• 대한치과교정학회지
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• 제52권2호
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• pp.150-160
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• 2022

Objective: To provide reliable prediction models based on dentoskeletal and soft tissue variables for customizing maxillary incisor positions and to optimize digitalized orthodontic treatment planning. Methods: This study included 244 Chinese women (age, 18-40 years old) with esthetic profiles after orthodontic treatment with fixed appliances (133 in group I: 1° ≤ The angle between the nasion [N]-A point [A] plane and the N-B point [B] plane [ANB] ≤ 4°; 111 in group II: 4° < ANB ≤ 7°). Dental, skeletal, and soft tissue measurements were performed on lateral cephalograms of the participants. Correlation and multiple linear regression analyses were used to determine the influence of dentoskeletal and soft tissue variables on maxillary incisor position. Results: The ideal anteroposterior position of the maxillary incisor varied between sagittal skeletal patterns. The position of the maxillary incisor correlated with the sagittal discrepancy between the maxilla and the mandible (ANB), protrusion of the midface, nasal tip projection, development of the chin, and inclination of both the maxillary and mandibular incisors. Distance from the maxillary central incisor to nasion-pogonion plane predicted using multiple linear regression analysis was accurate and could be a practical measurement in orthodontic treatment planning. Conclusions: Instead of using an average value or norm, orthodontists should customize a patient's ideal maxillary incisor position using dentoskeletal and soft tissue evaluations.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제13권1호
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• pp.1-16
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• 2024

지난 수년간 6시그마는 제조업의 주요 혁신 방법론으로, 품질개선과 경비 절감을 위해 사용되었다. 그러나 스마트공장 확산으로 인한 초 단위 데이터 생성 등, 방대한 양의 데이터를 분석하기 어려운 문제와,오랫동안 정착된 형식적 사용으로 인해, 6시그마의 한계가 지적되었다. 6시그마의 한계를 극복하기 위해, 최근에 빅데이터 기반 6시그마 기법이 연구되고 있다. 빅데이터 기반 6시그마는, 6시그마의 강점인 통계적 검증, 수학적 최적화, 높은 해석력과, 빅데이터 분석의 강점인 기계학습을 모두 활용할 수 있다. 그러나, 최근 연구된 빅데이터 기반 6시그마 기법이 제조공정 및 경영 성과에 미치는 영향에 대한 검증은 미비하다. 이러한 이유로 실무에서는, 빅데이터 기반 6시그마 기법에 대한 신뢰성이 높지 않아 제대로 활용하지 못하고 있다. 본 연구에서는, 빅데이터 기반 6시그마인 DX SS의 유효성 분석을 통해 제조공정의 효율성에 미치는 영향을 알아본다. 또한 기업에서 이 기법을 성공적으로 도입 및 정착시키기 위한 핵심 성공 정책을 도출한다. 추가적으로, 성공 정책에 대한 연구 없이 전 임직원의 참여가 수반되지 못한 잘못된 정책으로 방법론이 중단된 사례는, 핵심 성공 정책 연구에 대한 중요성을 보여준다. 제조기업들이 본 연구에서 제시하는 방법론을 적극 도입하고 사용하여 성공적인 성과를 거둘 수 있도록 본 연구가 도움이 되기를 기대한다.

• Coupled systems mechanics
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• 제13권3호
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• pp.201-217
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• 2024

This study aims to develop a new model to obtain the minimum area in circular isolated footings with eccentric column taking into account that the surface in contact with the ground works partially in compression, i.e., a part of the contact area of the footing is subject to compression and the other there is no pressure (pressure zero). The new model is formulated from a mathematical approach based on a minimum area, and it is developed by integration to obtain the axial load "P", moment around the X axis "M_x" and moment around the Y axis "M_y" in function of σ_max (available allowable soil pressure) R (radius of the circular footing), α (angle of inclination where the resultant moment appears), y₀ (distance from the center of the footing to the neutral axis measured on the axis where the resultant moment appears). The normal practice in structural engineering is to use the trial and error procedure to obtain the radius and area of the circular footing, and other engineers determine the radius and area of circular footing under biaxial bending supported on elastic soils, but considering a concentric column and the contact area with the ground works completely in compression. Three numerical problems are given to determine the lowest area for circular footings under biaxial bending. Example 1: Column concentric. Example 2: Column eccentric in the direction of the X axis to 1.50 m. Example 3: Column eccentric in the direction of the X axis to 1.50 m and in the direction of the Y axis to 1.50 m. The new model shows a great saving compared to the current model of 44.27% in Example 1, 50.90% in Example 2, 65.04% in Example 3. In this way, the new minimum area model for circular footings will be of great help to engineers when the column is located on the center or edge of the footing.

