Purpose: As a research on the effects of the characteristics of franchise educational institution and contents on the educational transition, commitment, and recommendation intention, this study aimed to suggest the basic data that could be used for the performance of educational training of franchise headquarters, and also to suggest an empirical research helpful for the development of actual educational system and the operation of curriculum for franchise educational institutions. Research design, data, and methodology: This study selected the trainees who recently completed the training in a franchise educational institution as the samples. The survey was conducted for 20 days from October 1st to October 20th 2018, targeting total 230 people, and total 207 questionnaires were collected (Missing value 23). To verify the validity of the measurement tool used for this study, this study reviewed the factor loading of each factor by conducting the confirmatory factor analysis(CFA), and then verified the average variance extracted(AVE) and the composite construct reliability(CCR). Lastly, the structural equation model(SEM) was verified based on the research hypotheses and research model. The SPSS Win Ver. 20.0 & AMOS 20.0 were used for every analysis of this study. Results: The results of this study could be summarized as follows. First, the reputation and interaction of the characteristics of franchise educational institution had significantly positive(+) effects on the educational transition. Second, all the sub - variables of educational contents such as job relevance, education method, and instructors' professionalism had positive(+) effects on the educational transition while the educational transition had positive effects on the organizational commitment, career commitment, and job commitment. Lastly, the organizational commitment and job commitment had positive(+) effects on the recommendation intention. Thus, the trainees with higher organizational commitment and job commitment in a franchise educational institution, showed higher intention to recommend the educational institution to others. Conclusions: The results of this study imply that the franchise educational institutions could increase the actual performance of education such as educational transition, commitment, and recommendation intention by increasing interactions within educational institutions and also designing effective educational contents, so that the trainees could highly perceive the educational transition of education.
The Journal of Sustainable Design and Educational Environment Research
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v.13
no.1
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pp.15-23
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2014
With introduction of amended educational curriculum in 2007, optimizing project of educational environment to accomplish its purposes and goals includes expanding educational facilities and supplying eco-friendly school facilities. However, while the focus of optimizing project of educational environment is quality improvement of educational facilities, aging of these facilities built at th times of quantitative expansion and its management become serious problems. Higher concerns on studies and jobs on management of building caused by serious aging of facilities, management cost of building becomes a very crucial issue. Therefore, this study aims to analyze environment improvement budget of school facilities through building and using data warehouse, by investigating and analyzing the current status of environment improvement budget of school facilities and its cost through questionnaire and interview surveys on officers who are in charge of environment improvement budget of school facilities in educational administrations. This study thus analyzed environment improving budget of school facilities by using data warehouse technology collecting related data to the topic and setting levels by region, school class, establishment year, school facility types and others.
An educational outcome cohort has been established at Keimyung University School of Medicine to help make educational policy decisions and improve educational programs based on data. The purpose of the educational outcome cohort is to support educational policy decisions for achieving graduation outcomes smoothly and to accomplish the intended human resources development of the university through objective analyses and regular monitoring, providing continuous feedback. The data collected for the educational outcome cohort include the student identifications of freshmen, entrance exam scores, premedical and medical school grades, titles and forms of student academic research, the results of psychological testing, scholarship recipient lists, volunteer clubs, and so forth. The data are collected using an information utilization agreement approved by the Institutional Review Board, and the collected data are encrypted and stored on a dedicated computer for enhanced personal information security. Proposals to access and utilize the educational outcome cohort data must be discussed and approved by the Educational Outcome Cohort Committee, which decides on the scope and method of utilization. The collected and managed educational outcome cohort data have been used to develop comparative programs to improve students' competency and to support admission policy decisions through an analysis of the characteristics and performance of medical school students. The establishment and utilization of the educational outcome cohort will play an important role in determining the School of Medicine's educational policies and suggesting new directions for educational policies in the future.
Journal of the Korean Society of Clothing and Textiles
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v.36
no.4
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pp.432-442
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2012
This study investigated the practical use of educational subjects and contents of materials in the fashion industry field and analyzed all data from respondents depending on business area and years of work in order to develop appropriate educational methods and courses. The survey was conducted with 151 questionnaires; 148 responses were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, and ANOVA. The factors of educational subjects for Clothing and Textiles were classified into three categories of product planning, manufacturing and basic information, and manufacturing-related subjects (including materials); subsequently, these showed a high practical use in the fashion business. There were significant differences in the practical use of educational subjects that depended on business areas and years of work for respondents. In the case of education of materials, the contents of fibers, knit fabrics and textile planning were used the most in various business areas; in addition, there were also significant differences in the practical use of knits, textile care, textile planning and trade, and textile retailing depending on business area.
Purpose: North Korean refugee women struggle with the double burden of adaptation and parenting as mothers in a new environment. This study aimed to identify the knowledge, confidence, and educational needs regarding newborn care among North Korean refugees, and to determine differences between these variables according to participants' characteristics. Methods: Data were collected from September to October 2022, and 150 North Korean refugee women recruited using convenience sampling participated in the study. Descriptive statistics, the t-test, analysis of variance, and Pearson correlation analysis were used for data analysis. Results: The mean scores were as follows: parenting knowledge, 14.97 out of 25; infection prevention knowledge and confidence, 20.09 out of 33 and 51.37 out of 80, respectively; and educational needs, 245.86 out of 310. Significant differences were observed in newborn care, knowledge, and confidence according to maternal age, educational level, family structure, and pregnancy history. Significant positive correlations were observed between the participants' newborn care knowledge, confidence, and educational needs. Conclusion: Personalized educational programs should be implemented to enhance North Korean refugee women's confidence in newborn care, focusing on areas with low knowledge levels and high educational needs and enabling women to achieve healthy pregnancy and childbirth, and to parent well.
