• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.38-40
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• 2021

Medical domain has a massive number of data records without the response value. Self-supervised learning is a suitable method for medical data since it learns pretext-task and supervision, which the model can understand the semantic representation of data without response values. However, since self-supervised learning performance depends on the expression learned by the pretext-task, it is necessary to define an appropriate Pretext-task with data feature consideration. In this paper, to actively exploit the unlabeled medical data into artificial intelligence research, experimentally find pretext-tasks that suitable for the medical data and analyze the result. We use the x-ray image dataset which is effectively utilizable for the medical domain.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.7
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• pp.1380-1386
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• 2007

This paper proposed an automatic recognition system of shipping container identifiers using fuzzy-based noise removal method and ART2-based self-organizing supervised learning algorithm. Generally, identifiers of a shipping container have a feature that the color of characters is blacker white. Considering such a feature, in a container image, all areas excepting areas with black or white colors are regarded as noises, and areas of identifiers and noises are discriminated by using a fuzzy-based noise detection method. Areas of identifiers are extracted by applying the edge detection by Sobel masking operation and the vertical and horizontal block extraction in turn to the noise-removed image. Extracted areas are binarized by using the iteration binarization algorithm, and individual identifiers are extracted by applying 8-directional contour tacking method. This paper proposed an ART2-based self-organizing supervised learning algorithm for the identifier recognition, which improves the performance of learning by applying generalized delta learning and Delta-bar-Delta algorithm. Experiments using real images of shipping containers showed that the proposed identifier extraction method and the ART2-based self-organizing supervised learning algorithm are more improved compared with the methods previously proposed.

• Journal of Elementary Mathematics Education in Korea
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• v.10 no.2
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• pp.151-169
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• 2006

This study is to adjust the Theory in the Mathematics Education, apply it to learning mathematics and to analyse its effectiveness. The results of the study are summarized as follows. First, because learning mathematics is hierarchical, teachers must make and use a task analysis table classified by units. Second, development age and the retention of mathematics concepts are intimately associated with cognitive development theory. Third, learning mathematics through cognitive processes enhances a student's scholastic achievement. Fourth, students interests and self-confidence can be enhanced through the presentation of both examples and non-examples. We cannot understand the higher-order concepts of mathematics by only its definitions. The only way of understanding such concepts is to have experience through suitable examples.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10d
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• pp.487-491
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• 2006

학교현장은 평균 43명의 과밀학급(인천광역시 연수고등학교 2학년)으로, 컴퓨터실에서 교사는 학생들을 관리하기 위해 학생 PC의 전원 끄는 경우가 있다. 교사는 학생의 컴퓨터를 감시하여 수업과 관련 없는 웹(web) 사이트를 방문하는 학생들의 수업 이외의 장난을 막으면서 학생들에게 수업해야 하기 때문이다. 그러나 학생은 이러한 방식에 반발심을 사거나 학생들의 학습 의욕을 떨어트리는 요인으로 작용한다고 본다. 또한 컴퓨터실 수업에서 일반적으로 교사는 "바쁜 교사"이다. 제한된 시간에 학습자 개인의 흥미나 욕구를 반영하여 개별 학습자의 능력 혹은 수준에 맞추어 수업의 내용의 내용과 속도를 다르게 가르치는 개별지도가 불가능하다. 현실이 이렇다 보니 컴퓨터라는 정보화 기기를 활용한 수업이 효율적으로 이루어지지 않고 있다. 본 연구에서는 이러한 문제점을 해결하고자 학습 초기에 개별학습을 하면서 학습 진행에 어려움을 격을 시 학생과 학생사이에 다양한 상호작용을 촉진시키도록 협력학습 체제를 구축하고 학생들의 학습을 모니터링하면서 학생 또는 협력학습 모둠이 문제 해결에 어려움이 처한 경우나 실패한 경우 교사의 개별지도가 가능하게 할 수 있는 실시간 협력학습 체제를 설계하였다.

• Journal of Korean Home Economics Education Association
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• v.30 no.3
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• pp.91-109
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• 2018

This research aimed to develop teaching-learning plans applying character education components and STAD cooperative learning strategy focusing on the 'Housing and residential environment' unit in accordance with the 2009 revised Technology·Home Economics curriculum. In order to achieve the purpose of the research, this study was conducted in order of analysis, design, development, and evaluation. The results of this study is as follows. First, at the analysis stage, relevant literature, Technology·Home economics curriculum, and the contents of "housing and residential environment" unit from 12 textbooks published by 12 publishers were analyzed. Second, at the design stage, teaching-learning plans, teaching materials, and learning activity sheets applying character education components and STAD cooperative learning strategy were designed to increase the interest degree of the learner and character of middle school students. Third, at the development stage, a total of 8 classes of teaching-learning plan was developed. In the evaluation stage, the primary and secondary validity evaluation procedures were done by Home Economics education professors and Home Economics teachers. Teaching-learning plans and learning activity sheets were revised and complemented based on the feedback from the first validity evaluation. As a result of secondary validity evaluation, it can be seen that the teaching-learning plans and learning activity sheets developed in this research are reasonable and suitable for improving character of middle school students. It is expected that these teaching materials applying STAD and character education components will be utilized as a helpful source for curriculum developers and in-service teachers.

