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Comprehensive Review of Research Publications on Gifted Education in Korea : 2003-2012 (한국 영재교육 연구의 현황 및 성과: 2003-2012)

  • Lee, Sang Hee;Choi, Sun Ill
    • Journal of Gifted/Talented Education
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    • v.25 no.6
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    • pp.881-904
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    • 2015
  • The purpose of this paper is to explore the future direction of research on gifted education through a literature review of dissertations and research reports, as well as an analysis of the trends and milestones achieved related to gifted education. The period from 2003 to 2012, from which the data for this literature review was collected, marks the ten-year period proposed by the Gifted Education Development Comprehensive Plan II and I. Data was collected through a search of the keyword "gifted" on Academic Naver and on Korea Education and Research Information Service (KERIS). Results showed 1,696 articles from 182 academic journals, 138 doctoral dissertations, 1,470 masters' dissertations, and 798 research reports from 75 institutions. For analysis, each article was classified by target of study, kind of giftedness, subject of study, and methods used for the study. Results from this literature review demonstrated that from 2003 to 2012, the articles from the 182 academic journals and the doctoral and masters' dissertations used quantitative research to analyze elementary and middle school students gifted in math and science as well as the curriculum and programs of their study. This paper provides recommendations for future research on gifted education within the country.

The Comparison of Perceptions of Science-related Career Between General and Science Gifted Middle School Students using Semantic Network Analysis (과학영재 중학생들과 일반 중학생들의 과학과 관련된 직업에 대한 인식 비교: 언어 네트워크 분석법 중심으로)

  • Shin, Sein;Lee, Jun-Ki;Ha, Minsu;Lee, Tae-Kyong;Jung, Young-Hee
    • Journal of Gifted/Talented Education
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    • v.25 no.5
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    • pp.673-696
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    • 2015
  • Students' perception of science-related career strongly influences the formation of career motivation in science. Especially, the high level of science gifted students' positive perceptions plays an important role in allowing them to continue to study science. This study compared perceptions of science-related career between general and gifted middle school students using semantic network analysis. To ensure this end, we first structuralize semantic networks of science-related careers that students perceived. Then, we identified the characters of networks that two different student groups showed based on the structure matrix indices of semantic network analysis. The findings illustrated that the number of science-related careers shown in science gifted students' answer is more than in general students' answer. In addition, the science gifted students perceived more diverse science-related careers than general students. Second, scientific career such as natural scientists and professors were shown in the core of science gifted students' perception network whereas non-research oriented careers such as science teachers and doctors were shown in the core of general students' perception network. In this study, we identified the science gifted students' perceptions of science-related career was significantly different from the general students'. The findings of current study can be used for the science teachers to advise science gifted students on science-related careers.

A Study on the Development and Effect of Korean Language Education Program Based on Multiple Intelligences (다중지능에 기초한 국어교육 프로그램 개발 및 효과검증)

  • Ku, Ji-Hye;Park, Seong-Ok
    • Journal of Gifted/Talented Education
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    • v.19 no.1
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    • pp.69-94
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    • 2009
  • The purpose of this study was to develop and apply a Korean language education program based on multiple intelligences in a bid to foster the multiple intelligences, self-efficacy and achievement motivation of elementary schoolers in regular language arts class. It's basically meant to create the educational conditions for every child to exert his or her abilities. Two research questions were posed: 1. What should be the objectives, content and teaching-learning methods of a Korean language education program based on multiple intelligences? 2. What effect does a Korean education program based on multiple intelligences have on children's multiple intelligences, self-efficacy and achievement motivation? The subjects in this study were 58 Students in two different third-grade classes in M elementary school in the city of Daejeon. A Korean language education program based on multiple intelligences was implemented during a 4month period of time, and an inclusive approach of multiple intelligences and cooperative learning were applied. The major findings of the study were as follows: First, in order to develop a Korean education program based on multiple intelligences, the kinds of themes that could cover multiple intelligences in an inclusive way were selected in consideration of the learning objectives of the major units of a third-grade language arts textbook(second semester) of the 7th national elementary language arts curriculum. And then an inclusive Korean education program was prepared, which consisted of four stages: problem awareness, problem-solving planning, problem solving, and reflection/application/development. Second, the Korean education program based on multiple intelligences had a positive effect on the children's multiple intelligences, self-efficacy and achievement motivation and suggested some of new directions for school education that typically stressed linguistic and logical-mathematical intelligences only.

