• Journal of The Korean Association of Information Education
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• v.25 no.4
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• pp.653-664
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• 2021

This study proposes a STEAM (Science, Technology, Engineering, Arts, and Mathematics) program for career exploration of middle school students. The proposed program utilizes VR (Virtual Reality) for new digital technology and webtoon as a popular cultural element. It enables the students to investigate promising fields and experience them virtually for themselves. We design the program based on the 2015 revised curriculum, which enhances the learning effects with existing subjects. In particular, the program provides a hybrid education to combine contact and untact classes considering the COVID-19 situation. The educational goal of the proposed program is to improve creativity and convergence capability. Specifically, it aims to prepare an educational foundation that integrates new digital technologies into education and applies the programs to school education fields. To prove the effectiveness of the developed program, we applied the program to the second graders of A middle school located in Seoul. We expect that the proposed program helps students learn how to utilize new digital technologies and explore future career paths.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.373-381
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• 2018

This study investigates convergent influence on TOEIC learning flow and its association with self efficacy, academic control and school resilience among health college students. Data collection was carried out using a self-administered questionnaire from May 1 to May 29, 2018 and the target was randomly selected 255 health college students in TOEIC class from college located in J city. TOEIC learning flow was positively correlated with self efficacy, academic control and school resilience. With the analysis of covariance structure, we could confirm relationship among self efficacy, academic control, school resilience and TOEIC learning flow. School resilience was more influential on TOEIC learning flow than self efficacy and academic control. The results of the study indicate that the efforts to manage these factors are required to increase TOEIC learning flow of health college students in TOEIC class. The results are expected to be used to develop TOEIC learning curriculum increasing the TOEIC learning flow among health college students in TOEIC class. In the following study, the survey about additional factors of influence on TOEIC learning flow will be needed.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.57-67
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• 2018

The purpose of this study is to examine the issues of school arts & culture education policy in Korea, using the four dimensional model of Cooper, Fusarelli, & Randall(2004). Research method is literature analysis, the accumulated policy documents and academic papers were used as the basis data. As a result, the followings are required for effective policy outcome: From the normative dimension, overcoming the pursuit of national growth ideology and bureaucratic rationality; from the structural dimension, securing of practical forms and content through the reform to the teacher mandate system in curriculum operation; from the constituentive dimension, clear division of roles among members through the change of awareness about arts & culture education; and finally from the technical dimension, rational allocation of resources based on firm educational criteria. Building upon the results, promotion of basic academic research, accepting the opinions of arts & culture education parties concerned, expansion of opportunities for cultural art experience of teachers, building up the integrated arts & culture education teacher training system, the reorganization of the teacher training system, and raising the professionalism of teaching artists.

• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.197-202
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• 2019

In the era of the fourth revolution, interest in content production using proven engines in the broadcasting sector, such as Vizrt, is growing. The new visual effects required in the 5G era are critical to content production training. Vizrt has a good production time utility and affordability for broadcast and media content. In this paper, we are going to use this to present a practical case of the theorem and application of the basic training course in the production of virtual content, and to present the basic training direction. In the introduction, the graphic algorithm analyzed and studied the characteristics and environmental factors of the Vizrt engine. In this paper, the production process was studied separately, and the work carried out through engine implementation was presented. The VS Studio Foundation was provided as a practical production case at each stage. The Vizrt engine operator process is important in graphic approach and application, and through the results of the lecture, the method of understanding and implementing algorithms for virtual reality perspective suitable for basic learning was studied. Based on practice, the research method of main theory was to create Vizrt contents specialized in 5G contents work in each sector and to implement graphic production in new areas from contents image. Through this study, we came to the conclusion of the basic training method through virtual reality content work based on Vizrt by practicing content creation according to the subject. It also proposes the effect of creating Vizrt content and the direction of building Vizrt basic training courses.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.439-450
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• 2019

The purpose of the study was to critically explore the academic identity of dance education as a paradigm of practice-based education. Dance education is recognized as a school dance since the first curriculum was designed, which was announced by the Ministry of Education in 1955. Although Korea's dance education has 65 years of history, its academic identity as a dance education is not very strong. Traditional dance education was teacher-centered, skills-oriented, and exercise-oriented by following the practice-based paradigm. Recently, an initiative was taken to establish a new paradigm for dance education in schools, communities, and professional fields. This study followed the keyword network analysis and reviewed the main contents of each section of dance education research from a time-series perspective. The first section (1968-1979) is a practice of dance education based on physical education; the second section (1980-1989) is a creative-based movement education for primary education; the third section (1990-1999) is a systematization of dance education courses by class; the fourth section (2000-2009) is a paradigm for cultural and artistic education; the fifth section (2010-2019) consisted of various educational practices and institutions. Based on the research results, efforts are requested to establish an academic identity that can support dance education, interdisciplinary practice, and research.

