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Showing 1 to 15 of 51 results Save | Export
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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
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
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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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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
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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
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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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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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Wentworth, Laura; Nagaoka, Jenny – Teachers College Record, 2020
Background/Context: The passage of the No Child Left Behind Act in 2002 and the Every Student Succeeds Act in 2015 spurred changes in the way educators use data. On the one hand, the policies inspired educators' awareness of large gaps in achievement between subgroups based on gender, race, and socioeconomic status. On the other hand, the policies…
Descriptors: Dropout Prevention, Educational Innovation, Program Effectiveness, Data Use
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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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Johnson, Ashleigh M.; Kroshus, Emily; Hafferty, Kiana R.; Senturia, Kirsten; Garrett, Kimberly A.; Tandon, Pooja S. – American Journal of Health Education, 2023
Background: Most United States schools include school-based physical fitness testing (SB-PFT), yet little evidence shows how it is implemented, perceived, and used. Purpose: 1) Explore stakeholders' experiences with SB-PFT; 2) identify: challenges in analyzing fitness data, ways schools can use fitness data, and predictors of meeting fitness…
Descriptors: Physical Fitness, Testing, Middle School Students, Physical Activity Level
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McIntosh, Kent – International Journal of Developmental Disabilities, 2023
Positive behaviour support and schoolwide positive behavioural interventions and supports (PBIS) emerged in response to the misuse of behavioural theory and ableism in educational systems. Yet even with these advances, inequitable outcomes based on ability and race persist. The purpose of this article is to describe an equity-centred schoolwide…
Descriptors: Positive Behavior Supports, Social Justice, Civil Rights, Social Bias
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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
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