Design and Validation of Education Contents of Algorithm for the Gifted Elementary Students of Computer Science (초등정보과학영재를 위한 알고리즘 교육내용의 설계 및 검증)

  • Lee, Jae-Ho;Oh, Hyeon-Jong
    • Journal of Gifted/Talented Education
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    • v.19 no.2
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    • pp.353-380
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    • 2009
  • The significant reason for studying computer science lies in the efficient resolution of various problems which can arise in actual life. Consequently, algorithm education is very important in the computer science and plays a great part in helping to enhance the creative ability to solve problems and to improve the programming ability. However, the current algorithm education at an computer science educational institute for the gifted has inadequate systematic quality and is only treated as a part of programming education. From this perspective, this paper carried out following studies in order to design the algorithm education for elementary computer science prodigies. First, the core educational contents was selected by extracting the common elements from existing books related to algorithm education, common study contents on algorithm lesson websites and the study area of ACM's computer algorithm. Second, using the development criteria and selected educational contents, the educational theme for the If weeks load was set. Additionally, the algorithm educational contents were designed for the elementary computer science prodigy based on such theme. Third, the activity site for the use of prodigy educational institute was developed with the background in the educational contents for the elementary computer science prodigy. Fourth, the Delphi analysis technique was used to verify the appropriateness of contents and activity site developed in this paper. It was carried out in 2 separate processes where the first process verified the design of educational contents, and the second process verified the appropriateness of developed activity site.

Kinetics Determination of Quality Changes for the Optimization of Food Dehydration (식품건조공정 최적화에의 적용을 위한 품질 변화 Kinetics 결정)

  • Lee, Dong-Sun;Pyun, Yu-Ryang
    • Korean Journal of Food Science and Technology
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    • v.20 no.2
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    • pp.272-279
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    • 1988
  • Kinetics of ascorbic acid destruction and browning were evaluated by the dynamic test using actual drying data in order to apply in the optimization of food dehydration. Radish was chosen as a test material because it has many typical quality characteristics during drying. Radish was dried in the cabinet dryer with being measured in moisture, food temperature, ascorbic acid and browning. Using moisture and temperature history, proposed kinetic model was integrated and parameters of the model were searched by the iteration scheme to show minimum discrepancy between predicted and experimental data. Ascorbic acid destruction and browning were represented by first and zero order reaction respectively. Arrhenius equation was used to describe temperature dependence. Several mathematical functions of moisture dependence were compared in the model simplicity and residual sum of square. Attained kinetic models were analyzed as functions of temperature and moisture. Rate of ascorbic acid destruction was low at high moisture content, increased with moisture decrease to show a maximum at the moisture of $9{\sim}12g/g$ dry solid, and then decreased up to full dryness. Browning rate increased with moisture decrease to show a sharp maximum at $4{\sim}6g/g$ dry solid and decreased with further moisture decrease.

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Convolutional Neural Networks for Rice Yield Estimation Using MODIS and Weather Data: A Case Study for South Korea (MODIS와 기상자료 기반 회선신경망 알고리즘을 이용한 남한 전역 쌀 생산량 추정)

  • Ma, Jong Won;Nguyen, Cong Hieu;Lee, Kyungdo;Heo, Joon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.34 no.5
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    • pp.525-534
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    • 2016
  • In South Korea, paddy rice has been consumed over the entire region and it is the main source of income for farmers, thus mathematical model for the estimation of rice yield is required for such decision-making processes in agriculture. The objectives of our study are to: (1) develop rice yield estimation model using Convolutional Neural Networks(CNN), (2) choose hyper-parameters for the model which show the best performance and (3) investigate whether CNN model can effectively predict the rice yield by the comparison with the model using Artificial Neural Networks(ANN). Weather and MODIS(The MOderate Resolution Imaging Spectroradiometer) products from April to September in year 2000~2013 were used for the rice yield estimation models and cross-validation was implemented for the accuracy assessment. The CNN and ANN models showed Root Mean Square Error(RMSE) of 36.10kg/10a, 48.61kg/10a based on rice points, respectively and 31.30kg/10a, 39.31kg/10a based on 'Si-Gun-Gu' districts, respectively. The CNN models outperformed ANN models and its possibility of application for the field of rice yield estimation in South Korea was proved.

Application of NMR on the Study of Natural and Synthetic Diamonds (NMR을 이용한 천연 및 합성 다이아몬드의 특성 분석 연구)

  • Kim, Jong-Rang;Shon, Shoo-Hack;Kim, Jong-Gun;Kim, Jeong-Jin;Jang, Yun-Deuk
    • Journal of the Mineralogical Society of Korea
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    • v.20 no.2 s.52
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    • pp.97-102
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    • 2007
  • NMR experiments with various pulse repetition delay time were carried out for the $^{15}N\;and\;^{13}C$ of a natural gem diamond and synthetic diamonds. The natural gem diamond had a weak $^{13}C$ peak at 34.1ppm when 30 second pulse repetition delay time was applied. Similar but more prominent $^{13}C$ peaks were observed at 34.2 ppm with 0.5 second pulse repetition delay time and at 34.7 ppm with 50 second pulse repetition delay time for the synthetic diamonds. Any meaningful $^{15}N$ peak was not observed for either natural or synthetic diamonds due to extremely low content of the $^{15}N$. Significant relationship was observed between relative spin-lattice relaxation times we estimated and the content of impurities. however, it was not possible to distinguish natural diamond from synthetic diamonds due to very similar characteristics of their $^{13}C$ NMR signals except relative spin-lattice relaxation times.

