• Title/Summary/Keyword: Green Skill

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Policy Directions for Human Resources Development in the New Growth Engine Industries Based on the Analysis of the U.S. Green Job Training Framework (미국의 그린직업훈련체계 분석을 통한 우리나라 신성장동력분야 인력양성 정책방향 도출)

  • Om, Kiyong;Lee, Moonsu;Kwon, Oh-Young;Rim, Kyung-Hwa
    • The Journal of Korean Institute for Practical Engineering Education
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    • v.4 no.1
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    • pp.119-131
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    • 2012
  • This study investigated the U.S. green job training framework and specific training programs designed to respond to diverse green skill needs of industry at the federal and state level, and looked for policy directions for improving governmental job training programs in the field of new growth engine industries of Korea. As with any training program, training programs for green jobs should be responsive to the particular economic growth potential, employer needs, and workforce realities in a given country or region. The findings of the study are expected to contribute to enhancing the effectiveness of the Korean job training programs in the new growth engine industries.

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Extraction and Analysis for Emphasis Development Field in Green Construction Technology (녹색 건설기술의 중점 개발 영역에 대한 추출 및 분석)

  • Yang, Jin-Kook;Shin, Sung-Joon;Kim, Ki-Nam;Hwang, Chi-Ho;Jang, Yun-Seok
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2014.05a
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    • pp.306-307
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    • 2014
  • Green building technology has the potential a competitiveness. Reflecting this situation, the renewable energy market is growing rapidly. And, this field became value-added field in construction industry. In this study perform to prioritize the value improvements of green building technologies. To do this, first, we will extract potential development field through literature and case studies. Next, we will built a hierarchy structure based on the economic efficiency, technical skill, and policy. Third, we decide to prioritize between the items by performing AHP analysis.

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The Analysis of the Low Carbon Green Growth Education Contents in the Fisheries and Marine High School Textbooks (저탄소 녹색성장 교육 관련 수산·해운계 고등학교 교과서 분석)

  • Hwang, Jae-Ho;Park, Jong-Un
    • Journal of Fisheries and Marine Sciences Education
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    • v.24 no.3
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    • pp.395-405
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    • 2012
  • This study was investigated 35 government-authorized and officially approved textbooks for the Fisheries and marine high school which were published by the 2007 Revised Curriculum at 2009 for analyzing the objective and content domains concerning school the low carbon green growth education. Prior to the grounds of analyzing for the objective and content domains were presented, the factors of the grounds were made based on the low carbon green growth standards for the nation. According to the analysis, the findings which were as follows; 18(51.4%) in 35 textbooks and 666(6.4%) in 10,406 pages were related the low carbon green growth education in the course of the Fisheries and marine high school education. There were 37 participation domains, 27 information and knowledge domains, 9 value and attitude domains and 6 skill domains in the objective domains. The content domains were consisted of 33 green growth, 23 climate change, 10 energy conservation, 6 low carbon and 6 international cooperation.

Climate Change and Gender Inequality in Taiwan's Green Industry: Why is Female Competency Development Mattered?

  • KIM, Hae Na;HSU, Yun-Hsiang
    • East Asian Journal of Business Economics (EAJBE)
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    • v.10 no.1
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    • pp.35-45
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    • 2022
  • Purpose - In spite of the growing importance of Taiwanese green industry, most of employees who work in this industry in Taiwan are dominated by males. Only a few females are working in this industry and their wage is lower. This research is applying role congruity theory which explains why females share only a small portion in Taiwan's green industry. This study addresses a research question, "How has the gender inequality and discrimination been reflected in the occupation structure of Taiwan's green industry? How has this gender occupation structure influenced females in the green industry?" Research design, data, and methodology - To find out the impact of gender role in the green industry, the dataset of the 2015 Taiwan Social Change Survey is used. Using STATA, t test has been implemented to address our research question with three hypotheses. Result -All of hypothesis were all supported. It is found there is a statistical difference in stereotypical thinking between female who work in the green industry and the non-green industry of Taiwan. The limited female representation in the green industry of Taiwan influences job matching and job satisfaction significantly. Conclusion - This study suggests the Taiwanese government should encourage STEM education for females and provide more relevant vocational education and training particularly for females' competency development in the green industry. By providing vocational education and training to meet the skill needs of greener economy resilient to climate change, Taiwan's green industry will grow further and will overcome gender inequality and discrimination.

