• Journal of Christian Education in Korea
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• v.79
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• pp.97-120
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• 2024

Purpose of the Study : This study aims to propose alternative church education methodologies utilizing generative AI in the age of artificial intelligence. To achieve this, a project-based church education program using generative AI was developed and applied for a weekend retreat at Y Church's youth ministry located in Seoul. The study involved 18 youth participants and 5 teachers, and was conducted over two weekends, from February 17-18 and February 24-25, 2024, in a non-residential format. Contents and Method : The research methods included developing and applying the generative AI-based Bible education program, then assessing program satisfaction, effectiveness, and the internalization of faith through surveys and interviews with students, teachers, and the overseeing pastor. Satisfaction was measured using pre- and post-program questionnaires, while effectiveness was evaluated through pre- and post-program mind map assessments. To measure the internalization of faith, reflection journals and interviews were conducted. Conlusion : Analysis of the data from the 16 participants who attended both pre- and post-assessments revealed satisfaction with various aspects, including preferences for educational content, the value of educational activities, effort in participating in activities, perceived competence in the activities, preferences for the educators, preferences for the institution, and willingness to recommend the program to peers. The average satisfaction score increased from 11.92 before the program to 27.25 after, showing a significant increase of 15.33, which is statistically significant at the .05 level. Although the changes in faith maturity were not explicitly detailed, a slight change in faith through practical learning was observed. Additionally, the cognitive aspects of the learning content showed longer-lasting effects compared to typical retreats.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.6
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• pp.13-22
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• 2004

This study proposes a risk analysis methodology for information system security management in which the complexity on the procedure that the existing risk analysis methodology is reduced to the least. The proposed risk analysis methodology is composed of 3 phases as follows: beforehand processing phase, counter measure setting phase, post processing phase. The basic risk analysis phase is a basic security management phase in which fixed items are checked when the information security system is not yet established or a means for the minimum security control is necessary for a short period of time. In the detailed risk analysis phase, elements of asset a vulnerability, and threat are analysed, and using a risk degree production table produced from these elements, the risk degree is classified into 13 cases. In regard to the risk, the 13 types of risk degree will execute physical, administrative, and technical measures through ways such as accepting, rejecting, reducing, and transferring. Also, an evaluation on a remaining risk of information system is performed through a penetration test, and security policy set up and post management phase is to be carried out.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.653-656
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• 2000

본 연구에서는 정보기술 및 시스템이 제조기업의 경영성과에 미치는 영향을 평가하기 위해 사전평가, 과정평가, 사후평가의 3단계 성과평가모델을 제안하고 특히, 사후평가에서는 BSC(Balanced Scorecard)의 4가지 관점인 재무, 내부 프로세스 평가영역에 대해 구매, 설계, 생산, 물류, 판매, 서비스, 연구/개발, 환경의 8가지 핵심 업무 영역으로 구분하고, 조직(학습 및 성장), 고객 평가영역에 대해서는 기업전체 또는 각 단위 사업부문별 평가를 바탕으로 각 영역별 KPI(Key Performance Index)와 KPI 영향도를 측정한다. 이러한 평가모델을 통해 시스템 도입과 활용의 전 과정을 고려하여 시스템이 업무 영역간의 재무적, 비재무적 성과에 미치는 영향을 분석할 수 있다.

• Journal of the Korean School Mathematics Society
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• v.14 no.1
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• pp.43-64
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• 2011

The purpose of this study was to analyze the progress of children's abstraction and to investigate how elementary students understand through mathematical modeling approach in the sixth grader's learning of surface area. Each small group showed their own level on abstraction in mathematical modeling progress. The participants showed improvements in understanding regarding to surface area context.

• Annual Conference of KIPS
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• 2012.04a
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• pp.1004-1006
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• 2012

본 논문은 각 지자체 및 기관에서 행해지는 다양한 축제에 대해 사전준비부터, 운영, 사후관리를 지원하기 위한 스마트 축제 관리시스템을 위한 필요요건을 분석 및 도출을 목적으로 하고 있다. 스마트 축제 관리시스템 설계 및 구현은 본 논문의 결과물과 지역축제의 요구사항을 반영하여 향후 연구에서 진행할 계획이다. 본 논문에서는 스마트 축제 관리시스템을 위한 필요요건을 도출하기 위해 공통연구단계와 축제 단계 즉, 축제준비단계, 축제수행단계 그리고 축제종료 후 사후관리 단계로 나누어 단계별로 필요한 요구사항에 대해 기술한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.6
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• pp.1074-1080
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• 2016

Big data analysis refers the ability to store, manage and analyze collected data from an existing database management tool. Thus, meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result of integrating and analyzing many quantitative research results. Commonly, factors of metabolic syndrome can be defined as abdominal obesity, systolic blood pressure, diastolic blood pressure, triglycerides, and high density lipoprotein cholesterol. In this meta-analysis, we concluded that the path between pre and post of the fasting blood glucose had the largest effect size of (r = -.324). Therefore, the effect of soybean food intervention showed an explanatory power of 10%. The second biggest effect size (r = .256) was found the path between pre and post in the waist circumference. Unfortunately, soybean food intake showed no improvement on abdominal obesity. Thus, we present the theoretical and practical implications of these results.

