• Korea journal of population studies
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• v.23 no.2
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• pp.113-141
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• 2000

The aim of this paper is to project the state of the labor farce and employment in Korea from 2000 to 2005. The labor market in Korea is experiencing significant changes with the rapid development of Information and Telecommunication Technology (ICT) and the transition of the Korean economy into a knowledge-based economy. On the labor supply side, it is expected that the growth of the labor force will be sluggish; baby boomers will become the middle-aged, while the proportion of senior citizens, the highly educated and the female labor force will grow fast. These changes will alter the human resources management system in business sectors. Moreover, the permanent employment relationship, the hierarchy system and the seniority-based wage system are all expected to change. On the labor demand side, the employment share in highly skilled. knowledge-intensive industries will grow faster than the rest of the economy in tandem with the quickly growing output share of these industries. Especially, more jobs will be created in the ICT industries. The proportion of labor in highly skilled and professional occupations will also grow faster than in other occupations. At the same time, the employment share of female workers will grow more quickly than that of the male workers. These changes, however, may worsen income inequalities and/or increase the unemployment rate when workers do not have the suitable skills or knowledge required by the knowledge-based economy. To avoid this, it is necessary for the government to build up a lifetime learning system for workers.

• Journal of the Korean School Mathematics Society
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• v.5 no.1
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• pp.147-155
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• 2002

Jim Libby(2000)는 임의의 M&M 밀크 쵸코렛 봉지에서 꺼낸 것을 다시 집어넣지 않고 3개의 쵸코렛을 꺼낼 때 같은 색이 나올 확률을 계산하는 방법의 논문을 썼다. Libby는 그의 논문에서 갈색, 노랑, 빨강, 주황, 초록, 파랑의 6개 색의 M&M 밀크 쵸코렛들이 똑같은 비율로 분포되었다고 가정하였다. 그러나 실제로 M&M 쵸코렛의 여섯 가지 색깔의 확률분포는 똑같은 비율이 아니다. M&M회사는 홈페이지(http://www.m-ms.com/cai/mms/faq.html)를 통해 실제적인 6개 색의 M&M 밀크 쵸코렛들의 분포는 갈색이 30%, 노랑과 빨간색이 각각 20% 주황, 초록과 파랑은 각각 10%의 분포라고 밝히고 있다. 이 논문에서 우리는 Libby가 생각하였던 문제를 실제적인 6개 색의 M&M 밀크 쵸코렛들의 확률 분표에 의거하여 다시 생각해보며, 또한 3개의 쵸코렛대신 n개의 쵸코렛을 꺼낸다고 가정하여 더욱 일반적인 결론을 유도한다. 또한 유도한 이 정확한 확률 공식과 근사 공식을 활동을 통해 점검하고 학생들이 주도적으로 지금까지 배워온 이론들을 점검할 수 있게 하였다. 활동을 시작하기 전에 정확한 확률 공식과 근사 공식과의 관계를 설명하고 기본적인 확률과 통계의 개념을 다시 정립할 수 있도록 하였다. Piaget가 '지식이란 학습자에 의해 능동적으로 구성되는 것이지 환경으로부터 수동적으로 받아들이는 것은 아니다'라고 했듯이, 활동을 통한 학습은 학생들을 능동적으로 만들기 때문에 학생들이 지식을 구성해 갈 수 있다. 활동을 간단히 소개하면 다음과 같다. 활동I에서는 초코렛을 세어서 근사 확률을 추정하는 방법이 소개된다. 어떻게 매개변수가 두 공식에 관련이 되는지를 측정하고 두 공식을 사용하여 정확한 확률과 근사 확률을 계산하여 비교해본다. 각 조원들과 이 세 과정에서 무엇을 배웠나 토론하고 다른 조들과 배운 것을 나눈다. 활동II는 두 과정으로 나누어진다. 첫 번 과정은 각 그룹의 한 학생이 주어진 쵸코렛 봉지에서 3개의 쵸코렛을 꺼낸다. 다른 학생은 표 3에 나온 결과를 기록한다. 계속하여 20번씩 한다. 다시 학생을 바꾸어 20번 계속한다. 같은 색깔의 쵸코렛이 나온 확률은 계산하기 위한 간단한 실험이고 두 번째 과정은 각 조가 웹사이트나 선생님으로부터 제공받은 프로그램을 다운로드 받아 하는 시뮬레이션이다. 이 실험 후에 학생들이 이 두 활동을 통해 무엇을 배웠는지 토론해보고 또 두 활동을 비교해 볼 수 있다. 마지막으로 M&M 쵸코렛을 먹는 것으로 활동을 마칠 수 있을 것이다. 활동 II에 나오는 두 시뮬레이션은 학생들이 수학 이론의 힘을 깨달을 뿐 아니라 수학 교실에서 큰 재미를 느끼게 될 것이다. 이 논문에서 그래픽 계산기로 할 수 있는 프로그램을 소개하였다.

