• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.417-418
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• 2012

본 논문에서는 학습자의 수준에 따라 맞춤형 학습이 필요한 컴퓨터 프로그래밍 수업에서 학습자들에게 다양한 형태의 맞춤형 학습 사례들을 적용해보고 각 사례에 참여한 학습자들의 프로그램 영역별 학습 효과를 분석하여 학습자들에게 효과적인 맞춤형 학습 유형이 어떤 것인지를 분석해보았다.

• The Journal of Economics, Marketing and Management
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• v.2 no.3
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• pp.1-5
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• 2014

The author could recommend suitable gruel in accordance with customer's needs to widen scope of selection and to increase customer satisfactions. The research would be of great help to increase sales. The professional entertainment could increase customers' reliability to be given more order: The author felt pleasant to greet customers owing to customers' compliments being healthy by taking gruel after cognizing ingredient and effects.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.67-90
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• 2008

Prior to making choices among online products and services, consumers often search online product reviews written by other consumers. Online product reviews have great influences on consumer behavior because they are believed to be more reliable than information provided by sellers. However, ever-increasing lists of product reviews make it difficult for consumers to find the right information efficiently. A customized search mechanism is a method to provide personalized information which fits the user's requirements. This study examines effects of a customized search mechanism and perceived similarity between consumers and product reviewers on consumer behaviors. More specifically, we address the following research questions: (1) Can a customized search mechanism increase perceived similarity between product review authors and readers? (2) Are product reviews perceived as more credible when product reviews were written by the authors perceived similar to them? (3) Does credibility of product reviews have a positive impact on acceptance of product reviews? (4) Does acceptance of product reviews have an influence on purchase intention of the readers? To examine these research questions, a lab experiment with a between-subject factor (whether a customized search mechanism is provided or not) design was employed. In order to enhance mundane realism and increase generalizability of the findings, the experiment sites were built based on a real online store, cherrya.com (http://www.cherrya.com/). Sixty participants were drawn from a pool that consisted of undergraduate and graduate students in a large university. Participation was voluntary; all the participants received 5,000 won to encourage their motivation and involvement in the experiment tasks. In addition, 15 participants, who selected by a random draw, received 30,000 won to actually purchase the product that he or she decided to buy during the experiment. Of the 60 participants, 25 were male and 35 were female. In examining the homogeneity between the two groups, the results of t-tests revealed no significant difference in gender, age, academic years, online shopping experience, and Internet usage. To test our research model, we completed tests of the measurement models and the structural models using PLS Graph version 3.00. The analysis confirmed individual item reliability, internal consistency, and discriminant validity of measurements. The results show that participants feel more credible when product reviews were written by the authors perceived similar to them, credibility of product reviews have a positive impact on acceptance of product reviews, and acceptance of product reviews have an influence on purchase intention of the readers. However, a customized search mechanism did not increase perceived similarity between product review authors and readers. The results imply that there is an urgent need to develop a better customized search tool in order to increase perceived similarity between product review authors and readers.

• The Mathematical Education
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• v.63 no.3
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• pp.467-484
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• 2024

The rapid advancement of generative AI has ushered in an era where anyone can create and freely utilize personalized chatbots without the need for programming expertise. This study aimed to develop a customized chatbot based on OpenAI's GPTs for the purpose of pre-service teacher education and to analyze its educational performance in mathematics as assessed by educators guiding pre-service teachers. Responses to identical questions from a general-purpose chatbot (ChatGPT), a customized GPTs-based chatbot, and an elementary mathematics education expert were compared. The expert's responses received an average score of 4.52, while the customized GPTs-based chatbot received an average score of 3.73, indicating that the latter's performance did not reach the expert level. However, the customized GPTs-based chatbot's score, which was close to "adequate" on a 5-point scale, suggests its potential educational utility. On the other hand, the general-purpose chatbot, ChatGPT, received a lower average score of 2.86, with feedback indicating that its responses were not systematic and remained at a general level, making it less suitable for use in mathematics education. Despite the proven educational effectiveness of conventional customized chatbots, the time and cost associated with their development have been significant barriers. However, with the advent of GPTs services, anyone can now easily create chatbots tailored to both educators and learners, with responses that achieve a certain level of mathematics educational validity, thereby offering effective utilization across various aspects of mathematics education.

• Korean small business review
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• v.42 no.2
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• pp.93-115
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• 2020

Government funded research institutes (GFRIs) maintain a cooperative relationship with companies and stably provide their resources through the family company system. They are thereby implementing a demand-oriented support system that responds to the needs of the company. This study analyzed the changes in corporate financial performance depending on the participation in family company system and customized support. For this purpose, 2,229 companies registered with the KITECH during 2015-2017 composed the "Family company group", and 80 companies that participated in the customized support were selected as the "customized support group". The effect of participation on the corporate financial performance was analyzed using the PSM-DID model. The analysis verified that companies in a cooperative relationship with GFRIs had a higher sales growth rate than others. Furthermore, when these companies received additional customized support, their OI and ROE were significantly improved. The value of this study lies in that it quantitatively analyzed the cooperation performance of partner companies following a sustainable SME-GRI relationship. In addition, it provides insight into the strategic support system for SMEs by confirming the necessity of a customized support based on the relationship.