• 한국수학교육학회지시리즈A:수학교육
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• 제24권2호
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• pp.48-73
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• 1986

Though the tradition of Korean mathematics since the ancient time up to the 'Enlightenment Period' in the late 19th century had been under the influence of the Chinese mathematics, it strove to develop its own independent of Chinese. However, the fact that it couldn't succeed to form the independent Korean mathematics in spite of many chances under the reign of Kings Sejong, Youngjo, and Joungjo was mainly due to the use of Chinese characters by Koreans. Han-gul (Korean characters) invented by King Sejong had not been used widely as it was called and despised Un-mun and Koreans still used Chinese characters as the only 'true letters' (Jin-suh). The correlation between characters and culture was such that, if Koreans used Han-gul as their official letters, we may have different picture of Korean mathematics. It is quite interesting to note that the mathematics in the 'Enlightenment Period' changed rather smoothly into the Western mathematics at the time when Han-gul was used officially with Chinese characters. In Koryo, the mathematics existed only as a part of the Confucian refinement, not as the object of sincere study. The mathematics in Koryo inherited that of the Unified Shilla without any remarkable development of its own, and the mathematicians were the Inner Officials isolated from the outside world who maintained their positions as specialists amid the turbulence of political changes. They formed a kind of Guild, their posts becoming patrimony. The mathematics in Koryo significant in that they paved the way for that of Chosun through a few books of mathematics such as 'Sanhak-Kyemong', 'Yanghwi-Sanpup' and 'Sangmyung-Sanpup'. King Sejong was quite phenomenal in his policy of promotion of mathematics. King himself was deeply interested in the study, createing an atmosphere in which all the high ranking officials and scholars highly valued mathematics. The sudden development of mathematic culture was mainly due to the personality and capacity of king who took anyone with the mathematic talent into government service regardless of his birth and against the strong opposition of the conservative officials. However, King's view of mathematics never resulted in the true development of mathematics perse and he used it only as an official technique in the tradition way. Korean mathematics in King Sejong's reign was based upon both the natural philosophy in China and the unique geo-political reality of Korean peninsula. The reason why the mathematic culture failed to develop continually against those social background was that the mathematicians were not allowed to play the vital role in that culture, they being only the instrument for the personality or politics of the king. While the learned scholar class sometimes played the important role for the development of the mathematic culture, they often as not became an adamant barrier to it. As the society in Chosun needed the function of mathematics acutely, the mathematicians formed the settled class called Jung-in (Middle-Man). Jung-in was a unique class in Chosun and we can't find its equivalent in China or Japan. These Jung-in mathematician officials lacked tendency to publish their study, since their society was strictly exclusive and their knowledge was very limited. Though they were relatively low class, these mathematicians played very important role in Chosun society. In 'Sil-Hak (the Practical Learning) period' which began in the late 16th century, especially in the reigns of Kings Youngjo and Jungjo, which was called the Renaissance of Chosun, the ambitious policy for the development of science and technology called for. the rapid increase of he number of such technocrats as mathematics, astronomy and medicine. Amid these social changes, the Jung-in mathematicians inevitably became quite ambitious and proud. They tried to explore deeply into mathematics perse beyond the narrow limit of knowledge required for their office. Thus, in this period the mathematics developed rapidly, undergoing very important changes. The characteristic features of the mathematics in this period were: Jung-in mathematicians' active study an publication, the mathematic studies by the renowned scholars of Sil-Hak, joint works by these two classes, their approach to the Western mathematics and their effort to develop Korean mathematics. Toward the 'Enlightenment Period' in the late 19th century, the Western mathematics experienced great difficulty to take its roots in the Peninsula which had been under the strong influence of Confucian ideology and traditional Korean mathematic system. However, with King Kojong's ordinance in 1895, the traditional Korean mathematics influenced by Chinese disappeared from the history of Korean mathematics, as the school system was hanged into the Western style and the Western mathematics was adopted as the only mathematics to be taught at the Schools of various levels. Thus the 'Enlightenment Period' is the period in which Korean mathematics shifted from Chinese into European.

