• Journal of the International Relations & Interdisciplinary Education
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• v.3 no.2
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• pp.29-45
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• 2023

The purpose of this study is to explore tasks based on the current status of autonomous schools currently in operation. The research method used the method of literature research. In addition, the research contents were divided into the significance and development of autonomous schools, the types of autonomous schools, the current status of autonomous schools, and the areas of tasks. In the significance and development of autonomous schools, as alienation from standardized and standardized education occurred, autonomous schools with special cases for school and curriculum operation were systematically guaranteed for the improvement and development of the education system, including the school education system. Next, the types of autonomous schools were divided into general autonomous schools and Jeju autonomous schools. The general type is based on the Elementary and Secondary Education Act, and the Jeju type is operated under the Jeju Special Act, and the contents are also different, so their characteristic aspects were examined. Finally, the current status and tasks of autonomous schools were discussed. The characteristic aspects of the general and Jeju types, which differ in legal basis and content, were examined, and tasks were presented accordingly. The tasks were presented as the large number of autonomous schools, the concentration by region and type, the use of special cases mainly on institutional aspects such as principal qualifications and school management committees, and the smoothness of manpower support in Jeju. As a result of these discussions, it was requested to operate a substantial autonomous school, not a formal autonomous school operation.

• KDI Journal of Economic Policy
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• v.38 no.3
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• pp.1-15
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• 2016

Improving the quality of school education is one of the key policy concerns in Korea. This paper examines whether providing schools with adequate autonomy and incentives can meet the policy goals by looking at a recent policy reform in Korea. In 2009, the Korean government granted autonomy to certain private high schools on the condition that no financial subsidies would be provided to the schools. Because the autonomous private high schools cannot receive a subsidy, they have a strong incentive to meet parental demands because schools failing to meet these demands will lose students and will have to close. Applying the value-added model to longitudinal data at the student level, I find that students entering these autonomous schools show faster growth in their academic achievement than their peers in traditional non-autonomous schools. These results suggest that providing schools with autonomy and incentives can be a useful policy tool for improving school education.

• Journal of Creative Information Culture
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• v.7 no.1
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• pp.43-52
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• 2021

In this paper, the necessity of independent operation of information curriculum was suggested by analyzing the changes and problems of elementary school information curriculum. Also, a plan was suggested to organize autonomous subjects for autonomous activities so that information education can be independently operated in elementary schools. Autonomous activity is an extension of the concept of creative experience activities, and refers to an educational activity time in which autonomous courses or various educational activities can be freely operated by reflecting the needs of students and parents or the characteristics of the school. It means a subject that you choose to run or do not have to choose. In the case of running an independent curriculum using the discretionary time of the principal, such as voluntary activities, the "safe life" of the 1st and 2nd graders in the 2015 elementary school curriculum and the 7th junior high school curriculum operate elective courses in subject discretionary activities. One can be found. Therefore, if information education in elementary schools can be organized and operated as autonomous subjects, at least students who want to learn artificial intelligence, coding, and big data will have an opportunity to learn in public education.

• The Journal of Economics, Marketing and Management
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• v.10 no.1
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• pp.1-14
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• 2022

Purpose: The purpose of this study is to analyze the measurement results of the financial comprehension test conducted ten times in order to study the financial comprehension. Research design, data, and methodology: In this study, correct answer rates in the Economics and Finance Literacy Certification Test were analyzed across ten rounds of tests taken by 6,662 high school students in Korea. Result: The analysis revealed that Korean high school students' level of financial literacy generally increased as the grade level increased, and the correct answer rates of students at autonomous high schools and special-purpose high schools were statistically different from those of students at general academic high schools and specialized high schools. Conclusion: We can therefore infer that students at specialized high schools face limitations in tackling financial problems due to their lack of proficiency in interpretation and calculation of data necessary for real life financial decision-making. In contrast, students at general academic high schools, special-purpose high schools, and autonomous high schools who do not learn finance as a part of their official curriculum at school were lacking in basic financial knowledge as well as knowledge about the financial system compared to students at specialized high schools, highlighting the need for a measure to address the deficiency.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.201-208
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• 2023

As the demand for AI education increases, AI education is actively conducted in the educational field, but it is difficult to internalize AI education due to securing time, difficulty in organizing class contents, and lack of curriculum. As a way to solve this problem, there is a school autonomous course. The school autonomous course allows schools to have autonomy and discretion throughout the curriculum, such as adjusting the number of hours in the subject group and restructuring the use of achievement standards. In this study, in order to enhance AI education, the effect was analyzed by developing and applying an AI education immersion course using a school autonomous curriculum. In the AI education immersion course, students continuously experience AI education in a dense manner within a limited time, so substantial AI education can be achieved. After the AI curriculum, it was found that students' overall AI literacy and self-determination learning motivation improved. It is expected that this study will be able to present a direction to internalize AI education using school autonomous curriculum.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.1
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• pp.77-82
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• 2022

