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Sunku Kwon; Yang Bai; Youngwon Kim; Ryan D. Burns; Timothy A. Brusseau; Wonwoo Byun – Measurement in Physical Education and Exercise Science, 2025
This study aimed to assess the agreement in physical activity (PA) estimates from Garmin Vivofit Jr. 3 (VFJ 3) and Fitbit Ace 3 (Ace 3) with a research-grade accelerometer (wGT3X-BT) in children under free-living conditions. Twenty-five children (Girls: 56%, Age: 10.1 ± 2.5 years, BMI: 17.1 ± 2.4 kg/m2) performed daily activities for 7 consecutive…
Descriptors: Physical Activity Level, Children, Validity, Handheld Devices
Pérez Cortés, Luis E.; Ha, Jesse; Su, Man; Nelson, Brian; Bowman, Catherine; Bowman, Judd – Educational Technology Research and Development, 2023
This study explores the feasibility of forming detailed inferences about museum visitor behavior based on analysis of data collected via "Dr. Discovery"--a mobile question-and-answer app. We analyzed 5656 questions asked by 795 visitor groups recorded by Dr. Discovery across two museums in the American Southwest. Analysis of this data…
Descriptors: Museums, Behavior, Handheld Devices, Questionnaires
Anna J. Hugo; Ivan Bachisi – Reading & Writing: Journal of the Literacy Association of South Africa, 2024
Background: Literacy is an important skill that is necessary for people--especially adolescents--to access electronic media, including mobile devices. The only way to develop competence in reading is by reading more. Young people who enjoy leisure reading are usually more successful readers. In this study, the authors did research into a group of…
Descriptors: Foreign Countries, Handheld Devices, Reading, Recreational Reading
Joseph Johnson; Lauren Berlingo-Tapp – SRATE Journal, 2025
This study examined the effects of a mobile camera versus a stationary camera on scores for Rubrics 6-9 of the Elementary Education edTPA Task 2. Scores on these rubrics are primarily based on video evidence for a positive classroom environment, engaging students in learning, deepening student learning, and subject-specific pedagogy. Over two…
Descriptors: Photography, Handheld Devices, Telecommunications, Performance Based Assessment
Soares, Julia S. – Applied Cognitive Psychology, 2023
The current study examined why people take and delete photos with smartphone cameras, and participants' recollective experiences with saved and deleted photos. Two mixed-methods surveys asked undergraduates (Study 1) and an international online sample (Study 2) to review both recently taken and recently deleted photos from their smartphones' photo…
Descriptors: Photography, Telecommunications, Handheld Devices, Recall (Psychology)
Shujun Liu; Luke Sloan; Tarek Al Baghal; Matthew Williams; Curtis Jessop; Paulo Serôdio – International Journal of Social Research Methodology, 2025
Linking survey and social media data has gained popularity. However, obtaining consent from respondents to link social media is a known challenge. Using data from a nationally representative survey of the U.K. this study investigated whether respondents' a) activity frequency, b) activity variety and c) technical skills with smartphones are…
Descriptors: Surveys, Hypermedia, Social Media, Privacy
Ladislao Salmerón; Lidia Altamura; Pablo Delgado; Anastasia Karagiorgi; Cristina Vargas – Journal of Educational Psychology, 2024
As handheld devices, such as tablets, become a common tool in schools, a critical and urgent question for the research community is to assess their potential impact on educational outcomes. Previous meta-analytic research has evidenced the "screen inferiority effect": Readers tend to understand texts slightly worse when reading on-screen…
Descriptors: Elementary School Students, Secondary School Students, Undergraduate Students, Reading Comprehension
Anja Stevic; Desirée Schmuck; Marina F. Thomas; Kathrin Karsay; Jörg Matthes – Journal of Early Adolescence, 2024
During early adolescence children are increasingly using their smartphones not only throughout the day, but also before or even during the nighttime. Prior research has revealed that children's school performance might suffer because of late-night smartphone use. To gain a further understanding of the consequences of nighttime smartphone use on…
Descriptors: Sleep, Handheld Devices, Telecommunications, Attention Span
Bimal Aklesh Kumar – Interactive Learning Environments, 2024
Mobile learning applications are being developed to support the teaching and learning process. The lack of an accepted methodology for developing these applications motivated the establishment of a design science research process for developing mobile learning applications. Design science methodology from the information systems domain was…
Descriptors: Computer Oriented Programs, Handheld Devices, Telecommunications, Design
Noor-i-Kiran Naeem; Zil-e-Fatima Naeem; Asfand Yar Anwar – Discover Education, 2024
This study aimed to determine the trends of smartphone usage and behaviours associated with its use among undergraduate medical students at ABWA Medical College, Pakistan. Conducted from July to December 2023, this cross-sectional survey involved 270 undergraduate medical students, with 264 participants responding, resulting in a 97.7% response…
Descriptors: Foreign Countries, Undergraduate Students, Medical Students, Handheld Devices
Sun Kyung Kim; Youngho Lee; Hye Ri Hwang; Oe Nam Kim – Journal of Computer Assisted Learning, 2025
Background: Comprehensive assessment of skills and performance are necessary to improve the quality of care in nursing education. Various factors pose challenges to accurate assessments, including high student-teacher ratio and observer bias. Objectives: To establish an assessment system based on first-person video of smart glasses and validate…
Descriptors: Handheld Devices, Technology, Video Technology, Evaluation Methods
Kaitlyn Burnell; Jessica S. Flannery; Kara A. Fox; Mitchell J. Prinstein; Eva H. Telzer – Journal of Children and Media, 2025
Associations between adolescent social media use and well-being are inconclusive, and studies using rigorous methodologies and objective measures are needed. Additionally, attention on what individual differences may moderate linkages between social media and well-being is necessary. We tested 1) how daily social media use (assessed via…
Descriptors: Adolescents, Social Media, Well Being, Addictive Behavior
Xiaoyuan Chu; Yuxin Chen; Alafate Litifu; Yang Zhou; Xiaochun Xie; Xinyi Wei; Li Lei – Psychology in the Schools, 2024
Phubbing harms relationships and reduces well-being of phubbees. However, limited research has explored the potential causes and underlying mechanisms for phubbing; and an important risk factor, social anxiety, has been largely ignored from previous studies. The present study employed a moderated mediation model to examine whether social anxiety…
Descriptors: Telecommunications, Handheld Devices, Anxiety, Correlation
Yi-Chun Chen; Gwo-Jen Hwang; Chiu-Lin Lai – Education and Information Technologies, 2024
Self-regulatory learning skills are recognized as an essential factor motivating students to learn. The lack of self-regulatory learning skills could reduce students' learning performance. Therefore, engaging students in making learning plans, executing the plans, and reflecting on their learning remains a challenge for teachers. To address this…
Descriptors: Self Management, Gamification, Handheld Devices, Student Motivation
Chenxi Liu; Yixi Wang; Marvin Evans; Ana-Paula Correia – Education and Information Technologies, 2024
Mobile learning has gained significant recognition for its beneficial effects on learning across various dimensions. Nonetheless, ensuring consistent learner acceptance of mobile learning remains a critical factor to address. This meta-analysis study is the first comprehensive examination of critical antecedents impacting learners' perceived…
Descriptors: Handheld Devices, Telecommunications, Electronic Learning, Usability