• Journal of Korea Society of Industrial Information Systems
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• v.24 no.1
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• pp.125-144
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• 2019

The purpose of this research is to provide implication for the preparation of the specific and practical strategy through an analysis of whether commitment to career choice (vocational exploration commitment and tendency to foreclose) acts as a mediating effect between self-determination (autonomy, competence, and relatedness) and career preparation behavior. Data was collected from 258 students at a vocational training school in Seoul, and was analyzed hierarchical regression analysis. The result shows that commitment to career choice has partial mediating effect on the relationship between self-determination and career preparation behavior. Secondly, self-determination effects on career preparation behavior and among them, the effect of relatedness is predominant. The result of this study suggest practical insights about how a vocational training school can motivate students to participate in self-determination and commitment to career choice for improved educational environment with related career preparation programs.

• Journal of The Korean Association of Information Education
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• v.26 no.5
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• pp.375-384
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• 2022

As artificial intelligence(AI) education becomes essential in elementary schools with the revised 2022 curriculum, it is necessary to develop an AI curriculum for elementary school students. In this study, I developed the AI content framework to cultivate AI literacy of elementary school students. AI education areas were largely divided into AI understanding and AI development, and detailed areas were divided into eight categories: using of AI, impact of AI, AI ethics, recognition of AI, data expression, data exploring, learning of AI, and prediction of AI. In addition, twice expert Delphi surveys were conducted to verify the validity of the subject elements and achievement standards for each area. The final draft was finalized after reflecting expert opinions on the AI education content framework. In order for AI education to be expanded in elementary schools in the future, continuous research is needed, such as developing textbooks and teaching tools according based on the AI framework proposed in this study, securing the lesson hours to apply them to schools, and correcting and supplementing the problems of them.

• Journal of the Korean Society of Food Science and Nutrition
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• v.40 no.2
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• pp.183-195
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• 2011

This study was conducted to investigate dietary behavior patterns of high school students. As for regularity of meal, female students were significantly more regular than those of the male students in a day. They answered 'between 4th and 6th grades in elementary school' as 'the time for formation about number of meal intake'. As for a highly influential meal, males were higher answered 'lunch (41.0%)' while females were higher answered 'breakfast (39.8%)'. About 'number of meals per day by the grade', they ate 3 times per day mostly. As for the time for formation about number of meal intake: 'before 4th to 6th in elementary school'> 'before elementary school'. In the result of regularity of meal and general characteristics, a family of 5 was higher in regularity and those with pocket money showed lower regularity in meal. As for the person who prepares a meal, mothers prepared meals regularly. Also, higher parents age and education level resulted in more regularity in meals. In number of meals per day and general characteristics, they were eating 3 times; moreover, this trend was evident as parents' age and education level and the household income was higher. Students answered generally regularity in meal in family where parents' jobs were administrative assistant (father job (56.9%)) and housewife (mother (56.9%). In the formation time of meal intake number and general characteristics, they answered order 'middle school'> 'before elementary school'. A highly influential meal, they answered as the highest 'lunch' (37.6%). This study may provide information on dietary behavior of high school students, suggesting that nutrition education or counseling can improve food habits and develop positive behavior.

• Journal of dental hygiene science
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• v.10 no.5
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• pp.307-314
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• 2010

This study aimed to measure such features of emotional responses perceived by students as learning climate, department living stress, and perceived helplessness to analyze their effects on major satisfaction among students at the department of dental hygiene; to do this, a survey was conducted with 431 students, regardless of college year, who were at the department of dental hygiene in four colleges in Gyeonggi Province, Daejeon, and Chungcheong Province. An existing emotion scale which went through the generalization process was used to draw a multiple model in the combination form in order to collect emotional factors affecting college students' satisfaction with their major, which had existed as a hypothetical proposition, and make overall interpretation of relevance through the explainable, predictable modeling process by measuring emotional factors and phenomenal description of the level of general perception. The results showed that major satisfaction was very significantly affected by emotional features among students at the department of dental hygiene, which needs to be treated as an important factor to enhance expertise related to major learning and improve students' living.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.265-274
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• 2017

