• The Journal of Information Systems
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• v.27 no.2
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• pp.175-196
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• 2018

Purpose The purpose of this study is to identify problems of current educational facility data management and recommend a standardized terminology classification system as a solution. In addition, the research aims to present a preemptive and integrated disaster and safety management framework for educational facilities by seeking efficient business processes through secured data quality, systematic data management, and external data linkage and analysis. Design/methodology/approach A terminology classification system has been established through various processes including filtering and analysis of related data including laws, manuals, educational facilities accidents, and historical records. Furthermore, the terminology classification system has been further reviewed through several consultations with experts and practitioners. In addition, the accumulated data was refined according to the established standard terminology and an Excel database was developed. Based on the data, accident patterns occurred in educational facilities over the past 10 years were analyzed. Findings In the study, a template was developed to collect consistent data for the standardized disaster and safety management terminology classification system in educational facilities. In addition, the standardized data utilization methods are presented from the viewpoint of 'education facility disaster safety data management', 'data analysis and insight', 'business management through data', and 'leaping into big data management'.

• Journal of Distribution Science
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• v.20 no.11
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• pp.19-31
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• 2022

Purpose: This research aims to analyze the educational potential and students' satisfaction with the quality of education services distribution in Kazakhstani universities. The conceptual review shows that very few studies on regional development have been able to determine the level of satisfaction with the quality of educational services depending on the university's location. Research design, data, and methodology: The research methodology is divided into two approaches descriptive analysis and qualitative data analysis. The current educational situation and the distribution of educational services in the largest Kazakh universities were studied based on the proposed approaches' use. Statistical data are taken for indicators of educational potential for 2010-2020 from the Bureau of National Statistics. The primary data were collected based on a survey for 2021-2022 in five regions of Kazakhstan. Results: The results showed that there is a gender gap between men and women and regional disparities between the regions of Kazakhstan in the coverage of higher education. The results of the sociological survey revealed that the quality of educational services depends on the territorial location of the university. Conclusions: Based on the results of the assessment of educational potential and educational services, policy recommendations and further research in this area were proposed.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.24-31
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• 2023

The purpose of this paper is to divide franchise education and restaurant education programs into three factors: educational content, educational techniques, and educational environment. After completing the franchise curriculum, we will identify what educational programs affect corporate performance and CEO's capabilities. A total of 99 copies were used as statistical analysis data by conducting a survey of those who completed the training from May 01 to May 15, 2023. The survey used the Likert 5-point scale, and for data analysis, hypothesis verification was conducted using frequency analysis, demographic analysis, and reliability analysis using SPSS23. As a result, it was confirmed that all three factors of franchise education are factors that affect performance and competency. Therefore, among franchise education programs, it is necessary to be faithful to the contents of education, use appropriate educational techniques, and prepare an educational environment well.

• Journal of the Korean Data and Information Science Society
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• v.17 no.2
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• pp.279-289
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• 2006

This paper concerns with the effects of the specialized projected for the local W university on education which was planned and conducted in October 2004. From the empirical study using the correlation analysis, regression analysis, and structured equation model, we found some results that educational service satisfaction was highly correlated with general instruction factor and hard ware factor less correlated. Also we investigated that university educational service satisfaction was deeply correlated with word of mouth.

• Journal of Information Processing Systems
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• v.17 no.3
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• pp.630-644
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• 2021

Educational data analysis is attracting increasing attention with the rise of the big data industry. The amounts and types of learning data available are increasing steadily, and the information technology required to analyze these data continues to develop. The early identification of potential dropout students is very important; education is important in terms of social movement and social achievement. Here, we analyze educational data and generate predictive models for student dropout using logistic regression, a decision tree, a naïve Bayes method, and a multilayer perceptron. The multilayer perceptron model using independent variables selected via the variance analysis showed better performance than the other models. In addition, we experimentally found that not only grades but also extracurricular activities were important in terms of preventing student dropout.

