• 한국지구과학회지
• /
• 제28권6호
• /
• pp.707-719
• /
• 2007

교육활동에서 교사는 핵심적인 역할을 수행하고 있으며, 교육활동에 대한 교사들의 인식과 지향은 교육의 실천적인 맥락에서 핵심적인 요소로 작동한다. 따라서 과학교사의 지구계 수업에 대한 인식과 지향을 분석하는 것은, 지구계 교육의 목표가 현실에서 어떠한 모습으로 구현될지 가늠할 수 있게끔 한다. 이러한 생각을 바탕으로 이 연구에서는 두 명의 과학교사가 작성한 교수 학습계획안과 심층면담을 통하여 이들이 지구계 교육에 대한 인식을 알아보고, 교사의 지향을 수업에 대한 일반적 관점과 통합의 관점에서 분석하였다. 연구 결과 지구계 교육의 궁극적 겨냥점인 '전지구적 과학소양'에 대한 교사의 충분한 이해가 선행될 때 그 취지가 충분히 반영된 지구계 수업이 실천될 수 있는 것으로 나타났다. 또한 교사가 전 지구적 과학 소양을 함양하기 위해서는 네트워크 통합을 포함한 다양한 통합의 상(像)이 교사에게 구체적으로 제시될 것이 요구되었다. 아울러 현장에서 지구계 수업을 활성화하기 위해서는 지구계 교육 커리큘럼 구성에 대한 제도적인 뒷받침이 필요한 것으로 보인다.

• 벤처창업연구
• /
• 제12권2호
• /
• pp.1-11
• /
• 2017

글로벌시장의 등장에 발맞추어 청소년들의 미래 진로를 건실하게 준비시키는 것이 오늘날 교육의 하나의 중요한 과제가 되고 있다. 이러한 점에 비추어 본 연구는 한국의 고등학생들을 대상으로 역할 모델과 기업가정신 교육이 그들의 기업가정신 함양과 창업의도에 어떠한 영향을 미치는가를 고찰하기 위하여 설계되었다. 전국에 걸쳐 11개의 고등학교에서 총 217명의 고등학생들이 본 연구에 참여하였으며 이들 학생들은 지난 3년간 (사)한국벤처기업협회에서 제공한 기업가정신 함양 프로그램에 한 번 이상 참가한 경험을 가지고 있다. 가설검증결과 역할모델과 기업가정신 교육은 모두 청소년들의 기업가정신 함양과 창업의도에 유의한 정(+)의 영향을 미치고 있음을 알 수 있었다. 또한 역할모델과 기업가 정신 교육에 의해 형성된 청소년들의 기업가정신은 그들의 창업의도와도 유의한 정(+)의 관계에 있음을 발견하였다. 본 연구결과는 단순한 기업가정신 교육뿐만 아니라 역할 모델을 통한 교육프로그램이 진로준비단계에 있는 청소년들의 기업가적 인식과 태도에 의미 있는 영향을 미친다는 것을 밝혔다는 점에서 시사하는 바가 크다 할 수 있다. 결론 부분에 본 연구의 이론적 시사점과 실무적 시사점을 제시하였으며 청소년들을 위해 좀 더 효율적인 기업가정신 교육 프로그램을 설계하기 위한 몇 가지 제언을 함께 제시해 두었다.

• 한국과학교육학회지
• /
• 제32권6호
• /
• pp.1072-1086
• /
• 2012

Science, Technology, Engineering, and Mathematics (STEM) education in the U.S. has been identified as a significant national reform in K-16 education and curriculum in order to prepare students for the global economy of the 21st century. Korea has been facing very similar challenges to improve science, technology and mathematics education, in particular, the affective aspect of learning science and mathematics. Science, Technology, Engineering, Arts, and Mathematics (STEAM) education has become a crucial issue in Korean education system. The major purpose of this exploratory study is to inform the exemplary framework of STEAM education in the U.S. for Korea and to provide descriptive and analytical accounts on STEAM teaching and learning as an innovative integrated convergence education. This study integrates the outcomes of research papers on STEM education and recent literature. It employs content analysis methodology qualitatively by analyzing and synthesizing the findings, conclusions, discussions, and recommendations of accumulated research works related to STEM/STEAM education. This study will help gain a stronger sense of the STEAM framework and will guide to develop the educational programs for Korea.

