• Communications of Mathematical Education
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• v.34 no.3
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• pp.201-214
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• 2020

In December 2019, new coronavirus (COVID-19) which was started from Wuhan caused a dramatic changes in college mathematics education around the world from the spring semester 2020. All classes in college was switched to online classes at once. As a result, many efforts were made to keep the quality of mathematics education in college. We have discussed the situation that we did experience and discussed a possible changes that future mathematics education and research can face in the post-corona era (after coronavirus, AC era). Finally, we discussed an evaluation method for student activities that can be used in online class evaluation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.398-411
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• 2020

This study explored the case of non-face-to-face classes at colleges initiated in the Corona 19 environment. The scope of this study was to analyze the learning development process of the non-face-to-face class case facing the Corona 19 environment in university classrooms in terms of class and learning content, interaction, assignment activity, and teaching-learning activities. It was conducted for first-year students at H University's Early Childhood Education Department of Startup Basic Course. Study results found that, first, interest in entrepreneurship increased as learning content. Second, as a result of exploring the teaching and learning process, there is no significant difference in understanding the content or achieving learning goals. Third, the most regrettable thing about non-face-to-face teaching-learning is the lack of interaction activities. Fourth, the students finished by adapting to the new non-face-to-face teaching-learning environment. In the future, a non-face-to-face environment platform should be established, and studies that can deal with new perspectives and approaches, such as an educational interaction system including online and offline, should be continued.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.2018-2043
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• 2022

Nowadays, COVID-19 infections are influencing our daily lives which have spread globally. The major symptoms' of COVID-19 are dry cough, sore throat, and fever which in turn to critical complications like multi organs failure, acute respiratory distress syndrome, etc. Therefore, to hinder the spread of COVID-19, a Computerized Doughty Predictor Framework (CDPF) is developed to yield benefits in monitoring the progression of disease from Chest CT images which will reduce the mortality rates significantly. The proposed framework CDPF employs Convolutional Neural Network (CNN) as a feature extractor to extract the features from CT images. Subsequently, the extracted features are fed into the Adaptive Dragonfly Algorithm (ADA) to extract the most significant features which will smoothly drive the diagnosing of the COVID and Non-COVID cases with the support of Doughty Learners (DL). This paper uses the publicly available SARS-CoV-2 and Github COVID CT dataset which contains 2482 and 812 CT images with two class labels COVID⁺ and COVI^-. The performance of CDPF is evaluated against existing state of art approaches, which shows the superiority of CDPF with the diagnosis accuracy of about 99.76%.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.478-481
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• 2021

With the transition to non-face-to-face classes due to the outbreak of COVID-19, education at school sites is moving in a different direction from traditional lecture-style classes. Accordingly, several online platforms have emerged, and our education is in a transitional period of class change. As a result, after a survey of the currently used online platform, where various contrasts clearly exist, compared with the report before the outbreak of COVID-19, students' perception of ICT usage ability in terms of affective, psychic, and value perception changes want to check

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.69-75
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• 2022

The purpose of this study is to present the direction of the development and utilization of remote class content for infants in a future educational environment through the analysis of remote class content for childhood. The analysis targets are 148 kindergarten [play ON] contents, and the analysis results according to "easy to use," "interest," "educational," "conformity of content," and "technicality" are as follows. Except for the 'conformity of content', there was a large variation in the score of content for each sub-area. In the case of "conformity of content," almost all of them received high scores for content production by incumbent teachers. With this in mind, we have drawn the following conclusions: First, it should be produced at an appropriate speed in consideration of the induction and understanding of childhoods' participation in play in the search and progress process, and it should be possible to play according to the challenges and levels using various strategies under the theme that all childhoods can be interested in. In addition, it was found that it was necessary to select topics, edit videos, and voice support so that childhoods can participate in the process of discovery and search, supporting childhoods' imagination, curiosity, and creative experiences.

