• 대학교육
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• s.82
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• pp.128-131
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• 1996

• Journal of the Korean association of regional geographers
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• v.8 no.4
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• pp.492-512
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• 2002

The daily life activities of primary school children have been increasingly diversified. This research examined the spatio-temporal characteristics of primary school children's daily life activities. The time allocation of primary school children's daily activities was monotonous. They tended to spend most of their time in school activities, private lessons after school, and studying at home. The daily trip to school has been diversified as the result the of increase in the number of double-income families, car owners, facilities for pastime, and educational facilities for private lessons after school. The selection of educational facilities for private lessons was strongly influenced by accessibility to the residence because of the limited time budget of primary school children and the controlled trip behavior by parents. The leisure activities were considered as a minor function and took place in the interval of performances of study-related activities. The high proportion of leisure activities was found in the indoor play. The amount of the time for leisure activity was very insufficient. The spatial range and time budget were strongly influenced by the institutional conditions of parents.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.163-166
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• 2007

본 연구에서는 우수 학생을 알아보기 위해 학생들의 학습 성과 및 과외활동을 바탕으로 평가모형을 설계하고 AHP(Analytic Hierarchy Process) 기법을 통해 분석하였다. 대부분의 대학에서 시행되고 있는 장학금 제도는 평가 기준이 해당 학기 평점으로 장학금 혜택을 받는 학생들이 일부 학생으로 제한되는 경우가 생기기도 한다. 실제로 평점뿐 아니라 다른 평가 기준을 가지고 학생들을 평가하여 학생들의 다양한 특성을 키워 줄 필요가 있다 평점만으로 학생을 평가하는 방식이 아닌 다양한 기준의 평가 모형을 가지고 학생들을 평가하는 새로운 방식의 학생평가모델을 제안하고자 한다.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.353-368
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• 2018

The purpose of this study is to examine the effect of private tutor's job stress on the organizational commitment and turn-over intention and to verify the mediating effect of the organizational commitment. The questionnaire survey was peformed for 332 private tutors in special education region in Seoul. The collected data were used as a model of path coefficients obtained through analysis of structure equation model(SEM) and hypothesis verification. The result of the verification is as follows. First, both stress by student and stress by administrative support showed statistically significant negative effects on the organizational commitment. Second, the private tutor's organizational commitment showed a statistically significant negative effects on the turn-over intention. Third, both stress by task and stress by conflict in organization showed statistically significant positive effects on the turn-over intention. Fourth, even if both stress by student and stress by administrative support showed statistically no significant effects on the turn-over intention, they showed statistically significant effects on the turn-over intention with the mediating effect of the organizational commitment. It was confirmed that the turn-over intention can be decreased by relief of the private tutor's job stress and enhancement of the organizational commitment. In this process, it is meaningful to verify the role and function of the private tutor's organizational commitment.

• Journal of the Korean School Mathematics Society
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• v.10 no.3
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• pp.323-340
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• 2007

This study set out to analyze the learning types that most students were engaged in after school, to review the efficiency of private education through academic institutions or tutoring, and to examine the directions in the after-school learning in math under the current system. It also aimed to analyze the impacts of those after-school learning activities on school classes and to suggest some plans to help public education get back on the track. In the study the after-school learning activities in the math subject were categorized into taking classes at academic institutions, tutoring, and autonomous learning. The grades of the subject students were compared and analyzed for three semesters to find the directions right for the school classes.

• Journal of Families and Better Life
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• v.29 no.4
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• pp.17-33
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• 2011

The purpose of this study was to investigate diversity in the situations of multicultural families regarding the education of their children and to suggest rational ways of educating children in multicultural families. The participants in this study were 16 mothers from multicultural families typically characterized by an international marriage in which a Korean male had married a non-Korean female. The data were collected using intensive interviews over a course of three months and were analyzed by grounded theory. The results of this study showed that the participants had difficulty in adapting to the styles of educating children in Korean families and that they could not help their children do homework by themselves due to the limited personal relationships, the shortage of information about educating children, and an lack of organized education programs on Korean culture and history. Thus, they solved these problems by depending on different extracurricular activities and thus incurred a financial burden to support these activities. This led to excessive amounts of time and energy to earn the money to support the activities, which gave them few opportunities to acquire information on educating children by, for example, meeting with others. This explained their dependency on different extracurricular activities so as to solve the problem of their educating children. In an effort to seek ways to break this vicious circle, this study emphasized that policies related to educating children in multicultural families should focus on helping multicultural families strengthen their abilities to educate their children fundamentally.

