• Journal of The Korean Association For Science Education
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• v.42 no.1
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• pp.111-125
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• 2022

This study aims to investigate the effects of the ENACT project on promoting pre-service science teachers (PSTs)' views on the social responsibility of scientists and engineers. The ENACT project was designed to cultivate the social responsibility by integrating the theoretical framework of socioscientific issues (SSIs) education with problem-based inquiry approaches for the resolution of the issues. Thirty-two PSTs voluntarily participated in the project and completed the five stages over three months. Data was collected through a questionnaire to measure PSTs' view of the social responsibility of scientists and engineers (VSRoSE) and focus-group interviews. Results indicate that the PSTs presented statistically significant changes in their views of the social responsibility after the ENACT project. The mean scores of the five sub-dimensions of VSRoSE significantly increased. The interviews also supported that the PSTs had opportunities to seriously consider the social responsibility of scientists and engineers through epistemological exploration of science and technology (Cycle I), and problem-solving and action-taking (Cycle II). In particular, they agreed more on such responsibilities as consideration of societal needs and demands, pursuit of the common good, civic engagement and services using their expertise, communications with the public regarding potential risks, and participation in policy decision-making related to science and technology advances. Educational implications for SSI education and teacher education were suggested.

• The Journal of Korean Association of Computer Education
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• v.16 no.6
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• pp.11-19
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• 2013

Recently, the discussion of domain-generality vs. domain-specificity of creativity has been continued. At this point in time, we need to research computer programming activities related to creativity again. While most of existing relative researches have performed TTCT figural tests for evaluating learners' creativity of learning education programming language, our perspective is that verbal creativity is needed on learning education programming language more. In this research, we have developed scratch programming learning based on CPS with the contents using fundamental concepts of computer science from the viewpoint of that programming is a kind of learning required verbal thinking style. This learning program was applied to 17 students of 4th and 5th grade for each 4 classes in 5 days, total 20 classes, this group passed normality test has the result of t-test has found that three subscales (fluency, flexibility and originality) and creativity index (mean of three standard scores) of verbal creativity were improved significantly using the mean of standard scores (100) of TTCT verbal tests as the test value.

• Journal of Gifted/Talented Education
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• v.22 no.2
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• pp.387-410
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• 2012

The purpose of this paper was to investigate science gifted educational methods based on creativity and character by Delphi study. As a result by a total 3 round Delphi method, the concept of creativity and character education for science gifted students was to promote character development through the effectively interactive communications in the process of creative problem finding and solving. Thus this elicited the consensual agreements of experts about science gifted educational aims, methods, contents, and evaluations etc. As a follow-up research will be developed science gifted educational model based on creativity and character.

• Journal of the Korean earth science society
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• v.26 no.1
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• pp.9-29
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• 2005

By analyzing and integrating established geological field study instances, this study offered a new geological field excursion teaching model with several steps: unifying question raising. excursion generalization. intensive field direction, searching, primary conclusion, re-searching, group discussion. adjustment, and excursion summarizing. Then by Qualitatively assaying the responses which students showed after applying this teaching model, a concrete teaching plan was sought for earth science teachers who were planning to begin geological field excursion classes. Students evaluated very highly on the unifying question and excursion generalization because these items provided a sense of direction and an overall theme for geological excursion in advance. Also. since the students had little to none geological knowledge and field excursion experience, the intensive field direction gave them a lot of help with their field excursion activities. Students thought that coming up with a primary conclusion based on the summary of what they had observed in their activities was original. and highly valued the process of sharing different opinions in group discussions and drawing out a final conclusion. Teachers should help students develop a friendly atmosphere, by organizing group activities and continuously feedlng them with uniting questions and excursion generalization within the groups. Also they should prepare enough contents for intensive field direction and ways to get their points across. In the process, they should arrange beforehand detailed instructions for every outcome, with the intention of solving the question. Furthermore. teachers should follow carefully how conclusions are drawn. instruct students not to reach conclusions based on mere assumptions, and be aware of misconceptions students have toward geological phenomenon in advance, so that the discussion can be lead in the right direction.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.85-93
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• 2016

