• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.279-286
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• 2020

This study was a phenomenological qualitative research that analyzed the experiences of Korean students studying in Korea after the COVID-19 incident. Participants in this study consisted of 22 international students aged 20 to 40 attending the International Exchange Center at C University. The interview period was from September 10, 2020 to October 10, 2020. Giogi qualitative research method was used to analyze vivid experiences of international students. As a result of the analysis, 26 semantic units, 7 subcomponents were derived. The description of the general structure sentence of phenomenology was a description of the meaning of experience from the perspective of participants, and the context and structure descriptions were integrated. The results of this study showed that: The students who came to Korea to study were concerned about Korea in various ways, but they had to adjust to unexpected changes in education methods, anxious about the unexpected COVID-19 disaster. Participants chose to study in Korea based on existing information, so they felt anxiety, regret, fear, and frustration over sudden changes, but taking online classes helped them learn repeatedly and voluntarily became an experience that suited their learning speed. As commuting time has decreased, they were more opportunities to make money in Korea also. Based on the results of this study, the following is suggested: First, the government should establish systematic online infection prevention measures for international students who have poor Korean language skills in preparation for unexpected disasters. Second, non-face-to-face teaching methods should be prepared with the same weight in the face-to-face teaching methods that have been carried out so far in preparation for unexpected disasters.

• 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 the Korea Computer Industry Society
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• v.4 no.10
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• pp.631-642
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• 2003

We propose an approach to extract and to classify facial features into some classes from one's photo as prepared classification standards to generate one's avatar. Facial Feature Extraction and Classification was executed at eyes, nose, lips, jaw separately and I presented each facial features and classification standards. Extracted Facial Features are used for calculation to features of professional designer's facial component images. Then, most similar facial component images are mapped onto avatar's vector face.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.105-111
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• 2022

Multiple-choice survey types have been mainly performed to analyze students' needs for online classes. However, in order to analyze the exact needs of students, unstructured data analysis by answer for essay question is required. Big data is applied in various fields because it is possible to analyze unstructured data. This study aims to investigate and analyze what students want subjects or topics for software lecture in general education that process on non-face-to-face online teaching methods. As for the experimental method, keyword analysis and association analysis of big data were performed with unstructured data by giving a subjective questionnaire to students. By the result, we are able to know the keyword what the students want for software lecture, so it will be an important data for planning and designing software lecture of liberal arts in the future as students can grasp the topics they want to learn.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.203-207
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• 2023

Recently, real-time streaming services are gaining popularity among the MZ generation and the market size is continuously growing. Pre-recorded and edited videos only show one-way communication, but real-time streaming services have the advantage of responding immediately to questions and requests from users, as they enable two-way communication. With the transition from face-to-face culture to non-face-to-face culture due to the COVID-19 pandemic, the number of users communicating in real-time video for activities such as classes, meetings, and leisure has dramatically increased. However, as real-time streaming services become more active and diverse generations participate, there is a problem of conflicts arising from language differences, including the use of neologisms. To address this issue, this paper proposes a method of collecting the meaning of neologisms through the Wikipedia API and presenting them to each other, so that they can understand each other's intentions.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.920-923
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• 2007

Cyber Educations of University are increasing in development of Contents and spreading Internet Network. We need to classify a cyber education by the type, and analyze environment. In addition, We need a measurement of effectiveness and the research of method for activation of cyber education. In this paper, we classify into partial cyber which is mixed face-to face lecture and cyber lecture and full cyber which is organized all cyber lecture, and investigate a satisfaction of learner. We analysis also the problem in cyber classes according to their types, and propose a plan for activation.

• Journal of The Korean Association of Information Education
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• v.14 no.3
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• pp.437-447
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• 2010

The purpose of this thesis was to design and develop an effective e-PBL(Problem-Based Learning) for cultivating consciousness of information and communication ethics. The proposed e-PBL is based on PBL which is one of the constructivism teaching-learning theories. Online learning and face-to-face classes were systematically combined for achieving the teaching-learning goals. And the main module for online learning run on Moodle, an open source learning management system. To examine educational effectiveness of the proposed e-PBL, an experimental study was conducted through the education content and method to the subject of two class in the second-grade of university located in OO city. For experiment 60 students(treatment group=30, control group=30) are participated. And they were randomly assigned to one of ten subgroups, comprising of six students, respectively. The results of this study showed that the education using proposed e-PBL is more effective in cultivating consciousness of information and communication ethics and learners responded positively than the education using traditional face-to-face PBL learning method.

• Journal of Industrial Convergence
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• v.20 no.6
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• pp.73-81
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• 2022

This study is a descriptive research study to analyze the relationship between learning motivation, learning immersion, and self-directed learning. For this study, data were collected from August 1 to 30, 2021. The collected data were analyzed using the IBM SPSS/WIN 22.0 program. The learning motivation was positively correlated with learning immersion and self-directed learning. In analysis results, the factors affecting learning immersion are learning motivation and self-directed learning. And it was confirmed that self-direction was a partial mediating factor in the relationship between learning motivation and learning immersion. Learning motivation is an important factor for nursing students' learning immersion and self-directed learning. Therefore, specific measures to improve self-directed learning should be prepared for learning immersion. Therefore, nursing students' self-directed learning is an important factor for learning motivation and learning immersion, and specific measures to improve that should be prepared.

• Journal of The Korean Association of Information Education
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• v.26 no.1
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• pp.11-22
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• 2022

The educational environment, where the change to blended learning and AI convergence education through non-face-to-face is accelerating, is based on the cultivation of digital literacy. This study attempted to verify the effectiveness of future competencies by creating a collaborative SW education program on the metaverse platform that emerged by supplementing the problems through non-face-to-face. Twenty programs on how to design and create software were organized for small-scale elementary classes in the metaverse. In order to verify the effectiveness 4C competency tool presented as future educational competency was selected, and homogeneity test for the experimental group and t-test were conducted. The results showed the SW education programs based on metaverse was effective in improving collaborative communication skills, confirming the possibility of SW education through blended learning.

• Journal of The Korean Association of Information Education
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• v.26 no.6
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• pp.517-532
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• 2022

As a result of the this exploratory study the main results show that the factors affecting the satisfaction of non-face-to-face class learning of graduate students in Education were social presence, perceived easy to use, and information service quality. Secondly, the factors affecting the learning persistence were perceived usefulness and social presence, but perceived usefulness's influence was relatively small. Next, it was found that the subjective satisfaction of graduate students of education did not significantly affect their intention to continue learning persistence. Lastly, learning satisfaction and learning persistence had a positive effect on the intention to recommend to others. Through the this empirical analysitics study it demonstrate the factors such as attitudes, feelings, and friendliness toward non-face-to-face online classes perceived by graduate students in Education.