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Chris Wilcoxen; Riley Newman; Morgan Wulff – Educational Process: International Journal, 2025
Background/Purpose: This study examines the use of the Interactive Growth Guide, a structured coaching tool, within a year-long high-intensity induction program for beginning teachers. Specifically, the study investigates how the Interactive Growth Guide was integrated into the mentoring relationship between a beginning teacher and her coach and…
Descriptors: Coaching (Performance), Mentors, Beginning Teachers, Beginning Teacher Induction
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Anderson, Billie; Marx, Dea; Cox, Kelline S.; McNeley, Kim; Filion, Diane L. – Assessment Update, 2023
The University of Missouri Kansas City (UMKC) is an urban research university with a special emphasis on fostering diversity. In 2021, the Center for Advancing Faculty Excellence created a Faculty Fellows program to develop comprehensive resources and support in four areas: teaching and learning, service and engagement, research and creativity,…
Descriptors: Data Use, Outcomes of Education, Program Effectiveness, Faculty Development
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
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
Brooks, Maneka Deanna; Frankel, Katherine K.; Learned, Julie E. – Phi Delta Kappan, 2022
Stand-alone reading intervention courses, or reading classes, are designed to facilitate the literacy development of adolescents who have been deemed "struggling" readers. However, the existence of such courses does not mean that these goals are realized. Decades of qualitative research on youth perspectives and experiences have…
Descriptors: Reading Improvement, Intervention, Program Effectiveness, Educational Policy
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Liu, Fang; Zhao, Liang; Zhao, Jiayi; Dai, Qin; Fan, Chunlong; Shen, Jun – IEEE Transactions on Learning Technologies, 2022
Educational process mining is now a promising method to provide decision-support information for the teaching-learning process via finding useful educational guidance from the event logs recorded in the learning management system. Existing studies mainly focus on mining students' problem-solving skills or behavior patterns and intervening in…
Descriptors: Data Use, Learning Management Systems, Problem Solving, Learning Processes
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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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
Colorado Department of Higher Education, 2023
Colorado has led the nation in supporting the success of all Coloradans, enacting bold policies, and continuing to build a Colorado for all. These efforts have all been informed by robust stakeholder engagement paired with data analysis. Various initiatives over the years have improved the state's ability to use data to inform these goals. With…
Descriptors: Data Analysis, Decision Making, Data Use, Career Pathways
Beverly E. Puntin – ProQuest LLC, 2022
This study aimed to investigate the influences instructional coaching had on middle school math teachers. Accountability demands have impacted teaching and learning, and the push to use high stakes tests to measure teacher quality and effectiveness has limited teacher autonomy, agency, and efficacy. Teachers need professional learning that…
Descriptors: Coaching (Performance), Mathematics Teachers, Middle School Teachers, Faculty Development
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Carrianne Scheib; Catherine Snyder; Marjori Krebs – Issues in Teacher Education, 2023
This manuscript aims to answer the research question: What data are collected by teacher residency programs and a network of teacher residency programs, and how and why do faculty and NCTR staff use this data to advance both individual programs and the teacher residency model nationally? This paper explores how individual teacher residency…
Descriptors: Teacher Interns, Data Use, Models, Data Collection
Hannah Lantos; Zakia Redd; Jessica Warren; Michael Bradley; Sham Habteselasse – Child Trends, 2024
Out-of-school-time (OST) programs and their funders rely on sound data to make decisions about everything from professional development and student recruitment to the selection of activities to offer students. Programs operate at a range of times (before and after school, weekends, summer) and in a variety of locations (e.g., schools,…
Descriptors: Child Development, Program Effectiveness, Outcome Measures, After School Programs
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Lindsay Ruhter; Meagan Karvonen – Remedial and Special Education, 2024
There is evidence that data-based decision-making (DBDM) can improve outcomes for a wide range of students. However, less is known about how special education teachers are trained to use data to inform instruction that targets academic progress for students with extensive support needs (ESN). The purpose of this systematic literature review was to…
Descriptors: Student Needs, Decision Making, Data Use, Outcomes of Education
Samantha Kelly – ProQuest LLC, 2024
School-Wide Positive Behavioral Interventions and Supports (SWPBIS) are an integral part of schools across the United States. When implementing SWPBIS, academic achievement, emotional regulation, prosocial behavior increases while behavioral problems, bullying, exclusionary discipline teacher stress and teacher burnout decrease. Despite the…
Descriptors: Positive Behavior Supports, Surveys, Intervention, Teamwork
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van Zyl, André; Dampier, Graham; Ngwenya, Nkosini – Journal of Student Affairs in Africa, 2020
Low levels of student success in South Africa have persisted as a seemingly intractable problem. There have been some gains in student success over time, but with a participation rate of approximately 18%, the current success rates still represent massive financial and human losses to the country. Internationally there is a trend to move towards…
Descriptors: Foreign Countries, Academic Achievement, College Students, Intervention
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