office of Planning, Research and Evaluation, 2024
Federal guidance allows Head Start grant recipients to apply to the Office of Head Start to shift funding (i.e., convert enrollment slots) from Head Start services for preschool-age children to Early Head Start services for pregnant women, infants, and toddlers. Yet scant information is available about how grant recipients navigate the conversion…
Descriptors: Social Services, Low Income Students, Federal Programs, Early Intervention
Mason, Erica N.; Smith, R. Alex – Intervention in School and Clinic, 2020
Intervention dosage is an often-overlooked aspect of implementation fidelity. Tracking intervention dosage is critical for ensuring students with disabilities were present for and received the intervention for as many minutes as intended. Used in tandem with student performance data, intervention dosage can provide a clearer picture of…
Descriptors: Intervention, Program Implementation, Fidelity, Students with Disabilities
Shyjka, Andria – University of Chicago Consortium on School Research, 2022
Despite the considerable resources dedicated to teacher evaluation reform, there is currently little evidence on the mechanisms by which evaluation translates into improvements in teachers' instructional practice. To address this need, this study was a two-pronged approach to examine the use of evaluation data for improvement within the Chicago…
Descriptors: Teacher Evaluation, Instructional Improvement, Public School Teachers, Program Implementation
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Foster, Carly; Francis, Peter – Assessment & Evaluation in Higher Education, 2020
This is a systematic review conducted of primary research literature published between 2007 and 2018 on the deployment and effectiveness of data analytics in higher education to improve student outcomes. We took a methodological approach to searching databases; appraising and synthesising results against predefined criteria. We reviewed research…
Descriptors: Literature Reviews, Program Implementation, Program Effectiveness, Learning Analytics
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Gleason, Philip; Crissey, Sarah; Chojnacki, Greg; Zukiewicz, Marykate; Silva, Tim; Costelloe, Sarah; O'Reilly, Fran – National Center for Education Evaluation and Regional Assistance, 2019
Most districts help teachers use data to improve student learning, often supporting this effort with federal funds. But many teachers feel unprepared to use student data to inform their instruction -- referred to as data-driven instruction (DDI) -- and there is little evidence of whether it improves student achievement. This report assesses an…
Descriptors: Data Use, Instruction, Academic Achievement, Professional Development
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Gleason, Philip; Crissey, Sarah; Chojnacki, Greg; Zukiewicz, Marykate; Silva, Tim; Costelloe, Sarah; O'Reilly, Fran – National Center for Education Evaluation and Regional Assistance, 2019
As part of their improvement efforts, schools have increasingly turned to the use of data to improve instruction. This is due in part to the increasing availability of student assessment data throughout the school year. The strategy of using assessment and other data to inform teachers' instruction is often called data-driven instruction (DDI).…
Descriptors: Data Use, Instruction, Academic Achievement, Professional Development
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Gleason, Philip; Crissey, Sarah; Chojnacki, Greg; Zukiewicz, Marykate; Silva, Tim; Costelloe, Sarah; O'Reilly, Fran – National Center for Education Evaluation and Regional Assistance, 2019
The three appendices in this publication accompany the full report, "Evaluation of Support for Using Student Data to Inform Teachers' Instruction. NCEE 2019-4008" (ED598641). They include: (1) Supplemental Information on Study Design, Data, and Methods; (2) Supplemental Findings on Implementation of the Data-Driven Instruction…
Descriptors: Data Use, Instruction, Academic Achievement, Professional Development
Eber, Lucille; Barrett, Susan; Scheel, Nicholas; Flammini, Ami; Pohlman, Katie – Center on Positive Behavioral Interventions and Supports, 2020
As educators have become increasingly aware of the impact of trauma on the school success of children and youth, they have been investing in professional development about how to address childhood trauma in schools. However, evaluation to support evidence of impact are lacking. This Guide describes how to integrate trauma-informed approaches into…
Descriptors: Trauma, Positive Behavior Supports, Intervention, Social Development
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Rehrey, George; Shepard, Linda; Hostetter, Carol; Reynolds, Amberly; Groth, Dennis – Journal of Learning Analytics, 2019
To successfully implement Learning Analytics (LA) systems within higher education, we need to engage administrators, faculty, and staff alike. This paper is by and primarily for practitioners. We suggest implementation strategies that consider the human factor in adopting new technologies by analyzing the viability of our Learning Analytics…
Descriptors: Learning Analytics, Change Agents, School Culture, Technology Integration
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