scholarly journals Smartphone Use and Academic Performance: Correlation or Causal Relationship?

2018 ◽  
Author(s):  
Stijn Baert ◽  
Suncica Vujic ◽  
Simon Amez ◽  
Matteo Claeskens ◽  
Thomas Daman ◽  
...  
Kyklos ◽  
2019 ◽  
Vol 73 (1) ◽  
pp. 22-46 ◽  
Author(s):  
Stijn Baert ◽  
Sunčica Vujić ◽  
Simon Amez ◽  
Matteo Claeskens ◽  
Thomas Daman ◽  
...  

2010 ◽  
Vol 69 (2) ◽  
Author(s):  
S. O. Wajuihian ◽  
K. S. Naidoo

Eye care professionals have long been involved with vision and learning, and receive referrals from teachers, psychologists and other professionals who seek advice about whether vision problems may contribute to, or be responsible for, poor academic performance.  This is particularly the case when dealing with the relationship between vision and dyslexia, which has been a subject of controversy in optometric, ophthalmologic, educational and psychological literature. Ophthalmologists and optometrists in particular, hold different views on the association of dyslexia and vision, and there has been much debate regarding any causal relationship between them.  The results of studies that investigated the vision functions in dyslexic populations remain inconclusive.  This review is intended to provide an overview of studies to date and makes recommendation to guide future research.  (S AfrOptom 2010 69(2) 58-68)


2020 ◽  
Vol 31 (11) ◽  
pp. 1351-1362
Author(s):  
Andreas Bjerre-Nielsen ◽  
Asger Andersen ◽  
Kelton Minor ◽  
David Dreyer Lassen

In this study, we monitored 470 university students’ smartphone usage continuously over 2 years to assess the relationship between in-class smartphone use and academic performance. We used a novel data set in which smartphone use and grades were recorded across multiple courses, allowing us to examine this relationship at the student level and the student-in-course level. In accordance with the existing literature, our results showed that students’ in-class smartphone use was negatively associated with their grades, even when we controlled for a broad range of observed student characteristics. However, the magnitude of the association decreased substantially in a fixed-effects model, which leveraged the panel structure of the data to control for all stable student and course characteristics, including those not observed by researchers. This suggests that the size of the effect of smartphone usage on academic performance has been overestimated in studies that controlled for only observed student characteristics.


2017 ◽  
Vol 10 (1) ◽  
pp. 48 ◽  
Author(s):  
Jocelyne Boumosleh ◽  
Doris Jaalouk

BACKGROUND & OBJECTIVE: Smartphone use is almost universally relied on among college students. Whether smartphone addiction among college students has a negative predictive effect on academic performance is hardly studied. Previous research found an apparent association between smartphone use and academic achievement partly explained by the nature of the task the student is engaged in when using a smartphone. This study aims to assess the relationship between smartphone addiction and students’ academic performance controlling for important potential confounding variables.METHODS: A sample of 688 undergraduate students was randomly selected from Notre Dame University, Lebanon. Students were asked to fill out a questionnaire that included a) questions on variables related to socio-demographics, academics, smartphone use, and lifestyle behaviors; and b) a 26-item Smartphone Addiction Inventory (SPAI) Scale. Multiple logistic regression was performed to assess the independent association between smartphone addiction and cumulative grade point average (GPA).RESULTS: 49% reported smartphone use for at least 5 hours during a weekday. Controlling for confounding effects in the model, the association between total SPAI score and GPA did not reach statistical significance, whereas alcohol drinking (OR= 2.10, p=0.026), age at first use of smartphone (OR=1.20, p=0.042), use of smartphone for study-related purposes (OR=0.31, p=0.000), class (OR=0.35 (senior vs. sophomore standing), p=0.024), and faculty (ORs of 0.38 and 0.35 (engineering and humanities, respectively, vs. business students)) were found to be independent predictors of reporting a GPA of < 3.CONCLUSION: Findings from our study can be used to better inform college administrators and faculty about most-at- risk groups of students who shall be targeted in any intervention designed to enhance low academic performance.


2016 ◽  
Vol 34 (3) ◽  
pp. 480-499 ◽  
Author(s):  
Yong Jeong Yi ◽  
Soeun You ◽  
Beom Jun Bae

Purpose The purpose of this paper is to investigate the factors that influence college students’ smartphone use for academic purposes by identifying the task-technology fit (TTF) of smartphones. A research model is proposed to explain how TTF of smartphones affects college students’ perceived academic performance and smartphone use. Design/methodology/approach Online surveys were administered to college students at a South Korean university that has offered online academic services for more than five years, and 1,923 valid responses were analyzed. The study used partial least squares path modeling to evaluate the measurement model, and the bootstrapping technique to test the significance of the hypotheses. Findings The findings highlight that the TTF of smartphones has a direct influence on students’ perceptions of performance impact and an indirect influence on smartphone use through a precursor of utilization, such as attitude toward smartphone use, social norms and facilitating conditions. Research limitations/implications Despite a reasonably large sample, a single cross-sectional survey has a likelihood of selection bias in the sample. Practical implications This study applies the TTF model to smartphone use among college students and suggests an effective way to motivate them to use mobile technologies for their academic activities. Originality/value The present study develops an empirical model to assess the adoption of smartphones and its effect on college students’ academic performance. Above all, the study identifies a causal relationship among TTF, precursor of utilization, smartphone use and a perceived impact on academic performance based on the development and validation of the TTF constructs of smartphones.


2021 ◽  
Vol 8 (10) ◽  
pp. 1582
Author(s):  
Praveen Kumar R. S. ◽  
Kaki Aruna ◽  
Aravind Kumar ◽  
Venkatalakshmi P.

Background: Smartphones are unavoidable technology in this modern era. Though there are several advantages with the use of smartphones, there is another school of thought is that due to excessive use of smartphones and addiction behavior the academic performance of the students gets deteriorates. With this in background, this study was conducted to compare the use of smartphones with the student’s academic performances.Methods: This prospective cross-sectional study was conducted among the undergraduate medical students of Sri Venkateshwara medical college hospital and research institute, Puducherry, a tertiary care teaching hospital during the January 2019 to July 2019. A total of 370 students were included in this study. All were assessed for the demographic profile and questions related to usage of smart phones using a questionnaire. Data was analyzed using SPSS.Results: Sharing documents, assessing drug information, taking notes and reading journals articles and books was the academic reasons reported by 94.6%, 72.7%, 58.1% and 35.7% of participants, respectively. Among non-academic reasons games, social media and entertainments was recorded in 82.4% 75.4% and 33% of participants, respectively. Mean duration of smart phone usage in a day was 3.5 hours. However, there was no significant difference noted between the academic performance and use of smartphones.Conclusions: Though smartphone use has no significant impact on academic performance of medical students, with the view of steady increase in smartphone usage, there is a necessary for further monitoring, in order to prevent smartphone related complications like addiction.


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