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…

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…

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…

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).…

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…

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,…

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…

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…

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…

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…

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…

The purpose of this study was to observe and measure the impact of a professional development course on community college participants' self-reported levels of data literacy and equity-mindedness, to ultimately improve upon institutional policies and procedures to help those involved use data in more equity-oriented ways. We used a mixed methods…

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…

Background: The field of collaborative biostatistics plays a critical role in translating scientific discoveries into practical applications by providing sound statistical analysis, ensuring data integrity, and facilitating interdisciplinary collaboration in translational science and decision-making in healthcare. The role of a collaborative…

This study aims at a rediscovery of the extent to which a Data Driven Learning (DDL)-based intervention could become instrumental in facilitating grammar instruction with a specific focus on English for Academic Purposes (EAP) and learner autonomy in a preparatory program comprised mostly of Turkish-L1 learners. It provides a context-restricted…