• 한국농공학회지
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• 제22권1호
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• pp.53-66
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• 1980

The research work is concerned with the analytical and experimental studies on the heat transfer phenomenon around the underground concrete digester used for biogas production Systems. A mathematical and computational method was developed to estimate heat losses from underground cylindrical concrete digester used for biogas production systems. To test its feasibility and to evaluate thermal parameters of materials related, the method was applied to six physical model digesters. The cylindrical concrete digester was taken as a physical model, to which the model,atical model of heat balance can be applied. The mathematical model was transformed by means of finite element method and used to analyze temperature distribution with respect to several boundary conditions and design parameters. The design parameters of experimental digesters were selected as; three different sizes 40cm by 80cm, 80cm by 160cm and l00cm by 200cm in diameter and height; two different levels of insulation materials-plain concrete and vermiculite mixing in concrete; and two different types of installation-underground and half-exposed. In order to carry out a particular aim of this study, the liquid within the digester was substituted by water, and its temperature was controlled in five levels-35。 C, 30。 C, 25。 C, 20。C and 15。C; and the ambient air temperature and ground temperature were checked out of the system under natural winter climate conditions. The following results were drawn from the study. 1.The analytical method, by which the estimated values of temperature distribution around a cylindrical digester were obtained, was able to be generally accepted from the comparison of the estimated values with the measured. However, the difference between the estimated and measured temperature had a trend to be considerably increased when the ambient temperature was relatively low. This was mainly related variations of input parameters including the thermal conductivity of soil, applied to the numerical analysis. Consequently, the improvement of these input data for the simulated operation of the numerical analysis is expected as an approach to obtain better refined estimation. 2.The difference between estimated and measured heat losses was shown to have the similar trend to that of temperature distribution discussed above. 3.It was found that a map of isothermal lines drawn from the estimated temperature distribution was very useful for a general observation of the direction and rate of heat transfer within the boundary. From this analysis, it was interpreted that most of heat losses is passed through the triangular section bounded within 45 degrees toward the wall at the bottom edge of the digesten Therefore, any effective insulation should be considered within this region. 4.It was verified by experiment that heat loss per unit volume of liquid was reduced as the size of the digester became larger For instance, at the liquid temperature of 35˚ C, the heat loss per unit volume from the 0. 1m$^3$ digester was 1, 050 Kcal/hr m$^3$, while at for 1. 57m$^3$ digester was 150 Kcal/hr m$^3$. 5.In the light of insulation, the vermiculite concrete was consistently shown to be superior to the plain concrete. At the liquid temperature ranging from 15。 C to 350 C, the reduction of heat loss was ranged from 5% to 25% for the half-exposed digester, while from 10% to 28% for the fully underground digester. 6.In the comparison of heat loss between the half-exposed and underground digesters, the heat loss from the former was fr6m 1,6 to 2, 6 times as much as that from the latter. This leads to the evidence that the underground digester takes advantage of heat conservation during winter.

• 대한교통학회지
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• 제20권3호
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• pp.149-158
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• 2002

