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Mensah Prince Osiesi; Olutoyin Olufunke Fajobi; Sikeade Mercy Adegboyega; Abiodun Adesope Fadiya; Olaitan Titilayo Akinola; Muyiwa Sunday Ajimuse; Folasade Oluyemisi Olayinka; Sunday Nnamdi Okocha; Tolulope Oluwatoyin Olayiwola-Adedoja; Oladipo Adeyeye Olubodun; Atinuke Titilope Babalola; Valentina Grion – Higher Learning Research Communications, 2025
Objective: Internet addiction among university undergraduates may deeply impact their academic lives. This study investigated the association between academic fatigue, academic engagement, academic performance, gender, and internet addiction and how the variables jointly and relatively predict internet addiction among undergraduates in…
Descriptors: Foreign Countries, Internet, Addictive Behavior, Undergraduate Students
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Wei Yao; Hanchao Hou; Peng Yang; Shiguang Ni – Education and Information Technologies, 2025
Smartphone addiction and academic burnout are typical psycho-behavioral problems among adolescents. Extant studies tend to examine them from a single-problem perspective, while research on their co-occurrence is lacking. Moreover, research has been prone to focus on the impacts of the negative sides of smartphone use on the two problems, ignoring…
Descriptors: Foreign Countries, Secondary School Students, Handheld Devices, Addictive Behavior
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Stinson, Lesleigh; Dallery, Jesse – Journal of Applied Behavior Analysis, 2023
Problematic social media use can be characterized as that which interferes with relationships, work, school, or sleep. Currently, there are no empirically supported treatments for reducing problematic social media use. We tested a package intervention to reduce the daily duration of social media use measured by a smartphone application with nine…
Descriptors: Undergraduate Students, Social Media, Handheld Devices, Intervention
Rosalina Johns – ProQuest LLC, 2024
Alcohol abuse is a prevalent problem among college students, with negative consequences on academic performance, social interactions, and well-being. The purpose of this qualitative phenomenological study was to explore the lived experiences and challenges of sobriety for recovering adults returning to college. Sociocultural theory was used to…
Descriptors: Adult Students, Reentry Students, Alcoholism, Addictive Behavior
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Nidhya Balasubramanian; Satyanarayana Parayitam – Knowledge Management & E-Learning, 2023
As smartphones have become effective substitutes for laptops and desktops, smartphone users have been increasing at astronomical proportions. Smartphones have emerged as a valuable tool to communicate with others and constantly keep themselves abreast of what is happening in the world. This may result in a behavioral change called the 'fear of…
Descriptors: Handheld Devices, Social Media, Addictive Behavior, Academic Achievement
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Simon, Jessica R.; Randall, Jason G. – Education and Information Technologies, 2022
Today's learners rely heavily on learning management systems (LMS) to access and submit coursework, receive feedback, interact with others, and track progress. The current study moves past the question of whether to use LMS, to uncover how LMS use affects learners. We drew on motivational theories of goal orientation to predict how frequently…
Descriptors: Predictor Variables, Addictive Behavior, Integrated Learning Systems, Student Motivation
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Anna Sui; Wuyou Sui; Jennifer Irwin – Journal of American College Health, 2024
Smartphone ownership and engagement are at an all-time high. Excessive smartphone use may impart smartphone-specific anxiety; specifically, the fear of being unable to access or use one's smartphone, or nomophobia. Young adults, in particular, are at higher risk for nomophobia, given higher ownership of and engagement with smartphones. Notably,…
Descriptors: Handheld Devices, Internet, Addictive Behavior, Anxiety
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Konca, Ahmet Sami; Baltaci, Onder; Akbulut, Omer Faruk – International Journal of Assessment Tools in Education, 2022
This study aimed to develop a measurement tool to identify preschool children's problematic technology use levels and contribute to Turkish literature. The study group included in the exploratory factor analysis was composed of 357 voluntary children in the preschool period. The study group included in the confirmatory factor analysis, proximal…
Descriptors: Addictive Behavior, Computer Use, Technology, Test Construction
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Nurudeen, Mohammed; Abdul-Samad, Siddique; Owusu-Oware, Emmanuel; Koi-Akrofi, Godfred Yaw; Tanye, Hannah Ayaba – Education and Information Technologies, 2023
With the advent of smartphones and fourth generation mobile technologies, the effect of social media on society has stirred up some debate and researchers across various disciplines have drawn different conclusions. Social media provides university students with a convenient platform to create and share educational content. However, social media…
Descriptors: Social Media, Grade Point Average, Academic Achievement, Prediction
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García-Santillán, Arturo; Mexicano-Fernández, Esmeralda; Molchanova, Violetta S. – European Journal of Contemporary Education, 2021
The purpose of the study is to determine the degree of Internet addiction in engineering students. It takes as a theoretical reference the scale proposed by Young (1998), which establish the criteria and ranges of addiction. The instrument is in Likert format with responses ranging from 1 (rarely) to 5 (always). The participants were 306 students…
Descriptors: Internet, Addictive Behavior, Engineering Education, Foreign Countries
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Jon L. Brunner; Adam G. McCabe; David L. Wallace – Journal of College Student Mental Health, 2024
The decline in college student mental health has been articulated by counseling center directors and administrators in higher education and has been thoroughly documented by research. Counseling centers have responded with diverse functions and services to holistically address the emotional and behavioral health needs of students. Beyond clinical…
Descriptors: College Students, Mental Health, Health Services, Counseling Services
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Alwaely, Suad Abdalkareem; Minnullina, Rosalia; Fedorova, Elena; Lazareva, Yuliya – Cogent Education, 2023
Not only children but also adults now spend much more time in front of the screen (computers, laptops, tablets, phones, TVs, Play Station, other game consoles, etc.) for various reasons: work, study, a lot of free time, communication, entertainment, information retrieval. The aim of this paper is to examine how the time spent in front of the…
Descriptors: Foreign Countries, Secondary School Students, Parents, Addictive Behavior
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Rodríguez-Torrico, Paula; San-Martín, Sonia; Jiménez, Nadia – Computers in the Schools, 2023
A major concern is how to tackle student smartphone addiction (SSA). First, however, analysis of the definition, causes, and consequences of SSA is necessary. There is a lack of consensus in this regard, and little research considers its multidisciplinary nature. This article first reviews the key literature across different disciplines. Based on…
Descriptors: Telecommunications, Handheld Devices, Addictive Behavior, Elementary School Students
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Bayanova, Almira R.; Chistyakov, Alexey A.; Timofeeva, Maria O.; Nasonkin, Vladimir V.; Shulga, Tatiana I.; Vasyukov, Vitaly F. – Contemporary Educational Technology, 2022
Smartphones facilitate communication, education, information, and entertainment through a diverse array of mobile applications. Excessive smartphone use has become a significant societal issue. The research community has explored both the positive and negative consequences of mobile phone use. The phrase "problematic smartphone use"…
Descriptors: Psychometrics, Academic Achievement, Foreign Countries, Addictive Behavior
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Omoyemiju, Michael Adeniyi; Popoola, Bayode Isaiah – British Journal of Guidance & Counselling, 2021
In this study the prevalence of internet addiction was ascertained among students of a university in Nigeria, using a survey design method. A sample of 1448 students was selected through a proportionate sampling technique. Data were collected using Young's (1998) Internet Addiction Test. Fourteen percent of the students exhibited severe levels of…
Descriptors: Incidence, Internet, Computer Use, Handheld Devices
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