• Journal of Convergence for Information Technology
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• v.7 no.1
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• pp.61-66
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• 2017

As the fourth industrial revolution becomes more popular and advanced services such as artificial intelligence and Internet of Things technology are widely commercialized, awareness of the importance of software is spreading. Recently, software education has been taught not only in elementary school and college but also in college. Also, there is a growing interest in computational thinking needed to solve problems through computing methodology and model. The purpose of this study is to design an app inventor course for non-majors software education based on computational thinking. As a result of the study, six detailed competencies of computational thinking were derived, and six detailed competencies were mapped to the app inventor learning elements. In addition, based on the computational thinking modeling, I designed an app inventor class for students who participated in IT curriculum of university liberal arts curriculum.

• Journal of The Korean Association of Information Education
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• v.26 no.5
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• pp.327-340
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• 2022

This study applied effective playful learning to increase the learning motivation of non-CS major students to help them achieve learning and to successfully operate online SW liberal arts classes for 560 students. As a result of analyzing the students' reflection journals, most of the students accepted the 'white radish' of dialect names as fun playful learning in the process of learning local variables and global variables. And they were surprised and amazed at discovering unexpected contents in our SW class. It was found that they experienced delight in learning, learning-flow, confidence, and intrinsic motivation. In the final term exam at the end of the semester, it was confirmed that the correct rate of 92% for questions related to local and global variables was higher than the average rate of other questions' correctness of 67.1%.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.151-158
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• 2021

The purpose of this paper is to examine the concept of computational thinking in an easy-to-understand way for non-computer majors. First, It is necessary to expand from the problem-solving perspective to the perspective of problem discovery and creation ability, and establish it as a thinking ability that can cultivate human-like thinking, that is, creative thinking. Second, the concept of computational thinking can be viewed not only in the cognitive aspect but also in the emotional motive and attitude aspect. Third, systematic design of teaching methods is needed based on the expansion of the concept to computational thinking that helps learners to improve their reflective ability. It is expected that the results of this study will serve as basic research for various attempts in terms of the purpose and teaching method of computational thinking education in the future.

• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.114-121
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• 2019

The purpose of this study was to examine the effects of the undergraduate research program(URP) among Korean students. URP is frequently implemented in STEM(Science, Technology, Engineering, Math) majors, and this study tested whether the participation of URP was effective in convergence competency, major satisfaction, and academic achievement. Data were collected from 101 participants and 117 non-participants of URP at an A university. The research results showed that the mean scores of convergence competency, major satisfaction, and academic achievement of the URP participating group were significantly higher than those of the non-participating group.

• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.288-295
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• 2020

This study analyzes the impacts of undergraduate-work-experiences for beauty-major's graduates. 168 samples were selected from Graduates Occupational Mobility Survey data 2012 ~ 2017. As a result of a Multiple logistic regression analysis, a job experience, job period, and number of experienced job type mattered. In case of having non-major job experience while studying, the opportunities of finding a job of one who has no experience was higher than that of one had over a year work experience. While in case of having major job experience in the field of studying, one who has experience over 6 months and less than a year had higher chance in finding a job than that of one who had over a year work experience. I hope this promotes reviewing a systematic educational policy and helps to get a fundamental information on job-seeking behavior of beauty major graduate.

• Journal of The Korean Association of Information Education
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• v.24 no.2
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• pp.201-214
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• 2020

Big data is gradually expanding in diverse fields, with changing the data-related legislation. Moreover it would be interest in big data education. However, it requires a high level of knowledge and skills in order to utilize Big Data and it takes a long time for education spends a lot of money for training. We study that in order to define Universal Big Data used to the industrial field in a wide range. As a result, we make the paradigm for Big Data education for college students. We survey to the professional the Big Data definition and the Big Data perception. According to the survey, the Big Data related-professional recognize that is a wider definition than Computer Science Big Data is. Also they recognize that the Big Data Processing dose not be required Big Data Processing Frameworks or High Performance Computers. This means that in order to educate Big Data, it is necessary to focus on the analysis methods and application methods of Universal Big Data rather than computer science (Engineering) knowledge and skills. Based on the our research, we propose the Universal Big Data education on the new paradigm.