• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.117-130
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• 2019

After Marx, the issues regarding human labour have been the alienation towards production means and the distributive justice. Fourth industrial revolution and development of AI(Artificial Intelligence) opened the possibility of a independent production and economy system absolutely excluding against human nature and labour. Using robots and AI will deepen demarcation between living things and one not having life, separating the intelligence from the consciousness. At present, so called pre-stage of post human, seeking interests for life, new social relationship and new community will be increased as well. We can understand that interests for small community, self-sufficiency, dailiness, food and body in this context is increasing too. Representative trend towards this cultural phenomena is called as the 'Kinfolk culture.' Work-life balance, 'Aucalme', 'Hygge', 'So-Hwak-Haeng'(a small but reliable happiness) are the similar culture trends as. Vital capitalism, presented by O-Yong Lee, seeks focusing onto living things principles, e.g. 'topophilia', 'neophilia', and 'biophilia' as the dynamics looking for the history substructure, not class struggle and conflicts. He also argues the 'Vital Capitalism' be regarded as a new methodology to anticipate a social system after post human era. G. Deleuze said "arts is another expression method for existential philosophy. It gives a vitality onto philosophy and gives a role to letting abstract concept into definite image." We can find a lot cases arts' imagination overcomes critical point of scientific prediction power in the future prediction. This paper reviews ideas and issues of 'vital capitalism' in detail and explorers imaginating initial ideas of vital capitalism in the film 'Little Forest.'

• 지역과문화
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• v.5 no.1
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• pp.65-84
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• 2018

The purpose of this study is to develop education programs for effective education of Jeong-gan-bo. Jeong-gan-bo is a unique piece of music made during King Sejong's reign. Starting in the third grade elementary school, Jeong-gan-bo begins to develop. If you fail to understand Jeongganbo in lower grades, you often give up scores of music in a more detailed and complicated manner. This is why we need a customized education program for the first time in lower grades. For this purpose, the basic process of understanding the Jeongganbo is understood to be played as a traditional play. This study consists of the elementary school the 3rd grade scenario. This study consists of the second - grade class scenarios for the 3rd grade elementary school students, the curriculum is centered on the curriculum, which is currently in the 3rd grade curriculum, curriculum in 2009. The program learns to play the rhythm of the 1st phase, the code of the 2nd stage of Jeong-dan, and play the rhythm through play through play. Step 1 is not only visually recognizable, but also a direct sign of the code. The second phase consists of the basic composition of Jeongganbo, through the basic composition of Jangdan, and learns the exact rhythm of Jeongganbo. The results of the study can be divided into meaningful meaning in terms of educational significance and educational content development in terms of educational significance. The methods used to understand the exercises and play games were effective in understanding the contents of Jeongganbo, and also meaningful to the role of traditional music in the context of various programs.

• Korean Journal of Culture and Social Issue
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• v.22 no.1
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• pp.119-135
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• 2016

We tried to develop the school violence prevention program which focuses on the bystanders. In the context of school violence, most students are bystanders. They can either reinforce the violence or stop the violence. We hypothesized that the students who know their own temperament dimensions such as novelty seeking, harm avoidance, and reward dependence (Cloninger, 1994) will show more tendencies to defend victims from school violence when they learned the methods to prevent school violence in accordance to their temperament dimensions. 351 Korean middle school students participated the 4 sessions of school violence prevention program. The students completed the questionnaires to identify their own behavior in school violence situations. In the experimental group(temperament group), students learned the methods to help the victims that suits with their own temperaments. Whereas, the comparison group just attend the class regardless of their temperaments. Both groups showed significant increase in the trend of defending the victims. However, the temperament group showed more tendency to protect/defend the victims than the comparison group when they faced with school violence. These results show that students can learn the methods of defending victims from school violence more easily by knowing their own temperament dimensions, and can be the prepared and the effective defenders.

