• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.435-442
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• 2023

This study is a descriptive survey study to confirm the degree of depression, self-efficacy, life stress and smartphone addiction of nursing college students, and to identify their correlations and influencing factors. The study subjects had 15.85 points of depression, 3.19 points of self-efficacy, 2.47 points of life stress, and 39.23 points of smartphone addiction. As a result of analyzing smartphone addiction according to the general characteristics of the subjects, there was no statistically significant difference in grade and major, and there were significant differences in gender(t=-2.540, p=.014), grade(F=3.080, p=.029), smartphone importance(F=16.192, P<0.001), smartphone usage time (F=6.938, P<0.001). The subject's smartphone addiction showed a positive correlation with depression (r=.351, p<0.01), life stress (r=.321, p<.001), and self-efficacy (r=-.383, p<.001) showed a negative correlation. A negative correlation was found between depression and self-efficacy (r=-.529, p<.001), and a positive correlation was found between life stress (r=.568, p<.001). A negative correlation was found between self-efficacy and college life stress (r=-.434, p<.001). Self-efficacy appeared to be an influential factor in the subject's smartphone addiction. The goal is to provide basic data for programs and education to improve college students' self-efficacy.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.1
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• pp.70-76
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• 2010

In this paper, we propose a personalized Chinese character education system using RankBoost algorithm on a smartphone. In a typical Chinese character education scenario, a trainee is supplied with a finite number of Chinese characters as an input set in the beginning. And, as the training session repeats, the trainee will notice her/his difficult characters in the set which she/he hardly answers. Those characters reflect their personalized degrees of difficulty. Our proposed system constructs these personalized degrees of difficulty using RankBoost algorithm. In the beginning, the algorithm start with the set of Chinese characters, of which each is associated with the same weight values. As the training sessions are repeated, the algorithm increase the weights of Chinese characters that the trainee mistakes, thereby eventually constructs the personalized difficulty degrees of Chinese characters. The proposed algorithm maximizes the educational effects by having the trainee exposed to difficult characters more than easy ones.

• Journal of Advanced Navigation Technology
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• v.18 no.1
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• pp.101-106
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• 2014

Smart TV is to form a market of new industries along with the smartphone that appeared in the early 2000s. With the development of IT technology and the emergence of smart phones, user to pursue the application of high satisfaction. The smartphone has to meet the needs of the user in a variety of applications. However, Smart TV which led to a decrease in the development of a member of the application that reflect the needs of the user. Smart TV is popularized, the approach may be used instead of the application of high specification, the smart TV feel to be a smart are required to meet the needs of the user. Therefore in this paper, using the latest IT technology to provide a smart TV applications. This provides a feeling in conjunction as a system of one smart TV, smartphone, the exercise bike like to travel the distance of the actual user. For this reason to use WebOS, HTML5, Web sockets, the technology of Android.

• Journal of The Korean Association of Information Education
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• v.16 no.4
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• pp.409-418
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• 2012

In recent years many people are changing their mobile phones from feature phones to smart phones because huge number of useful smart phone applications are released onto the market everyday. Development of smart phone applications could be very helpful educational contents for technologically gifted children who has lots of curiosity and creativity. For this reason this paper deals with development of smart phone application UI(User Interface) layout education programs for the technologically gifted children. These education programs which can operating under Android-based smartphone, have been developed by using JAVA and Eclipse. Survey from the technologically gifted children education experts has been analyzed by Delphi method to figure out effectiveness of the developed education programs.

• Educational Technology International
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• v.23 no.2
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• pp.183-205
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• 2022

Mental status examination is an important stage in the assessment process because it serves as the foundation for establishing nursing diagnosis and intervention. Until now many students still feel difficult to understand the terms in the assessment of mental status. Interactive Mobile Learning in one of the media that is currently being developed. The use of this media will provide more in-depth learning opportunities, and students can practice their skills in carrying out practicals because of the mobility principle possessed by smartphones. The purpose of this study was to develop a smartphone-based app and evaluate the app's effectiveness by measuring nursing students' knowledge of mental status examination. Design: A randomized trial with a pre-and post-test design was conducted at a university in Indonesia. A total of seventy junior nursing students participated in this study. The intervention group received a smartphone-based app, and the control group received one-time lecture-based learning. We offered the experimental group the app and information about how to use it, and we encouraged them to use it. The control group received classroom instruction. Results: The intervention group scored significantly higher than the control group on knowledge score (t = 19.40, p = 0.000) and satisfaction with the learning method (t = 0.640, p = 0.021) Conclusion: These findings suggest that smartphonebased education could be an effective method in nursing education for teaching mental status examinations.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.24 no.2
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• pp.118-127
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• 2017

