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Kelsey K. Wiggs; Rosanna Breaux; Joshua M. Langberg; James L. Peugh; Stephen P. Becker – Grantee Submission, 2024
Background: Research has been inconclusive as to whether stimulant treatment causes or exacerbates sleep problems in adolescents with ADHD. This study examined sleep differences in adolescents with ADHD as a function of stimulant use. Methods: Participants were adolescents with ADHD (N=159, ages 12-14). Parents reported on receipt of stimulant…
Descriptors: Sleep, Adolescents, Drug Use, Stimulants
Alexandria A. Viegut; Ana C. Stephens; Percival G. Matthews – Grantee Submission, 2024
Researchers from multiple disciplines have found that fractions and algebra knowledge are linked. One major strand of research has identified children's "units coordination" structures as crucial for success with fractions and algebra via multiplicative reasoning, whereas a second strand of research points to "magnitude…
Descriptors: Fractions, Algebra, Mathematics Instruction, Grade 8
Scott P. Ardoin; Katherine S. Binder; Paulina A. Kulesz; Eloise Nimocks; Joshua A. Mellott – Grantee Submission, 2024
Understanding test-taking strategies (TTSs) and the variables that influence TTSs is crucial to understanding what reading comprehension tests measure. We examined how passage and student characteristics were associated with TTSs and their impact on response accuracy. Third (n = 78), fifth (n = 86), and eighth (n = 86) graders read and answered…
Descriptors: Test Wiseness, Eye Movements, Reading Comprehension, Reading Tests

Priti Oli; Rabin Banjade; Jeevan Chapagain; Vasile Rus – Grantee Submission, 2023
This paper systematically explores how Large Language Models (LLMs) generate explanations of code examples of the type used in intro-to-programming courses. As we show, the nature of code explanations generated by LLMs varies considerably based on the wording of the prompt, the target code examples being explained, the programming language, the…
Descriptors: Computational Linguistics, Programming, Computer Science Education, Programming Languages
Mingyu Feng; Chunwei Huang; Kelly Collins – Grantee Submission, 2023
Math performance continues to be an important focus for improvement. Many districts adopted educational technology programs to support student learning and teacher instruction. The ASSISTments program provides feedback to students as they solve homework problems and automatically prepares reports for teachers about student performance on daily…
Descriptors: Grade 7, Students, Mathematics Instruction, Homework
Burhan Ogut; Blue Webb; Juanita Hicks; Ruhan Circi; Michelle Yin – Grantee Submission, 2024
In this study, we explore the application of process mining techniques on assessment log data to explore problem-solving strategies in Algebra. By analyzing sequences of student activities, we demonstrate the significant potential of process mining in identifying problem-solving strategies that lead to successful and unsuccessful outcomes. Our…
Descriptors: Mathematics Skills, Problem Solving, Learning Analytics, Algebra
Ashish Gurung; Morgan P. Lee; Sami Baral; Adam C. Sales; Kirk P. Vanacore; Andrew A. McReynolds; Hilary Kreisberg; Cristina Heffernan; Aaron Haim; Neil T. Heffernan – Grantee Submission, 2023
Solving mathematical problems is cognitively complex, involving strategy formulation, solution development, and the application of learned concepts. However, gaps in students' knowledge or weakly grasped concepts can lead to errors. Teachers play a crucial role in predicting and addressing these difficulties, which directly influence learning…
Descriptors: Error Patterns, Mathematical Applications, Grade 6, Grade 7
Carly A. Roberts; Elizabeth H. Saliba; Erin M. Stewart – Grantee Submission, 2024
There is an expanding body of research focused on exploring inclusive science learning for students with complex support needs. The aim of this qualitative case study was to explore how a research partnership focused on expanding inclusive science learning for students with complex support needs (CSN) could support the learning of a focal student…
Descriptors: Science Education, Special Needs Students, Autism Spectrum Disorders, Regular and Special Education Relationship

Cindy Peng; Conrad Borchers; Vincent Aleven – Grantee Submission, 2024
Prior studies identified effective, but mainly non-digital, homework aids. This research involved 18 middle school students in a lo-fi prototyping study to integrate traditional homework support tools with intelligent tutoring systems (ITS), leveraging rich log data for personalized learning. Feature investigations in standardized diaries, goal…
Descriptors: Middle School Students, Intelligent Tutoring Systems, Homework, Design
Michael Solis; John William McKenna – Grantee Submission, 2023
Despite a marked increase in the volume of research investigating issues about reading interventions for students with ASD (e.g., Bailey and Arciuli, Rev J Autism Dev Disord 7(2):127-150, 2020; Chiang and Lin, Focus Autism Other Dev Disab 22(4):259-267, 2007), very few studies have examined the current reading practices experienced by children…
Descriptors: Reading Instruction, Students with Disabilities, Autism Spectrum Disorders, Grade 4
Sanei, Hamid; Lee, Hollylynne – Grantee Submission, 2021
This paper investigates two specific probabilistic biases which middle graders usually exhibit when reasoning about probability and randomness on assessment items. We discuss how students' reasoning about key probability concepts undergirds statistics literacy related to randomness, independence, and the likelihood of future events based on past…
Descriptors: Mathematical Concepts, Probability, Middle School Mathematics, Middle School Students
David J. Francis; Paulina A. Kulesz; Shiva Khalaf; Martin Walczak; Sharon R. Vaughn – Grantee Submission, 2022
Intervention research in education is sometimes criticized for the use of experimenter developed assessments, especially when these are over aligned with treatment. At the same time, intervention researchers sometimes prefer locally developed assessments because they appear to be more sensitive to treatment effects even when the test is not…
Descriptors: Intervention, Standardized Tests, Test Items, Grade 8
Langberg, Joshua M.; Breaux, Rosanna P.; Cusick, Caroline N.; Green, Cathrin D.; Smith, Zoe R.; Molitor, Stephen J.; Becker, Stephen P. – Grantee Submission, 2019
Background: Prior studies examining the sleep of adolescents with and without attention-deficit/hyperactivity disorder (ADHD) have relied on mean values such as average sleep duration, which masks intraindividual variability. The objective was to investigate whether adolescents with ADHD have greater intraindividual variability of sleep/wake…
Descriptors: Sleep, Adolescents, Attention Deficit Hyperactivity Disorder, Individual Differences
Jessica Andrews-Todd; Jonathan Steinberg; Samuel L. Pugh; Sidney K. D'Mello – Grantee Submission, 2022
New challenges in today's world have contributed to increased attention toward evaluating individuals' collaborative problem solving (CPS) skills. One difficulty with this work is identifying evidence of individuals' CPS capabilities, particularly when interacting in digital spaces. Often human-driven approaches are used but are limited in scale.…
Descriptors: Problem Solving, Cooperation, Grade 7, Grade 8
Eric J. Brunner; Shaun M. Dougherty; Stephen L. Ross – Grantee Submission, 2023
We examine the effect of attending stand-alone technical high schools in Connecticut using regression discontinuity. Male students are 10 percentage points more likely to graduate from high school and have half a semester less time enrolled in college. Male students have 32% higher average quarterly earnings. Earnings effects may in part reflect…
Descriptors: Career Education, Technical Education, Influences, High Schools