동적 통행배정모형에서 주로 사용되는 링크 통행비용함수가 현실상황을 제대로 표현하지 못함에 따라, 최근 교통류의 특성을 현실적으로 묘사할 수 있는 여러 형태의 교통류모형(Traffic model)들이 제시되고 있다. 현재까지 개발된 모형들을 차량의 동적 움직임을 표현하는 가장 특징적인 요소인 교통류 전파(flow propagation) 과정에 따라 구분하면 교통량-통행시간(Flow-travel time)간의 관계를 명시적인 함수 형태로 사용하는 경우 (Functional approach)와 Cell transmission model이나 개별차량 또는 몇 개의 차량을 1개의 그룹으로 묶은 미시적인 패킷(package)에 기초한 시뮬레이션 형태로 표현하는 경우로(Non-functional approach) 나눌 수 있다. 그러나 함수형태의 비용함수는 여러 연구에서 실제 차량의 행태를 묘사하는 데에는 한계가 있음을 보여주고 있다. 따라서, 본 연구에서는 차량의 통행시간을 패킷기초의 시뮬레이션으로 묘사하는 기법을 개발하는 데, 수직형 대기행렬모형(Vertical queue model 또는 Point Queue model)으로 개발한다. 개발된 모형의 동적 교통류 표현능력을 검토하기 위하여 교통류의 전파를 시간 종속적으로 재현하는 시뮬레이션 부하기법(Simulation loading algorithm)을 개발하고 개발된 모형을 상용 프로그램과 비교한다. 본 연구에서는 교통류의 기본 변수인 교통량-속도-밀도간의 관계와 통행시간간의 관계를 살펴본다. 분석결과, 미시적모형에 비해 상대적으로 간단한 전파규칙(propagation rule)을 사용함에도 불구하고 현실적인 교통류에서 나타나는 중요한 특성들을 모두 확인할 수 있었다.FA비율에 있어서 D$_2$, D$_3$, D$_{6}$이 D$_1$에 비해 유의적으로 높게 나타났지만 D$_1$, D$_4$, D$_{5}$, D$_{7}$, 실험구간 그리고 D$_2$-D$_{7}$, 실험구간 사이에서는 각각 유의적인 차이가 없었다(P<0.05). DHA/EPA의 비율에 있어서 D$_{7}$이 유의적으로 높았으며, D$_{5}$가 유의적으로 낮았다(P<0.05). 상기의 결과를 토대로, 성장과 전어체내 지방산조성에 있어서 뱀장어 치어의 사료내 EPA와 DHA의 첨가효과 미약한 것으로 판단되며, 사료내 LNA (n-3)와 LA(n-6) HUFA을 각각 0.35%, 0.65% 첨가했을 때 WG, SGR, FE, PER이 가장 높았으나, 이전의 실험(Takeuchi, 1980)과 동일한 수준인 n-3와 n-6를 각각 0.5%씩 첨가한 실험구와는 유의적인 차이를 보이지 않았다. 이렇게 볼 때, 뱀장어 치어의 필수지방산은 LNA (n-3), LA (n-6)이고, 그 적정수준은 각각 0.35-0.5%, 0.5-0.65%임을 보여준다.George W, Bush)가 새로운 지도자로 취임하여 얼마 되지 않은 2001년 9월 11일 사상 초유로 본토에서 알 카에다 테러리스트 조직에 의해 공격받게 되었다. 뉴욕의 세계무역센터 빌딩 2개가 완전히 붕괴되고, 펜타곤에 민간 여객기가 충돌하여 많은 사람이 살상 당하고, 전체적으로 세계 80여 개국으로부터의 6천여 명이 살상되었다. 전 세계와 미국은

• Asia pacific journal of information systems
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• 제19권2호
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• pp.157-178
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• 2009

Corporate credit rating is a very important factor in the market for corporate debt. Information concerning corporate operations is often disseminated to market participants through the changes in credit ratings that are published by professional rating agencies, such as Standard and Poor's (S&P) and Moody's Investor Service. Since these agencies generally require a large fee for the service, and the periodically provided ratings sometimes do not reflect the default risk of the company at the time, it may be advantageous for bond-market participants to be able to classify credit ratings before the agencies actually publish them. As a result, it is very important for companies (especially, financial companies) to develop a proper model of credit rating. From a technical perspective, the credit rating constitutes a typical, multiclass, classification problem because rating agencies generally have ten or more categories of ratings. For example, S&P's ratings range from AAA for the highest-quality bonds to D for the lowest-quality bonds. The professional rating agencies emphasize the importance of analysts' subjective judgments in the determination of credit ratings. However, in practice, a mathematical model that uses the financial variables of companies plays an important role in determining credit ratings, since it is convenient to apply and cost efficient. These financial variables include the ratios that represent a company's leverage status, liquidity status, and profitability status. Several statistical and artificial intelligence (AI) techniques have been applied as tools for predicting credit ratings. Among them, artificial neural networks are most prevalent in the area of finance because of their broad applicability to many business problems and their preeminent ability to adapt. However, artificial neural networks also have many defects, including the difficulty in determining the values of the control parameters and the number of processing elements in the layer as well as the risk of over-fitting. Of late, because of their robustness and high accuracy, support vector machines (SVMs) have become popular as a solution for problems with generating accurate prediction. An SVM's solution may be globally optimal because SVMs seek to minimize structural risk. On the other hand, artificial neural network models may tend to find locally optimal solutions because they seek to minimize empirical risk. In addition, no parameters need to be tuned in SVMs, barring the upper bound for non-separable cases in linear SVMs. Since SVMs were originally devised for binary classification, however they are not intrinsically geared for multiclass classifications as in credit ratings. Thus, researchers have tried to extend the original SVM to multiclass classification. Hitherto, a variety of techniques to extend standard SVMs to multiclass SVMs (MSVMs) has been proposed in the literature Only a few types of MSVM are, however, tested using prior studies that apply MSVMs to credit ratings studies. In this study, we examined six different techniques of MSVMs: (1) One-Against-One, (2) One-Against-AIL (3) DAGSVM, (4) ECOC, (5) Method of Weston and Watkins, and (6) Method of Crammer and Singer. In addition, we examined the prediction accuracy of some modified version of conventional MSVM techniques. To find the most appropriate technique of MSVMs for corporate bond rating, we applied all the techniques of MSVMs to a real-world case of credit rating in Korea. The best application is in corporate bond rating, which is the most frequently studied area of credit rating for specific debt issues or other financial obligations. For our study the research data were collected from National Information and Credit Evaluation, Inc., a major bond-rating company in Korea. The data set is comprised of the bond-ratings for the year 2002 and various financial variables for 1,295 companies from the manufacturing industry in Korea. We compared the results of these techniques with one another, and with those of traditional methods for credit ratings, such as multiple discriminant analysis (MDA), multinomial logistic regression (MLOGIT), and artificial neural networks (ANNs). As a result, we found that DAGSVM with an ordered list was the best approach for the prediction of bond rating. In addition, we found that the modified version of ECOC approach can yield higher prediction accuracy for the cases showing clear patterns.

