• The Journal of Korean Association of Computer Education
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• v.15 no.2
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• pp.9-18
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• 2012

This study investigated the extraction algorithm fitting for variables of adolescents' computer use type with the sample from KYPS data (3409 in the second grade of the junior high school; 1704 boys and 1705 girls). The results of the decision tree model revealed that : (1) Gender, computer use time, misdeed friends, parent supervision, other agreement of misdeed, parent study expectation, self-control, teacher attachment, and sibling relation were significant for entertainment type. (2) Gender, cyberclub, computer use time, self-belief, online misdeed were significant for relation type. (3) Study enthusiasm, personal study time, optimistic disposition, study and spare time, cyberclub, self-belief, and other people criticism were significant for information type. These results suggest that adolescents' diverse conditions should be considered for using computer more efficiently.

• Journal of Fisheries and Marine Sciences Education
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• v.29 no.1
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• pp.180-187
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• 2017

The purpose of this research is to analyze the relationship between using computer for learning and subjective achievement in high school. It is also to explore the relationship among gender, school type, subjective achievement and computer use for learning. We conduct structural equational modeling analyses using Korean Child Youth Panel Study (KCYPS) data with 1st grade middle school students panel. We found these results: (a) Using computer for learning effects on the subjective achievement of 3rd grade high school students. (b) Girls more use computer for the purpose of learning than boys during high school. (c) School type has an effect on using computer for learning in high school significantly. From these results, some strategies and guides are suggested in the use of computer for learning.

• Journal of the Korean Home Economics Association
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• v.43 no.12 s.214
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• pp.15-28
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• 2005

This study groups the life content of adolescents according to their time spent during the week and compares their internet use. The data were collected from 2210 middle and high school students, including their life content and hours, and various internet factors such as self-evaluated internet addiction, internet support, internet experience, chatting subjects and the type of internet service. Adolescents were divided into five groups: TV-oriented group, computer-oriented group, peer-oriented group, self-study group and extracurricular institution group. The purpose of internet use, internet experience, chatting subjects, negative aspects of internet and internet addiction were different by adolescents' group type. The peer-oriented group had the highest real self image as opposed to the cyber self image and trusted other's words on the internet. The TV-oriented group had the lowest trust in the internet. The computer-oriented group received the highest internet support and internet experiences, but didn't use the internet for the purpose of information search. The self-study and extra-curricular institution groups used the internet the least, used it to solve stress and were interested in school circles on the internet.

• Journal of the Korea Society of Computer and Information
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• v.25 no.2
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• pp.213-219
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• 2020

In this paper, we propose a classification analysis method for diagnosing and predicting problematic smartphone use in order to provide policy data on problematic smartphone use, which is getting worse year after year. Attempts have been made to identify key variables that affect the study. For this purpose, the classification rates of Decision Tree, Random Forest, and Support Vector Machine among machine learning analysis methods, which are artificial intelligence methods, were compared. The data were from 25,465 people who responded to the '2018 Problematic Smartphone Use Survey' provided by the Korea Information Society Agency and analyzed using the R statistical package (ver. 3.6.2). As a result, the three classification techniques showed similar classification rates, and there was no problem of overfitting the model. The classification rate of the Support Vector Machine was the highest among the three classification methods, followed by Decision Tree and Random Forest. The top three variables affecting the classification rate among smartphone use types were Life Service type, Information Seeking type, and Leisure Activity Seeking type.

