• 한국초등수학교육학회지
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• 제17권1호
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• pp.67-86
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• 2013

본 연구는 수학영재학생들의 뇌선호유형에 따라 그들이 문제를 해결하는 과정에서 Schoenfeld의 문제해결 행동요인 4가지가 어떻게 활용되고 있는지를 분석하고 이를 통해 수학영재 수업 시 고려해야 될 뇌기능 분화와 관련된 교육적 시사점을 찾아보고자 하는 것이다. 연구 대상자는 BPI검사를 통해 좌, 우뇌별 선호도가 높은 6학년 영재학급 학생 4명이다. 분석 결과 좌뇌선호형 학생들의 경우 객관적이고 논리적인 판단을 좋아하는 좌뇌의 특성이, 우뇌선호형 학생들의 경우 주관적이고 직관적인 판단을 좋아하는 우뇌의 특성이 많이 관찰되었다. 또한 문제해결과정에 나타나는 Schoenfeld의 문제해결 행동요인도 뇌선호유형의 특성에 맞게 서로 다른 것들이 주로 선택되는 것을 확인하였다. 따라서 좌뇌선호형 학생들과 우뇌선호형 학생들이 각각 선택한 문제해결 행동요인을 분석하고 그들에게 상호 보완될 수 있는 문제해결 행동요인을 안내 및 제안해 줌으로써 뇌선호유형별 학생들의 문제해결지도에 활용할 수 있을 것이다.

• 한국환경교육학회지:환경교육
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• 제14권2호
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• pp.28-39
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• 2001

The purpose of this study is to understand the characteristics and the differences regarding the teaching & learning objectives of Environment textbooks for middle school students with the consideration of the 7th Korean National Curriculum. For this the teaching & teaming objectives of three Environment textbooks currently used categorized according to the domain frame of environmental education in the Report of UNESCO(1980). three Environment textbooks and their teacher's guide books are those printed by three companies(A, B, and C) and Joongahng co.. The five objective categories recommended by UNESCO are awareness, knowledge, attitude, skills and participation and six types of skills by National Curriculum Council of England are communication skills, numeracy skills, study skills, problem-solving skills, personal and social skills and information technology skills. It is showed that'Human and Environment'domain is emphasized roughly in the awareness and the knowledge section without any statement of the participation section, 'Environmental Problems and its Counter-plan'domain in the knowledge and the skills section, 'Environmental Conservation'domain in the skills and the participation section of objectives. It is revealed that the skills section of the teaching 8t learning objectives is mainly involved in 'Environmental Problems and its Counter-plan'domain and'Environmental Conservation' domain. According to the result of the analysis of the connectivity between the Environment Curriculum of the 7th Korean National Curriculum and the Environment textbooks regarding objectives stated in the sub-domain level, it says those are generally appropriate ones. But some objectives are emphasized weakly or not at all in several sub-domains such as'The living environment to keep','The environmental problems of the earth','Making environment pleasant'. It is proposed that the efforts to state objectives in the Environment textbooks evenly are needed to be paid (or the well-balanced teaching & teaming of the Environment subject.

• 의학교육논단
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• 제16권3호
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• pp.111-118
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• 2014

Over the last century, medical education in North America has evolved by identifying educational challenges within its own socio-cultural context and by appropriately responding to these challenges. A discipline-based curriculum, organ-system or integrated curriculum, problem-based curriculum, and competency-based curriculum are historical examples of the educational solutions that have been developed and refined to address specific educational challenges, such as students' lack of basic scientific knowledge, lack of integration between scientific knowledge and clinical practice, and lack of clinical practice. In contrast, Korean medical education has evolved with the influence of two forces: (1) the adoption of educational solutions developed in North America by pioneers who have identified urgent needs for medical education reform in Korea over the last three decades, and (2) the revitalization of Korean medical schools' curricula through medical education accreditation and national medical licensing examination. Despite this progressive evolution in Korean medical education, we contend that it faces two major challenges in order to advance to the next level. First, Korean medical education should identify its own problems in medical education and iteratively develop educational solutions within its own socio-cultural context. Secondly, to raise reflective doctors who have scientific knowledge and professional commitment to deal with different types of medical problems within a continuum from well-defined to ill-defined, medical education should develop innovative ways to provide students with a balanced spectrum of clinical problems, including uncertain, ill-defined problems.