• 한국수학교육학회지시리즈A:수학교육
• /
• 제49권3호
• /
• pp.287-298
• /
• 2010

The purpose of teacher education can be accepted in various meanings but it is not too much to say that the ultimate purpose is focused on training teachers to teach instruction in school effectively. The purpose of this article consists in giving some suggestive points to the primary teacher education of our country by introducing education system, teacher education programs, real cases of teacher education in new zealand to the readers. To do this, I took part in four classes and observed the ones, interviewed some students and collected the materials of products of activity during one year and also videotaped for analysis in the case of needed and so we have reached the following conclusions. First, we have found that the teacher education program, practicum, management of class and assessment system of new zealand college of education are quite different with our primary teacher education systems and also various courses are established. Second, the teacher education in new zealand is focused on how they compose the environment of learning related to the context of one. Third, we have to think seriously how we can teach our students interestingly in our classroom. Finally, the global trend of instruction in new zealand teacher education is oriented to learner and so I felt that daily class itself is the one to cultivate creativity of learner.

• 한국지구과학회지
• /
• 제39권4호
• /
• pp.327-341
• /
• 2018

Extreme temperatures and precipitations are expected to be more frequently occurring due to the ongoing global warming over the Korean Peninsula. However, few studies have analyzed the synoptic weather patterns associated with extreme events in a warming world. Here, the atmospheric patterns related to future extreme events are first analyzed using the HadGEM3-RA regional climate model. Simulations showed that the variability of temperature and precipitation will increase in the future (2051-2100) compared to the present (1981-2005), accompanying the more frequent occurrence of extreme events. Warm advection from East China and lower latitudes, a stagnant anticyclone, and local foehn wind are responsible for the extreme temperature (daily T>$38^{\circ}C$) episodes in Korea. The extreme precipitation cases (>$500mm\;day^{-1}$) were mainly caused by mid-latitude cyclones approaching the Korean Peninsula, along with the enhanced Changma front by supplying water vapor into the East China Sea. These future synoptic-scale features are similar to those of present extreme events. Therefore, our results suggest that, in order to accurately understand future extreme events, we should consider not only the effects of anthropogenic greenhouse gases or aerosol increases, but also small-scale topographic conditions and the internal variations of climate systems.

• 한국초등과학교육학회지:초등과학교육
• /
• 제34권4호
• /
• pp.434-446
• /
• 2015

The purpose of this study was to investigate elementary school students' conceptions about the knowledge source and the mechanism about the greenhouse effect, and the relationship between the greenhouse effect and the global warming. Participants were 157 sixth graders (boy : n=79, girl : n=78) from six elementary schools located in the same city. The open-ended questionnaire was used to examine the students' spontaneous ideas depicted by their drawings and/or writings. The results of this study are as follows: First, although there is no the content on the greenhouse effect in the elementary school curriculum document, the children in this study indicated that the main source of their knowledge about the greenhouse effect came from 'school class' (31.8%); Second, although the children did not take a class about the greenhouse effect itself, 14.0% of children had a relatively high level of the mental model on the phenomenon; Third, more than 90% of the children did not have the correct understanding about the relation between the greenhouse effect and the global warming.

