• Journal of the Korean housing association
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• v.10 no.1
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• pp.85-95
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• 1999

The purpose of this study was to analyze the motives of residential mobility and variables which effect it through surveying questionaires of 240 housewives who lived in a tenement house. The analytical methods adopted in this study were factor analysis, one-way ANOVA, Duncan's multiple range test, multiple regression analysis. The SPSS+ program was used in analysis. The major findings were as follows: First, the motives were composed of 6 factors ; housing improvement, housing policy, accumulation of property, comfortable residential environment, educational environment, traffic convenience. Second, there were a significant differences in residential mobility according to socio-demographic and housing variables. Third, in analysis of variables which effect residential mobility, a housing improvement influenced by socio-demographic variables, an comfortable residential environment influenced by housing variables and also family life cycle was a variable that effect factors such as housing policy, accumulation of property, educational environment and traffic convenience.

• Journal of Families and Better Life
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• v.28 no.3
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• pp.1-12
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• 2010

This study identifies how marital interaction influences the marital instability of foreign wives. Data for the study were based on a snowball sampling of 101 foreign wives married to Korean husbands in Gyeongnam, Korea. The respondents reported higher levels of perceived spousal support, marital satisfaction, and sexual satisfaction, but reported lower levels of spousal hostility. A hierarchical regression analysis was conducted to identify the variables that affect marital instability. Independent variables included in the study were years married, religion, monthly income, educational level, perceived husband support, sexual satisfaction, marital satisfaction, and perceived husband hostility. While religion, educational level, sexual satisfaction, marital satisfaction, and perceived husband hostility had a strong effects on the marital instability of foreign wives, years of marriage, monthly income, and perceived husband support did not show significant effect on marital instability. Marital satisfaction had the strongest effect on marital instability.

• Journal of Korea Game Society
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• v.10 no.6
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• pp.37-45
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• 2010

The purpose of this paper is to analyze a positive educational effect of G learning(online game based learning). G learning has become an effective learning tool for constructivism based learning. Therefore, the paper developed G learning 'SKY math' and applied it to the elementary students. Through the analysis, the fact has been found that students' attitude and confidence for Math changed positively.

• Journal of the Korea Society of Computer and Information
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• v.23 no.6
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• pp.81-89
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• 2018

In this paper, we propose to investigate the existing EPL education related studies and to collect the total effect size for the improvement of high-level thinking through meta-analysis and to confirm the effect size according to various variables. So, we have objectively identified and generalized the practical effects of EPL education on the various elements of high-level thinking and high-level thinking. The results of the meta-analysis showed that 1) EPL is a teaching-learning tool that greatly improves students' high-level thinking. 2) Education based EPL has greatly contributed to the enhancement of creative thinking and logical thinking among high-level thinking. 3) Kodu, App Inventor, Scratch, and Dolittle was confirmed that the effect on the improvement of high-level thinking was great.

• Journal of the Korea Society of Computer and Information
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• v.24 no.9
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• pp.161-169
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• 2019

In this paper, we presented directions of future research based on the result of the systematic review about the effect of maker education. Selected paper were 32, and we analyzed papers in terms of research status, research design, participants, areas, learning style, and educational effect. As a result, the study on the effectiveness of the maker education started from 2016 and has been continuously increasing. Concerning participants, many studies focused on middle school students, upper grade elementary school students, and high school students. In the field of research area, maker education was applied most frequently to convergence education. Maker education has been the most studied in formal education, and problem solving ability and attitude were most verified as educational effects.

• Journal of Information Processing Systems
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• v.18 no.4
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• pp.500-509
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• 2022

With the rapid development of educational informatization, teaching methods become diversified characteristics, but a large number of information data restrict the evaluation on teaching subject and object in terms of the effect of English education. Therefore, this study adopts the concept of incremental learning and eigenvalue interval algorithm to improve the weighted decision tree, and builds an English education effect evaluation model based on association rules. According to the results, the average accuracy of information classification of the improved decision tree algorithm is 96.18%, the classification error rate can be as low as 0.02%, and the anti-fitting performance is good. The classification error rate between the improved decision tree algorithm and the original decision tree does not exceed 1%. The proposed educational evaluation method can effectively provide early warning of academic situation analysis, and improve the teachers' professional skills in an accelerated manner and perfect the education system.

• Journal of The Korean Association of Information Education
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• v.11 no.3
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• pp.259-266
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• 2007

Much efforts to use educational games for students' learning is being made actively at home. In this study the action levels of the educational game and the learners' personality types are main variables to be explored. It is expected that the results of this study would suggest how to utilize educational games in teaching and learning. The above is the result of the research about the level of action of educational games, the type of the personality, and the intrinsic motivation. It is considered that the result can be enough information for learners, parents of students and teachers who try to use and develop educational games. For example, it can be an idea to construct menus considering characteristics of learners in various steps of designing and developing educational games. And it can help to improve learners' intrinsic motivation especially if games are developed, distinguishing games for extrovert learners from those for introvert learners.

• The KIPS Transactions:PartA
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• v.17A no.6
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• pp.289-296
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• 2010

So far, previous works with respect to evaluating program contents have concentrated on the implementation of general educational content evaluation. In terms of the efforts required to solve problems, however, there are a few evaluation methods on educational programming language contents. Therefore, we propose new evaluation criteria for educational programming language contents. The detailed research contents can be summarized as follows. First, we analyze existing works and propose naval evaluation criteria for educational programming language contents. Second, the new evaluation criteria is verified by teachers who use Visual Basic educational contents via questionaries. Also, a program content is experimented via the evaluation criteria. Finally, it is expected that our proposed evaluation criteria for educational programming language contents can be used to evaluate newly developed educational programming language contents and to design its evaluation plans.

• Current Research on Agriculture and Life Sciences
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• v.30 no.2
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• pp.90-96
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• 2012

This study was investigated for the local festival's educational impact. And take advantage of local festivals and educational effectiveness of the educational factors that affects, local festivals, depending on the type, application factors and intention to revisit whether there are differences in educational projects have identified the effect. So take advantage of the educational needs of local festivals for the purpose is to recognize that. To this end, 2010 Cheongdo persimmon festival's visitors were surveyed. How to analyze the descriptive statistics and factor analysis, reliability analysis, multiple regression analysis, ANOVA was used. The results of multiple regression analysis, community education of local festivals, discretionary activities, and agricultural education in educational projects in local festivals factor effects showed positive effects. The results of ANOVA, type programs and performances of the factors exhibition programs, experiential programs were no significant differences between groups. Of intention to revisit, "will revisit" and "I do not know", "will not visit" and "I do not know" and "will not visit" was no significant difference between the groups. These results, focusing on the needs of local festivals take advantage of the educational implications for the proposed recognition.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.471-479
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• 2018

This research examines the sustainable mutual growth of academia and industry regarding human resource cultivation and recruitment of local communities. at the beginning of regularized survival competitions and university innovations according to University Basic Competence Evaluations and etc., This research considers the substantive effect of educational resources of universities on recruitment rates in the pursuit of enhancing university-industry cooperation. Therefore, to identify factors of recruitment rates, we employ a university-wise index based on a quantitative index of educational resources of universities. Regarding study methods, set-up and verification of hypothesis, empirical analysis, descriptive statistics analysis, and correlation analysis are used to identify the correlation between dependent variables and independent variables based on the three sub-indexes of open records at Higher Education including educational environments, educational finances, and research achievements. Implications were derived from multiple regression analysis results regarding education conditions and recruitment rates, educational finances and recruitment rates, and research achievement and recruitment rates. This research can be extended to predict regional university recruitment rates with empirical analysis considering regional characteristics.