• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.158-170
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• 2022

The purpose of this study is to analyze class satisfaction with peer evaluation in Collaborative Learning-based classes. For collaborative learning-based classes, problem-based learning and project-based learning were selected. Educational implications were derived by designing Instructional procedures of Collaborative Learning-based classes, Peer evaluation types and questionnaire design, Peer evaluation progress of Collaborative Learning-based classes, Class satisfaction research and analysis In Collaborative Learning-based classes. The subjects of the study were participants in Collaborative Learning-based classes selected as problem-based learning and project-based classes. For class satisfaction with peer evaluation in Collaborative Learning-based classes, a survey was conducted on 168 participants A University in Korea. The research tool was designed as Learning procedures for peer evaluation Collaborative Learning-based classes is Team Building, Plan to the Task, To do Task, Mid-check on task, Task completion, Presentation & Evaluation, Reflection & Self-Evaluation. The content validity of items was confirmed by CVR of 12 experts. In the research results, the average class satisfaction of peer evaluation is 4.05(SD=91), followed by class concentration, diligence, voluntary, learning atmosphere. As a result of t-testing the difference in class type between collaborate learning-based classes, the satisfaction of PBL was higher than that of PjBL and a statistically significant difference was observed. The result of this study have significance in providing implications for class design and operation for the application and expansion of peer evaluation in higher education. However, there is a limit to generalization as a result of research using convenience.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.355-363
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• 2020

This study is conducted to examine the changes in class perception and career perception according to the teaching method for dental hygiene students in some areas of Gangwon-do. Using the same questionnaire, the first questionnaire was conducted after contact classes in December 2019, and the second questionnaire was conducted after non-contact classes in July 2020. Data were analyzed using SPSS Windows 24.0, and the results are as follows. There were differences in class perception and career perception according to grades, and career interest, career curiosity, and career confidence were different according to school life satisfaction and professional tooth cleaning Class satisfaction. In the case of non-contact classes, the proportion of career decisions through the internet increased, and career confidence also increased. These results can be provided as basic data necessary for the use of methods such as flip-learning classes in consideration of the convergence aspect in the practical subject class management and for the production of standardized practical videos for practical tests.

• Journal of Industrial Convergence
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• v.20 no.2
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• pp.51-59
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• 2022

In this paper, We analyze elementary school teachers' experiences of Novel Engineering classes with phenomenological qualitative research method. The purpose of this study is to find out why elementary school teachers were interested in Novel Engineering, to find out the pros and cons of the class and the possibility of convergence classes. At first elementary teachers who participated in the study conducted a theme-based ecological sensitivity classes with Novel Engineering in the second semester of 2021. Then we conducted interview with teacher's student observation and the teacher's reflection. As a result of interview analysis, 4 components and 13 sub-components were derived. The derived components are learning from mistakes, recognition of the importance of class research, creativity in the making process, and high integration of Novel Engineering and existing subjects. Based on these results, What this research suggests is the expansion of administrative and financial support for teachers' autonomous class research and convergence classes such as Novel Engineering.

• Bulletin of the Korean Mathematical Society
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• v.40 no.3
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• pp.351-363
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• 2003

In the present paper, some general convergence principles are established in metric spaces and then theses principles are applied to the convergence of the iterative sequences for approximating fixed points of certain classes of mappings. By virtue of our principles, most of the latest results obtained by several authors can be deduced easily.

• Bulletin of the Korean Mathematical Society
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• v.21 no.2
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• pp.138-138
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• 1984

• Kyungpook Mathematical Journal
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• v.4 no.1
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• pp.1-4
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• 1961

• Journal of the Korean Statistical Society
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• v.27 no.2
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• pp.153-163
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• 1998

We investigate density estimation problem in the L$^{\infty}$ norm and show that the iii optimal minimax rates are achieved for smooth classes of weakly dependent stationary sequences. Our results are then applied to give uniform convergence rates for various problems including the Gibbs sampler.

• Journal of Convergence for Information Technology
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• v.10 no.3
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• pp.185-194
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• 2020

This study conducted a survey to investigate the effect of the elderly-related experience on ageism in college students in Busan and Ulsan area. The total score of ageism was lower in the students with the experience in living with the elderly (p<.001), taking elderly-related classes (p<.01), and volunteering for the elderly. The effect of the experience in the elderly on the emotional avoidance was significant in the students with the experience in living with the elderly (p<0.001), volunteering for the elderly(p<0.01), and taking elderly-related classes (p<0.05). The effect on ageism was significant in the students with the experience in living with the elderly (p<0.001), volunteering for the elderly (p<0.01), and taking elderly-related classes (p<0.05). Therefore, taking elderly-related classes and volunteering for elderly to build social, physical, and emotional empathy will have a positive effect on the attitudes and the point of view on the elderly.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.369-375
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• 2021

The study explores the kinds of emotions freshmen in South Korea universities experience. Specifically, the study examines their emotional experiences on level-differentiated classes, team-teaching by native speakers and Korean professors, and communicative activities. 327 freshmen participated in the survey based on 'Academic Emotions Questionnaire (AEQ)' and the statistical results are as follows: Firstly, research showed that the participants in advanced classes feel higher negative emotions such as 'worries' and 'boredom' than those of beginner and intermediated classes (P < .05). Secondly, participants feel higher level of 'fun', 'satisfaction' and lower level for 'boredom' in the native speaker classes than those of Korean professors (P < .001). Thirdly, participants feel games are the most 'fun' and 'satisfying', while presentations are viewed as the most 'worrying' and 'boring' among the communicative activities (P < .001). Finally, the pedagogical implications and suggestions are discussed.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.75-81
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• 2019

Though recent advancement of deep learning methods have provided satisfactory results from large data domain, somehow yield poor performance on few-shot classification tasks. In order to train a model with strong performance, i.e. deep convolutional neural network, it depends heavily on huge dataset and the labeled classes of the dataset can be extremely humongous. The cost of human annotation and scarcity of the data among the classes have drastically limited the capability of current image classification model. On the contrary, humans are excellent in terms of learning or recognizing new unseen classes with merely small set of labeled examples. Few-shot learning aims to train a classification model with limited labeled samples to recognize new classes that have neverseen during training process. In this paper, we increase the backbone depth of the embedding network in orderto learn the variation between the intra-class. By increasing the network depth of the embedding module, we are able to achieve competitive performance due to the minimized intra-class variation.