• Journal of radiological science and technology
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• v.44 no.6
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• pp.679-688
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• 2021

This study is a questionnaire about the lesson environment that radiation major students prefer in a non-face-to-face live online lesson environment for a total of 133 students, 65 second graders and 68 third graders who are enrolled in the department of radiology at a university located in the Seoul metropolitan area. And checked the satisfactory level by grade. The questionnaire consists of three categories: 1st real-time non-face-to-face lectures, 2nd professor lectures, and 3rd corona lectures. A total of 14 questions, with multiple choice and descriptive response methods. As an evaluation method, in the case of a multiple-choice question, the average was calculated using a 5-point Likert scale. As a result of conducting the independent sample T-test of the SPSS program, the response by grade was P > 0.05, and no significant result was shown by the contents of the questionnaire survey of the second grade. As for the lecture method of the department of radiology after the end of Covid-19 virus, it is better to promote face-to-face lessons in radiation training subjects and non-face-to-face real-time education in subjects centered on radiation theory.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.179-188
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• 2022

This study discovers the general characteristics of B-class Emotional Advertisements and analyses their trend. A content analysis was conducted on 498 advertisements on-aired between 2015 and 2020, which were sampled from the advertisements registered in the TVCF(www.tvcf.co.kr), the largest advertisement web portal in the Republic of Korea. The analysis concludes that the B-class Emotional Advertisements, employed in a wide range of genre, is most incorporated in comedy/exaggeration genres and is on a rising trend due to 2020 COVID-19 Pandemic. Furthermore, it is confirmed that the utilization of B-class emotional advertisement has also increased in domain of non-commercial advertisements, such as Public Service Advertisements, Governmental/Organizational Advertisements, and Corporate Public Relations (PR) Advertisements. The study validates the transformation of the B-class emotional advertisements from a demonstration of an eccentric minority subculture to an epitome of a new and adventurous mainstream culture, successfully serving a central role in both the commercial and non-commercial sectors. Depicting the caricatures of the social, cultural and economic phenomenon and the recent surge of individual's depression, fatigue and pessimism, B-class emotional advertisements provide sympathetic and emotional alleviating ground for people that contributed to its rise.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.3
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• pp.25-31
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• 2020

The study is a phenomenological analysis of the video simulation clinical practice experience recently conducted on nursing students due to the outbreak of corona 19 worldwide. A total of eight students participated in the vSim class who understood the purpose of the study and wanted to participate voluntarily. The data collection conducted a total of three interviews until no new data was available, and the collection period was from June 22, 2020 to July 10, 2020. The collected data were analyzed with the Giorgi's Phenomenological Analysis Method. As a result of the study, three components and 13 semantic units were derived. vSim was difficult for students, but it was an interesting experience that made them feel like nurses, and it was an experience in which they were immersed in learning rather than face-to-face classes, and their skills improved.

• Journal of Engineering Education Research
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• v.24 no.5
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• pp.53-64
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• 2021

The purpose of this study is to provide implications for designing and implementing non-face-to-face online classes at the College of Engineering in the post-corona era by analyzing the instructors' evaluations and experiences of non-face-to-face online classes operated in the COVID-19 pandemic. According to the overall evaluation results of non-face-to-face online classes from instructors at the College of Engineering, 'instructional design' was the highest among the five areas including instructional design, learning management, learning support, learning evaluation, and instructional outcomes. In addition, the effectiveness of non-face-to-face online experimental or practical classes was found to be relatively low. The results of this study imply that the instructors need to consider several instructional strategies such as active interaction with learners, clear explanation, and the use of technology in non-face-to-face online engineering classes.

• Journal of the Korea Society of Computer and Information
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• v.25 no.10
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• pp.269-277
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• 2020

In this paper, we propose an efficient dynamic workload balancing strategy which improves the performance of high-performance computing system. The key idea of this dynamic workload balancing strategy is to minimize execution time of each job and to maximize the system throughput by effectively using system resource such as CPU, memory. Also, this strategy dynamically allocates job by considering demanded memory size of executing job and workload status of each node. If an overload node occurs due to allocated job, the proposed scheme migrates job, executing in overload nodes, to another free nodes and reduces the waiting time and execution time of job by balancing workload of each node. Through simulation, we show that the proposed dynamic workload balancing strategy based on CPU, memory improves the performance of high-performance computing system compared to previous strategies.