Convergent education is essential to develop consilient thinking skills, ability to recreate information and knowledge, and problem-solving skills which are demanded in society of convergent knowledge. Accordingly, this study is going to develop a convergent class model of augmented reality and art based on consilient knowledge. Teaching model is designed based on the ADDIE model, which was operated by opening a real class in order to verify the validity. The result showed a high satisfaction of learners showed the ability to adapt to the major areas associated with the cultivation of learners. Characteristics of augmented reality medium were found to enable learners to analyze a new phenomenon and to fuse the necessary knowledge by inducing them to actively interact by the their intention in learning. Therefore, it is possible to cultivate creative and convergent persons of ability equipped with more flexible and creative thinking ability and discernment through deepened education for recognizing and understanding convergent cases between art and scientific technology. There is a study on the validation and the convergence of different subjects in terms of a variety of aspects, left behind of this study.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.394-394
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• 2015

급격히 변화하고 있는 산업화와 도시화로 지구 온난화 현상으로 기상이변의 발생빈도가 높아졌고 기후가 불안정하여 예전보다 많은 집중호우가 발생하면서, 홍수로 인한 제내지 침수가 발생되기도 한다. 기후변화로 인한 수재해에 대응하기 위하여 하천 호소 수리 예측 모형의 개선이 필요한 실정이다. 하지만, 자연하천 유역의 강우-유출 상관관계와 지표면 유출현상 및 하도 수리 특성을 자연현상의 복잡성, 강우발생의 시간적 공간적인 발생과정의 임의성, 정확한 해석방법 및 확률 분석에 따르는 불확실성 들을 토대로 단순한 이론과 제한적인 경험공식 등에 의해서 해석, 재현 및 평가를 한다는 것은 매우 어려운 문제이다. 최근 IT 기술의 발전과 더불어, 많은 연구자, 엔지니어들이 기존 수리 수문학적 지식과 IT기술을 융합하여 복잡 다단한 수자원 환경 문제를 해결하고자 한다. 이와 같은 최근 연구 동향에 의거하여, 본 연구에서는 HEC-RAS, TELEMAC-2D 1, 2차원 수리 모형을 연계하여 하천 흐름 분석 및 홍수 범람 해석에 적용하였다. 본 연구에서는 HEC-RAS, TELEMAC 모형을 적용하여 2012년 태풍 '산바(SANBA)'로 인해 홍수 피해를 입은 고령군에 위치한 낙동강 본류 회천 유역(상류 회천교 ~ 하류 도진교)의 하도 내 흐름 분석과 하천 인근 제내지 홍수범람을 예측하였다. 범람해석에 필요한 지형자료를 기초로 하여 각 지형의 조건에 맞게 수치자료를 이용하여 작성하였고, 수자원 정보를 이용하여 유랑, 수위 등 시계열자료를 지류 및 상 하류의 경계조건으로 설정하고, 조도계수 등 하천 기본정보들을 입력하였다. HEC-RAS 모형은 회천교부터 도진교까지 전구간에 대한 종단면과 횡단면별 홍수침수범위 및 홍수위 크기 등 거시적인 1차원 수리해석에 적용하였고, TELEMAC 모형은 HEC-RAS 시뮬레이션 결과를 바탕으로 HEC-RAS에서 나타내기 힘든 2차원 흐름특성, 침수현상 등 일부 범람 구간에 대해 수리해석에 적용하였다. HEC-RAS 시스템은 수공구조물들의 영향과 하천의 영향을 종 횡단면으로 다양한 홍수침수 범위를 1차원으로 나타 낼 수 있으며, TELEMAC 시스템 수리 모의를 통해 얻어진 결과는 유속, 유량, 수심, 하상고 높이 등 2차원으로 나타낼 수 있다. TELEMAC 시스템을 활용한 2차원 분석은 실측자료와 비교적 유사하고 시각, 공간적으로 이해하기 쉽게 표현되므로, 모형 적용성이 우수한 것으로 판단된다. 향후 유역 해석을 위한 수치데이터, 수위, 유량자료를 확보하여 HEC-RAS, TELEMAC 1, 2차원 연계 모형을 적용 한다면, 하천 준설, 하천 구조물 설치, 홍수피해 등 전반적인 하천관리 계획에 활용할 수 있을 것이라 판단된다.