• Proceedings of the CALSEC Conference
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• 2005.03a
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• pp.96-100
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• 2005

This study examines the effects of the characteristics of educational contents, brand recognition, educational management and technical support on the repurchase intention mediated by overall satisfaction, trust and commitment in e-Learning sites. A survey of experienced users was conducted to collect data. The reliability and validity of data were tested by explanatory factor analysis, Cornbach's alpha coefficient, confirmatory factor analysis and correlation analysis. Also, the structural equation mode (SEM) analysis was performed to test the usefulness of the model. The results of the study are as follows: Educational contents, educational management and technical support were found to have positive effects on overall satisfaction. And educational contents and brand recognition were found to have positive effects on trust and commitment. And trust and overall satisfaction were found to have mediating effects on repurchase intention.

• Journal of the Korean Institute of Educational Facilities
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• v.1 no.1
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• pp.9-20
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• 1994

This analysis of the educational facility planning is based on the various career, with historical backgrounds from white color, blue color to steel color, idea color, related to the planning of educational curriculum for all levels (from K-12 to higher education). The results of the analysis show that an institution for the research & development of educational facilities through the researchers and practioners occupied with architectural planning, designing and with educational curriculum planning, designing of the educational environments, is timely needed. It is fortunate that function of such institute can be carried out by Korean Educational Facility Institution which enables to research and develop educational facility in collaborative with architects and educators together. CEFPI research and development findings about educational facilities can be applied to our research and development, for the various career of our future students, with the various educational plannings.

• The Journal of Korean Association of Computer Education
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• v.17 no.6
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• pp.21-33
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• 2014

This study reviewed the all specialized vocational high school across the nation, through the data per school in the Elementary, Middle & High Schools information disclosure system(2012), and carried out an analysis on the specialized vocational high school's educational outcomes in using the data mining technique. The educational outcomes of specialized vocational high schools were defined as the employment rate, the university entrance rate, the aware records in various vocational techniques contests. As the first research question, this study investigate whether there was any significant differences in educational outcomes depending on school's general characteristics. And as the second research question, this study explored the factors influencing on educational outcome.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.3
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• pp.18-24
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• 2020

The purpose of this paper is an analysis of the difference between convergence majors and single majors in the convergence core competency and educational performance. We used survey data for the analysis of the convergence core competencies, the results of the midterm and final exams for the education performance. Analysis targets are 10 students in big data business intelligence at Seokyeong University as convergence majors and 11 students in business administration as single majors. The target course was an analysis of economic data provided in the second semester of 2019. And the lecture contents were analysis of big data using R programming. The survey was conducted on December 5, 2019. The convergence core competences were creative thinking, critical thinking, understanding convergence knowledge, problem solving ability, communication skills, cooperation ability, use of convergence tools, consideration, and responsibility. As results of homogeneity tests, we found that there was no significant difference in all competencies, but there were very significant differences in the educational performance evaluated by the midterm and final exams. Therefore we can see willingness to convergence of single majors was no different from that of convergence majors, but had not led to practice. It is desirable to activate and support convergence courses.

• Culinary science and hospitality research
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• v.23 no.7
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• pp.194-203
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• 2017

The data collection and questionnaire survey were conducted from July 1, 2016, to August 30, 2016, and the final analysis was conducted with 273 copies. The collected data were analyzed using SPSS (V 23.0) and AMOS (V 21.0) programs. In order to identify the characteristics of the respondents, the frequency analysis was performed, and the reliability analysis and confirmatory factor analysis were performed for each measurement item. The conceptual reliability (CR) and standard variance extraction (AVE) values were calculated to verify the validity. Correlation analysis was conducted to measure the associations among the derived factors. For the hypothesis test, a structural equation modeling was used to test the jointness and organic causality of the whole model. In addition, an alternative model with a nested relationship with the basic model was set up to test the adjustment effect of the learner's educational environment on the educational satisfaction and behavioral intention. The purpose of the study was to examine the effect of educational environment on the educational satisfaction and behavioral intention of students at a cooking education institute in Busan. The implication of this study is that the operators of educational institutions should recognize the human factors as important means of marketing for the activation of cooking education and select instructors by applying more systematic and objective criteria when hiring instructors. Also, consideration should be given to support programs such as training programs and incentives to develop instructor's abilities. In addition, the positive educational outcomes of students may have a positive impact on financial performance, such as livelihood of other students and sales of educational institutions.