• Research in Community and Public Health Nursing
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• v.20 no.4
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• pp.483-492
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• 2009

Purpose: This study was conducted to compare health-related characteristics and self-care behavior between a controlled group and a non-controlled group of hypertension patients in a customized home visiting health service. Methods: This study was conducted as cross-sectional research. The subjects were 1,317 hypertension-controlled patients and 555 non-controlled ones. Data were collected using a structured questionnaire and analyzed by descriptive statistics, $x^2$-test, and t-test using the SPSS WIN 15.0 program. Results: Sociodemographic characteristics and self-care behavior were not significantly correlated between the groups. According to health-related characteristics, the health status was significantly higher in the hypertensioncontrolled group than in the non-controlled group. The cholesterol level was significantly lower in the hypertension-controlled group than in the non-controlled group. Conclusion: Attention should be paid to patients who are not in good health status in order to control their hypertension. Also, it is necessary to educate the patients in order for them to manage their hypertension and cholesterol.

• Korean Journal of Computational Design and Engineering
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• v.21 no.3
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• pp.234-241
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• 2016

Conventional bent plate used in mandibular reconstruction surgery needs safety verification since its mechanical properties are changed due to the plastic deformation during the bending process. In this study we investigate stability of the plastically deformed plate and the plate with the same shape without plastic deformation through the finite element analysis(FEA). First we simulate the process of plate bending to fit the defect in patient. Then, the other plate is modelled to represent a customized plate with the same shape of the plastically deformed one, but without any residual stresses from plastic deformation. After binding these plates to the mandible, we conduct the masticatory simulation. Finally, we compare the resulting Von Mises stress of the customized plate and of the bent plate. The bent plate shows much higher stress than the customized one due to the residual stresses form the bending process. The study shows that plastic deformation in the plate may decrease the safety of the reconstruction surgery.

• Journal of Korean Library and Information Science Society
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• v.50 no.3
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• pp.261-291
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• 2019

In the rapidly changing information environment, users' information needs are diversified, and the necessity for libraries to provide customized curation services away from traditional services is increasing. Although the Second University Library Promotion Plan (2019~2023) mentions user-centered customized services, it is difficult to implement customized curation services in the current university library situation. Therefore, this study examined the theory and case of gamification applied to various fields inside and outside the library to apply gamification to the library, suggested MDA+ and found the junction with library curation service, and built gamification-based curation service prototype for job roadmap in university library. Finally, implications were drawn through verification of field experts.

• Journal of Korean Academy of Oral Health
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• v.42 no.4
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• pp.109-117
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• 2018

Objectives: The purpose of this study was to evaluate the customized oral health promotion program for North Korean defectors (NKDs). Methods: Using a pre-survey comprising phases 1-5 of the PRECEDE-PROCEED model, a customized oral health promotion program was created. The participants, a total of 129 NKDs, were allocated to the experimental group (n=64; 43 females and 21 males) or the control group (n=65; 46 females and 19 males). After the interventions, phases 7 to 9 of the PRECEDE-PROCEED model were executed to determine the effect of the program. Results: The results for phase 7 revealed high satisfaction with the program, with an average of 2.89 out of 3 points. In phase 8, concerning the impact evaluation, it was found that oral health beliefs and oral health knowledge were improved, with statistically significance differences before and after the experiment. Phase 9, concerning the outcome evaluation, showed that there were statistically significant differences in the average within groups before and after education in oral health beliefs (OHB), O'Leary index scores, and CPI. In terms of the difference between the groups, there were statistically significant improvement in OHB, O'Leary index scores, and CPI after the education program. Conclusions: The oral health promotion program developed in this study has made a positive contribution to improve the oral health status of NKDs.

• Journal of Engineering Education Research
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• v.25 no.5
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• pp.44-54
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• 2022

The purpose of this study is to effectively implement the artificial intelligence education required in the digital transformation era. As we enter the era of the 4th industrial revolution, the demand for a great digital transformation in industry is essential, and the nurturing of manpower is presented as an indispensable relationship in the industrial field based on it. The integration of various new technologies that have emerged from the era of the 4th industrial revolution has the greatest purpose in realizing artificial intelligence technology. As the importance of digital competency in the top curriculum reorganization has been highlighted, artificial intelligence education is necessary even in the curriculum reorganization in 2022, and there is a demand in the educational field that it should be converted into a mandatory education in middle and high schools. Artificial intelligence education according to the demands of the times is to develop an artificial intelligence curriculum in universities by reestablishing systematic artificial intelligence education in universities, setting educational goals, and presenting the goals of artificial intelligence education by major. The main direction of this study is to present the relationship between artificial intelligence and each major in university education, develop a curriculum based on artificial intelligence for each major, and link artificial intelligence software for AI education customized for each major. We would like to present a process that can measure the learning outcomes of AI education.