This paper examines the problems of big data analysis education and suggests ways to solve them. Big data is a trend that the characteristic of big data is evolving from V3 to V5. For this reason, big data analysis education must take V5 into account. Because increased uncertainty can increase the risk of data analysis, internal and external structured/semi-structured data as well as disturbance factors should be analyzed to improve the reliability of the data. And when using opinion mining, error that is easy to perceive is variability and veracity. The veracity of the data can be increased when data analysis is performed against uncertain situations created by various variables and options. It is the node analysis of the textom(텍스톰) and NodeXL that students and researchers mainly use in the analysis of the association network. Social network analysis should be able to get meaningful results and predict future by analyzing the current situation based on dark data gained.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.2
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• pp.27-47
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• 2018

The purpose of this study is to find a better way for placement of teacher librarians. So, the literature research is applied for the study. It is unreasonable to arrange one school librarian staff per 1,500 students, based on the criteria of the total number of personnel including that of teacher librarians and practice teachers and librarian, in accordance with the existing enforcement decree of Article 7. In fact, this clause, linked to other related regulations, makes it difficult to place teacher librarians. And the quota of teacher librarians is noticeably low as compared with that of other teachers who are not-teaching the subject matter. This operates disadvantageously to teacher librarians when it comes to assigning quota in secondary teacher selection test and the accumulation of this phenomenon gradually worsens the current situation. The roles of teacher librarians and librarians should be defined separately when amending the Enforcement Decree of School Libraries Promotion. And we should also take into consideration that the number of students per school is around 500. Therefore, Enforcement Decree of School Libraries Promotion Act should be revised toward placing teacher librarians depending on the size and number of schools. Predictability should be secured in teacher librarians selection test. In addition, flexibility should be granted to the training institute so that many people can prepare the teacher librarians qualification. Finally, it is necessary to increase the teacher librarian capacity for private schools. This study will be the basis of the theoretical foundation for stable teacher librarian placement.

• The Mathematical Education
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• v.62 no.3
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• pp.303-326
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• 2023

Mathematics is a discipline with a strong systemic structure, and learning deficits in previous stages have a great influence on the next stages of learning. Therefore, it is necessary to frequently check whether students have learned well and to provide immediate feedback, and for this purpose, intelligent tutoring system(ITS) can be used in math education. For this reason, it is necessary to reveal how the intelligent tutoring system is effective in personalized adaptive learning. The purpose of this study is to investigate the functions and applications of intelligent tutoring system for personalized adaptive learning in mathematics. To achieve this goal, literature reviews and surveys with students were applied to derive implications. Based on the literature reviews, the functions of intelligent tutoring system for personalized adaptive learning were derived. They can be broadly divided into diagnosis and evaluation, analysis and prediction, and feedback and content delivery. The learning and lesson plans were designed by them and it was applied to fifth graders in elementary school for about three months. As a result of this study, intelligent tutoring system was mostly supporting personalized adaptive learning in mathematics in several ways. Also, the researcher suggested that more sophisticated materials and technologies should be developed for effective personalized adaptive learning in mathematics by using intelligent tutoring system.

• 한국공간정보시스템학회:학술대회논문집
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• 2005.05a
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• pp.165-174
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• 2005

