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Grantee Submission236
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Traci Shizu Kutaka; Pavel Chernyavskiy; Menglong Cong; Kayla McCreadie; Julie Sarama; Douglas Clements – Grantee Submission, 2024
Background: The sophistication of young children's arithmetic problem-solving strategies can be influenced through experience and instructional intervention. One potential pathway is through encountering story problems where the location of the unknown quantity varies. Aims: The goal of the present study is to characterize how arithmetic…
Descriptors: Arithmetic, Problem Solving, Mathematics Instruction, Kindergarten
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Caitlin Snyder; Clayton Cohn; Joyce Horn Fonteles; Gautam Biswas – Grantee Submission, 2025
Recently, there has been a surge in developing curricula and tools that integrate computing (C) into Science, Technology, Engineering, and Math (STEM) programs. These environments foster authentic problem-solving while facilitating students' concurrent learning of STEM+C content. In our study, we analyzed students' behaviors as they worked in…
Descriptors: Learning Analytics, Problem Solving, STEM Education, Computation
Takashi Yamashita; Donnette Narine; Runcie C. W. Chidebe; Jenna W. Kramer; Rita Karam; Phyllis A. Cummins; Thomas J. Smith – Grantee Submission, 2024
Background and Objective: Advancing automation technologies are replacing certain occupations such as those involving simple food preparation more than occupations such as those in STEM fields (e.g., engineering, health care). Older workers generally face higher job automation risks in part due to their lower levels of digital skills. A better…
Descriptors: Digital Literacy, STEM Careers, Automation, Older Workers
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Qiwei He; Qingzhou Shi; Elizabeth L. Tighe – Grantee Submission, 2023
Increased use of computer-based assessments has facilitated data collection processes that capture both response product data (i.e., correct and incorrect) and response process data (e.g., time-stamped action sequences). Evidence suggests a strong relationship between respondents' correct/incorrect responses and their problem-solving proficiency…
Descriptors: Artificial Intelligence, Problem Solving, Classification, Data Use
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Sam Choo; Reagan Mergen; Jechun An; Haoran Li; Xuejing Liu; Martin Odima; Linda J. Gassaway – Grantee Submission, 2025
The importance of mathematical problem solving (MPS) has been widely recognized. While there has been significant progress in developing and studying interventions to support teaching and learning MPS for students with disabilities, the research on how to accurately and effectively assess the impact of those interventions has lagged, leaving a gap…
Descriptors: Mathematics Skills, Problem Solving, Student Evaluation, Evaluation Methods
Jessica Andrews-Todd; Jonathan Steinberg; Michael Flor; Carolyn M. Forsyth – Grantee Submission, 2022
Competency in skills associated with collaborative problem solving (CPS) is critical for many contexts, including school, the workplace, and the military. Innovative approaches for assessing individuals' CPS competency are necessary, as traditional assessment types such as multiple-choice items are not well suited for such a process-oriented…
Descriptors: Automation, Classification, Cooperative Learning, Problem Solving
Sandra Jensen-Willett; Andrea Cunha; Michele A. Lobo; Regina Harbourne; Stacey C. Dusing; Sarah W. McCoy; Natalie A. Koziol; Lin-Ya Hsu; Emily C. Marcinowski; Iryna Babik; Mihee An; James A. Bovaird – Grantee Submission, 2022
Purpose: This case series documents developmental changes over time and in response to a novel intervention, Sitting Together and Reaching to Play (START-Play), in children with early-life seizures. Methods: Thirteen children with early-life seizures were included from a subset of participants in the START-Play multisite, randomized controlled…
Descriptors: Seizures, Cognitive Development, Motor Development, Child Development
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Candace Walkington; Julianna Washington; Jonathan Hunnicutt; Mitchell J. Nathan – Grantee Submission, 2025
Augmented reality (AR), where digital holograms are layered over the real world, is rapidly being applied to different educational domains, including mathematics education. However, little is known about how AR can be effectively designed for collaborative use. There are both practical and theory-based reasons to set up collaboration in AR in…
Descriptors: Mathematics Instruction, Problem Solving, Computer Simulation, Technology Uses in Education
Dan Soriano; Eli Ben-Michael; Peter Bickel; Avi Feller; Samuel D. Pimentel – Grantee Submission, 2023
Assessing sensitivity to unmeasured confounding is an important step in observational studies, which typically estimate effects under the assumption that all confounders are measured. In this paper, we develop a sensitivity analysis framework for balancing weights estimators, an increasingly popular approach that solves an optimization problem to…
Descriptors: Statistical Analysis, Computation, Mathematical Formulas, Monte Carlo Methods
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Conrad Borchers; Tianze Shou – Grantee Submission, 2025
Large Language Models (LLMs) hold promise as dynamic instructional aids. Yet, it remains unclear whether LLMs can replicate the adaptivity of intelligent tutoring systems (ITS)--where student knowledge and pedagogical strategies are explicitly modeled. We propose a prompt variation framework to assess LLM-generated instructional moves' adaptivity…
Descriptors: Benchmarking, Computational Linguistics, Artificial Intelligence, Computer Software
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Xin Wei; Susu Zhang; Jihong Zhang – Grantee Submission, 2025
This investigation explores the relationship between the use of digital pencil and mathematical problem-solving accuracy among 1,530 students with learning disabilities (LD) and 25,400 general education (GE) peers from the 2017 digital National Assessment of Educational Progress mathematics assessment. The term "digital pencil" in this…
Descriptors: Educational Technology, Technology Uses in Education, Mathematics Skills, Problem Solving
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Natalie Brezack; Melissa Lee; Kelly Collins; Wynnie Chan; Mingyu Feng – Grantee Submission, 2025
Students' effort and emotions are important contributors to math learning. In a recent study evaluating the efficacy of MathSpring, a scalable web-based intelligent tutoring system that provides students with personalized math problems and affective support, system usage data were collected for 804 U.S. 10-12-year-olds. To understand the patterns…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Behavior Patterns, Student Behavior
Ji-Eun Lee; Caroline Byrd Hornburg; Jenny Yun-Chen Chan; Erin Ottmar – Grantee Submission, 2022
This study investigated the effects of (1) proximal grouping of numbers; (2) problem-solving goals to make 100; and (3) prior knowledge on students' initial solution strategies in an interactive online mathematics game. In this game, students transformed an initial expression into a perceptually different but mathematically equivalent goal state.…
Descriptors: Problem Solving, Electronic Learning, Mathematics Activities, Game Based Learning
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Natalie Brezack; Wynnie Chan; Mingyu Feng – Grantee Submission, 2024
Perseverance is critical for students' achievement and may be particularly important after COVID-19. This paper includes analyses of teacher and principal interviews and student educational technology usage data to examine students' perseverance during math problem-solving across three cohorts of students during and after COVID-19. Data were…
Descriptors: COVID-19, Pandemics, Academic Persistence, Mathematics Education
Andrea Baraldi Cunha; Iryna Babik; Dongho Choi; Natalie Koziol; Regina T. Harbourne; Stacey Dusing; Sarah W. McCoy; Sandra L. Willett; James A. Bovaird; Michele A. Lobo – Grantee Submission, 2024
Background: Children with motor delays are at increased risk for delayed means-end problem-solving (MEPS) performance. Objectives: To evaluate children with motor delays: 1) the impact of motor delay severity and MEPS mastery timing on developmental trajectories of MEPS; and 2) the effectiveness of Sitting Together And Reaching To Play…
Descriptors: Psychomotor Skills, Developmental Delays, At Risk Persons, Problem Solving
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