• The KIPS Transactions:PartA
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• v.9A no.3
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• pp.301-310
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• 2002

Internet has been applied to the educational field such as data search, lecture by motion picture, realtime examination. Most questions made for these remote examinations use methods of making questions randomly using fixed questions or item pools. The designed system in this paper makes questions without knowing MARK-UP language and after undergoing examinations on Web. Also it readjusts degree of difficulty automatically on the basis of the rate of correct answers. In addition, this enables learners to perform feedback learning after examinations and subsequently learners themselves to adjust their degree of difficulty and undergo reexaminations. The automatic selection system makes it easy to select questions, possible to expect average marks and number of questions made, and to prevent that questions may be made too easy or too hard. For a remote examination, as there are much possibilities of dishonesty such as examination by proxy so different types of problems are made, and problems of the rationality caused from that can be avoided.

• International journal of advanced smart convergence
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• v.9 no.1
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• pp.1-9
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• 2020

This study was conducted to investigate the effects of computer attitudes such as anxiety, confidence, preference, usefulness, and computer literacy on their critical thinking ability, targeting college students at unspecified university universities. The period of data collection was from January 10, 2020 to January 17, 2020. A total of 213 people participated in the study. For data analysis, SPSS 18.0 was used for frequency analysis, Pearson correlation, x2 square, and simple regression analysis. As a result of the analysis, the difference of interests under the statistical significance level among general characteristics was Gender (x²=55.7^***, p<0.001), Age (x²=407.5^***, p<0.001), Resident (x²=127.5^***, p<0.001) Family (x²=289.4^***, p<0.001). In the simple regression analysis, computer liking (t=2.102, p<0.05) and computer use ability affected Truth seeking (t=-6.319, p<0.01), computer use ability was affecting analyticity (t=-5.630, p<0.01), computer use ability was affecting systematicity (t=-2.545, p<0.05), computer use ability was affecting maturity under statistical significance (t=-2.583, p<0.05). In conclusion, this study suggests that computer liking and computer use ability affect the sub-factor components of critical thinking disposition, truth seeking, analyticity, systematicity, and maturity, therefore the emphasis of this study is to emphasize that it is desirable to use the computer as a medium of learning based on computer literacy rather than worrying about excessive computer use.

• The Journal of Korean Association of Computer Education
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• v.13 no.2
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• pp.25-34
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• 2010

The Internet has brought us a new paradigm called WEB 2.0 which inherently represents the openness, participation, sharing, and cooperation. The WEB 2.0 has rendered people to actively participate in the creation of information and to dynamically interact with others to build mutual knowledge-bases, introducing a whole new web environment. One of the most representative techniques demonstrating the value of the WEB 2.0 is the WIKI which is essentially based on the 'Collective Intelligence' and the 'Wisdom of Crowds'. So far, the WIKI has drawn lots of attention for its potential as an educational tool. In this research, we explored the educational potential of the WIKI by investigating various programs and web-based tools offering WIKI services, and then, analyzing the usage model and characteristics of its users. Based on the analysis, we developed a WIKI-based instructional model and also proposed concrete lesson plans adopting this model. Besides, we introduced preliminary methodologies on the active use of the WIKI in the Edunet and the Cyber Home Learning System as well.

• The Journal of Korean Association of Computer Education
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• v.14 no.2
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• pp.23-32
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• 2011

The Internet is appearing a new paradigm called Web 2.0 which 'Participation', 'Sharing', 'Openness', 'Cooperation'. Web 2.0 is expanded by experts and general users and many people's ideas can solve more problems than an expert's idea. The collective intelligence is techniques that express the valuable of Web 2.0. For this reason, the collective intelligence has attracted attention because of its potential as an educational tool. The purpose of this study is to develop a PBL-based programming instruction model using collective intelligence to improve students' problem solving abilities and programming attitudes and verified its effectiveness. As a result, the developed instruction model showed significant differences in the students' problem solving abilities and programming attitudes. According to these results, these have been proved that a PBL-based programming instruction model using collective intelligence has an influence to the students' problem solving abilities and programming attitudes.

