• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.115-126
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• 2020

This study focused on the development of a simulation-based educational program for communication, targeted to prevent safety accidents of patients. Application of the program to nurses working in public medical institutions was assessed to identify the effects of the program in terms of communication skill, self-efficacy, critical thinking disposition, and problem solving ability of nurses, before and after completion of the education. Method: A total of 32 nurses, working in hospitals designated as public medical institutions, were selected as subject participants in the present study. Data were collected during the period August 19 to 20, 2019, and analyzed by SPSS 23.0. Results: Results obtained from the present study reveals significant efficacy of the educational program, in respect of improved communication skill, self-efficacy, and problem-solving ability. On completion of the educational program, we observed an increase in the critical thinking disposition of nurses, although it was statistically insignificant. Conclusions: We believe that the educational program developed in the present study can be exploited as a foundation for developing other programs intending to improve the communication skill of nurses employed in clinics of public medical institutions, targeted to prevent occurrence of safety accidents of patients.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2008.10a
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• pp.34-37
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• 2008

본 연구에서는 기존의 키패드 조작방식에 익숙해져 있던 모바일 폰 이용자가 새로운 터치스크린 모바일 폰으로 기종을 변경하였을 때 생성하는 멘탈모델의 특징에 대하여 고찰하였다. 먼저, 터치스크린 모바일 폰의 기능 가운데서 가장 사용 빈도가 높은 상위 7개의 기능에 대한 실험과제를 설정하여 비디오 관찰실험을 실시하였다. 다음으로 수집된 데이터를 프로토콜 분석법을 이용하여 사용자의 조작과 관련된 사고의 변용과정을 분석하였다. 분석결과 키패드 조작방식에 익숙해져 있던 피험자들은 실험이 거듭될수록 새로운 터치스크린 모바일 폰의 조작과정에 적응하기 위하여 버튼이나 화면에 탭, 더블 탭 등 컴퓨터 운영시스템(윈도우)과 웹 브라우저 상의 내비게이션과 관련된 지식을 이용하여 멘탈모델을 수정하려는 경향이 있었다.

• Journal of Korean Society of Disaster and Security
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• v.10 no.2
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• pp.7-19
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• 2017

Recently, the incidence of disasters and safety incidents is increasing rapidly, and the interest and demands of the people are increasing. In particular, traffic accidents in Korea are decreasing due to the continuous efforts of the government and the local governments, but still higher than the OECD average. In response to such demands of the times, the 'Regional Safety Index', a numerical value that quantifies the level of safety of each local government, is being publicized every year to awaken public awareness. The Regional Safety Index covers seven categories of accidents (traffic accidents, crimes, suicide, infectious diseases, fire, safety accidents, and natural disasters) in local governments. But, this study focuses on the traffic accident area and analyzed. The target local government is Ulju county of Ulsan Metropolitan City. Based on the traffic accident statistical data of Ulju county, the analysis of the traffic accidents and vulnerable points were analyzed. Among them, 3 key improvement districts were selected and 15 vulnerable branches were selected for each key improvement district. Next, we prepared measures for improvement of each accident vulnerable site through analysis of geographic information through traffic data related to traffic accidents and interview with related organizations. In addition, the improvement measures are divided into the structural infrastructure improvement, the institutional improvement, and the traffic safety culture movement from the viewpoint of traffic accident prevention. Finally, the implications of this study are to clarify the duties and roles of the relevant departments in the municipality, based on the implementation schedule of the improvement projects for the prevention of traffic accidents and the budget plan. In addition, it is very important that the participating agencies involved in traffic accidents and the private sector participate in the project.

