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Barrett, Sharon Kebschull – Public Impact, 2023
When Dr. Tina Lupton and Dr. Timisha Barnes-Jones joined the Winston-Salem/Forsyth County Schools, Opportunity Culture implementation was happening in the midst of COVID. Lupton, the executive director of professional learning, and Barnes-Jones, the area superintendent for a network of 15 transformation schools, used their experience in other…
Descriptors: Elementary Schools, Data Use, Achievement Gains, Program Effectiveness
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Müller, Eve; Wood, Caitlin; Cannon, Lynn; Childress, Deb – Focus on Autism and Other Developmental Disabilities, 2023
This pilot study examined (a) the perceived barriers to creating high-quality social and emotional learning (SEL) IEP goals for autistic students without intellectual disabilities, and (b) the impact of using a data-driven SEL IEP goal builder--a key component of the Ivymount Social Cognition Instructional Package (IvySCIP)--on the quality of SEL…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Barriers, Social Emotional Learning
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Nuttaporn Lawthong; Warunee Lapanachokdee; Vorachet Saejea; Purin Thepsathit – International Journal of Educational Management, 2025
Purpose: Drawing from the equitable education fund (EEF) launching 6Qs innovation in the teacher school quality program (TSQP) for small and medium schools, this research aims to analyze the effect size of the ordinary national educational test (O-NET) scores between TSQP schools that implement 6Qs innovation and non-TSQP schools and explain the…
Descriptors: Educational Innovation, Academic Achievement, Foreign Countries, Effect Size
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Jechun An; Emma Shanahan; Seohyeon Choi; Kristen L. McMaster – Journal of Learning Disabilities, 2025
The purpose of this logistic regression study was to identify predictors of teacher-reported sustained use of data-based instruction (DBI) during the COVID-19 pandemic and assess the extent to which the identified predictors explained teachers' sustained use after completing programmatic support for intensive early writing instruction. We surveyed…
Descriptors: Predictor Variables, Faculty Development, Teaching Methods, COVID-19
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Dogan, Emine; Demirbolat, Ayse Ottekin – International Journal of Curriculum and Instruction, 2021
In this study, it was aimed to develop a Likert-type scale that will allow to measure the effectiveness of data-driven decision-making in schools in a valid and reliable way. The study group of the research consists of 179 school administrators working in public primary, secondary and high schools in Kahramanmaras province in the 2019-2020…
Descriptors: Data Use, Decision Making, Program Effectiveness, Test Construction
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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. One hundred and two…
Descriptors: Data Use, Instruction, Academic Achievement, Professional Development
Concannon, Jayna R.; Connolly, Katherine; Chafouleas, Sandra M.; Briesch, Amy M. – Communique, 2020
Approaches to identify and support student social, emotional, and behavioral (SEB) needs are necessary to the provision of school-based prevention and intervention services. Limited information exists, however, regarding the current use of SEB practices such as screening in schools. The purpose of The National Exploration of Emotional/Behavioral…
Descriptors: Student Needs, School Psychologists, Elementary Schools, Secondary Schools
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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
Education Scotland, 2020
Through our national thematic reports HM Inspectors of Education share their professional view on particular aspects of education. This report focuses on sharing the key features which, when taken together, make the greatest difference to using assessment effectively to improve learning and teaching and in turn, outcomes for children and young…
Descriptors: Foreign Countries, Educational Assessment, General Education, Educational Practices
Muir, Tracey – Mathematics Education Research Group of Australasia, 2021
National testing and reform agendas, with their focus on school improvement, has led to increased collection and scrutiny of student data. The analysis of these data usually occurs at a school level, often by school leaders. What is less common is the opportunity for students to scrutinise their individual data and take ownership over the results…
Descriptors: Mathematics Instruction, Mathematics Achievement, Foreign Countries, Computation
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Keuning, Trynke; van Geel, Marieke; Visscher, Adrie; Fox, Jean-Paul – Journal of Educational Measurement, 2019
Data-based decision making (DBDM) is presumed to improve student performance in elementary schools in all subjects. The majority of studies in which DBDM effects have been evaluated have focused on mathematics. A hierarchical multiple single-subject design was used to measure effects of a 2-year training, in which entire school teams learned how…
Descriptors: Data, Decision Making, Elementary School Students, Mathematics Instruction
Milton, Jessica R. – ProQuest LLC, 2019
Low-income urban schools that have chronic student underachievement have championed instructional coaching as an effective education reform strategy. Studies have shown that instructional coaching can be a promising approach for teacher professional development aimed at building educators' capacity to use student data to inform literacy…
Descriptors: Coaching (Performance), Teacher Attitudes, Literacy, Data Use
Elaine Lin Wang; Heather L. Schwartz; Monica Mean; Laura Stelitano; Benjamin K. Master – RAND Corporation, 2019
Since 2004, the National Institute for School Leadership (NISL) has offered the Executive Development Program (EDP), a leadership program for sitting school principals that is typically delivered in two-day workshops once per month over 12 months. From its inception through 2018, 15,000 principals across 23 states have participated in the EDP.…
Descriptors: Professional Development, Management Development, Principals, Program Effectiveness
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