• Journal of Satellite, Information and Communications
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• v.10 no.4
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• pp.17-22
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• 2015

High School and College Bridge Program for high school students to learn about specialty training through Mentors with high tech equipment before college admissions has been established. In this study we further developed the previous research experience in 2013 to mentoring program. According to this program, we developed the team learning program and then conducted analytic study on the second year achievement. They became mentees and undergraduate students or graduate course student were mentors. High school students learned how to solve problems by themselves under the mentoring education. The mentees had higher satisfaction in lecture and interest increasing factors at first part of the program. In second part, they showed more satisfaction in new knowledges and recommendation factors. The relationship and intimacy have grown through interaction between mentors and mentees during the team learning. The high school and college bridge program would have significant meaning to develope a customized program for high school students through continuous study.

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.417-425
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• 2010

This paper is 1) to find out food tourism possibility with representative local food in Dan Yang, 2) to suggest some guidelines to draw food tourists with how activities related with food affect on visit intention. The questionnaires are distributed 250 in Kyoung gi provice including Seoul. then used for data analysis 248. The results are as followed; First, 43.5% of the all respondents means for having food tourism, but 18.5% means no experiences, just having interest in food tourism. The types of food tourism showed simply visiting famous restaurant or participate on food festival. That means high possibility for food tourism. Second, tourists are tend to chose it according to recommend food by local residents, personal own taste, local cuisine & ingredients, visiting for traditional market in community, and participate on food festival in tour destination. Third, respondents are trying to chose local cuisine such as mushroom broth, mackjeok gui(Korean style barbeque), mixed rice with various herb, and rice with garlic & geondrei herb. Fourth, three variables which are food culture oriented, knowledge & information of food, health oriented in food tourism had high significant in visit intention.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6856-6862
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• 2014

Web usage mining is a method to extract meaningful patterns based on the web users' log data. Most existing patterns of web usage mining, however, do not consider the users' diverse inclination but create general models. Web users' keywords can have a variety of meanings regarding their tendency and background knowledge. This study evaluated the extraction web-user's pattern after collecting and analyzing the web usage information on the users' keywords of interest. Web-user's pattern can supply a web page network with various inclination information based on the users' keywords of interest. In addition, the Web-user's pattern can be used to recommend the most appropriate web pages and the suggested method of this experiment was confirmed to be useful.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.6
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• pp.289-294
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• 2014

In the recent enterprises and are utilizing the CRM using data mining techniques and new marketing plan. However, data mining techniques are necessary expertise, general public access is difficult, it will be subject to constraints of time and space. in this paper, in order to solve this problem, we have proposed a Mobile CRM applying the data mining method. Thus, to analyze the structure of an existing CRM system, and defines the data flow and format. Also, define the process of the system, was designed sales trend analysis algorithm and customer sales recommendation algorithm using data mining techniques. Evaluation of the proposed system, through the test scenario to ensure proper operation, it was carried out the comparison and verification with the existing system. Results of the test, the value of existing programs and data matches to verify the reliability and use queries the proposed statistical tables to reduce the analysis time of data, it was verified rapidity.

• The Journal of Korean Association of Computer Education
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• v.23 no.2
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• pp.21-29
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• 2020

The purpose of this study is to develop the educational programs for cultivating balanced view of technical understanding and social impact on Artificial Intelligence (AI). To this end, an educational program based on a constructivist approach was developed. Through an experimental class for middle school students we analyzed the concept and perception of AI and the satisfaction of the class. The main results are as follows. First, students' understanding of the concept and the cases of AI in their daily lives has improved. Second, the recognition of the impact of AI on society has emerged and concern about social impact have been lowered. Third, in terms of program satisfaction, all the factors such as understanding of AI, interest in class, interest in AI were high. With these results, we discussed the implications for AI education in elementary and secondary school.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.2
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• pp.65-72
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• 2012

In the 21st century of information systems, the amount of information resources are ever increasing and the role of information searching system is becoming criticalto easily acquire required information from the web. Generally, it requires the user to have enough pre-knowledge and superior capabilities to identify keywords of information to effectively search the web. However, most of the users undertake searching of the information without holding enough pre-knowledge and spend a lot of time associating key words which are related to their required information. Furthermore, many search engines support the keywords searching system but this only provides collection of similar words, and do not provide the user with exact relational search information with the keywords. Therefore this research report proposes a method of offering expanded user relationship search keywords by analyzing user query patterns to provide the user a system, which conveniently support their searching of the information.

• Journal of Practical Engineering Education
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• v.6 no.1
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• pp.51-55
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• 2014

A case study on engineering clinic operation based on industry needs is introduced. Engineering clinic is a course that students and professor solve bottleneck techniques provided from an industry. The industry presents the bottleneck techniques to the professor and the professor plans a course that the students learn how to solve them, and the students train field adaptability by solving them. From the course evaluation of the engineering clinic, the students give high scores to the awareness of the course objectives, the performance period, the smooth communication, the application and understanding of major, the problem solving skill, the cooperation ability, the opportunity of carrier choice, and the course recommendation. Two semesters give higher satisfaction to the students than one semester because two semesters are long enough to solve the bottleneck techniques provided from the industry. It gives good opportunity that the students get a job through completing the course.

• Journal of Internet Computing and Services
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• v.10 no.5
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• pp.95-105
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• 2009

There are various studies to provide useful information for users on huge data of web-sites. Web usage mining among them is a method to extract meaningful patterns based on web users' log data. Most of existing patterns of web usage mining, however, had not considered users' diverse inclination but created general models. Web users' keywords can have various meaning upon their tendency and background knowledge. This study is for generating Multi Concept Keyword Model (MCK-Model) by analyzing web usage information on users' keywords of interest. MCK-Model can supply web page network for various inclination based on users' keywords of interest. Also, MCK-Model can be used to recommend the most proper web pages and it has been confirmed that the suggested method is useful enough.

• The Journal of the Korea Contents Association
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• v.13 no.10
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• pp.604-614
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• 2013

In this study, a short-term activity program during vacation mainly consisted of creative drama and mindfulness was held in order to increase elementary school students' positive psychology and its effects were verified. Effects of the program were verified by means of quantitative and qualitative analysis and the results were as follows; First, most students participated in this program because their parents wanted them to instead of them wanting it voluntarily. Second, it was appeared that their self-esteem and happiness level increased significantly and their stress and depression level decreased after participating in the program. Third, approximately 65~70% students stated that it was fun, helpful, educative, and would like to recommend to other friends. Also, they reported on the perception of positive emotions and acquisition of empirical knowledge. Based on these results, implications and suggestions were discussed in this study.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.12B
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• pp.1219-1226
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• 2010

It is necessary to implementation of system contain intelligent decision making algorithm because discriminant and prediction system for Red Tide is insufficient development and the study of red tide are focused for the investigation of chemical and biological causing. In this paper, we designed inference system using case based reasoning method and implemented knowledge base that case for Red Tide. We used K-Nearest Neighbor algorithm for recommend best similar case and input 375 EA by case for Red Tide case base. As a result, conducted 10-fold cross verification for minimal impact from learning data and acquired confidence, we obtained about 84.2% average accuracy for Red Tide case and the best performance results in case by number of similarity classification k is 5. And, we implemented Red Tide monitoring system using inference result.