• Title/Summary/Keyword: Future Problem Solving Program

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The Effectiveness of the Living Lab-based Elementary School Data Science Program (리빙랩 기반 초등학교 데이터 과학 프로그램의 효과성 분석)

  • Son, Jungmyoung;Kim, Taeyoung
    • Journal of The Korean Association of Information Education
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    • v.26 no.2
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    • pp.105-120
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    • 2022
  • In addition to the rapid changes in the times caused by the pandemic, the revision of the new curriculum coincides with the change in the proportion of the three elements of learners, society, and subjects that make up the curriculum. In particular, along with the proportion of 'social' in the curriculum, the scope of the word 'educational community' has increased, and the allowable range of curriculum restructuring centered on it has expanded. In order for the intended direction of education to be properly established in the new curriculum, various educational method studies are needed to cultivate newly emerged competencies and literacy. In this study, after selecting the contents and goals of the convergence curriculum based on various criteria for subject selection, the data science program was designed by reconstructing Living Lab's PDIE methodology. As an evaluation factor for this, we tried to analyze the effectiveness of 'creativity', 'problem-solving ability', 'communication ability', 'collaboration ability' among future competencies emphasized in the curriculum. As a result of the study, it was effective in improving creative and communication skills, and this study focuses on verifying the effectiveness of School Living Lab, suggesting the necessity of post-research that expands the application space of research and diversifies the role of educational community subjects.

A Study on the Relationship between Workplace Learning and Service Quality of Small-Enterprise: Mediating Effect of Job Satisfaction (소상공인의 일터학습과 서비스품질간의 관계에 관한 연구: 직무만족의 매개효과)

  • Choi, Jeong-Hee;Hyun, Byungl-Hwan
    • Journal of Digital Convergence
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    • v.18 no.4
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    • pp.23-35
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    • 2020
  • This study is based on prior research cases on workplace learning, which had a significant impact on corporate research. To improve problem solving and supplementing ability by keeping the opportunity to participate in workplace learning for the weak small business owners and to strengthen opportunities for practical growth, and to propose education, policy and institutional windowing. Therefore, to establish the relationship between small business owners' workplace learning, job satisfaction, and service quality, a research hypothesis was set in the background of prior research and empirical analysis was conducted. The results from 203 questionnaires were analyzed with SPSS 18.0 program. As an analytical result, first, workplace learning had a partial positive (+) impact on job satisfaction. Second, workplace learning had a partial positive (+) impact on service quality. Third, in the relationship between workplace learning and service quality, job satisfaction played a full mediating role. From this, it was found that formal learning, the subfactor of workplace learning did not have an impact on job satisfaction and service quality, as subtitle of educational environment including offsite training and self education, systematization, and structuralization depending on the poor environment of small enterprises. Therefore, it was found that small enterprises' poor environment was revealed from the managerial, economic and social perspectives and to compensate such defect, educational, policy, and institutional strategies to strengthen the opportunity for growth and development of small enterprises can be suggested to the governmental agencies or local governments. Despite the significant results of this study, there may be limitations. Therefore, further studies should be conducted in various fields with various samples in the future, and further studies should be conducted in academic and practical relationships that can improve the service quality and management performance.

Search for the Model of Developing Instructional Materials for Gifted Elementary and Secondary Students (창의적 문제해결력 계발을 위한 영재 심화 교수-학습 모형과 그 적용)

  • Cho, Seok-Hee;Kang, Sook-Hi;Jang, Young-Sook;Jung, Tae-Hee;Lee, Hye-Joo
    • Journal of Gifted/Talented Education
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    • v.12 no.2
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    • pp.31-56
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    • 2002
  • Providing gifted education should be based on the principle of differentiation, that is, paying close attention to the individual characteristics of the gifted. The gifted are known to be the fast learners with autonomous studying ability and high levels of thinking and creativity, which certainly differentiate them from the ordinary others. Thus, the program for the gifted should fundamentally differ from other general programs. The need for gifted education is growing as our society has turned into the knowledge-based society. Fortunately, on December 28th, 1999, a law in favor of gifted education was passed. According to the law, gifted education will be actively provided under the government's support from the year 2002. In this context, this study is intended to search for the model of developing instructional materials for the gifted. The output materials of this study are to be used in gifted schools which will be built in the near future. The curriculum for the gifted consists of three parts: basic curriculum, in-depth curriculum, and optional curriculum. The learning and instructional materials developed in this study are to be used for the in-depth curriculum. In order to develop the materials, various theoretical models related to gifted education were reviewed. Finally, a theoretical model was developed. On the basis of the model, several instructional materials are developed and the possibility of application are considered.

