• Journal of Korean Elementary Science Education
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• v.39 no.4
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• pp.522-532
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• 2020

The aims of this study were to do a survey on teachers' perception and operational state for elementary science online remote classes and suggest ways to improve the elementary science online remote classes. The survey was based on responses from 100 teachers who have taught elementary science online remote classes for the first semester of 2020 for COVID-19. The questionnaire used in this study consisted of four parts: general informations of participants, the operation status of elementary science online remote classes, teachers' perceptions on the operation of elementary science online remote classes, ways to improve elementary science online remote classes. As a result of this study, elementary teachers taught elementary science online remote classes on the main use of content utilization type. And they had a difficulty in conducting elementary science online remote classes because of lack of contents, absence of elementary science online remote classes teaching methods, learner management and heavy workload. Therefore, to improve elementary science online remote classes the Ministry of Education and regional offices of education have to develop and provide high-quality contents reflect the characteristics of elementary science subjects, introduce a rent-an-experiment equipment system, and build a science class platform providing frequent real-time interaction between teacher and student.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.440-447
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• 2021

The purpose of this study is to verify the effectiveness of non-face-to-face lectures conducted at universities in Korea under the influence of COVID-19. So this study analyzed the satisfaction level of the students according to the type of class operation, such as face-to-face classes and remote video classes. To this end, this study compared the differences in class satisfaction by class type and class size for a total of 8,707 courses operated by a university between 2019 and 2020. The study found that the satisfaction level of the remote video class was significantly high. In addition, the combination of remote video classes and face-to-face was more satisfactory than other cases. On the other hand, the satisfaction level of small classes in both face-to-face and remote video classes was higher than that of medium or large classes. This means that even remote video classes are highly satisfactory in small-scale classes. Based on the findings, the study proposes a paradigm for new college classes.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.51-57
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• 2022

The purpose of this study is to explore the future direction of university liberal arts classes at a time when many educational institutions have returned to face-to-face instruction as social distancing related to COVID-19 has been eliminated. A survey was conducted with 187 college students who took a liberal arts class that included a combination of online and in-person classes. The results found that learners were generally satisfied with remote learning (87.8%). The reasons for this high level of satisfaction included sufficient comprehension of class content, systematic class progress, and the efficiency and convenience of learning in a remote environment. Satisfaction levels for in-person classes (66%) were relatively lower than those for remote classes, and this is reflected in the preference for class type. Among wholly in-person, wholly remote, and a combination of both, it was found that learners preferred remote classes the most (54.4%). When conducting in-person classes, instructors must devise a class plan that incorporates the advantages of online remote classes.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.324-336
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• 2022

The purpose of this study is to comparatively analyze academic achievement and class satisfaction in college general mathematics between face-to-face classes and remote classes. For this study, we selected 97 first-year students from three departments of an engineering college at M University. Among the subjects of the study, 39 students in Department A and 36 students in Department B took remote classes using pre-recorded class videos, and 22 students in Department C took face-to-face classes. The subjects of this study were evaluated by one professor as the same type of problem with the same content for the same textbook. Among the subjects of the study, 35 students in department A, 34 students in department B, and 17 students in department C who entered through rolling admissions were collected and homogeneity tests were conducted. And then we analyzed the scores of these students' midterm and final exams for general mathematics in the first semester of 2021. Also, we compared and analyzed the academic achievement and class satisfaction of general mathematics subjects for face-to-face classes and remote classes for all study subjects. The results of this study are as follows. First, there is a significant difference in students' academic achievement of general mathematics between face-to-face classes and remote classes. Second, there is a significant difference in class satisfaction between face-to-face classes and non- face-to-face remote classes.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.559-564
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• 2021

The purpose of this study is to explore the factors that affect the intention to run remote classes after COVID-19 with university professors have fully experienced remote classes due to COVID-19. The research questions are what are the factors and the combinations of factors that affect the intention to run remote classes in the post-COVID-19. Data were collected through a survey of 311 remote classes at S Univ. in Seoul in fall 2020, and individuals and combinations of factors were confirmed through logistic regression analysis and decision tree analysis. As a result, individual factors were quality management, online office hours, quizzes midterm oral exams, video development, and student-student and instructor-student Q&A type between face-to-face and remote class. As combinations of factors, it was found that quality management×quiz×student Q&A and quality management×quiz×voting type had an effect on whether to run remote classes. Based on the results, we proposed to run and support remote classes in the post-COVID-19 era.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.355-360
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• 2021