• Journal of Korean Public Health Nursing
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• v.19 no.2
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• pp.359-370
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• 2005

The purpose of this study is to provide basic data for prevention of VDT syndrome by confirming VDT syndrome according to the type of computer use. The subjects recruited for the research were 518 students who were in the 4, 5, 6 grades from 5 schools in Seoul. The data were collected during the period from October 8 through October 18, 2004. The results were as follows; 1. The mean value of the VDT syndrome was 1.55 (SD=.52) for the 5th graders. 2. The degrees of VDT syndrome according to the characteristics of the subjects shows higher scores for the 5th and 6th graders, boys, students with more than 4 online friends, students with a low degree of school life satisfaction, and for students with parents who had a negative attitude for their children. 3. The degree of VDT syndrome according to the type of computer use showed higher scores when the students used computers for game more than for study, more than 11 hours in a week, more than 2 hours at one time, not having any rest, in dark places, with the monitor less than 40 an distance from the eyes, sitting with their legs crossed and when the keyboard was in a higher position than their elbows. The internet absorbed group showed higher scores than the unabsorbed group. 4. There was positive correlation between the hours of computer use and VDT syndrome. Also, internet addiction and VDT syndrome had positive correlation. Therefore, each home and society needs to pay consistent attention to correct computer use by their students. Especially, schools will have to educate about computer utilization and VDT syndrome.

• Journal of the Korean Society for Library and Information Science
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• v.19
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• pp.151-188
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• 1990

The aims of automation efforts in libraries are the rationalization of interval work and improvement of user services. After a period of exclusive internal computer utilization, later voluntary contact with the computer (e.g., circulation control with self services), patrons of American libraries now have to go to a computer terminal if they want certain information. Online public access catalogs(OPAC) have been used in American libraries since the end of the seventies. But OP AC are accepted by patron only if they have a useful and flexible user interface. This paper briefly describes the use of online catalogs in different type of libraries, categories of user (user, non-user), aspect of catalog use in context with computer experience etc. The disscussion then focuses on the characteristics of the final report of online catalog use study of Council on Library Resources and user problems in searching, as reported in many other catalog use studies.

• Journal of the Korea Society of Computer and Information
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• v.18 no.10
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• pp.199-205
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• 2013

This study examined the factors of failure of new-type computer which has a functions of replacing and supplementing of existing product by being unaccepted by market. Placing the reason of market failure in a customer's negative perception of the value of the product, influential relationship was explored by distinguishing the factors that influence value perception between benefit of use of product and the cost of using product. As a result of this empirical research on netbook, a customer's negative perception of the value of new product had an negative influence on intention of use. And a customer's perceptional cost of new-type computer had an significant influence on negative perception of the value of the new product. However, even if a customer perceived benefit of new-type computer negatively, this did not impact on negative influence.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.106-109
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• 2003

Many diverse methods have been developing in the field of biometric identification as human-friendliness has been emphasized in the intelligent system's area. One of emerging method is to use human footprint. Automated footprint-based person recognition was started by Nakajima et al.'s research but they showed relatively low recognition result by low spatial resolution of pressure sensor and standing posture. In this paper, we proposed a modified Nakajima's method to use walking footprint which could give more stable toe information than standing posture. Finally, we prove the usefulness of proposed method as 91.4tt recognition rate in 11 volunteers' test.

• Journal of information and communication convergence engineering
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• v.2 no.2
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• pp.97-101
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• 2004

This paper is about the use of existing evaluation methods, which evaluate learning determined by the score of an exam, which is either a multiple-choice type or single choice type question. These scores don't show the objective evaluations that cause some negative opinions about the scores. In this paper, we propose that the evaluation of the methods of self-directed learning use the triangle-type function of the fuzzy theory so that the learner can objectively evaluate their own learning ability. The proposed method classifies the result of learning into three fuzzy grades to calculate membership, and evaluate the result of an exam according to the final fuzzy grade degree as applied to the fuzzy grade sheets.

• Journal of the Korean Home Economics Association
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• v.24 no.4
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• pp.69-74
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• 1986

The present study investigated the use of a computerized program for construction of menu. The Computer used for this study was the personal computer type IBM-PC OA-16 XT. The program itself used the computer's“DBASE Ⅲ”. Preparation for computer programming: 1) Assigned special code number of menu and input data 2) Assigned special code number of recipe and input data 3) Menu construction The computerized program for the planning of menu according to user's condition was developed.