• Journal of Intelligence and Information Systems
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• v.11 no.3
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• pp.57-67
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• 2005

Data mining techniques enable us to generate useful information for decision support from the data sources which are generated and accumulated in the process of routine organizational management activities. College administration system is a typical example that produces a warehouse of student records as each and every student enters a college and undertakes the curricular and extracurricular activities. So far, these data have been utilized to a very limited student service purposes, such as issuance of transcripts, graduation evaluation, GPA calculation, etc. In this paper, we utilized Holland career search test results, TOEIC score, course work list and GPA score as the input for data mining, and we were able to generate knowledge and rules with regard to the college road map advisory service. Factor analysis and AHP(Analytic Hierarchy Process) were the primary techniques deployed in the data mining process. Since these data mining techniques are very powerful in processing and discovering useful knowledge and information from large scale student databases, we can expect a highly sophisticated student advisory knowledge and services which may not be obtained from the human student advice experts.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.266-273
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• 2005

Data mining techniques enable us to generate useful information for decision support from the data sources which are generated and accumulated in the process of routine organizational management activities. College administration system is a typical example that produces a warehouse of student records as each and every student enters a college and undertakes the curricular and extracurricular activities. So far, these data have been utilized to a very limited student service purposes, such as issuance of transcripts, graduation evaluation, GPA calculation, etc. In this paper, we utilize Holland career search test results, TOEIC score, course work list, and GPA score as the input for data mining and generation the student advisory information. Factor analysis, AHP(Analytic Hierarchy Process), artificial neural net, and CART(Classification And Regression Tree) techniques are deployed in the data mining process. Since these data mining techniques are very powerful in processing and discovering useful knowledge and information from large scale student databases, we can expect a highly sophisticated student advisory knowledge and services which may not be obtained with the human student advice experts.

• Survey Research
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• v.11 no.1
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• pp.43-61
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• 2010

This research estimated the variation of high school students' academic achievement by using the second to the fourth wave KEEP(Korea Education and Employment Panel) data. We explored the effects of study on academic achievement in proportion to self-regulated learning hours(except for school work and private tutoring). Analysis variables were self-directed learning(study) hours throughout senior high school and 9 grade academic achievement. We conducted Latent Growth Model(LGM) using KEEP panel data and program LISREL 8.8. Results showed that there were significant effects of self-regulated learning hours on the variation of senior high school students' academic achievement. Therefore, this was considered to be useful tips in getting the relation between students' learning and academic achievement.

• Journal of KIISE:Software and Applications
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• v.34 no.1
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• pp.40-51
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• 2007

To improve academic achievement, the most students not only participate in regular classes but also take various extra programs such as private lessons, private institutes, and educational TV programs. In this paper, we propose a data mining approach to identify which studying methods or usual life patterns during a school vacation affect changes in the academic achievement. First, we derive various studying methods and life patterns that are thought to be affecting changes in the academic achievement during a school vacation. Second, we propose the method of transforming and analyzing data to apply them to decision trees and association rules, which are representative data mining techniques. Third, we construct decision trees and find association rules from the real survey data of middle school students. We have discovered four representative results from the decision trees. First, for students in the higher rank, there is a tendency that private institutes give a positive effect on the academic achievement. Second, for the most students, the Internet teaming sites nay give a negative effect on the achievement. Third, private lessons that have thought to be making a large impact to the achievement, however, do not make a positive effect on the achievement. Fourth, taking several studying methods in parallel nay give a negative effect on the achievement. In association rules, however, we cannot find any meaningful relationships between academic achievement and usual life patterns during a school vacation. We believe that our approach will be very helpful for teachers and parents to give a good direction both in preparing a studying plan and in selecting studying methods during a school vacation.