• Journal of Animal Science and Technology
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• v.64 no.1
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• pp.183-186
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• 2022

Lactiplantibacillus plantarum (L. plantarum) ST was isolated from De'ang pickled tea in Yunnan Province, China. The genomes of strain ST were fully sequenced and analyzed using the PacBio RS II sequencing system. Our previous study has shown that L. plantarum ST is a potential probiotic strain. It had strong tolerance in the simulated artificial gastrointestinal tract, and in the antagonism tests, this strain showed strong antibacterial activity. Therefore, as a probiotic, it may be used in animal breeding. L. plantarum ST genome was composed of 1 circular chromosome and 7 plasmids. The length of the whole genome was 3320817 bp, and the annular chromosome size was 3058984 bp, guanine + cytosine (G ± C) content (%) was 44.76%, which contained 2945 protein-coding sequences (CDS). This study will contribute to a further comprehensive understanding of L. Plantarum ST at the genomic level and provide a theoretical basis for its future application in animal breeding.

• Journal of The Korean Association For Science Education
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• v.38 no.2
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• pp.219-234
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• 2018

In this study, we explored the possibility of automating the process of analyzing elements of scientific argument in the context of a Korean classroom. To gather training data, we collected 990 sentences from science education journals that illustrate the results of coding elements of argumentation according to Toulmin's argumentation structure framework. We extracted 483 sentences as a test data set from the transcription of students' discourse in scientific argumentation activities. The words and morphemes of each argument were analyzed using the Python 'KoNLPy' package and the 'Kkma' module for Korean Natural Language Processing. After constructing the 'argument-morpheme:class' matrix for 1,473 sentences, five machine learning techniques were applied to generate predictive models relating each sentences to the element of argument with which it corresponded. The accuracy of the predictive models was investigated by comparing them with the results of pre-coding by researchers and confirming the degree of agreement. The predictive model generated by the k-nearest neighbor algorithm (KNN) demonstrated the highest degree of agreement [54.04% (${\kappa}=0.22$)] when machine learning was performed with the consideration of morpheme of each sentence. The predictive model generated by the KNN exhibited higher agreement [55.07% (${\kappa}=0.24$)] when the coding results of the previous sentence were added to the prediction process. In addition, the results indicated importance of considering context of discourse by reflecting the codes of previous sentences to the analysis. The results have significance in that, it showed the possibility of automating the analysis of students' argumentation activities in Korean language by applying machine learning.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.2
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• pp.247-259
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• 2020

Today is the era that the importance of education and training is emphasized. However, the problem of the issues on the question how the coding or related educations according to the 4th industrial revolution era are applied or utilized actually or that the correlation with the actual enterprises is facing with social and realistic problem. Therefore, this study intended to identify what impact the characteristics of the education and training has on the educational outcomes on the characteristics of individual by segmentalizing the characteristics of education and training, through which, this study examined what impact it has on the educational outcomes. As a result, it was shown that the SW education course has positive (+) impact on the major competence and learning performance out of the characteristics of individual and SW educational environment does not have nay impact. In addition, it was shown that the characteristics of individual have positive impact on all the satisfaction of educational outcomes and the negative impact on all the dissatisfaction of educational outcomes. These results emphasizes the importance of the SW educational course and SW education teaching and deemed to be results to make us to think about the SW educational environment again.

• Journal of Practical Engineering Education
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• v.7 no.1
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• pp.25-30
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• 2015

Virtual reality is a combination of various studies, such as programming, simulation, and computer graphics. This type of new cultural paradigm requires novel concept of contents development and information exchange. This research uses 3D virtual reality technology in new equipment called I-Bench Mobile which let user to interact with the equipment for completing furniture disposition task. The simulation is manufactured in 3D with application of physics, and the ultimate goal of it is to increase customers' satisfaction by allowing them to enjoy snap shot function for arranging furniture at exact desired place. This research requires not only coding techniques but also educating process in both engineering and art, such as computer science, media art design, and visual communication; therefore, the development of software by facilitating Virtual/Augmented Reality technology in this research is a good example of fusion IT technique education.