• Journal of Gifted/Talented Education
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• v.24 no.3
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• pp.421-444
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• 2014

In STEAM education, contents that has been extracted from a variety of areas, so it can work closely and systematically. Therefore STEAM education requires systems thinking that can be grasped effectively these different disciplines. The purposes of this study are to develop a STEAM program based on systems thinking, and apply the program to the secondary science gifted student in order to investigate the educational effect. A model of the Program developed from previous research and theoretical contents of systems thinking and STEAM. A draft of the STEAM program was developed on the theme of "rocket". A total of 113 students was participated in this study. 100 seventh and 13 eighth graders were enrolled at seigy. A single group pre-post test paired t-test was conducted on them in systems thinking skills. Result of applying the program to the students as follows. The systems thinking ability was improved after the application of the program. 'Mental Model', 'Personal Skill', 'Team Learning', and 'System Analysis', 'Shared Vision' emerged for both improved significantly. In conclusion, the STEAM program based on system thinking improves students' systems thinking skills. This program of results can be helpful in cultivate human resources with the problem solving ability based on system thinking and STEAM literacy by used in public education curriculum.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.283-284
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• 2019

규칙 기반의 챗봇(Chatbot)은 개발자가 미리 지정한 키워드와 패턴을 통해 사용자의 의도(Intent)를 파악하기 때문에, 챗봇을 응용한 어플리케이션에서는 제한적인 활용도를 보인다. 본 논문에서는 위 문제를 해결하기 위해, 프레임워크 기반의 한글 자연어 처리 챗봇 성능 향상을 위한 점진 학습(Incremental Learning)을 제안한다. DialogFlow는 규칙 기반의 챗봇 프레임워크로서, 사용자 질의 패턴에 대한 사전 학습이 치명적이다. 제안하는 점진 학습 기법은 사용자 질의가 미리 학습되어 있지 않은 경우에도, 유사도 기반으로 질의의 의도를 결정할 수 있다. 이때 entity 조합과 기존에 학습된 질의들과의 유사도를 통해 의도를 결정하여, 프레임워크를 점진적으로 학습한다. 이를 적용하여 연세대학교 정보들을 제공하는 챗봇을 개발하고, 실험을 통해 제안된 점진 학습 기법은 기존 시스템보다 다양한 종류의 질의 처리가 가능하고, 더욱 빠른 응답 속도를 나타내는 것을 확인하였다. 또한 사용자가 증가함에 따라 점진 학습을 통해 성능이 더욱 증가하는 자가 학습 모형으로서의 우수함을 확인하였다.

• Korean Journal of Cognitive Science
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• v.15 no.2
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• pp.1-15
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• 2004

The structure of sensibility from motion was developed for the purpose of understanding relationship between sensibilities and physical factors to apply it to dynamic visual display. Seventy adjectives were collected by assessing adequacy to express sensibilities from motion and reporting sensibilities recalled from dynamic displays with achromatic color. Various motion displays with a moving single dot were rated according to the degree of sensibility corresponding to each adjective, on the basis of the Semantic Differential (SD) method. The results of assessment were analyzed by means of the factor analysis to reduce 70 words into 19 fundamental sensibilities from motion. The Multidimensional Scaling (MDS) technique constructed the sensibility space in motion, in which 19 sensibilities were scattered with two dimensions, active-passive and bright-dark Motion types systemically varied in kinematic factors were placed on the two-dimensional space of motion sensibility, in order to analyze important variables affecting sensibility from motion. Patterns of placement indicate that speed and both of cycle and amplitude in trajectories tend to partially determine sensibility. Although color and motion affected sensibility according to the in dimensions, it seemed that combination of motion and color made each have dominant effect individually in a certain sensibility dimension, motion to active-passive and color to bright-dark.

• Korean Journal of Cognitive Science
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• v.17 no.1
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• pp.53-74
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• 2006

Similarity has been considered as one of basic concepts of cognitive psychology which is useful for explaining cognitive structure and process. MDS models(Shepard, 1964; Nosofsky, 1991) and Contrast model(Tversky, 1977) were proposed as early models of similarity comparison process. But, there have been a lot of theoretical doubts about the conceptual validity of similarity as a result of empirical findings which could not be explained by early models. Goldstone(1994) assumed that similarity could be defined by alignment processes, and suggested structural alignment as a prospective alternative for solving conceptual controversies so far. In this study, basic assumption and algorithms of MDS models(Shepard, 1944; Nosofsky, 1991) and Contrast model(Tversky, 1977) were described shortly and some theoretical limitations such as arbitrariness of selective attention and correlated structures were discussed as well. The conceptual characteristics and algorithms of SIAM(Goldstone, 1994) were described and how it has been applied to cognitive psychology areas such as categorization, conceptual combination, and analogical reasoning were reviewed. Finally, some theoretical limitations related with data-driven processing and alternative processing and possible directions for structural alignment were discussed.