• The Bulletin of The Korean Astronomical Society
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• v.46 no.2
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• pp.55.1-55.1
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• 2021

천문 분야는 다른 과학 분야와 달리 탐구대상인 천체들이 먼 거리에 있고, 실험실에서 동일 실험과 반복 실험이 불가능하며, 추상적이고 직접 관측하기 어려운 개념에 대한 연구들이 많다. 따라서 최근 인공지능, 증강현실 및 3D 프린팅 기술 등은 천문교과 교육과정과 연계하여 학생들의 지각 능력을 자극하고 실제 활동과 유사한 경험을 제공할 수 있도록 단계적인 학습경험을 도와 천문 분야 체험활동으로 연결시키고 있다. 이에 본 연구는 학생들이 망원경의 원리와 분해 및 조립에 대한 지식함양을 위해 3D 프린팅 기술과 AR을 활용하여 학생들의 천문관측 망원경에 대한 이해와 천문관련 체험활동에 대한 프로그램을 개발하여 적용하였다. 이 연구에서 개발한 프로그램은 3D 프린팅 기술을 활용하여 망원경의 세부 부품을 학생들이 직접 설계 및 제작하고, 자석을 이용하여 망원경을 조립, 분해 실습을 할 수 있도록 하였다. 또한, AR(증강현실)을 활용하여 빛을 모으는 망원경의 구조를 직접 실험을 통해 확인하고 빛의 반사와 굴절 원리를 학습하는 내용을 개발 프로그램에 포함하였다.

• Journal of the Korean association of regional geographers
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• v.11 no.2
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• pp.247-262
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• 2005

Environmental education has been introduced in elementary education in the early 1980s; while, environmentally responsible behavior was not improved as much as the educators expected. This paper analyzed the contents of environment education in the textbooks and objectives of the teacher's guidebooks in the seventh national curriculum. The proportion of cognitive objectives were higher than affective ones. Environment preservation and countermeasure, natural environment, environment pollution were overemphasized in all grades. The contents of environmental education were not progressed; it did not follow the spiral curriculum. Social studies dealt with on built environment, population, industrialization and urbanization, resources that the other subjects did not much concern on. Geographic area in social studies was well fit to teach environment as a holistic approach. Environmental programs oriented geographic area within social studies could help to conduct outdoor activities in the residential areas; therefore, environmentally responsible behavior would be improved.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.285-293
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• 2021

With the advent of the 4th Industrial Revolution, AI utilization capabilities are being emphasized in various industries, but AI education design and curriculum research as universal education is currently lacking. This study offers a design for universal AI education to further cultivate its use in universities. For the AI basic education design, a questionnaire was conducted for experts three times, and the reliability of the derived design contents was verified by reflecting the results. As a result, the main competencies for cultivating AI literacy were data literacy, AI understanding and utilization, and the main detailed areas derived were data structure understanding and processing, visualization, word cloud, public data utilization, and machine learning concept understanding and utilization. The educational design content derived through this study is expected to increase the value of competency-centered AI universal education in the future.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.19 no.1
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• pp.67-71
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• 1986

Concentration of dissolved $vitamin\;B_{12}$ in the water of Okjeong lake have been determined by microbiological assay methods on the 20th of August, 1983. Also the relations between the $vitamin\;B_{12}$ and other physical, chemical and biological environmental factors were investigated. $Vitamin\;B_{12}$ was assayed with Euglena gracilis Z strain. The results obtained in this investigation were as follows : 1. Generally, the values of COD and $Cl^-$ were higher than values reported in 1981. 2. The concentration of nutrient salts in the lake water was found to be at a higher level: above the general criterion in a eutrophic lake viz., phosphorous 0.175-0.225 mg/l. 3. Chlorophyll a contents in this lake were $1.1-8.7{\mu}g/l$, 4. The concentration of $vitamin\;B_{12}$ in the water fairly high: 1.25-6.0 ng. It is apparent that concentrations of the $vitamin\;B_{12}$ as well as nutrient salts were high in the water of Okjeong lake. It was found that Okjeong lake was in eutrophic.

