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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
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
Brower, Rebecca L.; Bertrand Jones, Tamara; Osborne-Lampkin, La'Tara; Hu, Shouping; Park-Gaghan, Toby J. – Grantee Submission, 2019
Big qualitative data (Big Qual), or research involving large qualitative data sets, has introduced many newly evolving conventions that have begun to change the fundamental nature of some qualitative research. In this methodological essay, we first distinguish big data from big qual. We define big qual as data sets containing either primary or…
Descriptors: Qualitative Research, Data, Change, Barriers
Bourchtein, Elizaveta; Langberg, Joshua M.; Cusick, Caroline N.; Breaux, Rosanna P.; Smith, Zoe R.; Becker, Stephen P. – Grantee Submission, 2019
Objectives: This study used a multi-informant approach to examine differences in types and rates of technology used by adolescents with and without attention-deficit/hyperactivity disorder (ADHD), associations between technology use and sleep/daytime sleepiness, and whether technology use was differentially related to sleep/daytime sleepiness in…
Descriptors: Computer Use, Sleep, Adolescents, Attention Deficit Hyperactivity Disorder