A Study on Korean Green Tea (韓國産(한국산) 綠茶(녹다)에 대(對)한 연구(硏究))

  • Yu, Choon-Hie;Chung, Jae-Kie
    • Journal of Nutrition and Health
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    • v.5 no.3
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    • pp.109-125
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    • 1972
  • According to the Sam-guk Sa-gi (History of three Kingdoms: Silla, Koguryo and Paeckje) tea was first brought into Korea by Kim Tae-ryeum, a diplomat, in 828 A.D. during the reign of king Hung-dot of Silla, and planted on the hill of Mt. Chi-ri. Afterwards, the tea trees were transplanted and cultivated by Buddists in many Buddist temples in southern provinces during the Silla and Koryo dynasties. People took much delight in drinking green tea, and specially the kings, buddist monks and nobilities of Silla and Koryo enjoyed drinking green tea. And eventually, the green tea became an indispensable part in all important ceremonies during the Koryo dynasty. After the Yi dynasty came into being, the dualistic philosophy of China was introduced and respected while buddist temples declined as a result of strong oppression by the ruling class. While temples were declined, the practice of drinking green tea was also declined. Nowadays we find many tea plants grow wild, which are seemed to be planted around buddist temples during the Koryo dynasty. Today, Korean people do not drink home made green tea. Instead, they like to take coffee, black tea and other tea products imported from foreign countries. Aa a result, Korea had to pay $ 520 thousand in 1969 to import foreign made tea and coffee. The natural conditions of southern provinces of Korea are very suitable in cultivating tea plants. If we develope the skill in producing good quality tea in Korea, we would be able to save the foreign exchanges that are being spent for importing foreign made tea products, and at the same time, we would be able to export our green tea to overseas. The quality of Korean green tea is as good as that of Japanese green tea. Green tea contains vitamin C while coffee and black tea do not contain it.

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The Effect of Implicit Motor Sequence Learning Through Perceptual-Motor Task in Patients with Subacute Stroke (아급성기 뇌졸중 환자에서 지각-운동 과제를 통한 내잠 학습의 효과)

  • Lee, Mi-Young;Park, Rae-Joon;Nam, Ki-Seok
    • The Journal of Korean Physical Therapy
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    • v.20 no.3
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    • pp.1-7
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    • 2008
  • Purpose: Implicit motor learning is the capacity to acquire skill through physical practice without conscious awareness of what elements of performance improved. This study investigated whether subacute stroke patients can implicitly learn a perceptual-motor task. Methods: We recruited 12 patients with subacute stroke and 12 age-matched controls. All participants performed a perceptual-motor task that involved pressing a button corresponding with colored circles (blue, green, yellow, red) on a computer screen. The task consists of 7 blocks composed of 10 repetitions for a repeating 12-element sequence (total 120 responses). Results: Both groups demonstrated significant improvement in acquisition performance. Reaction times deceased in both groups at similar rate within the sequential block trials (2-5 blocks), and reaction times increased at a similar rate when the task paradigm was transferred from the sequential block trial to the random block trial (5-6-7 blocks). Conclusion: The results of this study suggest that patients with sub-actue stroke can implicitly learn a perceptual motor skill. Although explicit instructions should be used to focus the learner's attention rather than provide information about the task, the application of implicit motor learning strategies in the rehabilitation setting may be beneficial.

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The Developing and Applying of the R.G.B. Technique for Combined Thinking Learning in the Elementary Science Classes (초등과학 수업에서 통합적 사고 학습을 위한 R.G.B. 기법 개발 및 적용)

  • Moon, Byoungchan;Lee, Kyounghak;Seo, Hanyoung;Kim, Haigyoung;Oh, Kangho
    • Journal of Korean Elementary Science Education
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    • v.32 no.1
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    • pp.10-21
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    • 2013
  • The purpose of this study was to research applying possibility of the R.G.B. technique for combined thinking learning in the elementary science classes. For this, R.G.B. technique which was designed to mark students' output with red, green and blue colors depending one's judgement was developed and applied in elementary science classes. The results were follows. Firstly, the propriety of questionnaires constitution which was developed to achieve study objects in science classes was given credit by experts. Secondly, the evaluating results of student's outputs which had been done during science classes were credible on focused achieving the objects of science classes. Thirdly, in a point of view achieving creative thinking skill as well as knowledge, R.G.B. technique was effective. Fourthly, the combined thinking learning joined R.G.B. technique has possibility of applying to general science classes. Fifthly, the students who were participating in combined thinking learning science classes based on R.G.B. technique said with great satisfaction. Consequently, combined thinking learning based on R.G.B. technique should be paid attention to the value of possibility to achieve study effects both creative thinking skill and knowledge.

