• Korean Journal of Health Education and Promotion
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• v.16 no.2
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• pp.55-66
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• 1999

To evaluate the status of the contact to lascivious computer programs and sexual attitude and behaviour by the grades of middle school boy students, the questionnaire survey was done on 715 students of five middle schools in Pusan and Kimhae area from December 15 to December 24, 1997. The data were analyzed by PC SAS; $X^2$ -test. The level of significance was 0.05. 404 students (56.5%) had a personal computer in their home. 516 students(72.2%) have experienced of using a computer program. 294(57%) of them usually played a game with computer. 514 students(71.9%) had experiences of the contact to a lascivious computer program, which increased with the grades of the students(p〈0.05). The first exposure to a lascivious program was when they were elementary school students in 24.6% of first grade middle school student, 13.8% of second grade, and 11.3% of 3rd grade students. 92% of the students was introduced to first contact through their friends. 63.7% of them watch the program at their friends home. The most common drives to contact to a lascivious programs were curiosity (53%). Sexual desire was a higher drive in third grade students (20.6%) than lower grades. After contacting to a computer lascivious program, desire of masterbation was more frequent in lower grade students. and feeling disgust was more frequent in higher grade students (p〈0.05). Frequence of masterbation or sexual intercourse was higher in high grade students(p〈0.05) In conclusion, distribution and popular use of computer attributes to the increased exposure to lascivious programs and lowering the age of first exposure. There was the difference according to the grades in the feeling and sexual behaviour after contacting to computer lascivious program. Appropriate methods to protect young students to contact a lascivious program should be sought. The use of computer should be educated in elementary school students accompanied by proper sex education.

• Food Quality and Culture
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• v.3 no.1
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• pp.20-26
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• 2009

The purpose of this study was to investigate the characteristics of dining-out customers by their behaviors based on geographical regions and visiting days in relation to restaurant attraction at ski resorts in Korea. The data were collected from six ski resorts. Three of the ski resorts were located in Kyunggi Province close to a metropolitan area, namely Seoul. The other three resorts were located in Kangwon Province, which is considered to be distant from the Seoul metropolitan area. A total of 599 usable questionnaires were utilized in the data analysis. Descriptive statistics and a cross tabulation analysis with chi square were used to examine the demographic characteristics of the respondents and the significant differences between geographical regions as well as between weekdays and weekends. The responding customers consisted of 57.3% (n=343) males and 42.7% (n=256) females. With respect to age, 15.5% were less than 20 yr., 44.6% were $20{\sim}30$ yr., and 28.0% were $30{\sim}40$ yr. The most recognizable occupations were student (32.9%) followed by office worker (33.2%). Twenty-seven percent of the respondents had less than one year of skiing experience and the majority (32.9%) had more than $1{\sim}3$ yr of experience. The major findings obtained from this study include statistically significant differences in the customers' demographical characteristics of age, occupation, skiing experience, and residential area according to the geographical regions of Kyunggi Province and Kangwon Province (p<0.05). All six of the customers' behavioral attributes, including transportation, reason to visit, staying days, purpose of visit, spending expenses, and usage of discount programs, showed significant differences between geographical groups (p<0.05). Finally, restaurant attraction was associated with the purpose of visiting and spending expenses by customers at the ski resorts (p<0.001).

• Journal of Digital Convergence
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• v.13 no.9
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• pp.115-128
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• 2015

As generation of Web 2.0 comes in, enormous information of corporation from various platform are being produced. However, corporations should understand features of each platform and appropriate strategies in order to attract the public in the midst of such flood of information. Numerous studies have been conducted regarding SNS which has grown rapidly in recent but a study relating a specific medium is relatively in short. So this study analyzed how information of Instagram bulletin board is accepted in perspective of consumer in Korean and America, We examined the relationship between intention of acceptance and Word Of Mouth effect through meditating effect of information usefulness. To answer the research question, we conducted online survey with Korean and USA college students. The result showed that usefulness of the information was shown to the major intermediary variable between the information characteristics of bulletin board and the intention of acceptance intention and Word Of Mouth(WOM).

• Journal of Digital Convergence
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• v.11 no.10
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• pp.387-394
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• 2013

Data mining is the process of discovering hidden, non-trivial patterns in large amounts of data records in order to be used very effectively for analysis and forecasting. Because hundreds of variables give rise to a high level of redundancy and dimensionality with time complexity, they are more likely to have spurious relationships, and even the weakest relationships will be highly significant by any statistical test. Hence cluster analysis is a main task of data mining and is the task of grouping a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups. In this paper system implementation is of great significance, which defines a new definition based on information-theoretic entropy and analyse the analogue behaviors of objects at hand so as to address the measurement of uncertainties in the classification of categorical data. The sources were taken from a survey aimed to identify of job guidance from students in high school pyeongtaek. we show how variable precision information-entropy based rough set can be used to group student in each section. It is proved that the proposed method has the more exact classification than the conventional in attributes more than 10 and that is more effective in job guidance for students.

