• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.8
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• pp.248-256
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• 2017

This study was conducted to investigate the effects of life stress, depression, and smart-phone addiction on quality of life as well as to verify the variables related to quality of life and the factors contributing to quality of life among undergraduate students. The data were collected from 194 subjects at K university in G city using a self-administered questionnaire. T-test, one-way ANOVA, Pearson's correlation coefficients, and multiple regression were used to analyze the data. As a result, mean scores of life stress, depression, smart-phone addiction, and quality of life were $62{\pm}.33$, $24{\pm}.3$, $2.59{\pm}.63$, and $3.48{\pm}.54$, respectively. There was a negative correlation between life stress, depression, smart-phone addiction, and quality of life. The factors influencing quality of life were life stress, depression, and smart-phone addiction. Based on these findings, it is necessary to improve quality of life and multidisciplinary interventions in order to reduce life stress, depression, and smart-phone addiction in undergraduate students. These findings contribute to the development of a program to improve quality of life among undergraduate students.

• Journal of the Korea Society of Computer and Information
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• v.20 no.9
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• pp.147-153
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• 2015

This Study is to test the causal relationships among university student's stress, personal relationships and psychological anxiety, and then suggest some theoretical and policy implications basing on the analytical results. For the purpose of this study, survey targeting on 416 university students was conducted. The analytical results of this study showed that psychological anxiety moderates the relation between the stress, personal relationship and smart phone addiction. This study suggested some implications basing on this analytical results.

• Korean System Dynamics Review
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• v.16 no.3
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• pp.77-96
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• 2015

This study aims to forecast of the number of smart phone addicted youths and to evaluate the effect of rehabilitation programs. A system dynamics model is developed to describe the processes of addiction and transits between phases as well as the diffusion of smart phones. The youths are grouped into non users, general users, potential risky users, and high risky users. The model utilizes the population distributions over ages for the next 30 years forecasted by Korean Government. The number of youths decreases for the next decade or so, and the number of youths who owns smart phone will reach maximum at 2017. As for the rehabilitation programs, the model includes the preventive education for general users, counseling for potential risky users, and professional therapy for high risky users. The preventive education restricts the transit from general users to potential risky users. Counseling increases the transit from potential risky users to general users while it decreases the transit to high risky users. Professional therapy improves transit to potential risky users and to general users. Although the model cannot be validated the accuracy owing to the lack of data, it describes these transit within the reasonable ranges and can be used to study the allocation of the limited resources to maximize the outcome.

• Journal of dental hygiene science
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• v.15 no.6
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• pp.761-767
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• 2015

A survey was conducted to investigate the association between smart phone use and smart phone addiction in 515 dental hygiene college students. Statistical analyses were conducted using the PASW 18.0 program for Windows. Statistical significance was accepted when p<0.05. The association level was confirmed high in the cases of wide network of friends, and in the provincial areas. The independent parameters that negatively affected smart phone addiction were the wide network of friends, long duration of smart phone use, study attitude, and poor adaptability to campus life.

• Journal of the Korean Society of School Health
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• v.28 no.3
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• pp.200-210
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• 2015

Purpose: This study aimed to examine the use of smart phones and their relationship with self-efficacy and academic achievement among students in 5th to 6th grade. Methods: 954 students in $5^{th}$ to $6^{th}$ grade were selected from three elementary schools in K City through purposive sampling. Data of 591 respondents were analyzed by $x^2$ test, ANOVA, correlation analysis and multiple regression analysis using the SPSS/WIN program. Results: First, 64% of the students possessed a smart phone and female students used their phone more than male students. 47.5% of the students said they first used a smartphone in their $5^{th}$ grade and 11.7% said in their 6th grade. Second, heavier use of smart phones was related to a lower level of self-efficacy (p<.001). Third, the more the students used a smart phone, the less they achieved in academic performance (Korean language: p<.001, mathematics: p<.01). Finally, the biggest factor influencing smart phone addiction was longer use of smart phones. In addition, lower self-efficacy and lower ability to adapt to difficult tasks were the factors influencing the increase in smart phone addiction. Less use of smart phones and higher self-efficacy resulted in higher achievement in academic performance. Conclusion: It is essential to decrease students' use of smart phones and improve their self-efficacy and academic performance. Intervention programs to reduce the use of smart phones should include a profound interest, a personality-oriented educational environment and sufficient dialogues with students at home, schools and the local society, beyond simple regulations to prevent adverse effects.