• 지능정보연구
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• 제23권4호
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• pp.147-168
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• 2017

오래 전부터 학계에서는 정확한 주식 시장의 예측에 대한 많은 연구가 진행되어 왔고 현재에도 다양한 기법을 응용한 예측모형들이 연구되고 있다. 특히 최근에는 딥러닝(Deep-Learning)을 포함한 다양한 기계학습기법(Machine Learning Methods)을 이용해 주가지수를 예측하려는 많은 시도들이 진행되고 있다. 전통적인 주식투자거래의 분석기법으로는 기본적 분석과 기술적 분석방법이 사용되지만 보다 단기적인 거래예측이나 통계학적, 수리적 기법을 응용하기에는 기술적 분석 방법이 보다 유용한 측면이 있다. 이러한 기술적 지표들을 이용하여 진행된 대부분의 연구는 미래시장의 (보통은 다음 거래일) 주가 등락을 이진분류-상승 또는 하락-하여 주가를 예측하는 모형을 연구한 것이다. 하지만 이러한 이진분류로는 추세를 예측하여 매매시그널을 파악하거나, 포트폴리오 리밸런싱(Portfolio Rebalancing)의 신호로 삼기에는 적합치 않은 측면이 많은 것 또한 사실이다. 이에 본 연구에서는 기존의 주가지수 예측방법인 이진 분류 (binary classification) 방법에서 주가지수 추세를 (상승추세, 박스권, 하락추세) 다분류 (multiple classification) 체계로 확장하여 주가지수 추세를 예측하고자 한다. 이러한 다 분류 문제 해결을 위해 기존에 사용하던 통계적 방법인 다항로지스틱 회귀분석(Multinomial Logistic Regression Analysis, MLOGIT)이나 다중판별분석(Multiple Discriminant Analysis, MDA) 또는 인공신경망(Artificial Neural Networks, ANN)과 같은 기법보다는 예측성과의 우수성이 입증된 다분류 Support Vector Machines(Multiclass SVM, MSVM)을 사용하고, 이 모델의 성능을 향상시키기 위한 래퍼(wrapper)로서 유전자 알고리즘(Genetic Algorithm)을 이용한 최적화 모델을 제안한다. 특히 GA-MSVM으로 명명된 본 연구의 제안 모형에서는 MSVM의 커널함수 매개변수, 그리고 최적의 입력변수 선택(feature selection) 뿐만이 아니라 학습사례 선택(instance selection)까지 최적화하여 모델의 성능을 극대화 하도록 설계하였다. 제안 모형의 성능을 검증하기 위해 국내주식시장의 실제 데이터를 적용해본 결과 ANN이나 CBR, MLOGIT, MDA와 같은 기존 데이터마이닝 기법들이나 인공지능 알고리즘은 물론 현재까지 가장 우수한 예측 성과를 나타내는 것으로 알려져 있던 전통적인 다분류 SVM 보다도 제안 모형이 보다 우수한 예측성과를 보임을 확인할 수 있었다. 특히 주가지수 추세 예측에 있어서 학습사례의 선택이 매우 중요한 역할을 하는 것으로 확인 되었으며, 모델의 성능의 개선효과에 다른 요인보다 중요한 요소임을 확인할 수 있었다.

