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Showing 1 to 15 of 38 results Save | Export
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Aleksandra Kobicheva; Elena Tokareva; Tatiana Baranova – European Journal of Psychology of Education, 2025
Phubbing is not only a consequence of technological advancements but also represents an entirely novel aspect of social conduct, impacting students' academic performance and the sustainability of development. The purpose of the study is to identify the relationship between students' level of phubbing, academic engagement and academic performance…
Descriptors: Student Behavior, Learner Engagement, Computer Use, College Students
Carla Christine White – ProQuest LLC, 2024
The problem under study was that even with training, teachers have difficulty implementing behavior management programs. The purpose of this basic qualitative study was to explore middle school teachers' perceptions of the challenges they encounter in implementing behavior management programs to encourage positive student behavior. The theory of…
Descriptors: Teacher Attitudes, Behavior Modification, Computer Uses in Education, Computer Software
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Neuwirth, Lorenz S. – Journal of College Student Retention: Research, Theory & Practice, 2022
Cellular phone distractions inhibit faculty delivering and students learning the curriculum by reducing student attendance and active engagement. Arguably, cellular phone usage during precious class times can be a risk factor for student attrition, but scarce solutions have been offered to address this problem in colleges. The Flipd App, a…
Descriptors: Telecommunications, Handheld Devices, Attention, Computer Use
Torsten Figueiredo Walter; Guthrie Gray-Lobe; Sarah Kabay – Annenberg Institute for School Reform at Brown University, 2023
Hardware requirements are a barrier to widespread adoption of digital learning software among low-income populations. We investigate the demand among smallholder-farming households for a simple, adaptive math learning tool that can be accessed by widely available "brick" phones, and its effect on educational outcomes. Over a quarter of…
Descriptors: Access to Computers, Handheld Devices, Telecommunications, Computer Uses in Education
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Babaeer, Lena; Stylianou, Michalis; Leveritt, Michael; Gomersall, Sjaan – Journal of American College Health, 2022
Objective: To systematically review available evidence focusing on the relationship between physical activity (PA), sedentary behavior (SB), and educational outcomes (EO), among university students. Method: Articles published in English and up to April 2019 were eligible to be included in the review if they examined associations between either PA…
Descriptors: Physical Activity Level, Life Style, Undergraduate Students, Leisure Time
McConnell, Cara E. – ProQuest LLC, 2021
This mixed-methods case study aimed to explore absenteeism and attendance expectations in Caufield, a pseudonym for a New England school district that facilitated an overnight one-to-one technology distribution in response to COVID-19. The sample consisted of one middle school in a four-school district in Connecticut. This research study sought to…
Descriptors: School Districts, COVID-19, Pandemics, Educational Technology
Balu, Rekha; Lee, Shawna; Steimle, Samantha – Office of Planning, Research and Evaluation, 2018
Building Bridges and Bonds (B3), a federally funded study of Responsible Fatherhood programs, is testing a set of innovative approaches designed to help fathers advance their parenting and employment skills. One of these innovations is a new smartphone-based application called DadTime. It is one of the first mobile applications specifically…
Descriptors: Parent Education, Attendance, Parent Participation, Fathers
EdChoice, 2024
This poll was conducted between February 27-March 6, 2024 among a national sample of 1,002 Teens. The interviews were conducted online and the data were weighted to approximate a target sample of Teens based on gender, age, race, and region. Results from the full survey have a measure of precision of plus or minus 3.1 percentage points. Among the…
Descriptors: Adolescents, Attendance, Student Attitudes, Peer Influence
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Cattell, Lindsay; Bruch, Julie – Regional Educational Laboratory Mid-Atlantic, 2021
This report provides information for administrators in local education agencies who are considering early warning systems to identify at-risk students. Districts use early warning systems to target resources to the most at-risk students and intervene before students drop out. Schools want to ensure the early warning system accurately identifies…
Descriptors: At Risk Students, Identification, Artificial Intelligence, Dropout Prevention
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Lertwilaiwittaya, Pongtawat; Sitticharoon, Chantacha; Maikaew, Pailin; Keadkraichaiwat, Issarawan – Advances in Physiology Education, 2019
The National License Examination step 1 (NLE1), which tests basic medical sciences knowledge in Thailand, is considered to be tough and stressful for medical students due to the large amount of content. This study aimed to determine factors influencing the NLE1 score (NLE1S). The NLE1S, academic achievement, and class attendance were obtained…
Descriptors: Foreign Countries, Medical Students, Influences, Scores
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Hull, Marie; Duch, Katherine – Educational Evaluation and Policy Analysis, 2019
This article uses a difference-in-differences strategy to evaluate the impact of a one-to-one laptop program. Teaching practices changed with the introduction of the program, and the district worked to make wireless Internet more accessible in the community. We find that while short-term impacts of the program were statistically insignificant,…
Descriptors: Computer Uses in Education, Laptop Computers, Outcomes of Education, Influence of Technology
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Labarthe, Hugues; Bouchet, François; Bachelet, Rémi; Yacef, Kalina – International Educational Data Mining Society, 2016
Overall the social capital of MOOCs is under-exploited. For most students in MOOCs, autonomous learning often means learning alone. Students interested in adding a social dimension to their learning can browse discussion threads, join social medias and may message other students but usually in a blind and somehow random way, only hoping to find…
Descriptors: Online Courses, Learner Engagement, Peer Relationship, Academic Persistence
Narayan, Sharishna – Commonwealth of Learning, 2021
This publication on out-of-school-children (OOSC) in the Pacific is a timely and important contribution to consider interventions to ameliorate educational disparities in the region. A contemporary view of the nine Pacific Island Countries (PICs) that are also members of the Commonwealth are captured as distinct case studies in the publication.…
Descriptors: Out of School Youth, Foreign Countries, Access to Education, Dropouts
Montana Office of Public Instruction, 2020
The Montana Youth Risk Behavior Survey (YRBS) is administered by the Montana Office of Public Instruction every two years to students in grades 7 through 12. The purpose of the survey is to help monitor the prevalence of behaviors that not only influence youth health, but also put youth at risk for the most significant health and social problems…
Descriptors: School Safety, Health Behavior, Risk, High School Students
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da Silva, Ketia Kellen A.; Behar, Patricia A. – International Association for Development of the Information Society, 2017
This article presents the development of a digital competency model of Distance Learning (DL) students in Brazil called CompDigAl_EAD. The following topics were addressed in this study: Educational Competences, Digital Competences, and Distance Learning students. The model was developed between 2015 and 2016 and is being validated in 2017. It was…
Descriptors: Distance Education, Educational Technology, Technology Uses in Education, Technological Literacy
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