The effect of indoor air pollution on the human body is greater and more dangerous than outdoor air pollution. In general, a person stays indoors for a long time, and in a closed room, pollutants are continuously accumulated and the polluted air is better delivered to the lungs. Especially in the case of young children, it is very sensitive to indoor air and it is fatal. In addition, methods to reduce indoor air pollution, which cannot be ventilated with more frequent indoor activities and continuously increasing external fine dust due to Covid 19, are becoming more important. In order to improve the problems of the existing autonomous driving air purifying robot, this paper divided the map and Upper Confidence bounds applied to Trees(UCT) based algorithm to solve the problem of the autonomous driving robot not sterilizing a specific area or staying in one space continuously, and the problem of children who are vulnerable to indoor air pollution. We propose a space-adaptive autonomous driving air purifying robot for a green smart school that can be improved.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.227-237
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• 2021

In this thesis, a survey was conducted on elementary school teachers about the establishment of information subjects in elementary schools. As a result, the opinion that information subjects should be newly established for ICT literacy education and SW/AI education in elementary schools was very high. In addition, if it is difficult to establish a new information subject, opinions in favor of the organization of the information subject as an autonomous subject using the discretionary time of the principal were high. In light of the results of this analysis, it is judged that it is necessary to establish a new information subject for ICT literacy education and SW/AI education in the next elementary school curriculum. However, if it is difficult to establish a new information course, it is necessary to come up with a plan that can be operated in the form of autonomous subject for students wishing to learn SW/AI. And it is judged that the number of class hours should be secured for at least 1 hour or 2 hours per week in the 3rd grade and above.

• School Mathematics
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• v.16 no.1
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• pp.157-180
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• 2014

This study investigated relationships between academic stress and mathematics learning motivation focusing on the mediating effect of academic motivation types. It also tested differential structural relationship among the variables in the high vs. low academic achievement level groups and the boys vs. girls of middle schools. The participants were 952 second graders from five middle schools. Student scores from the standardized tests that were developed to assess the students' academic stress, mathematics learning motivation, and three types of motivation (amotivation, controlled motivation, and autonomous motivation) were used in this study. The results demonstrate that there were significant differences in the relationship patterns of the research variables. Correlation analysis provided evidences that academic stress was negatively related with mathematics learning motivation and autonomous motivation but positively related with amotivation and controlled motivation. Also, mathematics learning motivation was negatively related with amotivation and controlled motivation but positively related with autonomous motivation. Structural equation modelling analysis provided the evidence that the full mediation model was a significant, in that the students' types of academic motivation mediated the effect of academic stress on mathematics learning motivation. Multiple group analysis revealed that there were group differences in the path coefficients of the structural model. But the academic stress showed negative influence on the mathematics learning motivation via amotivation and autonomous motivation in all groups.

• Journal of the Korean Society of School Health
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• v.28 no.1
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• pp.31-37
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• 2015

Purpose: The aim of this study is to investigate the relation of the unhealthy eating habit of high school students in Seoul with their school types. Methods: In cross-sectional study, secondary data was used, representative sample of 7,284 subjects, high school students in Seoul. Consumption rates of Ramyun, Fast-food, and a breakfast-skipping rate were compared by the gender, grade, and school type. Descriptive statistics, ${\chi}^2$ analysis, correlation, and multiple logistic regression were used for data analysis. Results: The odds ratios (OR) of associated factors on the breakfast-skipping were 1.25 times higher in the 11th grade, 1.26 times in the 12th grade (reference: 10th grade), 1.21 times in school for both gender (reference: only male gender), 2.63 times in the general high school, 4.82 times in the vocational (reference: the autonomous private). The odds ratios (OR) of associated factors on frequent Ramyun intake were 2.10 times in male, 1.79 times in both gender (reference: only male gender), 2.01 times in the general high school, vocational 5.26 times (reference: the autonomous private). The odds ratios (OR) of associated factors on frequent Fast-food intake were 1.89 times in school for both gender (reference: only male gender), 3.93 times in the vocational high school (reference: the autonomous private). Conclusion: Students of the vocational high school than those of the autonomous private had more and more the breakfast-skipping rate, and had more consumption rates of Ramyun and Fast-food. Therefore, in order to improve these problems, intervention for students, diversified school health policy as well as health education to right food intake consumption are needed.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.246-256
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• 2022

Recently, parents and teachers consider physical education as a minor subject for students in elementary and secondary schools. Physical education performance has become increasingly significant as parents and schools pay more attention to physical schooling. The sports mining with distribution analysis model considers different factors, including the games, comments, conversations, and connection made on numerous sports interests. Using different machine learning/deep learning approach, children's athletic and academic interests can be tracked over the course of their academic lives. There have been a number of studies that have focused on predicting the success of students in higher education. Sports interest prediction research at the secondary level is uncommon, but the secondary level is often used as a benchmark to describe students' educational development at higher levels. An Automated Student Interest Prediction on Sports Mining using DL Based Bi-directional Long Short-Term Memory model (BiLSTM) is presented in this article. Pre-processing of data, interest classification, and parameter tweaking are all the essential operations of the proposed model. Initially, data augmentation is used to expand the dataset's size. Secondly, a BiLSTM model is used to predict and classify user interests. Adagrad optimizer is employed for hyperparameter optimization. In order to test the model's performance, a dataset is used and the results are analysed using precision, recall, accuracy and F-measure. The proposed model achieved 95% accuracy on 400^th instances, where the existing techniques achieved 93.20% accuracy for the same. The proposed model achieved 95% of accuracy and precision for 60%-40% data, where the existing models achieved 93% for accuracy and precision.