A Study on the Decision Making Method for Prospective Industry/Occupation and Qualification (미래 유망 산업/직업 그리고 자격 예측을 위한 의사결정 방법에 관한 연구)

  • Lee, Won-Park;Jung, Byung-Han
    • Journal of the Korea Safety Management & Science
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    • v.13 no.3
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    • pp.183-190
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    • 2011
  • Nowadays, many countries have strived to promote prospective industries and occupations at the national level under the global circumstances such as green growth, job creation and so on. For this reason, the decision making method for qualifications foresight which will be available for the mentioned category-prospective industry and occupation- is required for it's feasibility. Pilot surveys on future workforce demand and promotion policies on service industries which are selected as a prospective industry or occupation by government parties were conducted through this research. Based on them, available qualifications-including not only national(skill) qualification but also private qualification- which can be created for prospective industries and occupations related to green growth and job creation were predicted. On the other hand, observing the change of service industry, occupation and qualification abroad, this research attempts to present the decision making method for verifying the decision' validity on qualification in Korean service industry and related occupation. Applying multicriteria decision making, a preference was examined for checking the validity of the created qualifications by prospective service industries and occupations in both sides-experts and laypeople. Based on it's result, the research was conducted regarding a validity of new qualifications in prospective industries and occupations.

Development of Machine Learning-Based Platform for Distillation Column (증류탑을 위한 머신러닝 기반 플랫폼 개발)

  • Oh, Kwang Cheol;Kwon, Hyukwon;Roh, Jiwon;Choi, Yeongryeol;Park, Hyundo;Cho, Hyungtae;Kim, Junghwan
    • Korean Chemical Engineering Research
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    • v.58 no.4
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    • pp.565-572
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    • 2020
  • This study developed a software platform using machine learning of artificial intelligence to optimize the distillation column system. The distillation column is representative and core process in the petrochemical industry. Process stabilization is difficult due to various operating conditions and continuous process characteristics, and differences in process efficiency occur depending on operator skill. The process control based on the theoretical simulation was used to overcome this problem, but it has a limitation which it can't apply to complex processes and real-time systems. This study aims to develop an empirical simulation model based on machine learning and to suggest an optimal process operation method. The development of empirical simulations involves collecting big data from the actual process, feature extraction through data mining, and representative algorithm for the chemical process. Finally, the platform for the distillation column was developed with verification through a developed model and field tests. Through the developed platform, it is possible to predict the operating parameters and provided optimal operating conditions to achieve efficient process control. This study is the basic study applying the artificial intelligence machine learning technique for the chemical process. After application on a wide variety of processes and it can be utilized to the cornerstone of the smart factory of the industry 4.0.

Bringing Computational Thinking into Science Education

  • Park, Young-Shin;Green, James
    • Journal of the Korean earth science society
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    • v.40 no.4
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    • pp.340-352
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    • 2019
  • The purpose of science education is scientific literacy, which is extended in its meaning in the $21^{st}$ century. Students must be equipped with the skills necessary to solve problems from the community beyond obtaining the knowledge from curiosity, which is called 'computational thinking'. In this paper, the authors tried to define computational thinking in science education from the view of scientific literacy in the $21^{st}$ century; (1) computational thinking is an explicit skill shown in the two steps of abstracting the problems and automating solutions, (2) computational thinking consists of concrete components and practices which are observable and measurable, (3) computational thinking is a catalyst for STEAM (Science, Technology, Engineering, Arts, and Mathematics) education, and (4) computational thinking is a cognitive process to be learned. More implication about the necessity of including computational thinking and its emphasis in implementing in science teaching and learning for the envisioned scientific literacy is added.