• Journal of Radiation Protection and Research
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• 제33권4호
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• pp.127-134
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• 2008

울진원전 3,4 호기의 가상적 중대사고로 인한 종합적인 경제적 리스크를 평가하였다. 이 연구의 목적을 위해 방사능 구름이 내륙을 향하는 것으로 가정하였다. 평가과정에서 불확실한 인자의 정량화에는 전문가 판단 및 의견도출에 유용한 것으로 알려진 델파이 기법을 이용하였다. 종합적인 경제적 리스크는 직접영향 비용과 간접영향 비용으로 구분되므로, 먼저 직접영향에 대한 비용을 평가하고, 예측된 가중치들 이용하여 직접영향 대비 간접영향 비용을 평가하였다. 행동학적 접근방법인 델파이 문제점을 보완하기 위해 수학적 접근방법인 베이지안 기법을 자료처리 과정으로 하는 모형을 적용하여 간접영향에 대한 경제적 충격량을 예측하였다. 1D 몬테칼로분석(MCA)으로 평가한 간접피해에 대한 가중치는 평균 2.59, 중앙값 2.08로 OECD/NEA에서 제시하는 가중치 1.25보다 높게 나타났다. 작은 국토나 방사선에 민감한 대중 성향과 같은 인지들이 패널의 판단에 영향을 미쳤을 수 있다. 직접피해 평가모델의 모수를 U형과 V형으로 구분하고 2D MCA를 사용한 종합적 경제적 리스크는 중앙값의 50%ile을 기준으로 2006년 국내총생산의 3.9%에 해당되었으며, 직접피해 영향이 가장 큰 자산 및 전력손실 비용을 제외하면 총 경제적 리스크는 국내총생산의 2.2% 수준이었다. 이 결과는 원전 비상계획과 대응태세 준비에 대한 투자 정당화에 참조 자료로 이용될 수 있다.

• 한국과학교육학회지
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• 제34권2호
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• pp.63-78
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• 2014

통합적 STEM 교육은 과학, 기술, 공학, 수학의 내용과 과정을 체계적이고 의도적으로 통합하려는 공학적 설계기반 학습을 말하며, 다른 교과와 통합을 통해 더욱 발달할 수 있다. 이 연구는 과학 탐구 기반의 통합적 STEM 교육 프로그램의 개발과 효과 검증을 위한 기초연구이며, STEM 교육 관련 문헌 연구를 통해 STEM 교육의 가치와 핵심요소를 분석하고 과학 탐구 기반의 통합적 STEM 교육 모형의 개발 및 모형을 적용하여 개발한 대표적인 예시 프로그램을 제시하는 것이다. 모형에 포함될 요소를 확정하기 위해 문헌 분석을 실시하였고, 선행 연구에 포함된 내용과 탐구 과정을 분석하여 통합적 STEM 교육 모형을 구성하였다. 전문가의 내용 타당도 분석 결과 CVR 값의 평균은 0.78로 구성된 모형은 내용 타당도가 있는 것으로 판단되었다. 이 STEM 교육 모형은 내용과 탐구 과정의 두 가지 측면으로 나누어진다. 내용의 측면은 실생활 문제에서 경험할 수 있는 과학, 기술, 공학, 수학 그리고 인문사회와 예술적 소재까지 포괄할 수 있으며, 탐구 과정은 설계와 제작을 기반으로 한 문제해결 과정이다. 탐구 과정은 과학 탐구를 기반으로 하여 기술 공학적 문제해결 과정을 적용할 수 있도록 구성하였다. 학생들은 실생활 문제를 분석하고, 설계하고 제작하는 과정에서 STEM 교과에 대한 흥미를 향상시킬 수 있고 문제에 포함된 지식과 탐구의 방법과 기능을 체계적으로 학습할 수 있다. 개발된 프로그램은 학교 현장에서 활용되어, STEM 교과에 대한 이해도 증진과 과학, 수학에 대한 흥미를 높이고, 과학기술 기반의 융합적 소양과 설계 기반의 문제해결력을 배양하는 데 기여할 수 있을 것이다.