• Journal of The Korean Association of Information Education
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• v.24 no.6
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• pp.633-641
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• 2020

The development of intelligent information technology based on intelligence and data and network technology implemented by artificial intelligence has instigated innovation in society as a whole and has shown wide social and economic impact. Therefore, not only overseas but also in Korea, AI education is in a hurry to cultivate talents who will lead the upcoming society. Data is an important part of artificial intelligence, and data literacy, which can collect, process, and analyze data, to make data-based decisions, can be seen as an important competency to be developed along with AI literacy. Therefore, in this study, an AI data science education program that can increase data literacy of elementary school students was developed and applied to the experimental group, and its effectiveness was verified through a pre- and post response sample t-test. As a result, all of the four detailed competencies of data literacy, data understanding, collection, analysis, and expression, showed statistically significant improvement, indicating that the AI data science education program was effective in improving students' data literacy.

• Journal of The Korean Association of Information Education
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• v.26 no.1
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• pp.11-22
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• 2022

The educational environment, where the change to blended learning and AI convergence education through non-face-to-face is accelerating, is based on the cultivation of digital literacy. This study attempted to verify the effectiveness of future competencies by creating a collaborative SW education program on the metaverse platform that emerged by supplementing the problems through non-face-to-face. Twenty programs on how to design and create software were organized for small-scale elementary classes in the metaverse. In order to verify the effectiveness 4C competency tool presented as future educational competency was selected, and homogeneity test for the experimental group and t-test were conducted. The results showed the SW education programs based on metaverse was effective in improving collaborative communication skills, confirming the possibility of SW education through blended learning.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.185-187
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• 2022

Because of the rapid change in the educational paradigm in the Fourth Industrial Revolution Era, Artificial Intelligence (AI) Education is becoming increasingly important today. The 2022 Revised Curriculum focuses on AI Education that can cultivate the fundamental skills and competencies needed in the future society. The following are the directions presented in this study for improving computational thinking and mathematical thinking in AI Education in elementary and secondary schools. First, studying teaching principles that allow students to understand AI concepts and principles and develop their ability to solve real-life problems is necessary in terms of computational thinking skills education. Second, an educational program is required for students to acquire algorithms using formulas and learn principles in the process of computers thinking like humans as part of their mathematical thinking ability to understand AI. A study on expectations through the analysis of competent learning effects that may arise from the relationship between instructors and learners was proposed as a future research project.

• The Journal of Engineering Geology
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• v.16 no.2 s.48
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• pp.125-134
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• 2006

In order to establish the in-situ application of the artificial storage and recovery (ASR) technology which is used the property of the aquifer storage of groundwater. We carried out to the in-situ experiments such as borehole TV logging, pumping test and artificial hydraulic fracturing in volcanic island, Ulleungdo. In-situ experiments were conducted to divide the before- and after-hydraulic fracturing. Pumping test was achieved to confirm the two fracture zones, GL-13m and GL-21m, which are determined by the borehole TV logging. From the results of the before- and after-pumping tests, the hydraulic connectivity was confirmed to locate at GL-13m in the residual deposit zone of pumice media as alluvium. However, in the bedrock tone at GL-21m the hydraulic connectivity could be considered to faulty. Consequently, in this study area the artificial recharge has a little unsatisfied to geo-structural condition and desired to more detail investigation works.

• Journal of Korean Society of Water and Wastewater
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• v.22 no.3
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• pp.315-322
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• 2008

Recently there has been a great deal of interest in promotion of the utilization of rainwater. In this paper, we compared qualities of the rainwater collected from the top of vinyl houses to those of precipitated rainwater itself in Jeju Island. The pH of the collected rainwater was acidic and lower than the precipitated one. As a storm progresses, the pH of the collected water gradually increases. Ranges of EC of the precipitated and collected rainwater were 1-118 and $1-475{\mu}S/cm$. Most of Cl and turbidity values of the collected rainwater were less than 20 mg/L and 20 NTU, while those of the precipitated rainwater were less than 10 mg/L and 5 NTU. Differences in qualities between precipitated and collected rainwater indicate that qualities of the collected rainwater should be changed by the first flush effects, and imply that long term continuous monitoring for the qualities of collected rainwater is essential to quantify the first flush phenomenon more accurately.

• Journal of Korea Water Resources Association
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• v.53 no.10
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• pp.861-870
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• 2020

As the flow velocity and Reynolds number increase in rockfill porous media, the flow deviates from Darcy conditions. In this study, the permeability tests of rock column specimen and laboratory gabion weir model were carried out to investigate a head loss behaviour of flow through rockfill deposition in small river artificial recharge. Through column test, the nonlinear relationships between flow velocity and hydraulic gradient and coefficients were determined and the correlation formula of hydraulic mean radius and coefficients was proposed. The flow velocities and discharges in voids estimated by proposed equations were well matched with the measured values of laboratory gabion weir model.