Alachiotis, Nikolaos S.;Stavropoulos, Elias C.;Verykios, Vassilios S.
Journal of Information Science Theory and Practice
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v.7
no.3
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pp.6-20
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2019
Learning analytics, or educational data mining, is an emerging field that applies data mining methods and tools for the exploitation of data coming from educational environments. Learning management systems, like Moodle, offer large amounts of data concerning students' activity, performance, behavior, and interaction with their peers and their tutors. The analysis of these data can be elaborated to make decisions that will assist stakeholders (students, faculty, and administration) to elevate the learning process in higher education. In this work, the power of Excel is exploited to analyze data in Moodle, utilizing an e-learning course developed for enhancing the information computer technology skills of school teachers in primary and secondary education in Greece. Moodle log files are appropriately manipulated in order to trace daily and weekly activity of the learners concerning distribution of access to resources, forum participation, and quizzes and assignments submission. Learners' activity was visualized for every hour of the day and for every day of the week. The visualization of access to every activity or resource during the course is also obtained. In this fashion teachers can schedule online synchronous lectures or discussions more effectively in order to maximize the learners' participation. Results depict the interest of learners for each structural component, their dedication to the course, their participation in the fora, and how it affects the submission of quizzes and assignments. Instructional designers may take advice and redesign the course according to the popularity of the educational material and learners' dedication. Moreover, the final grade of the learners is predicted according to their previous grades using multiple linear regression and sensitivity analysis. These outcomes can be suitably exploited in order for instructors to improve the design of their courses, faculty to alter their educational methodology, and administration to make decisions that will improve the educational services provided.
The Journal of Sustainable Design and Educational Environment Research
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v.2
no.2
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pp.1-14
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2002
The purpose of this study was to develop the expert system based on the artificial neural networks for architectural design phases. The applied building was secondary school focussed in its space-relational-diagram. To implement this system, a data matrix derived from case based database was used as learning pattern, and its output data was lastly evaluated by the educational phase's behavior & activity analysis data. The results of this study were as follows; 1) the needs of educational system for real world spacing can be solved by this expert system based on neural networks. 2) FCM also can be applied for architect's needs. 3) Afterwards, for developing architectural planning & design processes, information technology (for example, internet, odbms, dca and etc.) can be used.
Objective : To investigate the relationships of occupational class, educational level and deprivation with mortality in Korea Methods : This study used existing South Korean national data on occupation, educational level, and deprivation and death. Mortality was investigated using registered death data from 1993 to 1997 obtained from the Korean National Statistics Office (NSO) with denominators drawn from the 1995 Census. Statistical analysis consisted of poisson regression modeling and multilevel analysis. Results : The lower occupational class (manual workers) group had a higher mortality rate than the higher occupational class (non-manual workers) group Educational level, and deprivation were both inversely related withand mortality. Occupation was strongly associated with education. Area-based deprivation indicators and individual indices for social class made an independent contribution to the mortality risk. Conclusions : The findings of this study suggests that the relationships of occupational class, educational level and deprivation with mortality appears to be stronger in Korea than in European countries.
Using the data from the Family Income & Expenditure Survey, this study investigated (1)the factors determining the level of burden of the private educational expenditure in households; (2) the influences of the level of the burden of private educational expenditure on the other household expenditures. For the analysis of data Chi-square, GLM, Multinomial legit, and Seemingly Unrelated Regression were applied. The major findings were: (1) The factors associated with the burden of private educational expenditure were the number of students by each of the school levels, housing tenure, location of residence, educational attainment of householder; (2) Households with the lower level of burden of the private educational expenditure adjusted the allocation of the expenditure shares of food, utility, and transportation and did not reduce the levels of consumption. Households with the higher level of burden of the private educational expenditure adjusted the extensive ranges of the household expenditure shares and reduced the levels of consumption.
Journal of Fisheries and Marine Sciences Education
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v.27
no.2
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pp.452-466
/
2015
The study analyzed the result of a survey on educational programs after the provision of professional development education in textile-based industries, with the aim of suggesting a method of evaluating professional development education, by shedding new light on the educational contents and environment required by industries and on the components required to strengthen competence based on an evaluation of the outcomes of such educational programs. Methods of analysis included frequency & average analysis, ANOVA and portfolio analysis, and a questionnaire containing seven questions on satisfaction with 'educational contents,' six questions on satisfaction with 'educational environment,' three questions on educational effect and questions on overall satisfaction with education was used as an analysis tool. Data used in the analysis was obtained through a survey of the attendants of lectures given from January 2014 to September 2014, and the respondents included 30 persons enrolled in CEO courses, 167 persons enrolled in employment courses and 101 persons enrolled in employment & start-up business courses. The results of the research are as follows. 1. Looking at frequency distribution by educational course, it was shown, from highest to lowest, to be Incumbent Courses (167 persons, 56%), Employment & Start-up Courses (101 persons, 33.9%) and CEO Courses (30 persons, 10.1%). Looking at average analysis by question, the value of most questions on Employment & Start-up Courses turned out to be lower than Employment Courses and CEO Courses. 2. Through a variance analysis on questions related to educational courses (Employment & Start-up Course, Incumbent Course & CEO Course) and post-verification, it turned out that Employment Course is in the same group as the CEO Course in most questions, and that Employment & Start-up Course was a separate group. 3. Overall satisfaction with education turned out to be as high, at 4.1 out of 5. 4. Through a portfolio analysis on educational courses, it was found that 'Overall Satisfaction with Educational Contents,' 'Usefulness of Educational Contents,' 'Overall Satisfaction with Educational Environment' and 'Quality and Ability of Instructors' were included in areas of recommendation.
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