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Song, Mengli; Garet, Michael S.; Yang, Rui; Atchison, Drew – Grantee Submission, 2022
This study was designed to assess the effects of states' adoption of more rigorous standards as part of the current wave of standards-based reform on student achievement using comparative interrupted time series analyses based on state-level NAEP data from 1990 to 2017. Results show that the effects of adopting more rigorous standards on students'…
Descriptors: Academic Achievement, Educational Change, Academic Standards, National Competency Tests
Mariola Moeyaert; Marzieh Dehghan-Chaleshtori – Grantee Submission, 2022
In 2020, the What Works Clearinghouse (WWC) for single-case experimental design (SCED) studies released an updated version of their standards and procedures handbook (Version 4.1). Because of these updates, there is a need to understand the implications for the field in terms of quality rating of the design, and subsequent synthesis of evidence at…
Descriptors: Research Design, Research Methodology, Evaluation, Clearinghouses
Larry V. Hedges; William R. Shadish; Prathiba Natesan Batley – Grantee Submission, 2022
Currently the design standards for single case experimental designs (SCEDs) are based on validity considerations as prescribed by the What Works Clearinghouse. However, there is a need for design considerations such as power based on statistical analyses. We compute and derive power using computations for (AB)[superscript k] designs with multiple…
Descriptors: Statistical Analysis, Research Design, Computation, Case Studies
Nichols, T. Philip; Edgerton, Adam Kirk; Desimone, Laura M. – Grantee Submission, 2021
Purpose: As the federal government has retreated from taking a dominant role in encouraging implementation of common K-12 standards, states and districts have moved to fill this education policy vacuum. This study aims to understand how state and district leaders are navigating this new policy environment. Research Methods/Approach: Drawing upon…
Descriptors: State Standards, Academic Standards, Program Implementation, Educational Legislation
Pak, Katie; McLaughlin, Jillian; Saldivar Garcia, Erica; Desimone, Laura M. – Grantee Submission, 2021
The current context of standards-based reform has positioned regional service centers (RSCs), intermediary governmental agencies that support state policy implementation in local districts, as a critical source of professional development (PD). In this article, we ask how a governing body that districts often interact with during challenging…
Descriptors: Educational Change, Academic Standards, State Standards, Education Service Centers
Edgerton, Adam Kirk; McLaughlin, Jill; Desimone, Laura M. – Grantee Submission, 2020
Using state-representative surveys, we investigated how familiar Texas, Ohio, Kentucky, and Massachusetts principals are with their state's K-12 standards, as well as the strength of their policy environments, using a policy attribute theory. We found relatively high levels of buy-in toward the idea of standards but only a general familiarity with…
Descriptors: Elementary Secondary Education, Academic Standards, State Standards, Educational Policy
Jessica M. Namkung; Lynn S. Fuchs – Grantee Submission, 2024
In this article, we introduce the term "vulnerability to achievement stressors," which refers to differentially low achievement when shifts in the educational environment "stress" or threaten the capacity of an individual or a group of individuals to make academic progress. We also introduce a methodological framework for…
Descriptors: Students with Disabilities, Learning Disabilities, Student Needs, Stress Variables
Maria Goldshtein; Jaclyn Ocumpaugh; Andrew Potter; Rod D. Roscoe – Grantee Submission, 2024
As language technologies have become more sophisticated and prevalent, there have been increasing concerns about bias in natural language processing (NLP). Such work often focuses on the effects of bias instead of sources. In contrast, this paper discusses how normative language assumptions and ideologies influence a range of automated language…
Descriptors: Language Attitudes, Computational Linguistics, Computer Software, Natural Language Processing
Zewei Tian; Lief Esbenshade; Alex Liu; Shawon Sarkar; Zachary Zhang; Kevin He; Min Sun – Grantee Submission, 2025
The Colleague AI platform introduces a groundbreaking Rubric Generation function designed to streamline how educators create and use rubrics for instructional and assessment purposes. This feature uses artificial intelligence (AI) to produce standards-based rubrics tailored to course content for formative and summative evaluations. By automating…
Descriptors: Scoring Rubrics, Artificial Intelligence, Futures (of Society), Teaching Methods
Jennifer Sikov; Gregory A. Fabiano; Nicole K. Schatz; Brittany Merrill; Jennifer Piscitello; Devon Tower; Andrew R. Greiner; Elizabeth M. Gnagy; Amy Boeckel; Gwen Davis; Connor Rohan; Hayley Feibel; Jordan Moore; Erin Maloney; William E. Pelham Jr. – Grantee Submission, 2024
The impact of attention-deficit/hyperactivity (ADHD) disorder results in significant challenges in academic, behavioral, and social domains, necessitating targeted interventions. Although a substantial number of students with ADHD receive individualized education programs (IEPs), little is known about the most common accommodations and…
Descriptors: Attention Deficit Hyperactivity Disorder, Individualized Education Programs, Elementary School Students, Early Intervention
W. Jake Thompson – Grantee Submission, 2023
In educational and psychological research, we are often interested in discrete latent states of individuals responding to an assessment (e.g., proficiency or non-proficiency on educational standards, the presence or absence of a psychological disorder). Diagnostic classification models (DCMs; also called cognitive diagnostic models [CDMs]) are a…
Descriptors: Bayesian Statistics, Measurement, Psychometrics, Educational Research
Ke-Hai Yuan; Zhiyong Zhang – Grantee Submission, 2024
Data in social and behavioral sciences typically contain measurement errors and also do not have predefined metrics. Structural equation modeling (SEM) is commonly used to analyze such data. This article discuss issues in latent-variable modeling as compared to regression analysis with composite-scores. Via logical reasoning and analytical results…
Descriptors: Error of Measurement, Measurement Techniques, Social Science Research, Behavioral Science Research
Robert C. Schoen; Zachary Champagne; Ian Whitacre; Shelby McCrackin – Grantee Submission, 2021
Decades of research conducted worldwide has resulted in a taxonomy for word problems involving additive situations. Research published in the 1980s found that U.S. curricula only exposed first-grade students to a small subset of the easiest types of word problems. Widely adopted curriculum standards in the United States call for first-grade…
Descriptors: Word Problems (Mathematics), Elementary School Mathematics, Textbooks, Incidence
Karrie A. Shogren; Jesse R. Pace; Tyler A. Hicks; Sheida K. Raley; Kathleen Lynne Lane – Grantee Submission, 2023
This study used standards setting to establish cutscores for the fidelity of implementation of an evidence-based intervention, the Self-Determined Learning Model of Instruction, designed to enhance goal-directed actions in secondary students with and without disabilities. Cutscores were then applied to a fidelity data from a large, randomized…
Descriptors: Cutting Scores, Fidelity, Program Implementation, Evidence Based Practice
Mantzicopoulos, Panayota; French, Brian F.; Patrick, Helen – Grantee Submission, 2019
We examined associations between the quality of kindergarten teachers' mathematics instruction and their students' achievement and motivation in mathematics. Using a sample of 20 kindergarten teachers and their 285 students, we rated five video-recorded mathematics lessons per teacher throughout the spring semester with the Mathematical Quality of…
Descriptors: Mathematics Instruction, Kindergarten, Mathematics Achievement, Educational Quality

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