• Journal of Korean Biological Nursing Science
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• v.14 no.3
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• pp.174-182
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• 2012

Purpose: The objective of this study was to identify predictors of drug calculation competence of nursing students. Methods: A total of 120 students were recruited from 3 universities from November 10 to 20, 2011. The instruments for this study were drug calculation competence, self-efficacy for drug dosage calculation, anxiety for drug dosage calculation, and the academic self-efficacy scale. The data were analyzed by descriptive analysis, chi-square test, t-test, Scheffe test, partial correlation coefficients, and stepwise multiple regression using the SPSS 18.0 program. Results: The mean score of good competence group was $0.67{\pm}0.08$ and the mean score of no-good competence group was $0.42{\pm}0.10$. The drug calculation competence was positively related to self-efficacy for drug dosage calculation and academic self-efficacy scale, but negatively related to anxiety for drug dosage calculation after controlling personal attributes. The main predictors of drug calculation competence in nursing students were identified as anxiety for drug dosage calculation (${\beta}$=-.25, p=.046), academic self-efficacy (${\beta}$=.19, p=.035). These two factors explained about 10% of variance in drug calculation competence. Conclusion: Based on the results, the strategies reducing the anxiety for drug dosage calculation and improving the academic self-efficacy should be developed and implemented.

• Journal of the Korean Society of Food Culture
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• v.10 no.4
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• pp.327-337
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• 1995

The purposes of this study were to: (a) identify college students' patronage behaviors, (b) develop an instrument measuring the attitudes of University Students towards university foodservices management practices, (c) determine university students' attitude towards the four types of university foodservices, and (d) provide recommendations on marketing strategies for university foodservice. Questionnaires were hand delivered to 600 Yonsei University students by designated coordinators. A total of 549 questionnaires were usable; resulting in an 93.3% response rate. The survey was conducted between November 28 to December 4, 1995. Statistical data analysis was completed using the SAS Programs for descriptive analysis, T-test, ${\chi}^2$ test, ANOVA, Factor Analysis and Stepwise Multiple Regression. Most (88.3%) of students were patronizing university foodservices for lunch. Underground student foodservice (40.1%) and Restaurants outside the campus (33.7%) were primarily used for lunch and dinner respectively. Eighty six percent of university students had 1 to 2 meals per day at university foodservices. The reasons given by students for patronizing university foodservices were as follows: location, time, price, menu, taste. Most of the respondents were least satisfied with hygiene, taste, menu and atmosphere. Data indicated strong support for eight priori dimensions in terms of food, menu, atmosphere, hygiene, employee attitude, facilities and convenience. After the factor analysis, price, fast service and foodservice location attributes were rearranged, combined and created a new dimension called as 'access'. Three dimensions in terms of menu, hygiene, convenience were important to students although performance was perceived as poor through importance-performance analysis. Most of students were not satisfied with all four types of university foodservices. In terms of food quality and price which university foodservices offer, most of respondents were moderately satisfied. According to multiple regression analysis, 93.31% of the variance respondents' satisfaction score could be explained by food, menu, price, atmosphere, hygiene, employee attitude, facilities, and convenience dimensions.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.4
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• pp.45-55
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• 2015

In this paper, we consider curriculum mining as an application of process mining in the domain of education. The basic objective of the curriculum mining is to construct a registration pattern model by using logs of registration data. However, subject registration patterns of students are very unstructured and complicated, called a spaghetti model, because it has a lot of different cases and high diversity of behaviors. In general, it is typically difficult to develop and analyze registration patterns. In the literature, there was an effort to handle this issue by using clustering based on the features of students and behaviors. However, it is not easy to obtain them in general since they are private and qualitative. Therefore, in this paper, we propose a new framework of curriculum mining applying K-means clustering based on subject attributes to solve the problems caused by unstructured process model obtained. Specifically, we divide subject's attribute data into two parts : categorical and numerical data. Categorical attribute has subject name, class classification, and research field, while numerical attribute has ABEEK goal and semester information. In case of categorical attribute, we suggest a method to quantify them by using binarization. The number of clusters used for K-means clustering, we applied Elbow method using R-squared value representing the variance ratio that can be explained by the number of clusters. The performance of the suggested method was verified by using a log of student registration data from an 'A university' in terms of the simplicity and fitness, which are the typical performance measure of obtained process model in process mining.

