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Christian T. Doabler; Ben Clarke; Jessica E. Turtura; Marah Sutherland; Jenna A. Gersib; Taylor Lesner; Madison Cook; Georgia L. Kimmel; Keith Smolkowski; Derek Kosty – Grantee Submission, 2023
Conceptual replications are part and parcel of education science. Methodologically rigorous conceptual replication studies permit researchers to test and strengthen the generalizability of a study's initial findings. The current conceptual replication sought to replicate the efficacy of a small-group, first-grade mathematics intervention with 240…
Descriptors: Number Concepts, Mathematics Instruction, Grade 1, Elementary School Students
Tasia Brafford; Ben Clarke; Russell M. Gersten; Keith Smolkowski; Marah Sutherland; Joe Dimino; David Fainstein – Grantee Submission, 2023
We investigated the technical characteristics of a brief early numeracy screening battery for both English learners (ELs) and English proficient students (EPs). Results indicated there were differences in performance of ELs and EPs. Further, we found reasonable overall accuracy of the screener predicting student outcomes. Similar overall accuracy…
Descriptors: Screening Tests, Numeracy, English Language Learners, Prediction
Nina K. Simms; Bryan J. Matlen; Benjamin D. Jee; Dedre Gentner – Grantee Submission, 2023
Visual comparisons are pervasive in science, technology, engineering, and mathematics (STEM) instruction and practice. In previous work, adults' visual comparisons of simple stimuli were faster and more accurate when the layout of a display facilitated alignment of corresponding elements--the "spatial alignment principle" (Matlen et al.,…
Descriptors: Spatial Ability, Biological Sciences, Visual Aids, Stimuli
Zhanxia Yang; Patricia Moore Shaffer; Courtney Hagan; Parastu Dubash; Marina Bers – Grantee Submission, 2023
The aim of this study was to explore how the Coding as Another Language using ScratchJr (CAL-ScratchJr) curriculum, developed by Boston College's DevTech Research Group utilizing the ScratchJr app, impacted second grade students' computational thinking, coding skills, and reading comprehension. To accomplish this, the research team randomly…
Descriptors: Coding, Programming Languages, Computer Science Education, School Districts
Lauren Berkovits; Jan Blacher; Abbey Eisenhower; Stuart Daniel – Grantee Submission, 2023
Purpose: Comparative data of autism-sensitive standardized measures of emotion regulation and lability, describing percentage change over time for populations of young autistic children, are currently publicly unavailable. We propose publication of such data as a support for future therapeutic intervention studies. Methods: We generate and present…
Descriptors: Emotional Response, Check Lists, Autism Spectrum Disorders, Comparative Analysis
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Brian Freeman; Supriya Tamang; Jesse Wood; Liz M. B. Yadav – Grantee Submission, 2023
The Intercultural Development Research Association (IDRA) was awarded an Education Innovation and Research (EIR) Early Phase grant from the U.S. Department of Education in 2017 to develop, implement, and test a promising program to improve student achievement and educational progress for high-need students: Reenergizing Leadership to Achieve…
Descriptors: Grants, Educational Innovation, Academic Achievement, Program Development
Reese Butterfuss; Kathryn S. McCarthy; Ellen Orcutt; Panayiota Kendeou; Danielle S. McNamara – Grantee Submission, 2023
Readers often struggle to identify the main ideas in expository texts. Existing research and instruction provide some guidance on how to encourage readers to identify main ideas. However, there is substantial variability in how main ideas are operationalized and how readers are prompted to identify main ideas. This variability hinders…
Descriptors: Reading Processes, Reading Comprehension, Reading Instruction, Best Practices
Amy Adair; Michael Sao Pedro; Janice Gobert; Jessica A. Owens – Grantee Submission, 2023
Developing models and using mathematics are two key practices in internationally recognized science education standards such as the Next Generation Science Standards (NGSS, 2013). In this paper, we used a virtual performance-based formative assessment to capture students' competencies at both "developing" and "evaluating"…
Descriptors: Student Evaluation, Mathematical Models, Competence, Scientific Research
William E. Even; Takashi Yamashita; Phyllis A. Cummins – Grantee Submission, 2023
Using data from the Program for the International Assessment of Adult Competencies, this paper compares the earnings premium and employment share of jobs in Science, Technology, Engineering and Mathematics (STEM) across 11 member countries of the Organisation for Economic Co-operation and Development. The results reveal that the STEM wage premium…
Descriptors: STEM Careers, Wages, Comparative Analysis, Educational Attainment
Noelle M. Suntheimer; Sharon Wolf – Grantee Submission, 2023
This study investigated whether transitory and persistent poverty spells were associated with children's learning (literacy and numeracy scores) and executive function outcomes in Ghana. Children resided in the Greater Accra region (N = 2,154; 49% female; M[subscript age] = 5.2 years at wave-1) and were followed at four-time points over three…
Descriptors: Poverty, Correlation, Executive Function, Learning Processes
Ethan Prihar; Morgan Lee; Mia Hopman; Adam Tauman Kalai; Sofia Vempala; Allison Wang; Gabriel Wickline; Aly Murray; Neil Heffernan – Grantee Submission, 2023
Large language models have recently been able to perform well in a wide variety of circumstances. In this work, we explore the possibility of large language models, specifically GPT-3, to write explanations for middle-school mathematics problems, with the goal of eventually using this process to rapidly generate explanations for the mathematics…
Descriptors: Mathematics Instruction, Teaching Methods, Artificial Intelligence, Middle School Students
Jennifer Hill; George Perrett; Vincent Dorie – Grantee Submission, 2023
Estimation of causal effects requires making comparisons across groups of observations exposed and not exposed to a a treatment or cause (intervention, program, drug, etc). To interpret differences between groups causally we need to ensure that they have been constructed in such a way that the comparisons are "fair." This can be…
Descriptors: Causal Models, Statistical Inference, Artificial Intelligence, Data Analysis
Taboada Barber, Ana; Klauda, Susan Lutz; Wang, Weimeng; Cartwright, Kelly B.; Cutting, Laurie E. – Grantee Submission, 2022
This study centered on Dual Language Learners (DLLs) with specific reading comprehension deficits (S-RCD), that is, with poor reading comprehension despite solid word identification skills. The participants were 209 students in Grades 2-4, including both DLLs and English Monolinguals (EMs) with and without S-RCD. Mean comparisons indicated that…
Descriptors: Bilingualism, Reading Comprehension, Reading Difficulties, Comparative Analysis
Herrmann-Abell, Cari F.; Hardcastle, Joseph; DeBoer, George E. – Grantee Submission, 2022
As implementation of the "Next Generation Science Standards" moves forward, there is a need for new assessments that can measure students' integrated three-dimensional science learning. The National Research Council has suggested that these assessments be multicomponent tasks that utilize a combination of item formats including…
Descriptors: Multiple Choice Tests, Conditioning, Test Items, Item Response Theory

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