Purpose: The purpose of this study was to identify effects of self-evaluation using smartphone recording on competency in nursing skills, satisfaction and learning motivations in nursing students'. The setting was the open laboratory hours. Methods: A quasi-experimental pre/post-test design was conducted in September 2015. The participants were 82 sophomore nursing students from one University. The experimental group did self-evaluation by watching recorded video clips of their performance. The control group did not have any self-evaluation. The primary outcomes were scores from the foley catheterization checklist, scores from a student satisfaction tool, and scores from a learning motivation tool. Data were analyzed using ${\chi}^2$ test, Fisher's exact test, independent t-test, and paired t-test. Results: There was a significant higher mean score in levels of satisfaction by students in the experimental group compared to the control group (t=2.26, p=.027). In addition, improvement in communication skills by the experimental group was significantly higher than improvement in the control group (t=3.96, p<.001). Conclusion: Findings show that self-evaluation using smartphone recordings has positive effects on increasing both communication skills and satisfaction with practice during open laboratory hours. These results indicate that, self-evaluation using smartphone recording is useful as a supplement to traditional open laboratory education.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.6
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• pp.737-748
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• 2015

In modern people, smartphone is used in many fields of life styles in world wide. Its convenience and function are improved. Appropriate sleeping is essential to modern people. The overuse of smartphone threats sleeping of modern people. Result of this study shows that the deeper the addiction with smart phones the lower the quality of sleep, especially in troubles staying awake. The quality of sleep also associated with general factors including spending money, type of housing and degree of stress. There is a correlation between smart phone dependency and the quality of sleep and the more severe the dependency the more likely that the quality of sleep might fall. So we need adequate education to use smartphone for saving sleeping of modern people.

• Journal of the Korea Convergence Society
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• v.9 no.5
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• pp.61-67
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• 2018

This study was conducted to ascertain the mediating effects of aggression in high school students' relationship with smartphone overuse and cyberbullying. Data were collected from 328 high school students in K city using self-report questionnaire. The collected data were analyzed using SPSS 22.0 and AMOS 22.0. The results show that cyberbullying has a positive correlation with smatrphone overuse(r=.321, p<.001) and aggression(r=.397, p<.001). Smartphone overuse had a direct effect on aggression(${\beta}=.195$, p=.014) and aggression had a direct effect on cyberbullying(${\beta}=.260$, p=.007). In addition, the mediation effects of aggression on the relationship between smartphone overuse and cyberbullying were confirmed(${\beta}=.051$, p=.007). In order to reduce cyberbullying in high school students, it will be necessary to develop cyber ethical awareness education programs to reduce aggression as well as regulations on excessive use of smartphones.

• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.13-22
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• 2013

Smartphone addiction has become more serious than internet addiction since people can download and run numerous applications with smartphones even without internet connection. However, smartphone addiction is not sufficiently dealt with in current studies. The S-scale method developed by Korea National Information Society Agency involves so many questions that respondents are likely to avoid the diagnosis itself. Moreover, since S-scale is determined by the total score of responded items without taking into account of demographic variables, it is difficult to get an accurate result. Therefore, in this paper, we have extracted important factors from all data, which affect smartphone addiction, including demographic variables. Then we classified the selected items with a neural network. The result of a comparative analysis with backpropagation learning algorithm and multiclass support vector machine shows that learning rate is slightly higher in multiclass SVM. Since multiclass SVM suggested in this paper is highly adaptable to rapid changes of data, we expect that it will lead to a more accurate self-diagnosis of smartphone addiction.

• Journal of Convergence for Information Technology
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• v.9 no.11
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• pp.202-211
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• 2019

This study was conducted to identify the correlation between smartphone addiction, sleep quality, and depression in college students. The participants were 304 college students in G area. Data were collected using self-report questionnaires and data were analyzed by frequency, percent, mean, standard deviation, t-test, One way ANOVA and Pearson correlation coefficient. The results showed that there was a significant negative correlation between smartphone addiction and sleep quality, a significant positive correlation between smart addiction and depression, and a significant negative correlation between sleep quality and depression. Therefore, the results of this study can be used as a useful basic data when looking for education and program development strategies to improve and prevent smartphone addiction, sleep quality, and depression of college students. In addition, it is required to apply a systematic educational program considering this.