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Ting Ye; Ted Westling; Lindsay Page; Luke Keele – Grantee Submission, 2024
The clustered observational study (COS) design is the observational study counterpart to the clustered randomized trial. In a COS, a treatment is assigned to intact groups, and all units within the group are exposed to the treatment. However, the treatment is non-randomly assigned. COSs are common in both education and health services research. In…
Descriptors: Nonparametric Statistics, Identification, Causal Models, Multivariate Analysis
Batley, Prathiba Natesan; Hedges, Larry V. – Grantee Submission, 2021
Although statistical practices to evaluate intervention effects in SCEDs have gained prominence in the recent times, models are yet to incorporate and investigate all their analytic complexities. Most of these statistical models incorporate slopes and autocorrelations both of which contribute to trend in the data. The question that arises is…
Descriptors: Bayesian Statistics, Models, Accuracy, Computation

Toby J. Park-Gaghan; Christine Mokher; Taylor Burtch; Morgan Danyi – Grantee Submission, 2024
Florida State University researchers spent the last year collecting and analyzing data on corequisite developmental education (DE) models in Texas as part of a four-year study that received a $1.5M grant from the U.S. Department of Education's Institute of Education Sciences. This study was proposed in response to Texas House Bill (HB) 2223, which…
Descriptors: Developmental Studies Programs, Remedial Instruction, Required Courses, Models

Kenneth A. Frank; Qinyun Lin; Spiro J. Maroulis – Grantee Submission, 2024
In the complex world of educational policy, causal inferences will be debated. As we review non-experimental designs in educational policy, we focus on how to clarify and focus the terms of debate. We begin by presenting the potential outcomes/counterfactual framework and then describe approximations to the counterfactual generated from the…
Descriptors: Causal Models, Statistical Inference, Observation, Educational Policy
Declercq, Lies; Jamshidi, Laleh; Fernández-Castilla, Belen; Moeyaert, Mariola; Natasha, Beretvas S.; Ferron, John M.; Van den Noortgate, Wim – Grantee Submission, 2020
To conduct a multilevel meta-analysis of multiple single-case experimental design (SCED) studies, the individual participant data (IPD) can be analyzed in one or two stages. In the one-stage approach, a multilevel model is estimated based on the raw data. In the two-stage approach, an effect size is calculated for each participant and these effect…
Descriptors: Research Design, Data Analysis, Effect Size, Models
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Li, Tao; McClelland, Megan M.; Tominey, Shauna L.; Tracy, Alexis – Grantee Submission, 2021
Early childhood interventions can improve self-regulation, but there are few economic evaluations of such interventions. This study analyzed the cost-effectiveness of an early childhood self-regulation intervention ("Red Light Purple Light!"; RLPL), comparing three different models of implementation across stages of intervention…
Descriptors: Cost Effectiveness, Early Intervention, Early Childhood Education, Self Control
Donald J. Peurach; Maxwell M. Yurkofsky; Naomi L. Blaushild; Daniella Hall Sutherland; James P. Spillane – Grantee Submission, 2020
Public school districts have been operating under a decade's long press to move beyond functioning as engines of access-oriented mass public schooling to functioning as instructionally focused education systems pursuing educational excellence and equity. This press has researchers developing analytic frameworks useful for examining different ways…
Descriptors: Public Schools, School Districts, Educational Research, Research Design

Georgia Heyward – Grantee Submission, 2024
The purpose of this study was to understand a school-based mentoring model that uses school staff as adult mentors. This study presents existing literature on school-based mentoring models along with a case study of one teen parent high school. The report also includes step-by-step guidance for implementation. At the case study school, all school…
Descriptors: Mentors, School Personnel, Staff Role, Adults
Christopher R. Cox; Matthew J. Cooper Borkenhagen; Mark S. Seidenberg – Grantee Submission, 2019
Learning to read English requires learning the complex statistical dependencies between orthography and phonology. Previous research has focused on how these statistics are learned in neural network models provided with as much training as needed. Children, however, are expected to acquire this knowledge in a few years of school with only limited…
Descriptors: Second Language Learning, English (Second Language), Reading Instruction, Orthographic Symbols
Elise T. Pas; Christine Crimmins; Mary Kay Connerton; Ryan Voegtlin; Jessika Bottiani; Katrina Debnam; Kathryn B. Rockefeller; Megan Lewis; Susan Love; Catherine P. Bradshaw – Grantee Submission, 2024
Educators have embraced the promotion of social emotional development, student well-being, and mental health as essential educational objectives to promote academic readiness and growth. To address known research-to-practice gaps and limited availability of evidence-based, universal high school programs, we took a community-based participatory…
Descriptors: College School Cooperation, Wellness, Health Promotion, Instructional Design
Natesan, Prathiba; Hedges, Larry V. – Grantee Submission, 2016
Although immediacy is one of the necessary criteria to show strong evidence of a causal relation in SCDs, no inferential statistical tool is currently used to demonstrate it. We propose a Bayesian unknown change-point model to investigate and quantify immediacy in SCD analysis. Unlike visual analysis that considers only 3-5 observations in…
Descriptors: Bayesian Statistics, Statistical Inference, Research Design, Models
Stone, Melissa L.; Kent, Kevin M.; Roscoe, Rod D.; Corley, Kathleen M.; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2017
This chapter explores three broad principles of user-centered design methodologies: participatory design, iteration, and usability considerations. The authors highlight the importance of considering teachers as a prominent type of ITS end user, by describing the barriers teachers face as users and their role in educational technology design. To…
Descriptors: Intelligent Tutoring Systems, Design, Usability, Barriers
Chounta, Irene-Angelica; Albacete, Patricia; Jordan, Pamela; Katz, Sandra; McLaren, Bruce M. – Grantee Submission, 2017
In this paper, we propose a computational approach to model the Zone of Proximal Development (ZPD) using predicted probabilities of correctness and engaging students in reflective dialogue. To that end, we employ a predictive model that uses a linear function of a variety of parameters, including difficulty and student knowledge and we analyze the…
Descriptors: Learning Theories, Sociocultural Patterns, Intelligent Tutoring Systems, Physics
Chounta, Irene-Angelica; McLaren, Bruce M.; Albacete, Patricia; Jordan, Pamela; Katz, Sandra – Grantee Submission, 2017
In this paper, we propose a computational approach to modeling the Zone of Proximal Development of students who learn using a natural language tutoring system for physics. We employ a student model that predicts students' performance based on their prior knowledge and their activity when using a dialogue tutor to practice with conceptual,…
Descriptors: Learning Theories, Sociocultural Patterns, Intelligent Tutoring Systems, Physics
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