• Journal of Digital Convergence
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• v.18 no.5
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• pp.55-63
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• 2020

Recently, there is a strong interest in SW basic education for non-major students in universities, but SW non-majors are having a hard time learning. This paper proposes a class operation method that utilizes customized contents reflecting the interests of non-majors, rather than using existing learning contents for SW majors. The proposed method is to improve the education effects by increasing the learning motivation of SW non-majors. The paper shows a case study of A university, which has operated non-major SW basic education for more than five years. The case study analyzed the change of class satisfaction of students of pre- and post- learning group that reformed major-friendly contents about the same curriculum. As a result, the students of social sciences are interested in learning contents using public data that can examine the social and cultural phenomena of the country, and humanities students are interested in text contents such as novels, history books, and SNS articles. In addition to the understanding of the lectures, the class satisfaction was also greatly improved, and it showed that the major-friendly contents is useful for SW basic education of non-majors.

• Journal of Internet Computing and Services
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• v.20 no.4
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• pp.81-90
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• 2019

Since 2015, the government has been striving to strengthen the software capabilities required for future talent through software-oriented university in Korea. In the university selected as a software-oriented university, basic software education is given to all departments such as humanities, social science, engineering, natural science, arts and the sports within the university in order to foster convergent human resources with different knowledge and software literacy. In this paper, we analyze the contents of basic software education for twenty universities selected as software-oriented universities. As a result of analysis, most of the basic software education which is carried out to the students of the non-majors students was aimed at improvement of problem solving ability centered on computational thinking for future society and improvement of convergence ability based on computer science. It uses block-based educational programming language and text-based advanced programming language to adjust the difficulty of programming contents and contents reflecting characteristics of each major. Problem-based learning, project-based learning, and discussion method were used as the teaching and learning methods for problem solving. In the future, this paper will help to establish the systematic direction for basic software education of non-majors students.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.740-751
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• 2021

To overcome the drawbacks of existing classes, this study developed a liberal arts education class model based on online-collaborative learning under the cloud based class environment. That will be the comprehensive model for classics reading, discussion education and foreign language education. This study started from the need of developing the college classes for embodying the collective intelligence. This course must be effective to maximize the educational effects and mutually interdisciplinary progress. Therefore, the offer of the applicable model will be able to establish collective intelligence and extend the educational effects. This study presented the proposed comprehensive model effects as follows: 1) this comprehensive model could create the learning environment so that individual intelligence may be converged into collective intelligence. 2) regarding their intellectual inquiry and the contents of thought, this model could activate the learners' participation in the discussion by mutually exchanging the feedbacks between teacher-learner and learner-learner. 3) cloud based online-collaborative learning environment could reduce learners' affective burden and overcome the drawback of offering the offline limited data. Thus, given these results, this model can be expected to allow us to draw the positive results in overall education fields along with liberal arts education, discussion education and foreign language education.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.2
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• pp.53-66
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• 2023

Role models are also known to influence an individual's job or career choice. The positive effect of role models on entrepreneurship has already been revealed through many precious researches. It is said that people choose not only family members who are related by blood, such as parents, siblings, and relatives, but also acquaintances whom they have met through social relationships as role models. In this study, we divided into entrepreneurs with no role models other than themselves and entrepreneurs with role models. In addition, we classified parental siblings and relative role models as role models with strong ties, and acquaintance role models as role models with weak ties. We analyzed the differences in personal attributes, entrepreneurial orientation factors, and learning orientation between the entrepreneurs with role models and those without role models. Also, the differences in personal attributes, innovativeness, proactiveness, risk-taking propensity, and learning orientation between the entrepreneurs with strong ties role models and those with weak ties role models were examined. The empirical analysis results are as follows. First, it was found that the proportion of women entrepreneurs without role models is higher. Second, the entrepreneurs with role models with weak ties tend to run larger scale start-ups. Third, it was found that the entrepreneurs with role models of weak ties tend to have higher learning orientation. Fourth, gender shows the greatest influence on th absence or presence of role models. Fifth, it was found that learning orientation and startup size have the greatest influence on the decision of the role model with weak ties or that with strong ties.

• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.421-427
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• 2019

In this study, we examined the satisfaction level of J university's compulsory liberal arts subject with quantitative research. The results quantitative research are as follows. First, men are more interested in creative thinking, college life guidance and career path design than girls. Second, the level of satisfaction with the required liberal arts subject by grade was found to be without a statistical significant difference. Third, the satisfaction level of each line of learning was shown in the order of natural engineering, health and welfare, physical fitness, and humanities. The satisfaction level of the lines of learning was found to vary. Fourth, The satisfaction level of each campus was found to vary. The results of this study could be used as basic data to improve the college liberal arts curriculum, especially the compulsory liberal arts curriculum. The results of this study could be used as basic data to improve the college liberal arts curriculum, especially the compulsory liberal arts curriculum.