A Study on Comparison and Analysis of Civic Education in Place for Children -A Case Study on the United States, Britain, Finland, Japan, and South Korea- (어린이 공간교육의 국내외 사례 비교연구 -미국, 영국, 핀란드, 일본, 한국의 사례를 중심으로-)

  • Hue, Youn-Sun;Im, Seung-Bin
    • Journal of the Korean Institute of Landscape Architecture
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    • v.39 no.2
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    • pp.40-51
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    • 2011
  • Recently, the public's interest in quality of life and good design has increased, and the opportunities for their participation in space planning and the design process are expanding. However, the public still lacks understanding of the role(and importance) of space and environment and is not experienced in expressing their opinion on improving the urban environment. At this point, 'Built Environment Education for Kids' will be the key to understanding space and environment as future citizens and to developing the ability of problem-solving and expressing their opinions. This study aims to change the awareness of the public as well as experts, and to make a better urban space through comparison and analysis of domestic and foreign 'Built Environment Education.' In 27 countries around the world(more than 110 institutions), 'Built Environment Education' from childhood is being implemented. Such movements aim to make people participate in the space design and decision-making process by understanding a fundamental element of the built environment and space perception. In this study, the United States, Britain, Finland, Japan and South Korea's 'Built Environment Education' are discussed Above all, the definition, range and target of 'Built Environment Education' are discussed For each case, the purpose and effect, laws and educational processes, systems and roles, and examples of programs are analyzed. Through reviewing each attribute and their implications, a conclusion is drawn on the aspects we have to consider in laying the foundation for implementing the 'Built Environment Education' in Korea, such as consideration of the locality, organizing systematic networks and composing a pool of experts, building proper institutions, and establishing the role of the government. This case study of 'Built Environment Education' can help increase the awareness of the public and build their strength in establishing a better future space. Through the analysis of the purpose, laws, systems, and contents, this case study is expected to provide and build the foundation for an educational system and develop an appropriate program that best suits our society.

A Prediction of N-value Using Artificial Neural Network (인공신경망을 이용한 N치 예측)

  • Kim, Kwang Myung;Park, Hyoung June;Goo, Tae Hun;Kim, Hyung Chan
    • The Journal of Engineering Geology
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    • v.30 no.4
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    • pp.457-468
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    • 2020
  • Problems arising during pile design works for plant construction, civil and architecture work are mostly come from uncertainty of geotechnical characteristics. In particular, obtaining the N-value measured through the Standard Penetration Test (SPT) is the most important data. However, it is difficult to obtain N-value by drilling investigation throughout the all target area. There are many constraints such as licensing, time, cost, equipment access and residential complaints etc. it is impossible to obtain geotechnical characteristics through drilling investigation within a short bidding period in overseas. The geotechnical characteristics at non-drilling investigation points are usually determined by the engineer's empirical judgment, which can leads to errors in pile design and quantity calculation causing construction delay and cost increase. It would be possible to overcome this problem if N-value could be predicted at the non-drilling investigation points using limited minimum drilling investigation data. This study was conducted to predicted the N-value using an Artificial Neural Network (ANN) which one of the Artificial intelligence (AI) method. An Artificial Neural Network treats a limited amount of geotechnical characteristics as a biological logic process, providing more reliable results for input variables. The purpose of this study is to predict N-value at the non-drilling investigation points through patterns which is studied by multi-layer perceptron and error back-propagation algorithms using the minimum geotechnical data. It has been reviewed the reliability of the values that predicted by AI method compared to the measured values, and we were able to confirm the high reliability as a result. To solving geotechnical uncertainty, we will perform sensitivity analysis of input variables to increase learning effect in next steps and it may need some technical update of program. We hope that our study will be helpful to design works in the future.