• International Journal of Highway Engineering
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• v.9 no.2 s.32
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• pp.77-87
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• 2007

Traffic accidents on freeway are occurred by various factors, and driver inattention is one of the most important factors causing traffic accidents. To warn drivers about unexpected dangerous events and diminish driver inattention problems, traffic safety facilities including warning and regulatory traffic signs; delineators; rumble strips are installed. In this study, the traffic safety effect of shoulder rumble sips were investigated using "Comparison Croup (C-G)" method developed by Hauer. Through the analyses, it was found that numbers of run-off-the road crashes were reduced as 2.43 crashes per year after the installation of shoulder rumble strips on the freeway. Based on the analysis results in this study, it was concluded that shoulder rumble strips on the freeway contribute to reduce traffic accidents, especially run-off-the road crashes.

• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.291-299
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• 2019

The purpose of this study is to identify the effects of laughter therapy on healthy life of human through meta-analysis of literature. Based on domestic and foreign academic databases, 495 foreign and 199 domestic literature were reviewed focusing on "quality of life," as the ultimate goal of health. The final seven literature were extracted. Analyses was performed in R version 3.5.1. Significant differences (SMD=0.23, p<0.01) were shown in the pre-post comparisons of experimental groups using the mean difference (effects size) analysis of the extracted samples. Significant results were not shown in meta regression analyses setting explanatory variables as 'treatment sessions and durations' and outcome variables as 'treatment effects of laughter therapy'. This study is meaningful in comparative analyses of pre-post experimental groups to establish 'laughter therapy' has a significant effect on improving 'quality of life' and is a useful intervention method, especially for older people, and older women with depression.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.77-86
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• 2021

A method of constructing a war simulation based on Bayesian Inference was proposed as a method of constructing heterogeneous historical war data obtained with a time difference into a single model. A method of applying a linear regression model can be considered as a method of predicting future battles by analyzing historical war results. However it is not appropriate for two heterogeneous types of historical data that reflect changes in the battlefield environment due to different times to be suitable as a single linear regression model and violation of the model's assumptions. To resolve these problems a Bayesian inference method was proposed to obtain a post-distribution by assuming the data from the previous era as a non-informative prior distribution and to infer the final posterior distribution by using it as a prior distribution to analyze the data obtained from the next era. Another advantage of the Bayesian inference method is that the results sampled by the Markov Chain Monte Carlo method can be used to infer posterior distribution or posterior predictive distribution reflecting uncertainty. In this way, it has the advantage of not only being able to utilize a variety of information rather than analyzing it with a classical linear regression model, but also continuing to update the model by reflecting additional data obtained in the future.

• The Mathematical Education
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• v.62 no.3
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• pp.381-400
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• 2023

As the era of solving various and complex problems in the real world using artificial intelligence and big data appears, problem-solving competencies that can solve realistic problems through a mathematical approach are required. In fact, the 2015 revised mathematics curriculum and the 2022 revised mathematics curriculum emphasize mathematical modeling as an activity and competency to solve real-world problems. However, the real-world problems presented in domestic and international textbooks have a high proportion of artificial problems that rarely occur in real-world. Accordingly, domestic and international countries are paying attention to the reality of mathematical modeling tasks and suggesting the need for authentic tasks that reflect students' daily lives. However, not only did previous studies focus on theoretical proposals for reality, but studies analyzing teachers' perceptions of reality and their competency to reflect reality in the task are insufficient. Accordingly, this study aims to analyze in-service mathematics teachers' perception of reality among the characteristics of tasks for mathematical modeling and the in-service mathematics teachers' competency for designing the mathematical modeling tasks. First of all, five criteria for satisfying the reality were established by analyzing literatures. Afterward, teacher training was conducted under the theme of mathematical modeling. Pre- and post-surveys for 41 in-service mathematics teachers who participated in the teacher training was conducted to confirm changes in perception of reality. The pre- and post- surveys provided a task that did not reflect reality, and in-service mathematics teachers determined whether the task given in surveys reflected reality and selected one reason for the judgment among five criteria for reality. Afterwards, frequency analysis was conducted by coding the results of the survey answered by in-service mathematics teachers in the pre- and post- survey, and frequencies were compared to confirm in-service mathematics teachers' perception changes on reality. In addition, the mathematical modeling tasks designed by in-service teachers were evaluated with the criteria for reality to confirm the teachers' competency for designing mathematical modeling tasks reflecting the reality. As a result, it was shown that in-service mathematics teachers changed from insufficient perception that only considers fragmentary criterion for reality to perceptions that consider all the five criteria of reality. In particular, as a result of analyzing the basis for judgment among in-service mathematics teachers whose judgment on reality was reversed in the pre- and post-survey, changes in the perception of in-service mathematics teachers was confirmed, who did not consider certain criteria as a criterion for reality in the pre-survey, but considered them as a criterion for reality in the post-survey. In addition, as a result of evaluating the tasks designed by in-service mathematics teachers for mathematical modeling, in-service mathematics teachers showed the competency to reflect reality in their tasks. However, among the five criteria for reality, the criterion for "situations that can occur in students' daily lives," "need to solve the task," and "require conclusions in a real-world situation" were relatively less reflected. In addition, it was found that the proportion of teachers with low task development competencies was higher in the teacher group who could not make the right judgment than in the teacher group who could make the right judgment on the reality of the task. Based on the results of these studies, this study provides implications for teacher education to enable mathematics teachers to apply mathematical modeling lesson in their classes.