• Hwankyungkyoyuk
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• v.23 no.2
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• pp.32-45
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• 2010

The purpose of the present study is to develop ecological experience learning program for the wetland so that elementary school students can recognize the significance and values of wetland and have the attitudes to protect it through their ecological experience learning, and investigate changes in elementary school students' perception for wetland. The experimental class was composed of 26 elementary school students and took the ecological experience learning. The comparison class was also composed of 26 students who took theoretical learning for wetland. It was found that knowledge and attitudes for wetland of the experimental class were significantly high not only in the knowledge area but also in the affective area than those of the comparison class. And it was found that interest and curiosity into wetland were elevated also in the results of the qualitative evaluation, suggesting that we could get the effect of ecological experience learning. Therefore, it is thought that above all, more experience learning programs for wetland are needed to develop for elementary school students' right view of nature and minds to love it by continuously finding and providing materials of experience learning like those of this research in the future.

• Journal of Korean Home Economics Education Association
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• v.13 no.1
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• pp.55-72
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• 2001

This study is to develop teaching aids in the area of Clothing and Textiles based on cooperative learning as an alternative to increase the quality of Home Economics class. It is very difficult to control students because of noise coming from activities. when teachers teach students with cooperative learning strategy a classroom with restricted space. Sometimes the activities will disturb other classes in the school. which will harm the real purpose of cooperative learning. However. we have more positive results from cooperative learning method. because students have more chance to improve their personal skills. easily solve a problem together and openly express their opinions. Moreover. we found that they understand the subjects and increase their attention much better because they are tested right after learning. We anticipate that the developed teaching aids will be a great help to improve middle school Home Economics class.

• Research in Mathematical Education
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• v.9 no.1 s.21
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• pp.59-68
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• 2005

We are introducing a new learning environment for linear algebra at Sungkyunkwan University, and this is changing our teaching methods. Korea's e-Campus Vision 2007 is a program begun in 2003, to equip lecture rooms with projection equipment, View cam, tablet PC and internet D-base. Now our linear algebra classes at Sungkyunkwan University can be taught in a modem learning environment. Lectures can easily being recorded and students can review them right after class. At Sungkyunkwan University almost $100\%$ of all large and medium size lecture rooms have been remodeled by Mar. 2005 and are in use. We introduce this system in detail and how this learning environment changed our teaching method. Analysis of the positive effect will be added.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.533-538
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• 2021

The purpose of this study is to consider the perception, which education-related workers and parents have, associated with guaranteeing the right to learn for youth migrants in Korea. The study was especially intended to analyze the opportunities and adaptions of youth migrants and make policy suggestions accordingly. To this purpose, this study implemented one-on-one in-depth interviews with research participants to collect and analyze data. This research yielded four categories: initial settlement, social security support as a fundamental right, learning rights guarantees, and psychological support. Also, seven subcategories were elicited. The suggestions based on results are followings: first, the legal basis for learning support for middle-aged adolescents; second, curriculum composition for school maladjusted middle-aged adolescents; third, individualized support system; fourth, the active promotion of support systems such as information provision; fifth, the diversification of policy for psychological stability.

• Journal for History of Mathematics
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• v.23 no.4
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• pp.59-82
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• 2010

The Purpose of this study is to draw a few lessons for the effective teaching and learning throughout a comparative analysis on the results of the educational achievement on Mathematics of the primary and secondary school students. The primary sources for this research are based on the results of the six-times national level tests performed annually by all level students from 2003 to 2008. In order to achieve this goal, I, firstly, extract the lowest content area in terms of the annual average of the right answer ratio after examining the ratio of right answers to each math problem by classifying all multiple-choice questions of the educational achievement tests from 2003 to 2008 into the relevant content areas. Next, the characteristics of the content area which distinguish the lowest right answer ratio are qualitatively analyzed. Lastly, information on the content area which the school students of all classes feel very difficult to solve is provided via reckoning the average right answer ratio per each content area against all math questions at the last six-times of the national level tests.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.5
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• pp.1209-1219
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• 2016

