The relationship between smartphone use and students` academic performance

Teachers' competence: How to protect teachers' mental health from the burden caused by students' private in-class use of technical devices?

The current study investigated how students' private in-class use of technical devices is associated with teachers' mental health. Data of 361 teachers from primary and secondary schools in Germany were assessed via online surveys. The present cross-sectional results show a positive association between burden caused by the students' private in-class use of technical devices and teachers' depression symptoms. Both were negatively linked to teachers' positive mental health (PMH) and teachers' competence in handling students' private in-class use of technical devices. In a moderated mediation analysis, the association between burden and depression symptoms was mediated by PMH. Teachers' competence moderated the link between PMH and depression symptoms. Specifically, the higher the competence, the weaker the relationship between both variables. Thus, the protective effect of teachers' competence could be especially important in persons with low PMH. Competence training in handling students' use of technical devices is discussed as a potential step that could protect teachers' mental health.

Social pressures and their impact on smartphone use stickiness and use habit among adolescents

Excessive smartphone use has become a growing issue among adolescents as they develop mentally and socially. While researchers have examined individual and technological predictors of smartphone addiction, few studies consider broader societal influences. This study explored how social pressures such as mimicry, coercion, and norms impact persistent conscious smartphone use (use stickiness) and unconscious smartphone use (use habit). A survey was administered in two phases to 309 college students at a university in Southern China to gather data on perceptions of social influences and their degree of smartphone overuse. The relationships were analysed using a structural equation model. The study confirms the impact of three social pressures - mimetic, coercive and normative - on adolescents' degree of smartphone overuse (use stickiness and use habit). The mimetic pressure positively impacted use stickiness but not use habit. The coercive pressure positively impacted both the use stickiness and the use habit. The normative pressure positively impacted use habit but not use stickiness. This study provides a novel perspective on overlooked social drivers of problematic smartphone tendencies among youth. Our study also provides insights for educators, parents, and policymakers to more effectively intervene in adolescent smartphone overuse.

Earlier smartphone acquisition negatively impacts language proficiency, but only for heavy media users. Results from a longitudinal quasi-experimental study

There is a growing debate about the proper age at which teens should be given permission to own a personal smartphone. While experts in different disciplines provide parents and educators with conflicting guidelines, the age of first smartphone acquisition is constantly decreasing and there is still limited evidence on the impact of anticipating the age of access on learning outcomes. Drawing on two-wave longitudinal data collected on a sample of 1672 students in 2013 (at grade 5) and 2016 (at grade 8), this study evaluates whether obtaining the first personal smartphone at 10 or 11 years old, during the transition to lower secondary school (early owning), affected their language proficiency trends compared to receiving it from the age of 12 onwards (late owning). Results indicate an overall null effect of smartphone early owning on adolescents' language proficiency trajectories, while a negative effect is found on those who were already heavy screen media users before receiving the device.

The relationship between anxiety and depression with smartphone addiction among college students: The mediating effect of executive dysfunction

Smartphone addiction symptom is increasing globally. Many studies have found that negative emotion is associated with smartphone addiction, but few explore the mediating effect of executive dysfunction. In a large-scale, cross-sectional survey, 421 Chinese college students completed measures on anxiety, depression, smartphone addiction, and executive dysfunction. We surveyed the prevalence of depression, impaired executive function, and smartphone addiction. A confirmatory factor analysis was performed on the questionnaire structure, and the mediation models were used to examine the relationship between anxiety, depression, impaired executive function, and smartphone addiction. The main finding indicated that anxiety, depression, and executive dysfunction were positively and significantly associated with smartphone addiction. Executive dysfunction plays a mediation role between anxiety and depression with smartphone addiction. Specifically, executive dysfunction completely mediates the pathway of anxiety and smartphone addiction and partly mediates the path of depression and smartphone addiction. Depression directly predicted smartphone addiction positively but anxiety did not. The sample consisted of Chinese college students, which limits generalizability and self-reported lack of objectivity. The result suggests that we should pay more attention to the mediating role of executive dysfunction between negative emotion and smartphone addiction.