• Journal of Korean Home Economics Education Association
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• v.20 no.2
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• pp.1-14
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• 2008

This study was performed to evaluate the effect of the e-Learning application on the teaching learning method in Technology-Home Economics of Middle School. For e-Learning of clothing part, diverse teaching programs and contents were reconstructed and provided in cyber-space. Among the uploaded diverse materials including advanced and supplementary materials, students could make a choice which depends on their own levels. Since the results of assignments could be uploaded in cyber-space and easily accessible to all students, the reliablity of estimation was increased and self-directed learning ability was improved. Also, more effective teaching learning activity could be expected through the mutual exchange of opinion between students and teacher, and among students. Besides, counselling and advices on overall aspect of student's life were also possible. The students were generally satisfied to e-Learning instruction. The interest and understanding about clothing part were increased, and the academic attitude and habit were positively changed. Also they responded that e-Learning instruction were very helpful because learning was possible even after school, diverse materials for learning were available, and submitting the results of assignments was very convenient. In conclusion, the application of e-Learning on the teaching learning method was very effective and should be encouraged. The development and supplement of diverse programs and contents will be necessary for more successful e-Learning instructions.

• Journal of The Korean Association For Science Education
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• v.19 no.2
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• pp.305-314
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• 1999

The effects of three teaching models were compared in this research. One of those is concept change model, another is concept change model based on students learning motivations, the other is traditional teaching method based on science textbooks. The subjects of this research were the 8th grade students of Korean middle school. They were divided into three groups, and tested learning motivations. All of the three groups improved their learning motivations and concept understanding by the classes. Especially, the group of concept change model based on students learning motivations represented most effective improvement of learning motivations. The concept change teaching model and concept change teaching model based on students learning motivations are more effective in concept understanding than traditional teaching method based on textbooks. The students who have high learning motivations improved their concept understanding by the classes of concept change model based on students learning motivations. The students who have low learning motivations improved their learning motivations by the classes of concept change model based on students learning motivations also.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.101-112
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• 2017

The purpose of this study is to find out what kind of experience and effect the learner - centered team - based learning (tbl)method has on pre - nursing learner's nursing English course. Participants were 12 preliminary nursing learner, it was analyzed through learning result recording, study observation, learning satisfaction, learner's report, peer evaluation. And described the meaning of the learning experience, individual and team scores were analyzed using frequency analysis, paired-t test. The results showed that the score of each team was higher than the score of individual in both. The tbl experience has been a form of intimacy with colleagues, a motivation for learning, self-study, easy to learn the medical terminology felt through repeated learning, to improve their score by having them secondary group test and they remembered it as a pleasant learning time.

• Journal of the Korea Computer Industry Society
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• v.3 no.1
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• pp.45-56
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• 2002

The object of our research is to design and to embody the learning system of numerical concept for the mathematic loaming disabilities. The existing system for the learning disabilities was a simple repeating practice system, repeating the same learning contents to obtain the skill, ignoring the learner's disability situation. This bears a problem that the interest and motivation in the learning media will reduce as the learning goes on. This loaming system offers the learning process of numerical concept by showing an animation file of a real life and offering a concrete mouse manipulating practice environment, so as to maintain the motivation of the learner, giving an instant compensation and feedback. If this system are used in directing the learning disabilities, it will help them to stay motivated and to create a positive teaming attitude by a variety level learning system, supporting suitable speed and learning contents for the learning disabilities individuals.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.2
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• pp.225-230
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• 2020

Machine learning is an algorithm which learns a computer based on the data so that the computer can identify the trend of the data and predict the output of new input data. Machine learning can be classified into supervised learning, unsupervised learning, and reinforcement learning. Supervised learning is a way of learning a machine with given label of data. In other words, a method of inferring a function of the system through a pair of data and a label is used to predict a result using a function inferred about new input data. If the predicted value is continuous, regression analysis is used. If the predicted value is discrete, it is used as a classification. A result of analysis, no. 8 (5, 3.4, setosa), 27 (5, 3.4, setosa), 41 (5, 3.5, setosa), 44 (5, 3.5, setosa) and 40 (5.1, 3.4, setosa) in Table 3 were classified as the most similar Iris flower. Therefore, theoretical practical are suggested.