Internet Addiction and Fear of Missing Out

Wireko, Joseph Kofi

doi:10.4018/978-1-5225-8900-6.ch016

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…It is an expected outcome that IA has a strong relationship with FoMO which can be defined as an expanded IA implementation (Tang et al. , 2020) and a type of IA (Wirrko, 2019; Metin-Orta, 2020) in the literature. On the other hand, the study conducted by Vaidya et al.…”

Section: Discussionmentioning

confidence: 99%

“…FoMO increases with an increase in students' IA. It is an expected outcome that IA has a strong relationship with FoMO which can be defined as an expanded IA implementation (Tang et al, 2020) and a type of IA (Wirrko, 2019;Metin-Orta, 2020) in the literature. On the other hand, the study conducted by Vaidya et al (2016) suggested that FoMO strongly related to IA and FoMO may trigger IA or problematic usage of the internet.…”

Section: Se Ia and Fomo In Online Learning Environmentmentioning

confidence: 99%

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Examining the predictors of university students' engagement, fear of missing out and Internet addiction in online environments

Avcı

Kula

2022

ITP

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PurposeRecently, online learning and online environments have become even more important. Students' engagement, fear of missing out and Internet addiction are seen as interrelated components that affect students' online teaching and learning process. In this context, university students' engagement, fear of missing out and Internet addiction in online environments, the relationship among them and students' demographic characteristics, online environment usage status and Internet usage profiles as their predictors are examined in this study.Design/methodology/approachThis is a relational study and is carried out with 179 university students. Personal information form, student's engagement, fear of missing out and Internet addiction scales were used as data collection tools. Descriptive statistics, t-test, one-way ANOVA, correlation, hierarchical linear multiple regression analysis are used for the analysis.FindingsAccording to the results, variables related to students' demographic characteristics, online environment usage status and Internet usage profiles together significantly predict the students' engagement, fear of missing out and Internet addiction in online environments. When students think positively about taking courses online, their engagement increases accordingly and their fear of missing out levels decrease. Increase in student's academic achievement leads to decline in Internet addiction.Practical implicationsIn practice, examining the related variables about students in terms of engagement to the learning environment, fear of missing out and Internet addiction could bring a new perspective to studies on problematic use of the Internet and technology such as nomophobia and digital distraction. The results of this study reveal how and which components to be focused on for increasing the university students' engagement, reducing Internet addiction and fear of missing out in online learning environments.Originality/valueThe findings of this study provide a versatile perspective with the variables of student participation, fear of missing out, Internet addiction and their predictors in online learning environments, which are becoming widespread and increasingly important today and shed light on future researches.

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Section: Discussionmentioning

confidence: 99%

Section: Se Ia and Fomo In Online Learning Environmentmentioning

confidence: 99%

Examining the predictors of university students' engagement, fear of missing out and Internet addiction in online environments

Avcı

Kula

2022

ITP

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Role of Smart Phone Addiction, Fear of Missing Out on Perceived Competence among Secondary and Intermediate Students

Khan,

Hussain,

Batool

2023

JPAP

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The main goal of the study was to investigate the effects of SPA (smart-phone-addiction), FOMO (fear-of-missing-out) on PC (perceived competence) among secondary and intermediate students. The sample was comprised of 200 students from Multan's secondary and intermediate levels, their age range was 15 to 18 years old. The purposive sampling technique was used. The measure of smart phone addiction by Kwon et al. (2013) consisted of 10 items, Przybyiski et al. (2013) 10 items FOMO intervention, Ozer et al. (2016) PC (perceived-competence) scale consisting of 40 items were employed. Results indicated that smart phone addiction positively correlated with Fear-of-Missing-Out and had a negative relation with Fear-of-Missing-Out & PC (perceived competence). SPA (Smart-phone-addiction) has a significant impact on the fear of missing out. Smart-phone-addiction has an insignificant impact on perceived competence of cognitive, social and physical subscales through mediating effect of fear of missing out. Smartphone addiction has a significant impact on perceived competence of general self-worth and learning through mediation of fear-of-missing-out.

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Internet Addiction and Fear of Missing Out

Cited by 2 publications

References 18 publications

Examining the predictors of university students' engagement, fear of missing out and Internet addiction in online environments

Examining the predictors of university students' engagement, fear of missing out and Internet addiction in online environments

Role of Smart Phone Addiction, Fear of Missing Out on Perceived Competence among Secondary and Intermediate Students

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