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Chan, Yuen Fook; Narasuman, Suthagar; Selamat, Nurharani – International Journal of Instruction, 2022
Since there is little research on the mediative effect of excessive mobile phone use on mobile addiction and academic behavior among university students, hence, the current study sought to study the relationship between these three variables. Data was collected from 435 university students through an online Google form survey sent through a…
Descriptors: Handheld Devices, College Students, Addictive Behavior, Learner Engagement
Iliç, Ulas; Tanyeri, Tayfun – Malaysian Online Journal of Educational Technology, 2021
Becoming one of the indispensable tools of our daily life, mobile phones have accelerated the pace of our life by facilitating our business affairs. In addition to the good aspects of these tools reshaping even our habits, they also have various psychological and physiological damages. One of the behaviors for which the cell phone is considered as…
Descriptors: Telecommunications, Handheld Devices, Preservice Teachers, Teachers
Melcher, Jennifer; Lavoie, Joel; Hays, Ryan; D'Mello, Ryan; Rauseo-Ricupero, Natali; Camacho, Erica; Rodriguez-Villa, Elena; Wisniewski, Hannah; Lagan, Sarah; Vaidyam, Aditya; Torous, John – Journal of American College Health, 2023
Objective: This study assessed the feasibility of capturing smartphone based digital phenotyping data in college students during the COVID-19 pandemic with the goal of understanding how digital biomarkers of behavior correlate with mental health. Participants: Participants were 100 students enrolled in 4-year universities. Methods: Each…
Descriptors: Telecommunications, Handheld Devices, College Students, COVID-19
The Relationship between Nomophobia and Depression, Anxiety and Stress Levels of University Students
Çakmak Tolan, Özlem; Karahan, Selma – International Journal of Psychology and Educational Studies, 2022
In today's world, smartphones are an indispensable part of people's daily lives because smartphones facilitate daily routines. However, problematic or excessive use of smartphones can cause some psychological problems. Nomophobia is considered as one of the psychological problems caused by excessive use of smartphones. Nomophobia is referred to as…
Descriptors: Depression (Psychology), Telecommunications, Handheld Devices, Anxiety
Sahin, Münir; Bulbuloglu, Semra – African Educational Research Journal, 2021
This study aimed to examine the effects of nomophobic behaviors of university students on their intellectual thinking tendency in their daily lives. This study used a descriptive and cross-sectional study design. The study was conducted between May and June 2020 with the online participation of 448 university students in Turkey. The study sample…
Descriptors: Student Behavior, College Students, Late Adolescents, Intellectual Development
Bonnie Lynn Howard – ProQuest LLC, 2022
The purpose of this quantitative correlational study was to examine (1) the predictive relationships of smartphone addiction, social networking sites usage, and the fear of missing out with academic achievement as measured by GPA in undergraduate students from 18 to 25 years of age using stepwise regression; (2) the correlation between levels of…
Descriptors: Handheld Devices, Telecommunications, Web Sites, Grade Point Average
Karabatak, Songül; Alanoglu, Müslim – International Journal of Psychology and Educational Studies, 2021
This study investigated whether teacher candidates' perceived social support (PSS) predicts smartphone use during lectures. To achieve the aim of the study, a relational survey model was used. The study sample composed of students studying at the College of Education in Elazig Province, Turkey, during the 2019-2020 academic semester. The…
Descriptors: Foreign Countries, Preservice Teachers, Predictor Variables, Telecommunications
Shaya, Nessrin M.; Madani, Rehaf A.; Mohebi, Laila M. B. – Journal of Interactive Learning Research, 2023
This study developed and empirically tested a theoretical model to predict the factors affecting students' acceptance and behavioral intentions toward using mobile learning (m-learning) in United Arab Emirates (UAE). The present study explored the behavioral intention to use m-learning from the angle of consumers by applying the extended Unified…
Descriptors: Higher Education, Intention, Student Behavior, Information Technology
Eissa, Mourad Ali; Khalifa, Ayman Gamal – Electronic Journal of Research in Educational Psychology, 2020
Introduction: Inability to self-regulate learning is likely to be an indication of internet/mobile phone use. When students have low self-regulation, this may negatively predict problematic smartphone use. Additionally, problematic smartphone use could be a predictor of academic procrastination. The aim of this study was to investigate the…
Descriptors: Correlation, Self Management, Student Behavior, Predictor Variables
Viriyavejakul, Chantana – International Association for Development of the Information Society, 2020
Plastic waste pollution has already affected everything on earth, especially with frighteningly high amounts of waste plastic being found recently in un-inhabited places. Responsibility of reducing plastic use and waste is more dependent on highly educated people than normal people as highly educated people are social reform leaders. This study is…
Descriptors: Pollution, Plastics, Conservation (Environment), Telecommunications
Pavlacic, Jeffrey M.; Dixon, Laura J.; Schulenberg, Stefan E.; Buchanan, Erin M. – Journal of American College Health, 2022
Objective: Adverse consequences of binge drinking episodes are well-established, but fewer studies have investigated how incremental changes in daily alcohol use relate to well-being. We examined within- and between-person associations in alcohol use and next-day valued living to enhance our understanding of the impact of alcohol use on…
Descriptors: Correlation, Drinking, Well Being, Undergraduate Students
Battistoli, B. F. – Journal on Excellence in College Teaching, 2019
This study explores the relationship between the frequency and time spent on cell phones (independent variables) by students in the classroom and students' academic performance (dependent variable), as represented by self-reported grade point average (GPA). A 22-question Internet survey was conducted at a private Northeastern university (N =…
Descriptors: Telecommunications, Handheld Devices, Student Behavior, Grade Point Average
Limniou, Maria – Education Sciences, 2021
The aim of this investigation was to explore student behaviour when students brought their own digital devices into a lecture theatre. A total of 361 undergraduate psychology students from the University of Liverpool who used at least one digital device during lecture time fully completed an online questionnaire (159 first-, 124 second- and 78…
Descriptors: Academic Achievement, Handheld Devices, Telecommunications, Laptop Computers
Gözümi, Ali Ibrahim Can; Erkul, Raziye; Aksoy, Nur – International Journal of Progressive Education, 2020
The aim of this study is to examine the relationship between pre-service preschool teachers' mobile-learning (m-learning) readiness, cyberloafing, nomophobia and smartphone addiction variables. The study was carried out using 306 pre-service preschool teachers undergoing education at state-run universities in two different cities in Turkey. The…
Descriptors: Telecommunications, Handheld Devices, Correlation, Preschool Teachers
Malik, Amjad; Chohan, Bushra – BU Journal of Graduate Studies in Education, 2020
The authors conducted the research in partnership with two schools in Rawalpindi, Pakistan, in response to concerns over the effects of non-educational video gaming and texting on students' school experiences. Educational professionals wanted to refer to research findings when they advised parents to monitor their children's video gaming and…
Descriptors: Foreign Countries, Grade 9, High School Students, Adolescents