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Annie S. Ditta; Adriana Signorini; Mathew Williams; Eric R. Johns; Andrea Aebersold; James Zimmerman; Samantha Eastman; Brian Sato; Petra Kranzfelder – To Improve the Academy, 2025
Structured classroom observation protocols provide instructors with data about their teaching practices, but instructors may not meaningfully engage with those data without guidance. To facilitate instructor reflection, educational developers from the Centers for Teaching and Learning (CTLs) and educational researchers from STEM departments across…
Descriptors: Faculty Development, Data Use, Reflection, STEM Education
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
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
Meka N. McCammon; Katie Wolfe; Ruiqin Gao; Angela Starrett – Remedial and Special Education, 2025
Data-based decision-making, which involves evaluating students' progress and making instructional decisions, is an integral competency for preservice teachers. Several studies have found that visual aids, such as decision-making models, may be an effective way to train preservice teachers to make instructional decisions. The purpose of this study…
Descriptors: Data Use, Decision Making, Preservice Teacher Education, Teacher Competencies
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
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
Kristen L. McMaster; Erica S. Lembke; Emma Shanahan; Seohyeon Choi; Jechun An; Christopher Schatschneider; McKinzie D. Duesenberg-Marshall; Seyma Birinci; Elizabeth McCollom; Carol Garman; Kim Moore – Journal of Learning Disabilities, 2025
In a multiyear, multisite, randomized control trial, we examined the effects of comprehensive professional development designed to support teachers' data-based instruction (DBI) for students with intensive early writing needs. Teachers (N = 154; primarily special educators or intervention specialists) were assigned randomly to a treatment group (n…
Descriptors: Data Use, Individualized Instruction, Writing Instruction, Special Needs Students
Rachel Schechter; Colin Ackerman; Krystina Raymond – Online Submission, 2025
Many educators struggle to deliver effective early literacy instruction that is both research-based and responsive to diverse learning needs. IMSE's Orton-Gillingham Plus (OG+) addresses this gap by providing a Structured Literacy program grounded in explicit, systematic, and cumulative instruction. Designed for K-2 foundational literacy and…
Descriptors: Literacy Education, Phonics, Feedback (Response), Direct Instruction
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
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
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
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
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
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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