Cell phone use distracts young adults from academic work with limited benefit to self-regulatory behavior

We aim to uncover theoretical mechanisms associated with potential negative (i.e., multitasking) and positive (i.e., self-regulation) aspects of cell phone use (CPU) for academic performance in young adults. We hypothesized that, according to the Switch-Load Theory, repeated CPU during academic activities (CPU_Multitasking) would relate negatively, whereas, according to Zimmerman's Theory of Self-Regulated Learning, CPU for self-regulated learning behaviors (CPU_SRLBehavior) would relate positively to the academic performance of undergraduate students. 525 (75.4% female) undergraduate students from a large public university participated in this study during fall 2019 by completing validated quantitative surveys accessing their CPU and academic performance. Spearman's rho was used to compute the correlations and hierarchical regression was used to analyze the variance. Spearman rank-order coefficient showed that CPU_Multitasking relates negatively, but CPU_SRLBehavior is unrelated to the college GPA of undergraduate students. Hierarchical regression showed that CPU_Multitasking was not a significant predictor of academic performance. Young adults who switch to their cell phones during class or study-related activities are more likely to have lower performance in exams as CPU_Multitasking costs time and efficiency (Switch Load Theory). Young adults who use their cell phones for self-regulated learning behavior are less likely to have an impact on their academic performance as CPU_SRLBehavior helps regulate habits but not learning processes. With the known theoretical mechanisms for CPU multitasking and SRL Behavior, this study provides a guiding document for educational computing system practitioners to explore more theory-driven empirical approaches in the field of CPU and academic success.

Loneliness and academic performance mediates the relationship between fear of missing out and smartphone addiction among Iranian university students

BACKGROUND

Fear of missing out (FoMO) can increase loneliness and smartphone addiction and decrease academic performance in university students. Most studies investigated the relationship between FoMO and smartphone addiction in developed countries, and no studies were found to examine this association in Iran. The mediating role of loneliness and academic performance in the relationship between FoMO and smartphone addiction is unclear. This study investigated the relationship between FoMO and smartphone addiction and the mediating role of loneliness and academic performance in this relationship in Iranian university students.

METHODS

In this cross-sectional study, 447 students from Urmia University of Medical Sciences were investigated. Data were collected using demographic questionnaires, Przybylski's FoMO scale, Pham and Taylor's academic performance questionnaire, Russell's loneliness scale, and Kwon's smartphone addiction scale. Data were analyzed using SPSS ver. 23 and SmartPLS ver. 2.

RESULTS

FoMO had a positive and direct association with smartphone addiction (β = 0.315, t-value = 5.152, p < 0.01). FoMO also had a positive and direct association with students' loneliness (β = 0.432, t-value = 9.059, p < 0.01) and a negative and direct association with students' academic performance (β = -0.2602, t-value = 4.201, p < 0.01). FoMO indirectly associated with smartphone addiction through students' loneliness (β = 0.311, t-value = 5.075, p < 0.01), but academic performance was not mediator of smartphone addiction (β = 0.110, t-value = 1.807, p > 0.05). FoMO also indirectly correlated with academic performance through students' loneliness (β =-0.368, t-value = 6.377, p < 0.01).

CONCLUSIONS

FoMO can be positively associated with students' smartphone addiction, and loneliness is an important mediator of this association. Since smartphone addiction could harm students' academic performance, thus, healthcare administrators should reduce students' loneliness and improve their academic performance by adopting practical strategies to help students to manage their time and control their smartphone use. Holding self-management skills classes, keeping students on schedule, turning off smartphone notifications, encouraging students to engage in sports, and participating in group and family activities will help manage FoMO and loneliness.

Examining the Relationship of Information and Communication Technologies Use and Reading Literacy: A Moderated-Mediation Analysis of Metacognition Across Information and Communication Technologies Use Intensity

The use of information and communication technologies (ICT) is increasingly becoming prevalent among students, both at home and school. While inconsistent results were found for student ICT use and reading literacy, this study attempted to explain these ambiguous links with the moderation of ICT use intensity and mediation of metacognition. Three moderated mediation models for each type of ICT use (at home for entertainment activities and for schoolwork, as well as at school) were analyzed using a Hong Kong sample taken from the Programme for International Student Assessment (PISA) 2018 data pertaining to 5180 15-year-old students from 152 schools. A dynamic effect pattern was found for the links of all ICT use types and reading literacy with the increasing intensity of ICT use, which begins with a positive effect followed by a decrease to less positive, then turns to fluctuating negative and finally ends up with a stable negative effect. But the dominant effect varies across ICT use intensity, which result in different overall effects of three ICT use types. In addition, all three aspects of metacognition showed a profound negative mediation on links of intensive and excessive ICT use with reading literacy, and a less positive mediation for limited ICT use. The metacognition of assessing credibility showed a more important role than summarizing, which was followed by understanding and remembering. In light of the findings, the study recommended that more metacognitive scaffolds should be developed for students with intensive or excessive ICT use, so as to alleviate the side effects of ICT use on their reading literacy.