scholarly journals Smartphone Addiction among University Students and Its Relationship with Academic Performance

2017 ◽  
Vol 10 (1) ◽  
pp. 48 ◽  
Author(s):  
Jocelyne Boumosleh ◽  
Doris Jaalouk
Keyword(s):  
College Students ◽  
Academic Performance ◽  
Undergraduate Students ◽  
Business Students ◽  
Statistical Significance ◽  
Risk Groups ◽  
Smartphone Addiction ◽  
Lifestyle Behaviors ◽  
Grade Point ◽  
Smartphone Use

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.

Smartphone addiction and the relationship with head and neck pain and electromiographic activity of masticatory muscles

Work ◽  
2021 ◽  
pp. 1-8
Author(s):  
Fabiana Foltran Mescollotto ◽  
Érica Brito Gonçalves ◽  
Ester Moreira de Castro Carletti ◽  
Ana Beatriz Oliveira ◽  
Elisa Bizetti Pelai ◽  
...  
Keyword(s):  
College Students ◽  
Neck Pain ◽  
Head And Neck ◽  
Muscle Activity ◽  
Neck Region ◽  
Masticatory Muscles ◽  
Smartphone Addiction ◽  
Before And After ◽  
Smartphone Use ◽  
The Right

Background: Excessive use of smartphones may be associated with behavioral and physical health changes and might cause musculoskeletal alterations in the head and neck region. Objective: To evaluate the prevalence of smartphone addiction in college students and its correlation with symptoms of head and neck pain and masticatory and trapezius muscle activity while resting, before and after smartphone use. Methods: Twenty university students participated in the study. They answered the Smartphone Addiction Scale and the Fonseca Anamnestic Index. Next, the participants were seated and prepared for electromyography through the placement of surface electrodes on the masseter, temporal, and trapezius muscles. Rest condition data were collected for 10 seconds before and after 30 minutes of smartphone use. Results: The results showed that 35% of the evaluated individuals were classified as smartphone addicted and 35% reported no head or neck pain in the previous 30 days. There was no association between smartphone use and head and neck pain. In the electromyography, there was an increase in RMS values after smartphone use in the right and left masseter muscles and the left trapezius. Conclusion: College students presented a high prevalence of smartphone addiction and head and neck pain, but these were not statistically associated. There was a change in muscle activity only in the right trapezius muscles before and after 30 minutes of smartphone use. These findings are contrary to the current belief that the use of smartphones correlates with pain in the neck region and changes in the electrical muscle activity, leading to fatigue in the cervical muscles.

scholarly journals Associations between changes in behavioral difficulties and levels of problematic smartphone use in adolescents over a 1-year period

2021 ◽  
Author(s):  
Tanja Poulain ◽  
Mandy Vogel ◽  
Tobias Kliesener ◽  
Wieland Kiess
Keyword(s):  
Economic Status ◽  
Statistical Significance ◽  
Behavioral Difficulties ◽  
Smartphone Addiction ◽  
Cross Sectional ◽  
Problematic Smartphone Use ◽  
Smartphone Use ◽  
Strengths And Difficulties ◽  
T1 And T2

Abstract Objectives The present longitudinal study investigates associations between changes in externalizing and internalizing behavioral difficulties and changes in problematic smartphone usage within the same 1-year period in healthy adolescents. Methods The project is part of the LIFE Child cohort study conducted in Leipzig, Germany. Ten- to 16-year-old adolescents (n = 363) provided information on behavioral difficulties [Strengths and Difficulties Questionnaire (SDQ)], the duration of daily smartphone use, and symptoms of smartphone addiction [Smartphone Addiction Proneness Scale (SAPS)] at two consecutive study visits, t1 and t2 (1 year after t1). In the first of two analysis phases, we applied linear regression analyses to assess cross-sectional associations between externalizing and internalizing behavioral difficulties and the duration of smartphone use and symptoms of smartphone addiction (at t1 and t2). In the second, we assessed associations between the changes measured in these variables over the period of a year. All associations were adjusted for age, sex, and soci-economic status. Results Children who reported prolonged periods of smartphone use or more symptoms of smartphone addiction exhibited significantly higher levels of externalizing and internalizing behavioral difficulties at t1 and t2. Further, children who increased their usage or developed addiction symptoms between t1 and t2 also developed more externalizing behavioral difficulties. We found the same tendencies in regard to internalizing behavioral difficulties, although the associations did not reach statistical significance. Conclusions The present findings suggest that externalizing behavioral difficulties and problematic smartphone use are mutually dependent in the long term.

scholarly journals Relationship of Academic Performance and Academic Self-Concept with Career Decision-Making among UPM Undergraduate Students