• The Journal of Sustainable Design and Educational Environment Research
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• v.22 no.4
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• pp.9-17
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• 2023

This study explores school location, school environment, educational conditions, and appropriate scale of schools in the context of Sejong City's development area and identifies effective school establishment plans based on the analysis of the needs of the educational community. The research questions for this study include, first, what is the change trend in the number of students as a result of the opening of schools in the development area of Sejong City to the present, and what differences are there between Sejong and other new cities? Second, what challenges arise in school location due to the occurrence of oversized schools and undergraduate institutions? Third, what challenges arise in school location that would limit the ability to create a safe school environment? Fourth, what aspects need to be improved in school location decisions to promote proper placement? A survey was conducted among parents and faculty members to collect data. The findings revealed that first, when establishing a school, identifying an appropriate location for the school was the top priority of the respondents. The second was the proximity of the school to dense housing, with a parent drop zone next to the school site. Third, to address the issue of lack of playgrounds and special class and care classes, respondents called for various measures such as securing school sites within a certain area. Finally, integrated operation schools and school facilities are required in preparation for decreasing school-age populations due to low birth rates.

• Communications of Mathematical Education
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• v.37 no.4
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• pp.717-736
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• 2023

The purpose of this study is to develop a statistical program using data and artificial intelligence prediction models and apply it to one class in the sixth grade of elementary school to see if it is effective in improving students' statistical literacy. Based on the analysis of problems in today's elementary school statistical education, a total of 15 sessions of the program was developed to encourage elementary students to experience the entire process of statistical problem solving and to make correct predictions by incorporating data, the core in the era of the Fourth Industrial Revolution into AI education. The biggest features of this program are the recognition of the importance of data, which are the key elements of artificial intelligence education, and the collection and analysis activities that take into account context using real-life data provided by public data platforms. In addition, since it consists of activities to predict the future based on data by using engineering tools such as entry and easy statistics, and creating an artificial intelligence prediction model, it is composed of a program focused on the ability to develop communication skills, information processing capabilities, and critical thinking skills. As a result of applying this program, not only did the program positively affect the statistical literacy of elementary school students, but we also observed students' interest, critical inquiry, and mathematical communication in the entire process of statistical problem solving.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.12
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• pp.505-518
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• 2023

3D point cloud semantic segmentation is a computer vision task that involves dividing the point cloud into different objects and regions by predicting the class label of each point. Existing 3D semantic segmentation models have some limitations in performing sufficient fusion of multi-modal features while ensuring both characteristics of 2D visual features extracted from RGB images and 3D geometric features extracted from point cloud. Therefore, in this paper, we propose MMCA-Net, a novel 3D semantic segmentation model using 2D-3D multi-modal features. The proposed model effectively fuses two heterogeneous 2D visual features and 3D geometric features by using an intermediate fusion strategy and a multi-modal cross attention-based fusion operation. Also, the proposed model extracts context-rich 3D geometric features from input point cloud consisting of irregularly distributed points by adopting PTv2 as 3D geometric encoder. In this paper, we conducted both quantitative and qualitative experiments with the benchmark dataset, ScanNetv2 in order to analyze the performance of the proposed model. In terms of the metric mIoU, the proposed model showed a 9.2% performance improvement over the PTv2 model using only 3D geometric features, and a 12.12% performance improvement over the MVPNet model using 2D-3D multi-modal features. As a result, we proved the effectiveness and usefulness of the proposed model.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.4
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• pp.127-142
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• 2022

According to social change, entrepreneurship education at university is drawing attention as a means to cultivate convergent creative competency required by the times. Currently, the number of entrepreneurship education at university is increasing every year, and quantitative expansion is taking place, but quality advancement of education remains a task. In this context, this study conducted an action research with the aim of revitalizing entrepreneurship education and upgrading quality, and developing a entrepreneurship education program suitable for general elective courses operated by universities. In the process of the study, first, through literature analysis related to entrepreneurship education at university, educational contents and teaching methods of entrepreneurship education were confirmed. Based on this, the IPA analysis was used to analyze the educational needs of students for entrepreneurship education contents and design a program that reflects this. The designed program was applied and operated to the entrepreneurship education of A University, and improvements were derived and improved by analyzing the opinions of learners in the action research process. The entrepreneurship education program developed through this study was composed as follows. The necessity of entrepreneurship education at the beginning of the lecture is sufficiently presented, and the knowledge necessary for start-up, including idea discovery and business model design, is delivered through theoretical lectures by teacher-centered method. In the second half of the lecture, students with similar interests are gathered into teams and learner-centered practical activities are operated. The contents of the activities include information on idea discovery, business model design, business plan and pitching. Practical activities for each team are conducted during class hours, and the professor advice on difficulties for each team.

