Revisiting the relationship between smartphone use and academic performance: A large-scale study

How physical exercise influences academic burnout among Chinese "Double Non" college students: the chain mediation role of mobile phone addiction and learning engagement

Background

With mental anxiety caused by the COVID-19 pandemic, the trend of "lying down" has become increasingly prevalent among Chinese college students such as not thinking ahead, decadent abandonment, and being weak daily. Particularly, Chinese "Double Non" college students are more likely to face academic burnout (AB) due to lower school satisfaction and after-degree employment ratio, in comparison to "Double First-Class" college students.

Objectives

In view of this, the present study examined the structural relationships of physical exercise (PE), mobile phone addiction (MPA), learning engagement (LE), and AB among Chinese "Double Non" college students, aiming at exploring corresponding mechanism to provide supportive guidance for alleviating potential AB.

Methods

This study adopted a cross-sectional survey approach among the sample of "Double Non" college students in China. We recruited 930 participants (272 men and 658 women) in the second half of the 2022-2023 academic year, all of whom completed questionnaires involving Physical Exercise Rating Scale, Mobile Phone Dependence Index Scale, Utrecht Work Engagement Scale-Student, and Maslach Burnout Inventory-Student Survey. A series of statistical analyses, including descriptive statistics, bivariate correlations, and direct and indirect effects among study variables, were proceeded based on the collected data.

Results

The results showed that PE can not only directly and negatively influence AB, but also indirectly and negatively influence AB through the mediation of MPA as well as the chain mediation of both MPA and LE. While PE had no significantly indirect effect on AB via LE.

Discussion

Physical exercise was proved to be an effective way to reduce MPA and then enhance LE, consequently leading to decreased AB in Chinese "Double Non" college students. The findings were discussed in light of related research, and implications and future directions were put forward for application in potential theoretical research and educational practice.

A Holistic Investigation of the Relationship between Digital Addiction and Academic Achievement among Students

Digital addiction (DA), an umbrella term referring to addiction to any type of digital media, such as the internet, smartphone, digital games, and social media, is a significant factor influencing students' academic achievement (AA). Many scholars have contributed to this line of research from around the world. Nevertheless, the literature lacks a holistic investigation of how the DA-AA research field evolved, which could guide future studies. The current study aims to address this void and conducts a combined bibliometric and science mapping analysis of research addressing the relationship between DA and AA. Data were retrieved from the WoS database, considered one of the optimal databases for such studies with its comprehensive coverage of quality journals. One hundred eighteen articles were included in the final dataset and were analyzed using the SciMAT software, which allowed analysis over three consecutive periods and yielded comparable results regarding the conceptual and thematic evolution of the DA-AA domain. The results indicated an increased research interest in the topic, especially during the last five years. The science mapping analysis showed that the most-studied types of addiction were smartphone addiction for the first two periods and social media addiction for the last. Research in the DA-AA domain which focused on understanding the addictive use of smartphones during the first period, evolved to address factors such as self-efficacy or life satisfaction leading to smartphone addiction and lower grades. During the third period, the number of factors addressed gained significant variety and covered family-related and personal factors.

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 impact of smartphone use on learning effectiveness: A case study of primary school students

This study investigated the effects of smartphone use on the perceived academic performance of elementary school students. Following the derivation of four hypotheses from the literature, descriptive analysis, t testing, one-way analysis of variance (ANOVA), Pearson correlation analysis, and one-way multivariate ANOVA (MANOVA) were performed to characterize the relationship between smartphone behavior and academic performance with regard to learning effectiveness. All coefficients were positive and significant, supporting all four hypotheses. We also used structural equation modeling (SEM) to determine whether smartphone behavior is a mediator of academic performance. The MANOVA results revealed that the students in the high smartphone use group academically outperformed those in the low smartphone use group. The results indicate that smartphone use constitutes a potential inequality in learning opportunities among elementary school students. Finally, in a discussion of whether smartphone behavior is a mediator of academic performance, it is proved that smartphone behavior is the mediating variable impacting academic performance. Fewer smartphone access opportunities may adversely affect learning effectiveness and academic performance. Elementary school teachers must be aware of this issue, especially during the ongoing COVID-19 pandemic. The findings serve as a reference for policymakers and educators on how smartphone use in learning activities affects academic performance.

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.