• Management & Information Systems Review
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• v.38 no.3
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• pp.171-186
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• 2019

The purpose of this study is to identify the effects of entrepreneurship on entrepreneurial efficacy and entrepreneurial intention, and to provide implications for analyzing mediating effects of career decision self-efficacy in bilateral relations. The data were collected from entrepreneurship, entrepreneurship students, and, and 220 students were surveyed. For the empirical analysis, frequency analysis, factor analysis, reliability verification, correlation analysis, and multiple regression analysis were performed using SPSSWIN 21.0. The specific analysis results are as follows. First, in the relationship between entrepreneurship and career decision-making self-efficacy, entrepreneurship has a significant effect on career decision-making self-efficacy. Second, in the relationship between entrepreneurship, entrepreneurship efficacy, and intention of entrepreneurship, entrepreneurship has significant influence on entrepreneurship efficacy and entrepreneurship intention. Third, the mediating effect analysis of career decision self-efficacy in the relationship between entrepreneurship, entrepreneurial efficacy, and entrepreneurship intention showed that all mediated effects were significant. The results of this study should be achieved through a convergence curriculum in which entrepreneurship education and career education can be considered at the entrepreneurial education stage in order to enhance entrepreneurship and intention to influence entrepreneurship and career choice. Practical implications were suggested for more effective education.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.425-434
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• 2020

Background: Viral infection outbreaks are emerging public health concerns. They often exhibit seasonal patterns that could be predicted by the application of big data and bioinformatic analyses. Purpose: The purpose of this study was to identify trends in diarrhea-causing viruses such as rotavirus (Gr.A), norovirus G-I, and norovirus G-II in Cheonan, Korea. The identified related factors of diarrhea-causing viruses may be used to predict their trend and prevent their infections. Method: A retrospective analysis of 4,009 fecal samples from June 2010 to December 2019 was carried out at Dankook University Hospital in Cheonan. Reverse transcription-PCR (RT-PCR) was employed to identify virus strains. Information about seasonal patterns of infection was extracted and compared with local weather data. Results: Out of the 4,009 fecal samples tested using multiplex RT-PCR (mRT-PCR), 985 were positive for infection with Gr.A, G-I, and G-II. Out of these 985 cases, 95.3% (n = 939) were under 10 years of age. Gr.A, G-I, and G-II showed high infection rates in patients under 10 years of age. Student's t-test showed a significant correlation between the detection rate of Gr.A and the relative humidity. The detection rate of G-II significantly correlated with wind-chill temperature. Conclusion: Climate factors differentially modulate rotavirus and norovirus infection patterns. These observations provide novel insights into the seasonal impact on the pathogenesis of Gr.A, G-I, and G-II.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.61-71
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• 2021

In a situation where the online learning is expanding due to COVID-19, the current maker education has limitations in applying it to classes. This study is to design the class of online maker education using artificial intelligence tools in elementary school. Also, it is to identify the responses to it and to confirm whether it helps improve the learner's computational thinking and creative problem solving ability. The class was designed by the literature review and redesign of the curriculum. Using interveiw, the responses of instructor and learners were identified. Pre- and post-test using corresponding sample t-test was conducted. As a result, the class consisted of ten steps including empathizing, defining making problems, identifying the characteristics of material and tool, designing algorithms and coding using remixes, etc. For computing thinking and creative problem solving ability, statistically significant difference was found. This study has the significance that practical maker activities using educational artificial intelligence tools in the context of elementary education can be practically applied even in the online environment.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.237-243
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• 2021

This study was attempted to identify the difference between nursing competencies and major satisfaction before and after the first clinical practice of nursing college students and use it as basic data for efficient clinical practice education. Data collection by single group pre- and post-design was conducted from February 18 to April 23, 2019 for 201 nursing college students before and after clinical practice for 8 weeks. The collected data were analyzed by frequency, paried t-test, and Pearson's Correlation, Multiple Regression using SPSS/Win 23.0. As a result of the study, Nursing competency increased after the first clinical practice than before, but it was not significant(t=-1.73, p=.084). Among the sub-factors of nursing competency, educational ability(t=-1.97, p=.050) and ethical practical ability(t=-209, p=.038) was found to increase significantly. Major satisfaction was significantly increased after clinical practice than before(t=-2.45, p=.015). After clinical practice, it was found that general satisfaction, relationship satisfaction, and recognition satisfaction which are sub-factors of major satisfaction, had a positive correlation with nursing competency. As a result of analyzing the impact on nursing competency, it was found that recognition satisfaction explains nursing competency as 9.9%. Therefore, it is necessary to reorganize the clinical practice curriculum that can improve nursing competency, develop a program that can improve major satisfaction, and verify the effectiveness.

• Journal of The Korean Association of Information Education
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• v.24 no.5
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• pp.473-481
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• 2020

Data science starts with small data analysis and includes machine learning and deep learning for big data analysis. Data science is a core area of artificial intelligence technology and should be systematically reflected in the school curriculum. For data science education, The Entry also provides a data analysis tool for elementary education. In a big data analysis, data samples are extracted and analysis results are interpreted through statistical guesses and judgments. In this paper, the big data analysis area that requires statistical knowledge is excluded from the elementary area, and data science education examples focusing on the elementary area are proposed. To this end, the general data science education stage was explained first, and the elementary data science education stage was newly proposed. After that, an example of comparing values of data variables and an example of analyzing correlations between data variables were proposed with public small data provided by Entry, according to the elementary data science education stage. By using these Entry data-analysis examples proposed in this paper, it is possible to provide data science convergence education in elementary school, with given data generated from various subjects. In addition, data science educational materials combined with text, audio and video recognition AI tools can be developed by using the Entry.