• The Journal of Korean Association of Computer Education
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• v.16 no.6
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• pp.21-32
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• 2013

Since creativity has been emphasized and creative problem solving has also been a big topic recently, various kinds of research works have proceeded. Among them, this paper focuses on abstract thinking and growth mindset, which affect on problem solving. Also, this paper analyzes what kinds of relationships time perspectives and smart-phone addiction have with the two factors and how they influence on them. In order to do so, we survey on 441 primary, middle, high school, and college students. Our analysis results cover the relationships among the two factors, smart-phone addiction level, present-hedonic perspective, and future time perspective. In addition, we analyze the relationship among the factors with a structural equation model. By doing these, we propose educational alternatives in terms of time and plan to improve our adolescent's abstract thinking level, which helps their problem solving skills and their academic achievement.

• The Journal of the Korea Contents Association
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• v.18 no.8
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• pp.594-606
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• 2018

The purpose of this study is to examine the mediating effect of positive psychological capital as an protective factor and mental health as an risk factor on the relationship between smart phone addiction and self life management of university students. The following are the results of the analysis on the measures of smart-phone addiction, positive psychological capital, mental health and self life management among the 266 college students. First, the analysis of the correlation between relevant factors, smart-phone addiction showed a significant amulet correlation between self life management and positive psychological capital and a significant static correlation between mental health. Second, the positive psychological capital showed a mediate effect as a result of the analysis of university students' smart-phone addiction and self life management. Third, the results of a regression analysis between positive psychological capital and psychosomatic health sub-factors, optimism and resilience in the positive psychological capital and Depression and Impulsion in mental health, had a significant impact on managing self-life management Based on the results of this study, we discussed educational implications for the management of university students ' lives and suggestions for further research.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.557-569
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• 2013

This study was conducted to identify factors related to subjective happiness Index and by analyzing students, health behavior, smart phone addiction, suicidal Ideation, and in order to develop appropriate measure tp prevent suicide among university students. Methods: From November 19, 2012 until December 14, 2012, 300 college students from one of the iniversities located at K city were surveyed. Data were analyzed using with SPSS window 18.0. Results: The mean score for college students' subjective happiness Index was 4.58 on a scale of 7. There were significant differences on the Subjective happiness Index for the following areas: sex, parental survival & living and household monthly income. There was a negative correlation among the subjective happiness Index, smart phone addiction, suicidal Ideation. Conclusion: Results indicate that factors influencing Subjective happiness are smart phone addiction, suicidal ideation. We suggest that need to establish policies providing family support, smartphone addiction prevention program suicide prevention program to improve a level of happiness.

• Journal of radiological science and technology
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• v.41 no.4
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• pp.345-349
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• 2018

The study analyzed questionnaires of 431 radiologists in the field of radiology for identifying the effects of smartphone addiction on self-control for college students using smartphones. The results showed that the standard of living for smartphone addiction was higher for middle-income brackets, and that for girls, it was high for gender. Male students showed high self-control among men and women, while those who are not addicted to smartphones showed high levels of self-control among non-addicted people. In addition, the results of correlation are gender and smartphone addiction (r=.221, p<.001) showed a static correlation between smartphone and self-control (r=-.371, p<.001) It has been found that there is a negative correlation. Based on the results of this study, it is expected that university students will be able to improve their program development and self-control ability to prevent smartphone addiction and will be used as basic data for prevention education.

• The Journal of Korean Association of Computer Education
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• v.17 no.3
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• pp.1-10
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• 2014

Smartphone addiction and internet addiction cause a serious negative social problem due to the spread of the new media which is combined with the ubiquitous function. To evaluate the degree of Internet addiction and smartphone addiction of college students in the nearby areas, K-scale of internet addiction self-diagnosis scale and S-scale of smartphone addiction self-diagnosis scale for Korean adults were applied. This study aims to develop the survey questions, which get the basic internet patterns and access the web site, and to find the hidden addicts that is not found by general K-scale and S-scale using computers and smartphones. The result shows that a method of addiction diagnosis using the tolerance degree which is calculated by smart phone's internet main activities and using time(anticipated and real time) apart from K-scale and S-scale. So hidden internet and smartphone addicts could be found through the SPSS statistical analysis program.