• Journal of the Korean Society for information Management
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• v.41 no.1
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• pp.439-463
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• 2024

Recently, there has been a growing demand for school libraries to take on the role of curriculum convergence and content development. This study purposed to develop a program that integrates reading activities and artificial intelligence (AI) education in a middle school library as a platform for convergence education. The program aimed to enhance creative problem-solving skills by integrating an understanding of AI concepts and principles through reading activities related to AI topics. The program, comprising 18 sessions (6 modules), was implemented with 36 first-year students at A Middle School, Gyeonggi-do, in 2022. After implementation, a paired-sample t-test revealed significant improvements in AI learning self-efficacy and creative problem-solving skills. Participants also showed positive attitudes toward class engagement and reading activities. Implications for AI convergence education in connection with school libraries were discussed.

• The Mathematical Education
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• v.61 no.4
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• pp.521-537
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• 2022

The unprecedented COVID-19 pandemic has disrupted, interrupted, and changed the way we normally prepare our teacher candidates in teacher preparation programs. In this paper, we, two mathematics teacher educators (MTEs), reflect our own experiences in appropriating, transforming, reconstructing, and modifying our pedagogies of teacher education in making a transition from face-to-face to online environment during the COVID-19 pandemic. Using a collaborative self-study, we discussed issues, challenges, changes, opportunities, and innovations of teaching an elementary mathematics methods course in the online environment. Using a constant comparison method, we explored the following three themes: (1) using virtual manipulatives; (2) creating collaborative, interactive, and shared learning experiences for preservice teachers; and (3) making preservice teachers engaged in student thinking. These findings indicated that online teaching requires transformative knowledge for teacher educators. Transferring face-to-face to online is not a simple matter of putting the existing content to online; it should focus on pedagogical improvement in teaching mathematics rather than technology's sake or how it can be repurposed in a new online environment in a way that students' learning is optimized. The findings of this study provide implications for unpacking MTEs' technological pedagogical content knowledge (TPACK), creating collaborative learning experiences for preservice teachers, and designing a collaborative self-study between MTEs engaged in the community of professional learning.

• Journal of dental hygiene science
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• v.18 no.2
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• pp.85-96
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• 2018

The purpose of this study is to propose learning objectives in social dental hygiene by analyzing and reviewing learning objectives in oral health administration area of the existing public oral health. This study is a cross-sectional study. The subjects of the study selected with convenience extraction were 15 members of the social dental hygiene subcommittee of the Korean Society of Dental Hygiene Science. Data collection was conducted by self-filling questionnaire. The research tool is from 48 items of A division in the book of learning objectives in the dental hygienist national examination, and this study classified each of them into 'dental hygiene job relevance', 'dental hygiene competency relevance', 'timeliness', and 'value discrimination of educational goal setting' to comprise 192 items. Also, to collect expert opinions, this study conducted Delphi survey on 7 academic experts. Statistical analysis was performed using the IBM SPSS Statistics ver. 23.0 program (IBM Co., Armonk, NY, USA). Recoding was performed according to the degree of relevance of each learning objective and frequency analysis was performed. This study removed 18 items from the whole learning objectives in the dental hygienist national examination in the oral health administration area of public oral health. Fifteen revisions were made and 15 existing learning objectives were maintained. Forty-five learning objectives were proposed as new social dental hygiene learning objectives. The topics of learning objectives are divided into social security and medical assistance, oral health care system, oral health administration, and oral health policy. As a result of this study, it was necessary to construct the learning objectives of social dental hygiene in response to changing situation at the time. The contents of education should be revised in order of revision of learning objectives, development of competency, development of learning materials, and national examination.

• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.56-65
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• 2015

The purpose of this study is to find out the possibility of the healing function of art museums in modern times with the precedent studies and to explore the healing potential specifically. There have been studies on the various healing programs regarding patients with Alzheimer, learning disability, seniors, etc. The researcher approached this study in three aspects, art appreciation, space, communication as healing potential of art museums. These findings will be able to draw more social attention on art museums. Therefore, this study will provide a new perspective on the art museums to people concerned art museums. And it will make the professionals, working for company workers, students and other people suffering under the modern stress, recognize the art museums as a place to look inside in the professionals' own mind and to heal as well as a place for culture and sophistication. These findings will be able to draw more social attention on art museums.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1384-1387
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• 2015

