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Showing 1 to 15 of 18 results Save | Export
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Öztürk, Mücahit; Kerse, Gökhan – Education for Information, 2022
This study aims to determine the predictors of cyberloafing behaviors of university students. In this context, we examined the effects of smartphone and internet addiction variables on cyberloafing levels. Besides, the mediator effect of internet addiction was determined in the impact of smartphone addiction on cyberloafing. We conducted the…
Descriptors: Handheld Devices, Internet, Addictive Behavior, Predictor Variables
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Ranjit Kumar Behera; Roshan Chandra; Subhankita Rath – Journal on School Educational Technology, 2024
Video game addiction is a global phenomenon. A high level of addiction leads to detrimental effects on the social, educational, and psychological aspects of the students. The objective of this study is to examine the relationship between videogame addiction and the academic performance of senior secondary students. For this, the study has used the…
Descriptors: Correlation, Video Games, Addictive Behavior, Academic Achievement
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Weiyi Sun; Miao Chao – Education and Information Technologies, 2024
The use of social media among students has gained significant attention due to its potential impact on academic performance, characterized by both positive and negative effects. However, limited research exists regarding the different types of excessive social media use and their influence on academic performance. In this innovative study, we aim…
Descriptors: Social Media, Mass Media Use, Academic Achievement, Time Management
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Fook, Chan Yuen; Narusaman, Suthagar; Aziz, Norazah Abdul; Mustafa, Sharifah Muzlia Syed; Han, Cheong Tau – Malaysian Journal of Learning and Instruction, 2021
Purpose: Smartphones have become part and parcel of life in the 21st century. Since there has been limited research exploring the relationship between mobile addiction, interpersonal relationship, and academic behaviour among young adults in tertiary institutions, the present study has embarked on an exploration of the relationship between these…
Descriptors: Handheld Devices, Addictive Behavior, Interpersonal Relationship, Student Behavior
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Esra Malkoç; Tugba Yanpar Yelken – Journal of Educational Technology, 2023
The aim of this study is to examine the relationship between technology addiction levels and peer bullying levels of students at secondary school and to reveal their views on this topic. The survey model from quantitative research method was used in the research. While the population of the research is composed of all secondary schools in district…
Descriptors: Secondary School Students, Information Technology, Addictive Behavior, Student Behavior
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Singh, Anjali; Srivastava, Dinesh Kumar – International Journal of Information and Communication Technology Education, 2021
The aim of the study is to understand the effect of Internet addiction on student's academic engagement. There are numerous studies explaining the negative relationship between Internet addiction and academic performance still very few studies could explain how the excessive use of the internet disrupts students' academic engagement. This study…
Descriptors: Internet, Addictive Behavior, Student Behavior, Learner Engagement
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Kalkan, Bilal; Bhat, Christine Suniti – International Journal of Contemporary Educational Research, 2020
Young adults on college campuses have easy access to information and communications technology (ICT) which they use extensively for study, work, and leisure. The purpose of this study was to investigate the prevalence and extent of problematic Internet use, online gaming behavior, and online gambling behavior (together referred to as dysfunctional…
Descriptors: Internet, Games, Risk, Depression (Psychology)
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Saritepeci, Mustafa – Education and Information Technologies, 2020
Cyberloafing is one of the phenomena that adversely affects the efficiency and productivity in learning and teaching activities in educational settings. Increased ICT (information and "communication technology") access status in educational environments and personal mobile devices lead to a wide range of cyberloafing behaviors of…
Descriptors: Predictor Variables, High School Students, Attention Control, Metacognition
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Nwosu, Kingsley Chinaza; Ikwuka, O. I.; Onyinyechi, Mary Ugorji; Unachukwu, Gabriel Chidi – Canadian Journal of Learning and Technology, 2020
Researchers are of the view that students' attachment to social media may lead to negative consequences such as postponement of their academic work. Yet how social media use is associated with academic procrastination of students is still underexplored. This study ascertained the pathways through which social media use predicted academic…
Descriptors: Social Media, Internet, Student Behavior, Predictor Variables
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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
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Obedzinski, Kaitlyn; Edgerton, Jason D.; Roberts, Lance W. – College Student Journal, 2019
This study investigates some of the motivational and behavioral correlates of problem gambling behaviours in a Canadian university sample of emerging adults. This transitional developmental stage presents many new opportunities and challenges that may strain emerging adults' coping capacities, and is typically characterized by heightened tolerance…
Descriptors: Addictive Behavior, Games, Probability, Risk
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Lepp, Andrew; Barkley, Jacob E.; Karpinski, Aryn C.; Singh, Shweta – SAGE Open, 2019
This study compared college students' multitasking in online courses with their multitasking in face-to-face courses and explored the significance of potential predictors of multitasking in each setting. Students taking both online and face-to-face courses completed surveys assessing multitasking in each setting, self-efficacy for self-regulated…
Descriptors: College Students, Student Behavior, Time Management, Online Courses
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Rhodes, Nancy; Potocki, Bridget; Thomas, Sarah – Health Education & Behavior, 2019
Understanding the factors that make college students more likely to drink alcohol and smoke cigarettes is key to developing effective interventions in order to reduce these behaviors. This study sought to understand entering college students' intentions to engage in smoking and drinking behavior by examining the cognitive accessibility (ease of…
Descriptors: Student Behavior, Smoking, Drinking, Intention
Wendy Li – Sage Research Methods Cases, 2016
This case study explores the use of "fangtan," a Chinese narrative method, in the investigation of problem gambling among Chinese international students. It provides a snapshot of the project context and an analysis on the importance of using narrative to explore sensitive topics. The case study covers practical elements of the…
Descriptors: Addictive Behavior, Foreign Students, Asian American Students, Cultural Background
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Seo, Mijung; Choi, Eunsil – School Psychology International, 2018
The aim of this study was to identify the classes of trajectory in mobile phone dependency using growth mixture modeling among Korean early adolescents from elementary school to the middle school transition. The effects of negative parenting on determining the classes were also examined. The participants were 2,378 early adolescents in the Korean…
Descriptors: Telecommunications, Handheld Devices, Child Rearing, Addictive Behavior
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