• Journal of Advanced Marine Engineering and Technology
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• v.34 no.6
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• pp.871-879
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• 2010

In this paper, we present a system that classifies comments on a news article into a user opinion called a polarity (positive or negative). The system is a kind of document classification system for comments and is based on machine learning techniques like support vector machine. Unlike normal documents, comments have their body that can influence classifying their opinions as polarities. In this paper, we propose a feature weighting scheme using such characteristics of comments and several resources for opinion classification. Through our experiments, the weighting scheme have turned out to be useful for opinion classification in comments on Korean news articles. Also Korean character n-grams (bigram or trigram) have been revealed to be helpful for opinion classification in comments including lots of Internet words or typos. In the future, we will apply this scheme to opinion analysis of comments of product reviews as well as news articles.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.454-460
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• 2020

In recent years, the rapid increases in video distribution and viewing over the Internet have increased the risk of personal information exposure. In this paper, a method is proposed to robustly identify areas in images where a person's privacy is compromised and simultaneously blocking the object area by blurring it while rapidly tracking it using a prediction algorithm. With this method, the target object area is accurately identified using artificial neural network-based learning. The detected object area is then tracked using a location prediction algorithm and is continuously blocked by blurring it. Experimental results show that the proposed method effectively blocks private areas in images by blurring them, while at the same time tracking the target objects about 2.5% more accurately than another existing method. The proposed blocking method is expected to be useful in many applications, such as protection of personal information, video security, object tracking, etc.

• Journal of The Korean Association of Information Education
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• v.6 no.3
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• pp.347-360
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• 2002

Advances in information communication technology (ICT) require new paradigms in every aspect of our society. In this sense, schools are supposed to educate students to solve real-world problems with ICT. However, schools have not provided quality education to students for learning ICT and applying it. It is thus necessary to develop various ICT instruction models for creative students to lead the information society. One of the popular instruction models using the Web is the project-based model. The model includes inquiry activities of areas, such as variety of subjects, real-world problems, issues, and presentation activities of study results. The model also encourages interactions among students for achieving common goals. In this paper, we present an ICT application instruction which provides four major enhancements to the existing project-based model. The stages of model consist of eight activities type and supporting tools. Also, we implement our proposed model for some elementary school courses.

• Journal of The Korean Association of Information Education
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• v.15 no.2
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• pp.171-178
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• 2011

The study proposed new approach for the developing a game addiction treatment program using digital storytelling. We chose 5 types of multimedia elements as educational contents for digital storytelling learning and prepared the teaching strategy for game addiction treatment. We applied the proposed program to 5 students who were included the high risk-user group of game addiction. We also conducted the game addiction tendency test, game usage time test, interview and the effectiveness test of proposed program. As a result of tests, the proposed program showed a positive effect that reduced the game addiction tendency. In the effectiveness test of proposed program, we found the result that 5 experimenters were improved the immersions, challenges, and social interaction, sense of accomplishment in digital storytelling program. We expect that this study will provide positive role and new education strategy for game addiction treatment.

• Journal of The Korean Association of Information Education
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• v.13 no.3
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• pp.273-280
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• 2009

The internet becomes a new communication tool in the knowledge and information society and the people are expanded at the place of information interchange and exchange of view. In recent robot education institutions provide their own official homepages to introduce the robot educational resources. But because they have restrictive searching the functions and providing general robot education resources and don't offer a place that teachers can express their thoughts and share common interests with other users, online community among teachers for robot education and users couldn't have built. In this paper, we propose an Online Robot Education Community(OREC) that teachers and users in different robot education institutions can interchange or share their technical information, learn robot techniques, participate in discussion of their experiences on work, share their common interests, and be provided updated latest news in real-time.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.6 no.2
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• pp.149-158
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• 2005

In this paper, we have designed and implemented a portable e-tongue (electronic tongue) system using MACS (multi array chemical sensor) and PDA. The system embedded in PDA has merits such as comfortable user interface and data transfer by internet from on-site to remote computer. MACS was made up 7 electrodes (${NH_4}^+$, $Na^+$, $Cl^-$, ${NO_3}^-$, $K^+$, $Ca^{2+}$, $Na^+$, pH) and a reference electrode. For learning the system, we adapted the Levenberg-Marquardt algorithm based on the back-propagation, which could iteratively learned the pre-determined standard patterns, in e-tongue system. Conclusionally, the relationship between the standard patterns and unknown pattern can be easily analyzed. The e-tongue was applied to whiskeys and cognac (one high level whisky, one low level whiskey, two cognac) and 2 sample whiskeys for each standard patterns and unknown patterns. The relationship between the standard patterns and unknown patterns can be easily analyzed.