• Journal of Gifted/Talented Education
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• v.21 no.2
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• pp.357-372
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• 2011

Enhancing individual competitiveness as well as national competitiveness by fostering creative human resources are one of the important visions of the nation. Thus, fostering creative human resources should be important mission of the nation. The purpose of this study is to identify what type of creative human resources is possible, based on Korean culture and background. Qualitative research experts was given to six experts of academics, institutes, and industries in science, humanities, social science, and art. The result indicated that key words for fostering creative human resources in Korea are 'fusion' and 'integration', and the definition and factors of creative human resources as well as educational strategy to foster it depend upon them. How to foster creative human resources in life-long learning also discussed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.8
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• pp.1064-1070
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• 2020

In Korea, video-based news broadcasters are primarily classified into terrestrial broadcasters, general programming cable broadcasters and YouTube broadcasters. Recently, news broadcasters get subjective while targeting the desired specific audience. This violates normative expectations of impartiality and neutrality on journalism from its audience. This phenomenon may have a negative impact on audience perceptions of issues. This study examined whether broadcast news reporting conveys emotions and if so, how news broadcasters differ according to emotion type. Emotion types were classified into neutrality, happiness, sadness and anger using a convolutional neural network which is a class of deep neural networks. Results showed that news anchors or reporters tend to express their emotions during TV broadcasts regardless of broadcast systems. This study provides the first quantative investigation of emotions in broadcasting news. In addition, this study is the first deep learning-based approach to emotion analysis of broadcasting news.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.371-377
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• 2022

This study examines whether there are subjects and learners to pay attention to as 'processes' that have not been dealt with in Korean vocabulary education due to prioritizing learning outcomes, educational outcomes, and objects. In addition, the purpose of this study was to examine the educational value of the neologism and to suggest data construction method for it. Proposal to create a 'single-level list' of neologisms as a preliminary work to create a dictionary as a learning material to teach new words to academic purpose learners, taking neologism as the vocabulary in the blind spot and foreign academic purpose learners as learners in the blind spot stage. did The 'single-layered list' is to divide new words by period into coined words, meanings, culture, etc. and construct them as data. Through this study, we will help systematically teach Korean vocabulary by adding vocabulary to be learned as a 'process' to the results of Korean vocabulary education so far.

• Journal of Korea Multimedia Society
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• v.25 no.5
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• pp.748-756
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• 2022

Thanks to the competition of AlphaGo and Sedol Lee, machine learning has received world-wide attention and huge investments. The performance improvement of computing devices greatly contributed to big data processing and the development of neural networks. Artificial intelligence not only imitates human beings in many fields, but also seems to be better than human capabilities. Although humans' creation is still considered to be better and higher, several artificial intelligences continue to challenge human creativity. The quality of some creative outcomes by AI is as good as the real ones produced by human beings. Sometimes they are not distinguishable, because the neural network has the competence to learn the common features contained in big data and copy them. In order to confirm whether artificial intelligence can express the inherent characteristics of different arts, this paper proposes a new neural network model called Humming. It is an experimental model that combines vgg16, which extracts image features, and DeepJ's architecture, which excels in creating various genres of music. A dataset produced by our experiment shows meaningful and valid results. Different results, however, are produced when the amount of data is increased. The neural network produced a similar pattern of music even though it was a different classification of images, which was not what we were aiming for. However, these new attempts may have explicit significance as a starting point for feature transfer that will be further studied.

• 중국학논총
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• no.62
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• pp.85-100
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• 2019

The article purpose is 'Reading Chinese translation text as a Korean integrated education for Chinese students'. Although number of foreign students has increased rapidly to the economic growth of Korea, the influence of Korean Wave, and the popularity of Korean popular culture like K-pop at domestic universities but the problems of their curriculum have been found in many places. Korean literary education through novel text has an important place in Korean studies, but literary education is often excluded in Korean language education as a foreign language education. Chinese students already have background knowledge of Korean translation novels through Chinese novels. They can get the learning effect as the Korean language study. Second, they can compared with Korean national violence and Chinese national violence through 'Red Revolution' and understand about Korean-Chinese understanding of the times, social and cultural phenomena, Third, they are able to study the theory of literature itself. also It was the educational purpose pursued by the humanities. Chinese students develop their Korean language skills by studying the Brothers which are translated into Korean, and we can see the similarities and differences of national violence by comparing Korea's '4.19' with China's 'Cultural Revolution' After comparing people, background, dynamics of the space where they are located, we can raise awareness of the historical and social problems of both countries. It is possible to study subjects' memories of space, change of local meaning, the formation of urban space or individual space in the text in the specific space where national violence occurs. In this way, the method of learning Korean integrated education through Brothers of the Chinese translation novels makes an opportunity to look at national violence in the Korean-Chinese space of the 1960s and 1970s. It has a subjective perspective from subordination to the nationality of the modern nation-state. This is an educational effect that can be obtained through reading a Chinese translation novel as a Korean language integrated education.