• The Mathematical Education
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• v.63 no.2
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• pp.255-272
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• 2024

This study aims to design mathematics-integrated classes that cultivate artificial intelligence (AI) thinking and to analyze students' AI thinking within these classes. To do this, four classes were designed through the integration of the AI4K12 Initiative's AI Big Ideas with the 2015 revised elementary mathematics curriculum. Implementation of three classes took place with 5th and 6th grade elementary school students. Leveraging the computational thinking taxonomy and the AI thinking components, a comprehensive framework for analyzing of AI thinking was established. Using this framework, analysis of students' AI thinking during these classes was conducted based on classroom discourse and supplementary worksheets. The results of the analysis were peer-reviewed by two researchers. The research findings affirm the potential of mathematics-integrated classes in nurturing students' AI thinking and underscore the viability of AI education for elementary school students. The classes, based on AI Big Ideas, facilitated elementary students' understanding of AI concepts and principles, enhanced their grasp of mathematical content elements, and reinforced mathematical process aspects. Furthermore, through activities that maintain structural consistency with previous problem-solving methods while applying them to new problems, the potential for the transfer of AI thinking was evidenced.

• Journal of Radiation Protection and Research
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• v.37 no.1
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• pp.1-9
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• 2012

A year has passed since the nuclear power plant accident in Fukushima on March 11, 2011, and a survey for public perception on radiation by Korean people has been made. The methodological design was based on a quantitative survey and a frequency analysis was done. The analysis objects were survey papers (n=2,754pcs) answered by random ordinary citizens chosen from all over the country. The questionnaires, and study tool, were directly distributed and collected. A total of 40 questionnaires using a coefficient of Cronbach's ${\alpha}$ per each area was 'self perception of radiation' (0.620), 'radiation risk' (0.830), 'benefit from radiation' (0.781), 'radiation controlled' (0.685), 'informative source of radiation' (0.831), 'influence degree from Fukushima accident' (0.763), showing rather high score from all areas. As the result of the questionnaires, the knowledge of radiation concept was 69.50 out of 100 points, which shows a rather significant difference from the result of 'know well about radiation' (53.7%) and 'just know about radiation' (37.40%). According to the survey, one of the main reasons why radiation seems risky was that once exposed to radiation, it may not have negative impacts presently but, the next generation could see negative impacts (66.1%). About 41% of our respondents showed a negative position against the government's report on radiation while 39.5% of respondents said that we should stop running nuclear power in light of Fukushima nuclear power plant accident. This study was done for the first time by Korean people's public perception on radiation after the Fukushima nuclear power plant accident. We expect this might have significant contributions to the establishment of the government's policy on radiation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.263-279
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• 2024

With the increasing trend of Cloud migration, security threats in the Cloud computing environment have also experienced a significant increase. Consequently, the importance of efficient incident investigation through log data analysis is being emphasized. In Cloud environments, the diversity of services and ease of resource creation generate a large volume of log data. Difficulties remain in determining which events to investigate when an incident occurs, and examining all the extensive log data requires considerable time and effort. Therefore, a systematic approach for efficient data investigation is necessary. CloudTrail, the Amazon Web Services(AWS) logging service, collects logs of all API call events occurring in an account. However, CloudTrail lacks insights into which logs to analyze in the event of an incident. This paper proposes an automated analysis framework that integrates Cloud Matrix and event information for efficient incident investigation. The framework enables simultaneous examination of user behavior log events, event frequency, and attack information. We believe the proposed framework contributes to Cloud incident investigations by efficiently identifying critical events based on the ATT&CK Framework.

• Korean Security Journal
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• no.36
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• pp.317-347
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• 2013

This study focuses on the characteristics of terrorist bombing incidents and causal factors on terrorist bombing incidents and number of casualty per incident in Afghanistan though statistical quantitative analysis. For doing so, the bombing data from GTD(Global Terrorism Database) of START program occurred from January 1st 2002 until December 31st 2011 was used. By using descriptive analysis, chi-square, and logistic regression analysis, characteristics of bombing incidents and causal factors on the frequency of incidents and the number of casualty were identified. According to the analysis results, a clear pattern was appeared in terrorist bombing incidents. This result suggests that terrorists rationally and strategically calculate bombing operations and therefore terrorist bombing incidents and number of casualty per incident are conditioned or affected by time, season, Pashtun tribal entity, production level of drugs, the characteristics of targets.

