• Journal of Engineering Education Research
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• v.23 no.1
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• pp.10-25
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• 2020

This study was conducted to identify the causes of academic weakness and to find the ways to cope with it for the students majoring in science and engineering at the top university in Korea. For this purpose, a questionnaire was conducted for students who experienced academic warning and poor academic performance at A university, and a total of 207 students responded. The results were divided into two groups majoring in science and engineering or not and the characteristics and differences of each group were analyzed. In addition, in-depth interviews were conducted with five students who had experienced academic warning and poor academic performance. As a result, the group majoring in science and engineering had a relatively low level of difficulty in forming interpersonal relationships and relatively high degree of participation of activities in their departments. The group majoring in science and engineering have a tendency to choose careers that are connected with their majors, and therefore, their response was relatively low due to lack of career goals. However, the group majoring in science and engineering had difficulty in academic performance due to the difference in basic courses and the level of recognition about self-learning strategy needed for university study was relatively low compared with the group majoring in non-science and engineering. When they experienced academic problems, they said that their interest, support, and positive feedback from professors helped them recover their motivation and continue their studies. Through these results, it was confirmed that intervention and support are needed considering the academic situation and characteristics of the students majoring in science and engineering.

• 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 Digital Convergence
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• v.18 no.3
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• pp.35-42
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• 2020

Digital transformation is about revolutionizing the interaction between virtual and reality. The complex problems that arise in this process must be solved, and one of the methods is computing thinking. Therefore, this study aims to observe whether software education that uses unplugged as liberal education is effective in enhancing computing thinking. For this, 5 elements of computing thinking were extracted and unplugged was applied to liberal software classes, and classes were conducted. During one semester, 16 sessions of classes were conducted and computing thinking enhancement was measured through surveys. As a result, the computing thinking of the students increased overall after classes. Observation surveys showed that, among computing thinking elements, students of all academic fields felt difficulties conceptualizing abstraction elements, those of arts and physical education felt more difficulties with algorithm elements, and those of the humanities felt more difficulties with pattern recognition elements. In the future, various contents for each element should be developed by academic field to aid learner understanding.

• Journal of the Korea Convergence Society
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• v.9 no.2
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• pp.7-12
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• 2018

With our society entering the Fourth Industrial Revolution, there has been heightened interest in coding education, which has led to an increased number of coding classes offered in schools. Once catered to degree holders only, coding courses are now being offered as liberal arts courses to even non-majors. As the importance of computing abilities and creativity-oriented education through software learning becomes increasingly pronounced, the need for research on effective coding learning is growing more urgent. The present study sought an effective coding education model that would encourage and enhance learners' participation and interest in coding. The proposed learning model is designed to invoke learner's recognition of various coding grammars and data search in the process of designing and performing their own unique project. Application of the proposed learning model and analysis of such case studies showed improvement in learning outcomes. One can expect improved performance among learners if the proposed learning model is applied to various coding courses.

• Journal of Service Research and Studies
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• v.5 no.2
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• pp.103-110
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• 2015

Recently, Classification of characters in a 3D FPS game has emerged as a very significant issue. In this study, We propose the game character Classification method using Image Region Segmentation of the extracting meaningful object in a simple operation. In this method, first used a non-linear RGB color model and octree color quantization scheme. The input image represented a less than 20 quantized color and uses a small number of meaningful color histogram. And then, the image divided into small blocks, calculate the degree of similarity between the color histogram intersection and adjacent block in block units. Because, except for the block boundary according to the texture and to extract only the boundaries of the object block. Set a region by these boundary blocks as a game object and can be used for FPS game play. Through experiment, we obtain accuracy of more than 80% for Classification method using each feature. Thus, using this property, characters could be classified effectively and it draws the game more speed and strategic actions as a result.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.315-323
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• 2020

This study is a similar experimental study before and after non-equivalence control to examine the effect of fundamental nursing practice education applying reciprocal peer tutoring on confidence in performance, core nursing skills, and practice satisfaction of nursing students. Data collected by 83 people sophomore P university nursing students, the study period is from May 17 to 11 March 2019. As a results, the fundamental nursing practice education applied with the reciprocal peer tutoring method had an effect on the confidence in performance and core nursing skills of 'medium' degree of difficulty, and had a positive effect on the satisfaction of practice. In the future, this study suggests that the method of reciprocal peer teaching is extended to various practical majors and the effects of core nursing skills are tested.

• The Journal of Korean Association of Computer Education
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• v.23 no.1
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• pp.53-61
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• 2020

In the information society, the ability of learners to use computers to conduct self-directed learning is important. Indeed, the higher the computer's ability to use computers, the more the academic achievement needs to be analyzed. The purpose of this study was to identify longitudinal trajectories of student awareness of ICT literacy and frequency of computer use. We also examined the effects of the longitudinal patterns on academic achievement and college major choice. A non-parametric approach, K-means for longitudinal data(KML) algorithm, was conducted using 9-year longitudinal data from Seoul Education Longitudinal Study (2010-2018). Findings indicated that a pattern presenting a higher awareness of ICT literacy and frequency of computer use showed better academic achievements and was likely to prefer to choose engineering-related majors.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.55-64
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• 2017

The purpose of this study is to identify the difficulties of learners who started programming after entering college and to search an effective software education method as university liber arts for non-science major students. In order to do this, we analyzed the difficulties of learners in Python programming classes composed of students from various majors at H University through questioning and taught them using flipped class model with pre-questions. The questions that students submit are collected online before class every time, the data on the degree of the difficulty of feeling and the understanding of feeling were obtained through the questionnaire. As a result, for learners who are new to programming, the learners should allocate the process of making the problem into a logical abstraction at the beginning of the curriculum before learning the basic concept of computer language, each lesson should be practiced through the bottom-up problems enough to provide a logical understanding before actual coding. In addition, detailed curriculum should be developed according to characteristics of learner's major, contents and conducting level.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.23-35
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• 2019

In order to cultivate talented people who have problem solving ability due to computational thinking according to the trend of the fourth industrial revolution, each university is actively promoting software education. This study suggests that understanding-oriented SW curriculum is needed for non-majors students to improve computational thinking. In order to achieve the purpose of the study, this study designed the basic education program based on the understanding of the SW with the backward design model. The SW Basic Education Program was applied to 15 weeks of instruction and conducted three surveys. The positive effects of the understanding-oriented SW basic education on the computational thinking efficacy and the computer perception were verified. In addition, it was found that the understanding-oriented computational thinking and programming education are effective when they are linked to one process. It is expected that understanding-based SW based education, which uses the backward design model, can be applied as one of the efficient ways to improve computational thinking in the education field.

• Trans-
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• v.8
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• pp.79-93
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• 2020

The main purpose of this article is to discuss the impact of "Dance Smash" TV show on Chinese dance, which uses the combination of dance and new media technology as the core content of the program. "Dance Smash", as a dance communication TV program for the public, first considers the entertainment attributes of variety shows. Spread the dance art on the basis of meeting the public's aesthetic needs, thereby expanding the popular living space of dance art. The use of 'moment of the storm' has let the general audience of non-dance majors feel the technical charm of dances, thus playing a healthy promotion role. However, whether "Bullet Time", a type of dance program that has had a successful case in the West, can also have a positive impact on the mass communication of dance in the localization of China, this is what questions and seeks of this article.