• Journal of Digital Convergence
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• v.11 no.11
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• pp.71-83
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• 2013

In a EFL situation, most Korean students and teachers are exclusively dependent on English textbooks to acquire the cultural factors of English. Therefore, it is necessary to analyze cultural elements in the English Textbooks. The results of the study are as follows: First, although all of the textbooks contain the culture part at the end of each lesson, it is insufficient for students to build a cultural schema. Second, in the analysis of cultural types, three types of cultures are presented in a similar percentage. Third, the culture elements were analyzed based on the 7th national curriculum revised in 2011. The most dominant is the culture regarding arts and literature. Forth, in nationality analysis, universal culture takes up the largest portion. Therefore, it is required more efforts to improve students' knowledge of the American and English culture.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.385-392
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• 2017

The aim of this study was to examine the image for dental hygienists and influence factor in academic high school students. A self-reported questionnaire was surveyed by 211 high school student in G area. the data were analyzed for frequency analysis, average, standard deviation, independent t-test, one-way ANOVA, pearson's correlation coefficient by using SPSS 21.0 program. In case of general high-school students, occupational and business images were higher significantly. The social images were higher significantly in case of having introduction or explanation for dental hygienists. In addition, the self-esteem showed significant differences depending on the oral condition. There were positive correlations among the occupational, business, personal, social images of dental hygienists and self-esteem. Multiple regression analysis showed that highest in occupational images.

• Korean Journal of Comparative Education
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• v.28 no.2
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• pp.77-95
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• 2018

This study introduces the Classroom Assessment Scoring System (CLASS) and explores the characteristics of CLASS for observing classroom. The CLASS is a standardized observation instrument that was largely developed for use in the USA. The CLASS attempts to provide a conceptual framework for categorizing classroom interactions and consists of three broad domains of quality (emotional supports, classroom organization, instructional supports). We simulated this method to the elementary school classes. The professional-teacher makes the best use of student's initiation behaviors, and the novice teacher focused on the leading the contents of subject. The novice teacher tyr to make more positive climate and to present more frequent feedback to students than professional teacher's classroom. The professional teacher would like to reveal the student's opinions, questions and subtle emotional state. The CLASS can be used to collect data on a wide range of specific aspects of the teaching and learning process at any given time.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.6
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• pp.1261-1266
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• 2021

Existing information security risk assessment methods focus on evaluating the vulnerability of information assets. However, when the form of information assets changes and new types of information assets emerge, there is a limitation in that the evaluation standards for them are also added or deleted. Existing methods have insufficient research on the path through which cyber threats are introduced. In particular, there is very little research on blocking the inflow path for web-based information systems with public IPs. Therefore, this paper introduces the main research contents of the BDLA (Blockade and Defense Level Analysis)-based information security risk assessment model. In addition, by applying the BDLA-based information security risk assessment model, the information security risk level was studied by measuring the blockade level and security equipment level of 17 public institutions.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.44-57
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• 2019

As dance performances in the theater space are centered on text, they have plots and make characters stand out. They also emphasize expressivity and technique, and their recognition of space is very modern and typical of dichotomous Cartesian thinking. The museum space has many similarities with the theater space in that it is a result of modernity and granted authority to present arts. The performances in museums place value more on the presence than on the representation. For this reason, works in museums, which are frequently presented in recent years, are mainly works of site-specific or performative concepts. Now, rather than being able to obtain from aesthetics defined as works, the museum is assured its own aesthetic production and justification, paying attention to the performance as an event occurring now and here.

• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.135-146
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• 2019

Big data analysis is actively used for collecting and analyzing direct information on related topics in each field of society. Applying big data analysis technology in education field is increasingly interested in Korea, because applying this technology helps to identify the effectiveness of education methods and policies and applying them for policy formulation. In this paper, we propose our approach of utilizing big data analysis technology in education field. We focus on free semester program, one of the current core education policies, and we analyze the main points of interests and differences in the free semester through analysis and visualization of texts that are written on the operation reports prepared by each school. We compare regional differences in key characteristics and interests based on the free semester operation reports from middle schools particularly at Seoul and Gangwon-do regions. In conclusion, applying and utilizing big data analysis technology according to the needs and requirements of education field is a great significance.

• Journal of the Korea Society for Simulation
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• v.28 no.2
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• pp.89-95
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• 2019

This paper introduces the simulation concepts and technical approach of underwater weapon system performance analysis simulator, especially focused on probabilistic target detection concepts. We calculated the signal excess (SE) value using SONAR equation, then derived the probability density function(PDF) for target presence($H_1$) or absence($H_0$) cases, respectively. With the Neyman-Pearson detector criterion, we got the probability of detection($P_D$) while satisfying the given probability of false alarm($P_{FA}$). At every instance of simulation, target detection is decided in the probabilistic perspective. With the proposed detection implementation, we improved the model fidelity so that it could support the tactical decision during the operation.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.3049-3067
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• 2018

Although there is a growing body of research on organizational commitment profiles based on a person-centered approach, it is not widely applied to the commitment research conducted by Korean organizational scholars yet. Therefore, in this paper, we introduced the concept and analytical methods, such as cluster analysis and latent profile analysis (LPA), of the person-centered approach. In addition, we also performed both cluster analysis and LPA to identify types of organizational commitment profiles of Korean employees based on the combination of affective, continuance and normative commitment on the sample from a range of different fields in South Korea (n = 349). Both analyses extracted two comparable sets of 6 commitment profiles. These six profiles were then contrasted with employee turnover intention. Finally, implications for commitment theory, practices and future research issues were discussed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.7-14
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• 2021

The emergence of the automated smart grid has become an essential device for responding to these problems and is bringing progress toward a smart grid-based society. Smart grid is a new paradigm that enables two-way communication between electricity suppliers and consumers. Smart grids have emerged due to engineers' initiatives to make the power grid more stable, reliable, efficient and safe. Smart grids create opportunities for electricity consumers to play a greater role in electricity use and motivate them to use electricity wisely and efficiently. Therefore, this study focuses on power demand management through machine learning. In relation to demand forecasting using machine learning, various machine learning models are currently introduced and applied, and a systematic approach is required. In particular, the GP learning model has advantages over other learning models in terms of general consumption prediction and data visualization, but is strongly influenced by data independence when it comes to prediction of smart meter data.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.448-458
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• 2021

As the fourth industrial revolution accelerates, universities have made great efforts to develop and reform creative convergence courses for improving the students' creative convergence capabilities. Although various subjects such as "Capstone" and "Design Thinking" to the improvement of students' creative convergence competences, many courses focus on creativity education in the direction of creating new products or outputs such as engineering, design, and art, so there is still a lack of systematic education and subjects on creative convergence capabilities from a humanities and sociological perspective. In order to overcome their limitations of creative courses, "H" University developed a 'Imaginative Innovators' class with the purpose of solving creative problems on social issues related to sciences, culture, politics, economics, and so on. In this study, we introduced the purpose, methodology, students' best practices etc. of the "Imaginative innovator" course. In addition, we discussed the limitations and complements as well as the advantages and possibilities of the course. These findings are expected to contribute to the development and expansion of creativity education.