고령화 사회로 진입하면서 노인들은 노화과정에 의한 보행능력의 감소 및 근력 약화와 같은 신체적 변화로 인해 잦은 낙상을 경험한다. 이에 따라 낙상 사고를 감지하는 연구가 활발히 진행되고 있다. 낙상은 사전 예방도 중요하지만 사고 발생 후의 신속한 대처도 중요하다. 낙상을 감지하고 의료진에게 즉시 낙상정보를 제공하여 후속적 조치를 취하는 것은 사고 후 대처의 핵심이다. 본 논문에서는 스마트폰 환경에서 사용자의 낙상 후 방향을 판별하기 위해 두 가지 센서 데이터의 특정 값들을 추출하였으며, 이에 5 가지 기계학습 알고리즘을 적용하였다. 사용자는 스마트폰을 착용한 상태로 전후좌우 4 방향 낙상 실험을 진행하며 스마트폰 내에 내장된 3 축 가속도 센서와 3 축 자이로 센서값을 측정한다. 피험자 11 명을 대상으로 낙상 실험 결과, 5 가지의 분류기 중 k-NN에서 98.6%의 인식률을 나타내었다. 뽑아낸 특징 값과 분류 알고리즘은 낙상의 방향 검출에 유용한 것으로 판단된다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.29-35
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• 2022

This paper proposes a fuel cell education framework installed on a Metaverse environment, which is to reduce the burden of education costs and improve the effect of education or learning. This Meta-Fuel cell platform utilizes the Unity 3D Web and enables not only theoretical education but also hands-on training. The platform was designed and developed to accommodate a variety of unit education contents, such as ppt documents, videos, etc. The platform, therdore, integrates ppt and video demonstrations for theoretical education, as well as software content "STACK-Up" for hands-on training. Theoretical education section provides specialized liberal arts knowledge on hydrogen, including renewable energy, hydrogen economy, and fuel cells. The software "STACK-Up" provides a hands-on practice on assembling the stack parts. Stack is the very core component of fuel cells. The Meta-Fuelcell platform improves the limitations of face-to-face education. It provides educators with the opportunities of non-face-to-face education without restrictions such as educational place, time, and occupancy. On the other hand, learners can choose educational themes, order, etc. It provides educators and learners with interesting experiences to be active in the metaverse space. This platform is being applied experimentally to a education project which is to develop advanced manpower in the fuel cell industry. Its improvement is in progress.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.7
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• pp.1216-1221
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• 2022

Ships tend to be larger to increase the efficiency of cargo transportation. Larger ships lead to increased travel time for ship workers, increased work intensity, and reduced work efficiency. Problems such as increased work intensity are reducing the influx of young people into labor, along with the phenomenon of avoidance of high intensity labor by the younger generation. In addition, the rapid aging of the population and decrease in the young labor force aggravate the labor shortage problem in the maritime industry. To overcome this, the maritime industry has recently introduced technologies such as an intelligent production design platform and a smart production operation management system, and a smart autonomous logistics system in one of these technologies. The smart autonomous logistics system is a technology that delivers various goods using intelligent mobile robots, and enables the robot to drive itself by using sensors such as lidar and camera. Therefore, in this paper, it was checked whether the mobile robot could autonomously drive to the stop sign by detecting the passage way of the ship deck. The autonomous driving was performed by detecting the passage way of the ship deck through the camera mounted on the mobile robot based on the data learned through Nvidia's End-to-end learning. The mobile robot was stopped by checking the stop sign using SSD MobileNetV2. The experiment was repeated five times in which the mobile robot autonomously drives to the stop sign without deviation from the ship deck passage way at a distance of about 70m. As a result of the experiment, it was confirmed that the mobile robot was driven without deviation from passage way. If the smart autonomous logistics system to which this result is applied is used in the marine industry, it is thought that the stability, reduction of labor force, and work efficiency will be improved when workers work.

• Investigative Magnetic Resonance Imaging
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• v.17 no.4
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• pp.294-307
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• 2013

Purpose : To investigate the correlations between Seoul Neuropsychological Screening Battery (SNSB) scores and the gray matter volumes (GMV) in patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) and cognitively normal (CN) elderly subjects with correcting the genotypes. Materials and Methods: Total 75 subjects were enrolled with 25 subjects for each group. The apolipoprotein E (APOE) epsilon genotypes, SNSB scores, and the 3D T1-weighted images were obtained from all subjects. Correlations between SNSB scores and GMV were investigated with the multiple regression method for each subject group using both voxel-based and region-of-interest-based analyses with covariates of age, gender, and the genotype. Results: In the AD group, Rey Complex Figure Test (RCFT) delayed recall scores were positively correlated with GMV. In the MCI group, Seoul Verbal Learning Test (SVLT) scores were positively correlated with GMV. In the CN group, GMV negatively correlated with Boston Naming Test (K-BNT) scores and Mini-Mental State Examimation (K-MMSE) scores, but positively correlated with RCFT scores. Conclusion: When we used covariates of age, gender, and the genotype, we found statistically significant correlations between some SNSB scores and GMV at some brain regions. It may be necessary to further investigate a longitudinal study to understand the correlation.