고압전류가 흐르는 송전탑이 주거 밀집지역 인근에 설치되거나 송전탑과 가까운 곳에 아파트가 건설되면서 주민들이 한전을 상대로 손해배상 청구소송을 추진하는 등 전자파 피해에 따른 민원이 끊이지 않고 있다. 이와 같은 문제에 대해 해결책을 제시하기 위해서는 송전선 주변 전자파의 실체에 대해 과학적이고 객관적인 조사를 거쳐 국민에게 납득할 수 있는 대안을 제시하는 것이 선행되어야할 작업이다. 그러나 현재 전자파 데이터는 조사 지점만의 단편적인 측정치를 보여주는 수준에 머물러 있어 전자파 확산 등 광역적인 분포 추이에 대한 시각적인 정보를 입수하는 데 상당한 한계가 있다. 따라서 본 연구에서는 GIS기반의 공간 모델링 기법을 활용하여 거리와 전류를 토대로 분포되는 송전선 주변의 전자파 시뮬레이션 기법을 제안하고자 한다. 이와 같은 문제에 대해 대안을 제시하고자, 지역주민이 일상생활에서 접하고 있는 지역의 지도(건물, 도로망 등)를 전자파 유동에 관한 이론에 의거하여 3차원 상에서 전자파 시뮬레이션을 수행하였다. 전자파 시뮬레이션 결과를 검증하기 위해 사용한 실측 데이터는 인천광역시 서구 가정2동에 위치한 봉수 초등학교의 학생들에게 전자파 측정장비를 부착하도록 하여 확보하였다 송전선에서 전자파 방출에 개입하는 거리와 전류의 세기에 의거하여 전자파의 분포를 예측하였으며 실측 데이터와 이론적인 데이터를 비교하여 상관성을 평가했다. 통상 전자파 조사과정은 지도에 표기된 조사지점을 일일이 확인하는 등 모든 측정 작업을 수작업에 의존하고 있다. 따라서 DB구축에 시간이 많이 소요되고 정확도도 많이 떨어질 수밖에 없어 다양한 조건으로 방대한 자료를 공간상에서 검색하는 것 자체가 불가능하였다. 전자파의 분포를 그래픽정보로 가공하여 광역적인 전자파 변화 추이를 풍부한 시각 정보로 디스플레이 하는 것도 어려웠다. 또한 수작업으로 인한 실수도 많이 발생하고 그에 따른 교정 작업도 복잡하였다. 본 연구에서는 송전선에서 방출되어지는 전자파의 이론적인 데이터와 실측 데이터의 상관성에 따른 분석 결과를 가지고 실측 데이터 없이 GIS 기반의 3D 시뮬레이션에 의거하여 전자파의 공간적인 가시화를 수행할 수 있었다. 본 전자파 시뮬레이션 기법이 실무에 이용될 경우, 일반인이 전자파의 분포에 대한 전문지식을 습득할 필요 없이, 검색하고자 하는 지역과 송전선, 전철 등 각종 전자파의 발생 공간 객체를 선택하여 실생활과 관련된 전자파 정보에 예측할 수 있어, 대민 환경정보 서비스 질의 개선측면에서 획기적인 계기를 마련할 것으로 사료된다.

• Information Systems Review
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• v.20 no.1
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• pp.99-114
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• 2018

Technical measures for computer security are essential, but they are not a sufficient condition for security. Therefore, a personal approach to user's security behavior should be developed. Personality, which is a human aspect, is a behavioral characteristic that characterizes each individual and facilitates prediction of how an individual will behave in certain situations. Protection motivation theory has been used extensively in the security research on human behavior. The present study discusses how protection motivation was formed from personality traits. Thus, organizations can refer the result of this study for their HRD and HRM concerns.

• Journal of Korean Home Economics Education Association
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• v.30 no.2
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• pp.103-116
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• 2018

The purpose of the present study is to categorize collaborative consumption intention in high school students based on providing and using collaborative consumption behaviors, to compare and analyze the factors that predict these. Data gathered from 418 high school students through an online survey were used to conduct a descriptive statistics analysis, cluster analysis, and multinomial logistic regression. Firstly, collaborative consumer intentions were classified into four groups, including a proactive group with high providing behaviors and using behaviors, an active providing group, an active using group, and a passive group with low providing and using behaviors. Secondly, mass media, social benefits, enjoyment, community effect, and reputation were revealed as factors that increased the potential for inclusion in the active groups, and home education, mass media, enjoyment, and reputation were factors that increased the potential for inclusion in the active providing group. Enjoyment was revealed as the factor that increased the potential for inclusion in the active using group. The results of the present study show that the active utilization of consumer education and a systematic approach are required to revitalize collaborative consumption and proper settlement. Furthermore, a systematic establishment of school consumer education is needed for the balanced development of collaborative consumption. Also, an environmental system in which actual expected benefits can be experienced and realized in a diverse manner should be created to encourage consumers collaborate more actively.