2021 ◽  
Vol 17 (2) ◽  
pp. 50
Author(s):  
Siti Nadhirah Mohd Zaini ◽  
Ahmad Aizuddin Md Rami ◽  
Nurazidawati Mohamad Arsad ◽  
Mohd Ashraff Mohd Anuar
Keyword(s):  
Decision Making ◽  
Academic Performance ◽  
Undergraduate Students ◽  
Career Paths ◽  
Structural Equation ◽  
Career Decision ◽  
Self Concept ◽  
Cluster Sampling ◽  
Career Decision Making ◽  
Grade Point

Abstract: Choosing the right career paths relevant to their future is probably one of the most challenging decisions confronting the majority of adolescents. Hence, recognition of the factors affecting students’ career decisions is more important than ever. This study aimed to investigate the effects of academic performance and academic self-concept in relation to career decision-making among UPM undergraduate students. A quantitative research design using a questionnaire was utilised. The questionnaire, one touching on academic self-concept and the other on career decision-making, was disseminated to the respondents via emails and through social network services in the form of Google Forms. For data on academic performance, the researcher based it on the students’ current Cumulative Grade Point Average (CGPA) results. The Multi-stage cluster sampling method was employed to a total of 171 final-year undergraduates from Universiti Putra Malaysia (UPM). The data were analysed using SmartPLS 3. The result of partial least squares structural equation modelling (PLS-SEM) revealed that the students’ academic self-concept directly and significantly affects their career decision-making. However, there is no direct relationship between academic performance and career decision-making. This study found that developing students’ academic self-concept can assist them to decide on their career paths.   Keywords: Academic achievement, Academic self-concept, Career choice, Higher education

scholarly journals Is Smartphone Addiction Associated with a Younger Age at First Use in University Students?

2018 ◽  
Vol 10 (2) ◽  
pp. 134 ◽  
Author(s):  
Doris Jaalouk ◽  
Jocelyne Boumosleh
Keyword(s):  
University Students ◽  
Undergraduate Students ◽  
Predictor Variable ◽  
Subsequent Development ◽  
Sociodemographic Factors ◽  
Independent Effect ◽  
Smartphone Addiction ◽  
Younger Age ◽  
Smartphone Use ◽  
Independent Association

BACKGROUND: Recent evidence highlighted the potential of habitual smartphone use among youth to become an addiction analogous to established behavioral and substance-related addictions. While investigators revealed independent predictive effects of several sociodemographic factors, personality traits, psychological conditions, and smartphone usage patterns on smartphone addiction (SPA) in university students, none examined the independent effect of age at first smartphone use, a potential predictor variable, on subsequent development of SPA.OBJECTIVE: This study aims to examine the independent association between age at first smartphone use and SPA score in a sample of 688 Lebanese undergraduate university students.METHODS: A random sample of 688 undergraduate students selected from Notre Dame University, Lebanon filled out survey forms that included a) questions on socio-demographics, academics, smartphone use, personality type, depression, anxiety, and lifestyle habits; b) 26-item Smartphone Addiction Inventory (SPAI) Scale. Multiple linear regression analyses were used to examine the independent association between age at first use and SPA level.RESULTS: Mean age at first smartphone use was about 15 years. Younger age at first use of smartphone was found to be significantly associated with several SPA symptoms and correlated with higher total SPAI score. In the unadjusted regression model, higher total SPAI scores were found to be significantly associated with younger age at first smartphone use. This association remained significant in the partially adjusted model, but disappeared in the fully adjusted one when controlling additionally for smartphone use habits.CONCLUSION: Younger age at smartphone use did not independently predict SPA in this sample of students.

Career Development Courses and Educational Outcomes

2016 ◽  
Vol 44 (3) ◽  
pp. 209-223 ◽  
Author(s):  
Jamie M. Hansen ◽  
Aaron P. Jackson ◽  
Tyler R. Pedersen
Keyword(s):  
College Students ◽  
Career Development ◽  
Undergraduate Students ◽  
Educational Outcomes ◽  
Graduation Rate ◽  
Grade Point Averages ◽  
Grade Point ◽  
Career Course ◽  
The Impact ◽  
Development Course

Research suggests that career development courses have positive impacts on college students’ career development outputs. What is less established is the impact of these career courses on educational outcomes like retention, graduation rate, and academic performance. This study compared two groups of undergraduate students: one that successfully completed a career development course ( n = 3,546) and a matched group of students who did not take the career course ( n = 3,510). The groups were compared on graduation rate, time to graduation, course withdrawals, and cumulative grade point averages (GPAs). The career development course was not a significant predictor of graduation within 6 years, the number of semesters to graduate, or the number of withdrawals incurred. However, the career development course did significantly predict the total number of credits (participants graduated with about five more credits) and cumulative GPA at graduation (participants graduated with higher GPAs).