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.9
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• pp.1482-1491
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• 2013

The purpose of this study was to investigate the safety accidents and physical fatigues of school foodservice employees. Out of 300 questionnaires distributed from December 1~20, 2011, 276 responded. After excluding 54 incomplete questionnaires, 222 (usage rate: 74%) were examined in the final analysis. First, our results showed that in terms of safety accidents, most received bruises (92.8%), followed by burns (73.0%), cuts and lacerated wounds (69.4%), sprains (47.7%), falls (42.8%), fractures/dislocations (31.5%) and electric shock (2.7%). Second, we found that the average degree of physical fatigue of school foodservice employees was 3.65 based on the 5-point Likert scale. Specifically, pain in the arms and wrist was rated the highest, at 4.18. Third, results showed that the factors affecting physical fatigue were 'class of school' (P<0.05), 'frequency of meal serving per day' (P<0.05), 'no. of meals served per day' (P<0.001), 'no. of meals per employee' (P<0.05) and 'warm-up exercise before starting work' (P<0.05). This means that foodservice employees serving middle schools, serving meals three times per day, serving more than 1,000 meals per day, and serving more than 111 meals per employee perceive higher levels of physical fatigue. In addition, the physical fatigue of those who perform warm-up exercises before starting work was significantly lower than those who do not perform warm-up exercises before work (P<0.05). In conclusion, the frequently occurring major safety accidents of school foodservice employees were bruises and burns. An increase in workload also leads to the increasing physical fatigue of school foodservice employees. Thus, to lower the physical fatigue of school foodservice employees, school foodservice employees should be encouraged to perform warm-up exercises before staring work and new staffing guidelines for school foodservice employees should be developed.

• Journal of Korean Home Economics Education Association
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• v.31 no.2
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• pp.1-18
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• 2019

The purposes of this study were to develop analysis criteria and analyze the two subject competencies of units dealing with the core concept 'Relation' of the middle school Technology-Home Economics textbook in accordance with the 2015 revised curriculum: 'practical-problem-solving-ability' and 'relationship ability'. The subject of analysis of the current study was the activity assignment of Chapter 1 related to the core concept 'Relation', from the twelve middle school 'Technology-Home Economics II' textbooks. The results of this study were as follows: First, some textbooks showed differences in highlighting or downplaying the components of certain subject competencies. The analysis results for 'practical-problem-solving-ability' in textbook A, E, and G were shown in the high frequency, while in textbook D in the lowest frequency. The analysis results for 'relationship ability' in textbook K and A were shown in the high frequency, while in textbook J in the lowest frequency. Second, Value Judgement was the most frequent component of 'practical-problem-solving-ability' followed by Logical Thinking, Practical Reasoning, and Decision-Making. Family Relation and Sense of Community was the component of 'relationship ability' most frequently dealt with followed by Communication, Conflict Management, and Respecting Others, however Environmental and Ecological Awareness was not shown at all. The two subject competencies were mostly reflected in the Technology-Home Economics textbooks from all the twelve publishers.

• Korean Journal of Cognitive Science
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• v.20 no.3
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• pp.335-355
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• 2009

We examined risk judgment and the accuracy of inference based on two kinds of probabilities in a Bayesian inference task: the death probability from a disease (base rates) and the probability of having a disease with positive results in the screening test (posterior probabilities). Risk information were presented in either a probability or a frequency format. In Study 1, we found a numerical format effect for both base rate and posterior probability. Participants rated information as riskier and inferred more accurately in the frequency condition than in the probability condition for both base rate and posterior probability. However, there was no frequency range effect, which suggested that the ranges of frequency format did not influence risk ratings. In order to find out how the analytic thought system influences risk ratings, we compared the ratings of a computation condition and those of a no-computation condition and still found the numerical format effect in computation condition. In Study 2, we examined the numerical format effect and frequency range effect in a high and a low probability condition and found the numerical format effect at each probability level. This result suggests that people feel riskier in the frequency format than in the probability format regardless of the base rates and the posterior probability. We also found a frequency range effect only for the low base rate condition. Our results were discussed in terms of the dual process theories.