• Journal of The Korean Association of Information Education
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• v.21 no.1
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• pp.57-66
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• 2017

Lately, academic interests in big data analysis and social network has been prominently raised. Various academic fields are involved in this social network based research trend, which is, social network has been actively used as the research topic in social science field as well as in natural science field. Accordingly, this paper focuses on the text analysis and the following social network analysis with the Master's and Doctor's dissertations. The result indicates that certain words had a high frequency throughout the entire period and some words had fluctuating frequencies in different period. In detail, the words with a high frequency had a higher betweenness centrality and each period seems to have a distinctive research flow. Therefore, it was found that the subjects of the Master's and Doctor's dissertations were changed sensitively to the development of IT technology and changes in information curriculum of elementary, middle and high school. It is predicted that researches related to smart, mobile, smartphone, SNS, application, storytelling, multicultural, and STEAM, which had an increased frequency in period 4, would be continuously conducted. Moreover, the topics of robots, programming, coding, algorithms, creativity, interaction, and privacy will also be studied steadily.

• Journal of The Korean Association of Information Education
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• v.20 no.6
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• pp.543-552
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• 2016

Recently, a number of researches focus on social network analysis and it is applied to various fields not only in social science area but also in natural science area. Therefore, the social network analysis and the text analysis were conducted in order to analyze the current trend of the theses in information education field. The result indicated that the most frequently mentioned words were consistent with the development of information technology and the change in information education curriculum. That is, the mentioned words were computer aided instruction (CAI) and courseware for period 1, ICT for period 2, smart and scratch for period 3, and in period 4, computational thinking ability and coding appeared for the first time. Moreover, as the result of social network analysis, it concluded the research topics became more complicated and detailed as the words diversified throughout the period in which the simplified network in period 1 changed its configuration into a structure with more diversified words of higher centrality.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.185-190
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• 2020

The programming education of non-computer major undergraduates aims to increase the their problem-solving and coding skills so that the skills can be applied to various fields and motivate them to continuously study computer or programming. However, it difficult for them to recognize the necessity of programming knowledge and to find out how it can be used in their major. Therefore, the professor needs to give students a full explanation of their roles to play. In this paper, we revisit the necessity of programming knowledge for non-computer major undergraduates by looking at the convergence cases of ICT technology and the humanities and social arts fields. And we propose an instruction direction of programming learning for them.

• Journal of Engineering Education Research
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• v.19 no.2
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• pp.34-44
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• 2016

This study was conducted to explore the applicability and effects of Smart Support System for Creative Problem Solving(S3CPS) in engineering education. S3CPS is an online system developed to support learners' creative problem solving activities based on the CPS model proposed by Treffinger et al.(2000). In this study, it was applied in an engineering course in which students work in teams to design and produce creative robots with the purpose of verifying its effects on creative problem solving and team projects. To address the purpose, interviews and surveys were carried out to examine the effects of S3CPS. The qualitative data were analyzed through a generic coding process. Three ways to apply S3CPS in an engineering course based on team project were derived and effects of the system were also analyzed. It implies that specific design guidelines are required for the optimal use of the system for existing engineering courses.

• Journal of Practical Engineering Education
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• v.9 no.2
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• pp.107-117
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• 2017

here are many cases that take a software education as a required course for non-major students in university curriculums. However, non-major students are experiencing various difficulties in the process of learning programming languages, and there is also the opposite opinion in terms of their effectiveness. In this study, we developed a design based software education model (DBSEM) and curriculum to solve these problems and applied it to undergraduate non-undergraduate students for the last 8 years. In the proposed method, we provide a specialized educational tool such as 'block-based programming tool', but developed 'core module' and 'concept learning module' for computational thinking and applied 'prototype design module' and coding strategy based on it. As a result, non-major undergraduates could easily learn block-based scripting tools and acquire core concepts of computational thinking.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.2
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• pp.133-138
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• 2019

In this study, we analyzed the current status and limitations of software education in A education universities. In order to solve these problems, technical support assistant teachers were employed and operated. During the course of the course, we conducted interviews with the instructor and the technical support teacher. The satisfaction of the teacher in the training school was high and I wanted to be supported continuously. It also called for the capacity building of assistant teachers and the establishment of a pool of staff. On the other hand, the assistant teachers suggested that the role assignment of team teaching should be clarified and a guide of activities should be presented. The technical assistance assistant teacher input system discussed in this study may be different from the practice system of each university, and generalization may be limited. Therefore, it is expected that the effective implementation method will be shared and the software education will be activated.