COVID-19 has brought major changes to school education. Although it was attempted to guarantee students' right to learn through romote learning, the limitations of remote learning compared to face-to-face classes were clear. Nevertheless, the method of remote learning is undoubtedly a learning method that needs to be continuously developed in terms of being able to consider separated time and space and enabling learners to learn individually and autonomously. Therefore, in this study, real-time romote learning cases were analyzed at the elementary school stage, and problems in real-time remote classes were discovered and improved through teacher interviews. The problems with real-time remote classes in elementary school unit classes examined through examples are: First, that the proportion of teacher activity is high due to the anxiety of the unfamiliar environment of remote classes, and second, even though it is a real-time interactive class, it It was impossible to provide feedback. As a solution to this, it is necessary to consider the basic class steps (introduction-deployment-organization) and the use of class tools to provide appropriate communication and feedback was suggested.

• Journal of the Korean Society of Radiology
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• v.14 no.4
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• pp.405-413
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• 2020

Expectations and interests in blended learning are increasing as universities respond to the educational flow of transition to e-learning. This study analyzed the difference between the satisfaction of students in the first grade of radiology and the general characteristics of the subjects when applying blended learning. First, the satisfaction according to the class type was the highest in blended learning classes at 47.2%, followed by lecture room classes at 30.6% and remote classes at 22.2%. Second, the place where the remote lecture was watched by viewing the remote class according to the general characteristics was the highest at 94.4%. The most common medium for attending the remote class was using a PC, with 72.2%, and there was no significant difference in the remote class viewing method (p>0.05). Third, the appropriateness of the blended learning, "Remote lectures and lecture room lectures were properly conducted," had the highest score of 4.27±0.70. In addition, there was no significant difference in response to the teaching method according to gender and age (p>0.05). Fourth, the technology and system support,'Technical support and system support must be done when taking a remote lecture,' showed the highest score of 3.41±0.96. The lack of communication between professors and students,'In the remote class, communication between professors and students is insufficient' was the lowest with 2.88±1.00. In addition, there was no significant difference in the improvement of class according to gender and age (p>0.05). Through this study, it was intended to serve as a basis for the plans of blended classes and the policies of schools that introduced blended classes.

• Journal of the Korean Society of Radiology
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• v.15 no.3
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• pp.381-390
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• 2021

The purpose of this study was to examine the lecture satisfaction of radiological science majors in total remote classes due to coronavirus disease 2019, and influencing factors were analyzed. An online survey was conducted from September 1, 2020 to November 15, 2020, lecture satisfaction, teaching presence, academic motivation, self efficacy, behavior regulation and usage simplicity of remote classes for 458 3 and 4-year radiological science majors located in the Yeongnam area. Lecture satisfaction was significantly different according to grade, self-review time, and preferred teaching method. In addition, lecture satisfaction showed a significant positive corrleation with the teaching presence and usage simplicity of remote classes. In the multiple regression model, lecture satisfaction showed a significant explanatory power of 45.7% through usage simplicity, teaching presence, self efficacy and academic motivation. This study was attempted to provide basic data to increase the effect of remote classes at universities that are expected to expand in the post-corona.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.541-565
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• 2021

The study is aimed at designing an effective edutech platform based on online remote classes, and clarifying the effect of empathy competence of youths through the operation linked with the empathic reading program focusing on reading. To this end, after constructing the environment for education and drawing a class model based on components of edutech for remote classes on the basis of previous studies and elaborating the empathic reading education program, this study has been conducted for one semester for 107 students in 4 classes in their 1st grade at S middle school, Gyeonggi-do in order to apply them to fields. As a result of the study, the empathy reading program that a remote class model was applied has shown a meaningful difference among groups in cognitive empathy and emotional empathy, and it was found that there was a statistically meaningful difference between the two groups in total scores. Besides, the effect and meaning of adolescents' empathy competence have been verified through the remote empathy reading education and the empirical analysis, and the direction to develop the empathy reading program has been suggested for a solution to settle differences in students' learning due to COVID-19.

• Korean Journal of Remote Sensing
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• v.20 no.5
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• pp.353-359
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• 2004

This study proposes an approach to unsupervisedly estimate the number of classes and the parameters of defining the classes in order to train the classifier. In the proposed method, the image is segmented using a spatial region growing based on hierarchical clustering, and fuzzy training is then employed to find the sample classes that well represent the ground truth. For cluster validation, this approach iteratively estimates the class-parameters in the fuzzy training for the sample classes and continuously computes the log-likelihood ratio of two consecutive class-numbers. The maximum ratio rule is applied to determine the optimal number of classes. The experimental results show that the new scheme proposed in this study could be used to select the regions with different characteristics existed on the scene of observed image as an alternative of field survey that is so expensive.