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Ke-Hai Yuan; Yong Wen; Jiashan Tang – Grantee Submission, 2022
Structural equation modeling (SEM) and path analysis using composite-scores are distinct classes of methods for modeling the relationship of theoretical constructs. The two classes of methods are integrated in the partial-least-squares approach to structural equation modeling (PLS-SEM), which systematically generates weighted composites and uses…
Descriptors: Statistical Analysis, Weighted Scores, Least Squares Statistics, Structural Equation Models
Vincent Aleven; Jori Blankestijn; LuEttaMae Lawrence; Tomohiro Nagashima; Niels Taatgen – Grantee Submission, 2022
Past research has yielded ample knowledge regarding the design of analytics-based tools for teachers and has found beneficial effects of several tools on teaching and learning. Yet there is relatively little knowledge regarding the design of tools that support teachers when a class of students uses AI-based tutoring software for self-paced…
Descriptors: Educational Technology, Artificial Intelligence, Problem Solving, Intelligent Tutoring Systems
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Nicole Patton Terry; Coretta Doss; Monique Harris; Nancy Marencin – Grantee Submission, 2022
The misrepresentation of certain student groups in special education is a multifaceted issue reflecting broader educational inequities. This article explores the complex dynamics of disproportionality, focusing on differences by race group and disability category in identification and placement for special education services. It examines the…
Descriptors: Disproportionate Representation, Special Education, Racial Differences, Students with Disabilities
Jing Ouyang; Gongjun Xu – Grantee Submission, 2022
Latent class models with covariates are widely used for psychological, social, and educational research. Yet the fundamental identifiability issue of these models has not been fully addressed. Among the previous research on the identifiability of latent class models with covariates, Huang and Bandeen-Roche (Psychometrika 69:5-32, 2004) studied the…
Descriptors: Item Response Theory, Models, Identification, Psychological Studies
Benjamin Lu; Eli Ben-Michael; Avi Feller; Luke Miratrix – Grantee Submission, 2022
In multisite trials, learning about treatment effect variation across sites is critical for understanding where and for whom a program works. Unadjusted comparisons, however, capture "compositional" differences in the distributions of unit-level features as well as "contextual" differences in site-level features, including…
Descriptors: Statistical Analysis, Statistical Distributions, Program Implementation, Comparative Analysis
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Marshall, James – Grantee Submission, 2021
When schools swiftly transitioned to virtual learning, program partners across this established out-of-doors environmental education project were challenged to rethink and retool the learning experiences from place-based programs to virtual learning, as most Project-supported programs were delivered outside of the traditional classroom. Meeting…
Descriptors: Urban Areas, Wildlife, Ecology, Program Effectiveness
McNamara, Danielle S. – Grantee Submission, 2021
An overarching motivation driving my research has been to further our theoretical understanding of how readers successfully comprehend challenging text. This article describes the theoretical origins of this research program and my quest to understand comprehension processes through the use of technology. Coh-Metrix was developed to measure, and…
Descriptors: Educational Research, Reading Comprehension, Difficulty Level, Educational Technology
Hemelt, Steven W.; Stange, Kevin M.; Furquim, Fernando; Simon, Andrew; Sawyer, John E. – Grantee Submission, 2021
This paper establishes five new facts about instructional costs in higher education using department-level data from a broad range of institutions. Costs vary widely across fields, ranging from electrical engineering (90% higher than English) to math (25% lower). This pattern is largely explained by differences in class size and faculty pay. Some…
Descriptors: Higher Education, Costs, Intellectual Disciplines, Class Size
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Jones, Curtis J.; Li, Dongmei – Grantee Submission, 2021
Future Forward is an early primary literacy program that pairs one-on-one tutoring with family engagement. Future Forward's approach is informed by both systems theory and a school-family-community partnership model. Future Forward understands that schools are not solely responsible for developing student literacy. Instead of viewing families and…
Descriptors: Literacy Education, Reading Programs, Reading Instruction, Tutorial Programs
Levine, Susan C.; Pantoja, Nancy – Grantee Submission, 2021
The relation of various math attitudes to math achievement has been extensively studied in adolescents and adults. Recently, researchers have begun to examine the math attitude-math achievement relation in young children. We review theories and research on four attitudes relevant to early math learning--math anxiety, math self-concept, mindset,…
Descriptors: Gender Differences, Mathematics Education, Student Attitudes, Socialization
Pavlik, Philip I., Jr.; Eglington, Luke G.; Zhang, Liang – Grantee Submission, 2021
We describe a data mining pipeline to convert data from educational systems into knowledge component (KC) models. In contrast to other approaches, our approach employs and compares multiple model search methodologies (e.g., sparse factor analysis, covariance clustering) within a single pipeline. In this preliminary work, we describe our approach's…
Descriptors: Information Retrieval, Knowledge Management, Models, Research Methodology
Sousa, Lorie A. – Grantee Submission, 2021
California State University, San Bernardino (CSUSB) and the Riverside County Office of Education (RCOE) were awarded an Investing in Innovation (i3) Development grant in 2015 to investigate the impact of an early education mathematics program on English Learner students at two rural school districts in Riverside, CA. Teaching English Learners…
Descriptors: Program Evaluation, Mathematics Instruction, English Language Learners, Elementary School Students
Zucker, Tricia A.; Cabell, Sonia Q.; Pico, Danielle L. – Grantee Submission, 2021
Developing young children's vocabulary is essential for later reading success; thus, early childhood classrooms require a comprehensive vocabulary approach that teaches academic vocabulary. Yet even providing young children with child-friendly definitions of sophisticated words can be a challenge. First, the authors outline the components of a…
Descriptors: Vocabulary Development, Early Childhood Education, Definitions, Academic Language
Clemens, Nathan H.; Fuchs, Douglas – Grantee Submission, 2021
Many seem to believe that researcher-made tests are unnecessary, if not inappropriate, for evaluating reading comprehension interventions. We suggest that this view reflects a zeitgeist in which researcher-made (proximal) tests that align with the researchers' interventions are closely scrutinized and often devalued, whereas commercially developed…
Descriptors: Reading Tests, Reading Comprehension, Program Evaluation, Reading Programs
Becker, Stephen P.; Barkley, Russell A. – Grantee Submission, 2021
In this editorial perspective we consider the potential conceptual and empirical overlap between the research on mind wandering, particularly in its pathological extreme, and that on sluggish cognitive tempo (SCT) as it has diverged from research on attention-deficit/hyperactivity disorder (ADHD). The more advanced state of research findings on…
Descriptors: Conceptual Tempo, Attention Deficit Hyperactivity Disorder, Attention, Phenomenology
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