• Journal of The Korean Association For Science Education
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• v.27 no.9
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• pp.854-869
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• 2007

In this study, we investigated secondary science teachers' internalization of constructivistic science teaching who participated in a collaborative program between teachers and researchers designed by researchers according to constructivist views. The program consisted of lecture, workshop, and small group activities. New trends in science education and framework for science teaching were introduced during lectures, and understanding about the framework were deepened by analyzing school science classes recorded during workshops. In small group activities, participating teachers and researchers cooperated to design science lesson plans using science teaching frameworks. Five secondary science teachers participated in collaborative workshops. Collaborative programs were video-taped. Semi-structured interviews were conducted before and after workshops. All data recorded were transcribed and analyzed. In the process of internalization, participating teachers attended on different parts. Various and discernable factors such as there own background, beliefs, values, and school context produced tensions with or facilitated internalization of constructivistic science teaching. Teaching experiences and student understanding affected teachers' lesson planning activities. Teachers also showed different understandings on inquiry, application, and model from the framework, and they interpret those concepts in the framework based on their prior understanding. They perceived that too much content should be dealt within relatively limited time. Therefore, they tended to separate science class into two parts when developing science lessons: explaining science content by lecture and science laboratory as a constructivistic activity. The results of the study provide meaningful implications to the constructivist teacher education and professional development.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.253-266
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• 2018

This paper proposes a methodology applying sequence tagging methodology to improve the performance of NER(Named Entity Recognition) used in QA system. In order to retrieve the correct answers stored in the database, it is necessary to switch the user's query into a language of the database such as SQL(Structured Query Language). Then, the computer can recognize the language of the user. This is the process of identifying the class or data name contained in the database. The method of retrieving the words contained in the query in the existing database and recognizing the object does not identify the homophone and the word phrases because it does not consider the context of the user's query. If there are multiple search results, all of them are returned as a result, so there can be many interpretations on the query and the time complexity for the calculation becomes large. To overcome these, this study aims to solve this problem by reflecting the contextual meaning of the query using Bidirectional LSTM-CRF. Also we tried to solve the disadvantages of the neural network model which can't identify the untrained words by using ontology knowledge based feature. Experiments were conducted on the ontology knowledge base of music domain and the performance was evaluated. In order to accurately evaluate the performance of the L-Bidirectional LSTM-CRF proposed in this study, we experimented with converting the words included in the learned query into untrained words in order to test whether the words were included in the database but correctly identified the untrained words. As a result, it was possible to recognize objects considering the context and can recognize the untrained words without re-training the L-Bidirectional LSTM-CRF mode, and it is confirmed that the performance of the object recognition as a whole is improved.

• Journal of The Korean Association For Science Education
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• v.37 no.6
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• pp.937-949
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• 2017

In this study, we investigated how science teachers perceive the changes in school systems, including infrastructure and curriculum, in the context of preparing for future education. And the changes in their perception of the educational environment, the challenges, and changes of science teachers' classroom practices were also explored. In-depth interviews and analysis were conducted with two science teachers in a middle school that is trying to innovative on changes compared with general schools. The results of the study are as follows: First, teachers perceived that their schools had factors that could change the science class in terms of school size and infrastructure, peer teacher culture, and students' abilities. Second, the enthusiasm of teachers who are trying various ways of teaching and the students' ability to adapt in a smart learning environment formed a synergistic circle that lowered entry barriers to trying changes. Third, science classes changed to activity-centered classes, and teachers realized that these changes promoted students' self-directed learning. Fourth, teachers perceived themselves as playing an independent role in curriculum management, and this perception promoted more varied attempts in improving their classes. Through the changes of the learning environment and systems of the school and the formation of a culture that shares their challenges and innovations with the voluntary learning community, teachers constantly try to change their classes and schools. The changes of school need to be understood in the context of the interaction of teachers, students, and infrastructure.