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Showing 1 to 15 of 31 results Save | Export
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Hanchen David Wang; Siwoo Bae; Xutong Sun; Yashvitha Thatigotla; Meiyi Ma – Grantee Submission, 2025
Wearable sensor technology has significantly enhanced healthcare quality, including physical therapy. However, due to the design of current deep learning models, existing works often ignore the unique variations of rest intervals between repetitions and variations in individual user progress, potentially hindering effective therapy outcomes. To…
Descriptors: Physical Therapy, Exercise, Artificial Intelligence, Measurement Equipment
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Wen Chiang Lim; Neil T. Heffernan; Adam Sales – Grantee Submission, 2025
As online learning platforms become more popular and deeply integrated into education, understanding their effectiveness and what drives that effectiveness becomes increasingly important. While there is extensive prior research illustrating the benefits of intelligent tutoring systems (ITS) for student learning, there is comparatively less focus…
Descriptors: Intelligent Tutoring Systems, Computer Uses in Education, Prompting, Reports
Keller, Brian T. – Grantee Submission, 2021
In this paper, we provide an introduction to the factored regression framework. This modeling framework applies the rules of probability to break up or "factor" a complex joint distribution into a product of conditional regression models. Using this framework, we can easily specify the complex multivariate models that missing data…
Descriptors: Regression (Statistics), Models, Multivariate Analysis, Computation
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Valerie L. Mazzotti; Karrie A. Shogren; Jared H. Stewart-Ginsburg; Stephen M. Kwiatek; Mayumi Hagiwara; Danielle C. Wysenski; Richard A. Chapman – Grantee Submission, 2024
Promoting student self-determination is recognized as the best practice in secondary transition planning. Few self-determination interventions have utilized technology to provide individualized learning opportunities. The Goal Setting Challenge (GSC) App was developed to provide a technology-based instructional approach to support developing…
Descriptors: Goal Orientation, Computer Oriented Programs, Self Determination, Computer Uses in Education
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Kirk P. Vanacore; Ashish Gurung; Adam C. Sales; Neil T. Heffernan – Grantee Submission, 2024
Gaming the system is a persistent problem in Computer-Based Learning Platforms. While substantial progress has been made in identifying and understanding such behaviors, effective interventions scarce. This study uses a method of causal moderation known as Fully Latent Principal Stratification to explore the impact of two types of interventions --…
Descriptors: Gamification, Student Behavior, Computer Uses in Education, Intervention
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
Saira Anwar; Ahmed Ashraf Butt; Muhsin Menekse – Grantee Submission, 2023
This study explored the effectiveness of scaffolding in students' reflection writing process. We compared two sections of an introductory computer programming course (N=188). In Section 1, students did not receive any scaffolding while generating reflections, whereas in Section 2, students were scaffolded during the reflection writing process.…
Descriptors: Scaffolding (Teaching Technique), Writing Instruction, Writing Processes, Writing (Composition)
Monique H. Harrison; Philip A. Hernandez – Grantee Submission, 2022
The interview experience is only one component of the process of interviewing -- software programmes can coordinate the pre-interview steps and begin a digitally-mediated relationship with participants long before the actual interview commences. This essay provides examples of how researchers can maximise their time and energy by digitally…
Descriptors: College Freshmen, Interviews, Computer Uses in Education, Computer Software
Rebecca Dore; Nan Xiao; Robin Sayers; Kelly Purtell; Laura Justice – Grantee Submission, 2023
We examined whether media use measured using time diaries is related to preschoolers' academic and social/behavioral skills. Children (N = 179) completed direct assessments of academic skills in the fall and spring, and teachers reported on social and behavioral skills. Parents/caregivers completed a 24-hr time diary in the spring, from which…
Descriptors: Preschool Children, Interpersonal Competence, Student Behavior, Preschool Education
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Millar, Roberto J.; Sahoo, Shalini; Yamashita, Takashi; Cummins, Phyllis A. – Grantee Submission, 2020
Online health information is underutilized among Hispanics with low English proficiency in the U.S. This study examines the association between a unique measure of general English literacy, language use, and online health information seeking among Hispanic adults. Data for Hispanics ages 25 to 65 (N = 700) come from the 2012/2014 Program for…
Descriptors: Hispanic Americans, Information Seeking, Literacy, Language Usage
Rebecca A. Dore; Kelly M. Purtell; Laura M. Justice – Grantee Submission, 2021
Objective: This study examines media use of children from low-income homes during school closings during the COVID-19 pandemic. Method: Caregivers of 151 kindergartners from low-income homes completed questionnaires as part of a larger study. Caregivers reported how much time children spent watching TV/videos and using apps on the most recent…
Descriptors: COVID-19, Pandemics, Computer Use, Low Income Students
Rishabh Chatterjee; Michael Madaio; Amy Ogan – Grantee Submission, 2020
Educational technologies may help support out-of-school learning in contexts where formal schooling fails to reach every child, but children may not persist in using such systems to learn at home. Prior research has developed methods for predicting learner dropout but primarily for adults in formal courses and Massive Open Online Courses (MOOCs),…
Descriptors: Handheld Devices, Intervention, Rural Areas, Foreign Countries
Julia Cambre; Chinmay Kulkarni – Grantee Submission, 2019
When a smart device talks, what should its voice sound like? Voice-enabled devices are becoming a ubiquitous presence in our everyday lives. Simultaneously, speech synthesis technology is rapidly improving, making it possible to generate increasingly varied and realistic computerized voices. Despite the flexibility and richness of expression that…
Descriptors: Assistive Technology, Speech Communication, Computer Use, Man Machine Systems
Millar, Roberto J.; Sahoo, Shalini; Yamashita, Takashi; Cummins, Phyllis A. – Grantee Submission, 2019
Problem-solving skills in the context of technologically complex modern societies have become increasingly important to health management in later life. This study is designed to investigate the associations between problem-solving skills in technology-rich environment (PSTRE) and health, and to explore whether age-differences exist. Using the…
Descriptors: Problem Solving, Adults, Age Differences, Lifelong Learning
Kuba, Renata; Rahimi, Seyedahmad; Smith, Ginny; Shute, Valerie J.; Dai, Chih-Pu – Grantee Submission, 2021
Over three years, our research team has designed various learning supports for promoting content knowledge and solving game levels. In this case study, we examined the optimal design and the evaluation of learning support videos for a physics educational game. Often studies focus on investigating the effects of research-based principles without a…
Descriptors: Educational Games, Game Based Learning, Physics, Educational Principles
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