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Download full textMensah 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
Direct linkAnna 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
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
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
Lovell, Elyse D'nn; Shelton, Robert; Draper, Jeff; Wait, Virginia – Community College Journal of Research and Practice, 2020
Observably, a teachable moment surfaced as two nontraditional aged, first-generation, students discerned fellow traditional aged students, observing markedly different cell phone behaviors than themselves, "Really? That much time on cell phones?" A married mother of four, nursing major, with a cell phone was interested in the potential…
Descriptors: Student Research, Socialization, Telecommunications, Handheld Devices
Teo, Timothy; Kam, Chester – Journal of Psychoeducational Assessment, 2014
Following the call to ensure the validity of instruments used to assess users' level of Internet usage, this study examined the factor structure of the Internet Addiction Test-Adolescence version (IAT-A) when applied to a sample of young children in a multicultural society and assessed whether the items in the IAT-A were invariant by gender and,…
Descriptors: Test Validity, Addictive Behavior, Internet, Measures (Individuals)