• Journal of Preventive Medicine and Public Health
• /
• 제43권6호
• /
• pp.472-478
• /
• 2010

Cancer is a leading cause of death around the world. Education is at the core of cancer prevention activities, especially programs targeting empowering existing public health workforce. In the past 10 years, researchers at the University of Pittsburgh have been building the Global Health Network Supercourse project, a library of over 4500 online lectures and a network of nearly 50000 public health professionals in 174 countries. As of November 2010, the overall number of Supercourse participants from Asia exceeds 7000 participants. The Supercourse network has been investigating methods for Internet based recruitment of cancer prevention professionals in order to network cancer experts locally and globally, including the use of mHealth technologies for cancer research education and for NCD registries. Supercourse is a tool that can offer a solution to the challenges of information sharing, especially in the field of NCDs and cancer. In this paper, we highlight the need for the development of Cancer Supercourse with Satellite in Asia and encourage faculty members from Asia to join the network.

• 한국멀티미디어학회논문지
• /
• 제20권1호
• /
• pp.17-31
• /
• 2017

The aim of the paper is to present an object recognition method toward augmented reality system that utilizes existing education instruments that was designed without any consideration on image processing and recognition. The light reflection, sizes, shapes, and color range of the existing target education instruments are major hurdles to our object recognition. In addition, the real-time performance requirements on embedded devices and user experience constraints for children users are quite challenging issues to be solved for our image processing and object recognition approach. In order to meet these requirements we employed a method cascading light-weight weak classification methods that are complimentary each other to make a resultant complicated and highly accurate object classifier toward practically reasonable precision ratio. We implemented the proposed method and tested the performance by video with more than 11,700 frames of actual playing scenario. The experimental result showed 0.54% miss ratio and 1.35% false hit ratio.

• 한국지구과학회지
• /
• 제42권4호
• /
• pp.445-458
• /
• 2021

Gravity Recovery and Climate Experiment (GRACE) gravimeter satellites observed the Earth gravity field with unprecedented accuracy since 2002. After the termination of GRACE mission, GRACE Follow-on (GFO) satellites successively observe global gravity field, but there is missing period between GRACE and GFO about one year. Many previous studies estimated terrestrial water storage (TWS) changes using hydrological models, vertical displacements from global navigation satellite system observations, altimetry, and satellite laser ranging for a continuity of GRACE and GFO data. Recently, in order to predict TWS changes, various machine learning methods are developed such as artificial neural network and multi-linear regression. Previous studies used hydrological and climate data simultaneously as input data of the learning process. Further, they excluded linear trends in input data and GRACE/GFO data because the trend components obtained from GRACE/GFO data were assumed to be the same for other periods. However, hydrological models include high uncertainties, and observational period of GRACE/GFO is not long enough to estimate reliable TWS trends. In this study, we used convolutional neural networks (CNN) method incorporating only climate data set (temperature, evaporation, and precipitation) to predict TWS variations in the missing period of GRACE/GFO. We also make CNN model learn the linear trend of GRACE/GFO data. In most river basins considered in this study, our CNN model successfully predicts seasonal and long-term variations of TWS change.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권7호
• /
• pp.1-9
• /
• 2021

This paper investigates the impact of the domestic and global outbreak of the coronavirus (COVID-19) pandemic on the trading size of the Malaysian stock (MS) market. The theoretical model posits that stock markets are affected by their response to disasters and events that arise in the international or local environments, as well as to several financial factors such as stock volatility and spread bid-ask prices. Using daily time-series data from 27 January to 12 May 2020, this paper utilizes the traditional Augmented Dickey and Fuller (ADF) technique and Zivot and Andrews with structural break' procedures for a stationarity test analysis, while the autoregressive distributed lag (ARDL) method is applied according to the trading size of the MS market model. The analysis considered almost all 789 listed companies investing in the main stock market of Malaysia. The results confirmed our hypotheses that both the daily growth in the active domestic and global cases of coronavirus (COVID-19) has significant negative effects on the daily trading size of the stock market in Malaysia. Although the COVID-19 has a negative effect on the Malaysian stock market, the findings of this study suggest that the COVID-19 pandemic may have an asymmetric effect on the market.