• Journal of Engineering Education Research
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• v.21 no.6
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• pp.63-73
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• 2018

This research aims to analyze core competencies of engineering students in Korea as well as to explore the application plans of extracurricular activities(hereafter, ECA) and programs in order to enhance their core competencies. Participation in ECA has long been recognized as having positive benefits and impacts upon students. To achieve the purpose of this study, first, we investigated whether there were differences between core competencies in undergraduates according to majors, gender and grades. 'Core competencies', first introduced in management theory as 'core competency' can be defined as personal attributes or underlining characteristics, capable of delivering a role or job. 'Core competencies' has received particular attention in recent years and there has been much related research (domestic and foreign) combined with diverse factors. However, few studies have addressed the question on engineering student's core competencies as well as the ways of their enhancement. This study was conducted with a total of 286 students, and core competencies have been measured online, through K-CESA. Our findings show that firstly, there were significant differences in undergraduate students' core competencies by majors. Engineering students scored significantly lower in core competencies overall. Second, there was no significant difference in students' core competencies by gender and grade. Third, there was a significant correlation among components of core competencies. Finally, there was a significant correlation between core competencies and grades(GPA, grades in major subject & liberal arts subject), rather levels in the correlation were low. Furthermore, the study suggested that the appropriate application of extracurricular activities would enhance core competencies of students.

• International Journal of Knowledge Content Development & Technology
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• v.11 no.1
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• pp.65-84
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• 2021

Our understanding of how barriers to access systematically varies with the compositional and contextual characteristics of users is incomplete. Using a public university library in Ghana, this study assessed the heterogeneous barriers or constraints students encounter in accessing electronic resources based on their demographic and contextual attributes. A descriptive survey design was adopted and structured questionnaires were administered randomly to 558 students in the four constituent colleges of the University of Cape Coast, Ghana. Data were collected and analysed using SPSS and descriptive statistics were generated. The results revealed that students faced six key challenges in accessing electronic information resources in the library namely delays in download of information, poor internet connectivity, and limited accessibility of university portal, inadequate computers in the library, poor lighting and limited ancillary services (on the spot printing facilities), with differences based on gender, academic level, and college affiliation. Only 24% males and 26% females had no challenges or problems with delays in download of electronic information. About three-fourth of all users had poor internet connectivity and complained about inadequate computers associated with accessing electronic resources. 40% percent of undergraduate students in the Colleges of Education Studies, Agriculture and Natural Sciences, and Humanities and Legal Studies each encountered four to six simultaneous challenges. Irrespective of gender, first year undergraduate students in all the four colleges were the least likely to report multiple challenges. This suggests the need for targeted and context-specific interventions to address the identified challenges.

• Korean Journal of Remote Sensing
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• v.39 no.4
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• pp.425-440
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• 2023

Monitoring water surface has become one of the most prominent areas of research in addressing environmental challenges.Accurate and automated detection of watersurface in remote sensing imagesis crucial for disaster prevention, urban planning, and water resource management, particularly for a country where water plays a vital role in human life. However, achieving precise detection poses challenges. Previous studies have explored different approaches,such as analyzing water indexes, like normalized difference water index (NDWI) derived from satellite imagery's visible or infrared bands and using k-means clustering analysis to identify land cover patterns and segment regions based on similar attributes. Nonetheless, challenges persist, notably distinguishing between waterspectralsignatures and cloud shadow or terrain shadow. In thisstudy, our objective is to enhance the precision of water surface detection by constructing a comprehensive water database (DB) using existing digital and land cover maps. This database serves as an initial assumption for automated water index analysis. We utilized 1:5,000 and 1:25,000 digital maps of Korea to extract water surface, specifically rivers, lakes, and reservoirs. Additionally, the 1:50,000 and 1:5,000 land cover maps of Korea aided in the extraction process. Our research demonstrates the effectiveness of utilizing a water DB product as our first approach for efficient water surface extraction from satellite images, complemented by our second and third approachesinvolving NDWI analysis and k-means analysis. The image segmentation and binary mask methods were employed for image analysis during the water extraction process. To evaluate the accuracy of our approach, we conducted two assessments using reference and ground truth data that we made during this research. Visual interpretation involved comparing our results with the global surface water (GSW) mask 60 m resolution, revealing significant improvements in quality and resolution. Additionally, accuracy assessment measures, including an overall accuracy of 90% and kappa values exceeding 0.8, further support the efficacy of our methodology. In conclusion, thisstudy'sresults demonstrate enhanced extraction quality and resolution. Through comprehensive assessment, our approach proves effective in achieving high accuracy in delineating watersurfaces from satellite images.