Simulation of the High Frequency Hyperthermia for Tumor Treatment (종양치료용 고주파 열치료 인체적용 시뮬레이션)

  • Lee, Kang-Yeon;Jung, Byung-Geun;Kim, Ji-won;Park, Jeong-Suk;Jeong, Byeong-Ho
    • Journal of the Korea Convergence Society
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    • v.9 no.3
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    • pp.257-263
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    • 2018
  • Hyperthermia supplies RF high-frequency energy above 1MHz to the tumor tissue through the electrodes. And the temperature of the tumor tissue is increased to $42^{\circ}C$ or more to cause thermal necrosis. A mathematical model can be derived a human body model for absorption and transmission of electromagnetic energy in the human model and It is possible to evaluate the distribution of temperature fields in biological tissues. In this paper, we build the human model based on the adult standard model of the geometric shape of the 3D model and use the FVM code. It is assumed that Joule heat is supplied to the anatomical model to simulate the magnetic field induced by the external electrode and the temperature distribution was analyzed for 0-1,200 seconds. As a result of the simulation, it was confirmed that the transferred energy progressively penetrates from the edge of the electrode to the pulmonary tumors and from the skin surface to the subcutaneous layer.

Modeling of the Charge-discharge Behavior of a 12-V Automotive Lead-acid Battery (차량용 12-V 납축전지의 충·방전 모델링)

  • Kim, Ui Seong;Jeon, Sehoon;Jeon, Wonjin;Shin, Chee Burm;Chung, Seung Myun;Kim, Sung Tae
    • Korean Chemical Engineering Research
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    • v.45 no.3
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    • pp.242-248
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    • 2007
  • For an optimal design of automotive electric system, it is important to have a reliable modeling tool to predict the charge-discharge behaviors of the automotive battery. In this work, a two-dimensional modeling was carried out to predict the charge-discharge behaviors of a 12-V automotive lead-acid battery. The model accounted for electrochemical kinetics and ionic mass transfer in a battery cell. In order to validate the modeling, modeling results were compared with the experimental data of the charge-discharge behaviors of a lead-acid battery. The discharge behaviors were measured with three different discharge rates of C/5, C/10, and C/20 at operating temperature of $25^{\circ}C$. The batteries were charged with constant current of 30A until the charging voltage reached to a predetermined value of 14.24 V and then the charging voltage was kept constant. The discharge and charge curves from the measurements and modeling were in good agreement. Based on the modeling, the distributions of the electrical potentials of the solid and solution phases, the porosity of the electrodes, and the current density within the electrodes as well as the acid concentration can be predicted as a function of charge and discharge time.

Security Analysis of Block Ciphers Designed with BOGI Strategy against Differential Attacks (BOGI 전략으로 설계된 블록 암호의 차분 공격에 대한 안전성 분석)

  • Lee, Sanghyeop;Kim, Seonggyeom;Hong, Deukjo;Sung, Jaechul;Hong, Seokhie
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.6
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    • pp.1259-1270
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    • 2019
  • The upper bound of differential characteristic probability is mainly used to determine the number of rounds when constructing a block cipher. As the number of rounds affects the performance of block cipher, it is critical to evaluate the tight upper bound in the constructing process. In order to calculate the upper bound of differential characteristic probability, the previous searching methods for minimum number of active S-boxes constructed constraint equations for non-linear operations and linear operations, independently. However, in the case of BOGI design strategy, where linear operation is dependent on non-linear operation, the previous methods may present the less tight upper bound. In this paper, we exploit the properties of BOGI strategy to propose a new method to evaluate a tighter upper bound of differential characteristic probability than previous ones. Additionally, we mathematically proved the validity of our method. Our proposed method was applied to GIFT-64 and GIFT-128, which are based on BOGI strategy, and the upper bounds of differential characteristic probability were derived until 9 round. Previously, the upper bounds of differential characteristic probability for 7-round GIFT-64 and 9-round GIFT-128 were 2-18.395 and 2-26.885, respectively, while we show that the upper bounds of differential characteristic probability are more tight as 2-19.81 and 2-28.3, respectively.