• 치위생과학회지
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• 제24권1호
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• pp.62-70
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• 2024

Background: This study aimed to evaluate ChatGPT's performance accuracy in responding to questions from the national dental hygienist examination. Moreover, through an analysis of ChatGPT's incorrect responses, this research intended to pinpoint the predominant types of errors. Methods: To evaluate ChatGPT-3.5's performance according to the type of national examination questions, the researchers classified 200 questions of the 49th National Dental Hygienist Examination into recall, interpretation, and solving type questions. The researchers strategically modified the questions to counteract potential misunderstandings from implied meanings or technical terminology in Korea. To assess ChatGPT-3.5's problem-solving capabilities in applying previously acquired knowledge, the questions were first converted to subjective type. If ChatGPT-3.5 generated an incorrect response, an original multiple-choice framework was provided again. Two hundred questions were input into ChatGPT-3.5 and the generated responses were analyzed. After using ChatGPT, the accuracy of each response was evaluated by researchers according to the types of questions, and the types of incorrect responses were categorized (logical, information, and statistical errors). Finally, hallucination was evaluated when ChatGPT provided misleading information by answering something that was not true as if it were true. Results: ChatGPT's responses to the national examination were 45.5% accurate. Accuracy by question type was 60.3% for recall and 13.0% for problem-solving type questions. The accuracy rate for the subjective solving questions was 13.0%, while the accuracy for the objective questions increased to 43.5%. The most common types of incorrect responses were logical errors 65.1% of all. Of the total 102 incorrectly answered questions, 100 were categorized as hallucinations. Conclusion: ChatGPT-3.5 was found to be limited in its ability to provide evidence-based correct responses to the Korean national dental hygiene examination. Therefore, dental hygienists in the education or clinical fields should be careful to use artificial intelligence-generated materials with a critical view.

• 한국의상디자인학회지
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• 제9권1호
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• pp.221-234
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• 2007

The purposes of this study were to identify the effect of clothing involvement and shopping orientations on the usage of information sources and to investigate the differences of clothing involvement, shopping orientation and clothing purchasing behavior according to the types of information source usage. The study subjects comprised 302 females living in Seoul. The datas were analyzed with factor analysis, regression, ANOVA, discriminant analysis, and $x^2$-test. The results generated from this study are as follows: First, clothing involvement and shopping orientation factors influenced the usage of information source. Among the clothing involvement factors, fashion/clothing involvement was the most important factor to the types of information source. Second, according to usage of information sources, female consumers were classified into four groups, such as active, nonpersonal, personal, and non-active information source usage group. Fashion/clothing involvement was the most significant involvement factor to divide four groups. Third, among the demographic variables, only age was the useful factor which can differ the usage of information source. For example, 30s' were more active than other groups, on the other hand 50s' use personal information source more than other groups. Therefore, marketer should blow consumer's clothing involvement and shopping orientation which are effective to the usage of information source, and use this knowledge on the advertising and marketing plan.

• 한국정밀공학회지
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• 제20권8호
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• pp.115-125
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• 2003

To analyze the applications of all types of mechanical systems, general purpose analysis programs have been developed and commercialized. However, it is customary to develop and use customized programs even though they sometimes require more work than a general purpose program. A customized program is simplified to adapt to a particular application from the beginning, is designed for small computers, and developed with hardware-in-the-loop in mind so it can be applied effectively. By adding design knowledge and bundling know-how to an analysis program, analysis time can be reduced. And because an analysis has to work in conjunction with other analysis programs, a proprietary program that the user can easily modify can be useful. In this thesis, a multi-body dynamics analysis system is presented using one of the most useful programming techniques, object-oriented concept. The object-oriented concept defines a problem from the physical world as an abstract object, an abstract model. The object becomes encapsulated with the data and method. Simulation is performed using the object's interface. It is then possible for the user and the developer to modify and upgrade the program without having particular knowledge of the analysis program. The method presented in this thesis has the following advantages. Since the mechanical components of the multi-body system converts independent modeling into a class, the modification, exchange, distribution, and reuse of elements are increased. It becomes easier to employ a new analysis method and interface with other S/W and H/W systems. To employ a new analysis method, there is no need to modify elements of the main solver and the Library. In addition, information can be communicated to each object through messaging. It makes the modeling of new elements easier using inheritance. When developing a S/W for the computer simulation of physical system, it is reasonable to use object-oriented modeling. Also, for multi-body dynamics analysis, it is possible to develop a solver that is user-oriented.

• 한국학교수학회논문집
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• 제13권1호
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• pp.23-43
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• 2010