scholarly journals Modeling Student’s Academic Performance During Covid-19 Based on Classification in Support Vector Machine

2021 ◽  
Vol 12 (5) ◽  
pp. 1798-1804
Author(s):  
Nor Ain Maisarah Samsudin, Et. al.
Keyword(s):  
Support Vector Machine ◽  
Academic Performance ◽  
Undergraduate Students ◽  
Movement Control ◽  
Polynomial Kernel ◽  
Support Vector ◽  
Linear Kernel ◽  
Grade Point ◽  
Before And After ◽  
And Mathematics

This study proposed a statistical investigate the pattern of students’ academic performance before and after online learning due to the Movement Control Order (MCO) during pandemic outbreak and a modelling students’ academic performance based on classification in Support Vector Machine (SVM). Data sample were taken from undergraduate students of Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris (UPSI). Student’s Grade Point Average (GPA) were obtained to developed model of academic performances during Covid-19 outbreak. The prediction model was used to predict the academic performances of university students when online classes was conducted. The algorithm of Support Vector Machine (SVM) was used to develop a model of students’ academic performance in university. For the Support Vector Machine (SVM) algorithm, there are two important parameters which are C (misclassification tolerance parameter) and epsilon  need to identify before proceed the further analysis. The parameters was applied to four different types of kernel which is linear kernel, radial basis function kernel, polynomial kernel and sigmoid kernel and the result was found that the best accuracy achieved by SVM are 73.68% by using linear kernel and the worst accuracy obtained from a sigmoid kernel which is 67.99% with parameter of misclassification tolerance C is 128 and epsilon is 0.6.

Self-Concept of Ability and College Students' Academic Achievement

1978 ◽  
Vol 43 (1) ◽  
pp. 37-38 ◽  
Author(s):  
Robert J. Griffore ◽  
Douglas D. Samuels
Keyword(s):  
College Students ◽  
Academic Achievement ◽  
Grade Point Average ◽  
Undergraduate Students ◽  
Self Concept ◽  
Final Examination ◽  
Grade Point ◽  
The Relationship

To determine the relationship between college students' academic self-concept and academic achievement, Brookover's Self-concept of Ability Scale was administered to 100 undergraduate students in psychology. High moderate correlations were obtained between academic self-concept and over-all grade-point average (.58), but the correlation between academic self-concept and a final examination, although significant, was relatively low (.26).

scholarly journals Insomnia among Medical and Paramedical Students in Jordan: Impact on Academic Performance

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Mohammad Alqudah ◽  
Samar A. M. Balousha ◽  
Othman Al-Shboul ◽  
Ahmed Al-Dwairi ◽  
Mahmoud A. Alfaqih ◽  
...  
Keyword(s):  
College Students ◽  
Academic Performance ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Age Groups ◽  
Deep Understanding ◽  
Social Consequences ◽  
Future Research ◽  
Cross Sectional ◽  
Grade Point

Background. Insomnia is a problem that is common in all societies and age groups. However, its importance is increasing between students especially with the highly competitive and demanding environment surrounding them even after their graduation. In spite of the deep understanding of its health and social consequences, the frequency of insomnia among medical students in Jordan was not determined. Aim. To determine the prevalence of sleep disturbances among college students and to look for any association between sleep disturbances and students’ academic achievement. Methods. This is a cross-sectional self-administered questionnaire-based study. The participants were college students of the medical and paramedical specialties. Insomnia Severity Index (ISI) was used and the academic performance was assessed using students’ Cumulative Grade Point Average (CGPA). Results. There were 977 responses. Prevalence of clinical insomnia was 26.0%. Students who self-reported good sleep quality had significantly lower ISI scores compared with those who self-reported bad quality of sleep. Students who slept >7 hours had significantly less ISI scores than students who slept <6 hours. Students who had a CGPA more than or equal to 3 had significantly lower ISI scores compared with those who had a CGPA less than 2.5. Self-reported sleep quality was associated with the CGPA. Conclusion. A high prevalence of insomnia was found in this group of students. Academic performance was significantly associated with ISI scores and self-reported sleep quality. These results might be useful for future research into the development of interventional strategies to help students get enough sleep quality and quantity.

The influence of smartphones on academic performance

2016 ◽  
Vol 34 (3) ◽  
pp. 480-499 ◽  
Author(s):  
Yong Jeong Yi ◽  
Soeun You ◽  
Beom Jun Bae
Keyword(s):  
College Students ◽  
Academic Performance ◽  
Measurement Model ◽  
Mobile Technologies ◽  
Path Modeling ◽  
Cross Sectional Survey ◽  
Performance Impact ◽  
Cross Sectional ◽  
Content Type ◽  
Smartphone Use

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.

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