In knowledge based society, lifelong learning is increasing in order to meet educational needs of adult learners. Credit Bank system which is credited by individual experience, learning and qualifications are also emphasized for continuing learning participation. However, in spite of the importance of concern in the Credit Bank System, adult learners expectation and value are not high. The purpose of this study is to analyze participation valence and learning flow of adult learner in the Credit Bank System. The result of this study is summarized as follows: first, adult learners participated in the Credit Bank System to get new knowledge and skill based on internal and external motivation and requirement not involved with individual degree. Second, adult learners participating in the Credit Bank System are experiencing learning flow realizing that behavior of participation is compensated, adult learners are concentrating and feeling with satisfaction and pleasure to study. Third, participation in the Credit Bank System based on adult learner's own right learning requirement have been analyzed as it has a positive effect to the learning flow and have indicated that adult learners having high level of valence experience, recognition immersion, behavioral devotion, and egoistic immersion. Based on the conclusion, further studies are suggested.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.214-222
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• 2021

Recently, the growth of e-commerce in Saudi Arabia has been exponential, bringing new remarkable challenges. A naive approach for product matching and categorization is needed to help consumers choose the right store to purchase a product. This paper presents a machine learning approach for product matching that combines deep learning techniques with standard artificial neural networks (ANNs). Existing methods focused on product matching, whereas our model compares products based on unstructured descriptions. We evaluated our electronics dataset model from three business-to-consumer (B2C) online stores by putting the match products collectively in one dataset. The performance evaluation based on k-mean classifier prediction from three real-world online stores demonstrates that the proposed algorithm outperforms the benchmarked approach by 80% on average F1-measure.

• Journal of Korean Physical Therapy Science
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• v.16 no.4
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• pp.59-65
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• 2009

Background: Human body is formed of symmetric bilateral structures that are comprised of eye, upper arm, lower arm and etc. but, we are used only dominant components. The purpose of this study was to analysis length cognition ability in dominant eye & hand. Method: Total 180 persons (male 32, female 138) were participated in this study. They were tested with 'hole in the card' test for identification of dominant eye's side and the question for identification of dominant hand's side, then the length cognition ability was measured in right & left axillary level by describing 10cm line. Results: The results by independent t-test were as follows. In difference of length cognition ability in right axillary level between right dominant eyed group & left dominant eyed group, right dominant eyed group was superior to left dominant eyed group, but significant difference was not existed statistically(p>.05). In left axillary level, right dominant eyed group was superior to left dominant eyed group, but significant difference was not existed statistically(p>.05). In axillary level of dominant eye's side, non-crossed group was superior to crossed group, but significant difference was not existed statistically(p>.05). In axillary level of non-dominant eye's side, non-crossed group was superior to crossed group, but significant difference was not existed statistically(p>.05). Conclusion: These result can be applied to the learning of palpation & observation skill in physical therapy.

• Journal of Korea Multimedia Society
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• v.23 no.5
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• pp.650-657
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• 2020

The rapid growth of internet users and faster network speed are driving the new ICT services. ICT Technology has improved our way of thinking and style of life, but it has created security problems such as malware, ransomware, and so on. Therefore, we should research against the increase of malware and the emergence of malicious code. For this, it is necessary to accurately and quickly detect and classify malware family. In this paper, we analyzed and classified visualization technology, which is a preprocessing technology used for deep learning-based malware classification. The first method is to convert each byte into one pixel of the image to produce a grayscale image. The second method is to convert 2bytes of the binary to create a pair of coordinates. The third method is the method using LSH. We proposed improving the technique of using the entire existing malicious code file for visualization, extracting only the areas where important information is expected to exist and then visualizing it. As a result of experimenting in the method we proposed, it shows that selecting and visualizing important information and then classifying it, rather than containing all the information in malicious code, can produce better learning results.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.16 no.2
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• pp.111-118
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• 2016

Artificial intelligence (AI) is making computer systems intelligent to do right thing. The AI is used today in a variety of fields, such as journalism, medical, industry as well as entertainment. The impact of AI is becoming larger day after day. In general, the AI system has to lead the optimal decision under uncertainty. But it is difficult for the AI system can derive the best conclusion. In addition, we have a trouble to represent the intelligent capacity of AI in numeric values. Statistics has the ability to quantify the uncertainty by two approaches of frequentist and Bayesian. So in this paper, we propose a methodology of the connection between statistics and AI efficiently. We compute a fixed value for estimating the population parameter using the frequentist learning. Also we find a probability distribution to estimate the parameter of conceptual population using Bayesian learning. To show how our proposed research could be applied to practical domain, we collect the patent big data related to Apple company, and we make the AI more intelligent to understand Apple's technology.