함수영역은 초등학교 과정에서는 규칙성과 문제해결을 중심으로, 중고등학교 과정에서는 함수라는 함축적 용어를 사용하고 있다. 함수개념은 그래프와 관련된 표현이나 해석을 필요로 하는 등 한마디로 규정하기 힘든 통합개념이고 이를 지도하는 방법 또한 많은 변수들을 포함하고 있다. 많은 연구들이 중학교 또는 고등학교 과정의 일부분을 중심으로 진행되어 중 고등학교 과정의 연계성을 강조한 연구가 부족한 실정에서 본 연구는 중학교 과정의 함수개념을 이미 학습한 고등학생들을 대상으로 함수단원에 대해 어느 정도 이해하고 있으며 그들이 문제해결과정에서 자주 범하게 되는 오류유형을 분석하고 이것을 바탕으로 함수학습 지도에 활용함으로써 학생들의 오류가 어떻게 교정되는지를 살펴보았다. 그 결과 고등학교 과정에서 함수 개념의 정의 방식이 바뀌어 큰 어려움을 겪고 있으며, 주된 오류유형은 함수 개념과 관련된 기본적인 내용에 대해 이해가 부족하며 개념이해를 바탕으로 하지 않고 암기에 의존하여 문제해결을 시도하거나 문제해결과정에서 틀에 박힌 문제유형에 너무나 익숙해져 있어서 새로운 유형의 문제를 접했을 때로 기존의 익숙한 방식으로 해석하여 풀이하거나 부적절한 추론을 하는 경우, 그리고 계산상의 오류 및 기호를 처리하는데 오는 기술적인 오류를 흔히 범하는 것으로 나타났다.

• 정보교육학회논문지
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• 제12권3호
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• pp.355-363
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• 2008

문제기반학습(Problem-based Learning)의 효과성 제고를 위해서는 학습지원 전략으로서 스캐폴더의 역할이 요청된다. 집단지성(collective intelligence)은 사용자들의 지식, 정보, 경험, 가치 등을 종합하고 이를 바탕으로 자신의 행동에 대한 방향을 결정하고 지속적으로 수정하며 문제 해결방법을 제공받는다는 측면에서 스캐폴딩을 제공한다. 교수학습 상황에서 학습자의 주도적, 자발적, 적극적 참여를 강조하고 있는데, 과연 집단지성이 효과적이고 매력적인 학습전략의 대안이 되는지 판단하고자 본 연구가 수행되었다. 보다 구체적으로 본 연구는 웹에서 집단지성이 스캐폴더의 역할을 어떻게 수행하고 있는지, 또한 학습자에게 어떤 유형의 스캐폴딩을 제공하는지 밝히고자 수행되었다. 연구 결과 집단지성은 정의적 측면에서는 학습자에게 학습태도, 자신감, 흥미 등 긍정적인 영향을 미쳤지만 인지적 측면에서는 학습자의 학년, 학습수준에 따라 상이한 영향을 미치는 것을 확인할 수 있었다. 집단지성이 학습자에게 긍정적인 영향을 미치는 경우 인지적 측면에서 설명, 방향제시, 예시, 피드백 등과 같은 스캐폴딩 유형을 확인할 수 있었고, 정의적 측면에서 긍정적 반응, 격려 등과 같은 스캐폴딩 유형이 나타났다.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2000년도 춘계학술대회논문집 - 한국공작기계학회
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• pp.411-416
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• 2000

Cutting process has been automated by progress of CNC and CAD/CAM, but polishing process has been depended on only experiential knowledge of expert. To automate the polishing process, a polishing robot with w degrees of freedom which is attached to a machining center with 3 degrees of freedom has been developed. This automatic polishing robot is able to keep the polishing tool normal on the curved surface of die to improve a performance of polishing. Polishing task for a curved surface die demands repetitive operation and high precision, but conventional control algorithm can not cope with the problem of disturbance such as a change of load. In this research, a new sliding mode control algorithm is applied to the robot. The signal compression method is used to identify polishing robot system. to obtain an effect of 5 degrees of freedom motion, a synchronization between the machining center and polishing robot is accomplished by using M code of machining center. And also a trajectory for polishing the curved surface die by 5 degrees of freedom motion, a synchronization between the machining center and polishing robot is accomplished by using M code of machining center. And also a trajectory for polishing the curved surface die by 5 axes machining center is divided into data of two types for 3 axes machining center and 2 axes polishing robot. To evaluate polishing performance of the robot. various experiments are carried out.

• Journal of Computing Science and Engineering
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• 제10권2호
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• pp.39-50
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• 2016

In this paper, we present a comparative study of spatial domain features for writer identification and verification with different ink width conditions. The existing methods give high error rates, when comparing two handwritten images with different pen types. To the best of our knowledge, we are the first to design the feature with different ink width conditions. To address this problem, contour based features were extracted using a chain code method. To improve accuracy at higher levels, we considered histograms of chain code and variance in bins of histogram of chain code as features to discriminate handwriting samples. The system was trained and tested for 1,000 writers with two samples using different writing instruments. The feature performance is tested on our newly created dataset of 4,000 samples. The experimental results show that the histogram of chain code feature is good compared to other methods with false acceptance rate of 11.67%, false rejection rate of 36.70%, average error rates of 24.18%, and average verification accuracy of 75.89% on our new dataset. We also studied the effect of amount of text and dataset size on verification accuracy.