• Journal of Science Education
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• v.45 no.2
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• pp.187-200
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• 2021

This study was conducted to identify students' meaningful scientific experiences and to ascertain the path through which the experience led to learning. The subjects of 'Understanding of the History of Science' were asked to write an essay on the subject of 'Effects of science on my life' to 81 students in the department of literature and 125 students in the science department. After that Classification criteria were established through scientific experts' seminars, and the scientific experiences that affected students and their effects were examined. The results from analyses were summarized as follows: First, As a result of study about Science Education experience that has impacted students' lives, the students were influenced by images, most of which were influenced by scientific videos. They were also influenced by science classes and science books. As a result of classifying science experience, most of the experience is composed of Informal Science Learning. Second, as a result of examining how students were influenced by their scientific experience, they found that they were affected by their daily life or influenced by science. As a result of the research, it can be confirmed that Informal Science Learning experience is an important learning form that has a great influence on students. Therefore, appropriate Informal Science Learning experience should be introduced into the class, and research and development on the Informal Science Learning experience preferred by the students should be done.

• Journal of Korea Spatial Information System Society
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• v.11 no.1
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• pp.157-168
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• 2009

Geospatial information, which deeply has an effect on our life, have been evolved as intelligent geospatial information in Ubiquitous era. Also, Various services are introduced using the intelligent geospatial information. However, there is no classification system, for understanding the intelligent geospatial information services, considering any developers and users. It needs to be classification system to classify these services. In this paper, we introduced a concept of intelligent geospatial information and developed a service classification matrix regarding to the features of the services. This service classification matrix has three scales; service domain, service intelligent level, and geo-location accuracy. The propose of this matrix can be utilized in two aspects. First, the matrix can improve the reality that doesn't reflect actual demands for the services. Second, the matrix can present the goal of the new services or the development direction. The matrix can be utilized to the geospatial industry as creating the new blue ocean services. However, the service classification matrix needs to modify and complement to have no anything wrong when the various services are applied to the matrix. In the long run, the matrix has to be utilized as a material to make out a service roadmap or TRM(Technical Reference Model).

• Spatial Information Research
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• v.21 no.1
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• pp.63-73
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• 2013

Geographic features are reflected in satellite images, which contain characteristic elements. Information on changes can be obtained through a comparison of images taken at different times. If multi-temporal images can be classified through the use of an unsupervised method, this is likely to improve the accuracy of image classification and contribute to various applications. A rule-based image classification algorithm for automatic processing without human involvement has been developed, but it must be verified that its results are not affected by imperfect elements. In this study, Landsat images of Jeju Island were used to carry out a rule-based image classification. The application results were examined for complex cases, including the presence of clouds in the images, different photographed times, and the type of target area, such as city, mountain, or field. The presence of clouds did not affect calculations, and appropriate classification rules were applied, depending on the different photographed times. The expansion of the urban areas of Jeju and the increase of facilities such as vinyl greenhouses in Seoguipo were identified. Furthermore, space information changes and accurate classifications for Jeju Island were obtained. With the goal of performing high-quality unsupervised classifications, measures to generalize and improve the methods employed were searched for. The findings of this study could be used in time-series analyses of images for various applications, including urban development and environmental change monitoring.

• Journal of Intelligence and Information Systems
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• v.26 no.3
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• pp.127-147
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• 2020

The world is suffering from numerous human and economic losses due to the novel coronavirus infection (COVID-19). The Korean government established a strategy to overcome the national infectious disease crisis through research and development. It is difficult to find distinctive features and changes in a specific R&D field when using the existing technical classification or science and technology standard classification. Recently, a few studies have been conducted to establish a classification system to provide information about the investment research areas of infectious diseases in Korea through a comparative analysis of Korea government-funded research projects. However, these studies did not provide the necessary information for establishing cooperative research strategies among countries in the infectious diseases, which is required as an execution plan to achieve the goals of national health security and fostering new growth industries. Therefore, it is inevitable to study information services based on the classification system and classification model for establishing a national collaborative R&D strategy. Seven classification - Diagnosis_biomarker, Drug_discovery, Epidemiology, Evaluation_validation, Mechanism_signaling pathway, Prediction, and Vaccine_therapeutic antibody - systems were derived through reviewing infectious diseases-related national-funded research projects of South Korea. A classification system model was trained by combining Scopus data with a bidirectional RNN model. The classification performance of the final model secured robustness with an accuracy of over 90%. In order to conduct the empirical study, an infectious disease classification system was applied to the coronavirus-related research and development projects of major countries such as the STAR Metrics (National Institutes of Health) and NSF (National Science Foundation) of the United States(US), the CORDIS (Community Research & Development Information Service)of the European Union(EU), and the KAKEN (Database of Grants-in-Aid for Scientific Research) of Japan. It can be seen that the research and development trends of infectious diseases (coronavirus) in major countries are mostly concentrated in the prediction that deals with predicting success for clinical trials at the new drug development stage or predicting toxicity that causes side effects. The intriguing result is that for all of these nations, the portion of national investment in the vaccine_therapeutic antibody, which is recognized as an area of research and development aimed at the development of vaccines and treatments, was also very small (5.1%). It indirectly explained the reason of the poor development of vaccines and treatments. Based on the result of examining the investment status of coronavirus-related research projects through comparative analysis by country, it was found that the US and Japan are relatively evenly investing in all infectious diseases-related research areas, while Europe has relatively large investments in specific research areas such as diagnosis_biomarker. Moreover, the information on major coronavirus-related research organizations in major countries was provided by the classification system, thereby allowing establishing an international collaborative R&D projects.

• 대한공업교육학회지
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• v.43 no.2
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• pp.79-96
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• 2018

In this study, we look at the effect that the achievement goal of specialized high school students has on academic self-efficacy and the difference in academic self-efficacy depending on achievement goal orientation. The purpose of this research is to help students to efficiently increase their academic self-efficacy, develop research and study life guidance measures to improve negative factors, and select professors and learning methods. To achieve the purpose, survey was conducted with achievement goal orientation measurement tools(26 questions) and academic self-efficacy measurement tools(28 questions) for 745 students of 18 specialized technical high school students in 5 districts. The results of this study are as follows. First, preference to task difficulty and self-controlling efficacy have highly positive correlations with mastery goal orientation and confidence and mastery avoidance goal orientation have highly negative correlations each other. Second, achievement goal orientation form of specialized high school students were divided into 5 forms; 'execution avoidance(34.8%)', 'mastery orientation(20.8%)', 'approach(17%)', 'avoidance competition(14.9%)', and'mastery avoidance(12.5%)'. In preference to task difficulty, 'approach'group showed the highest average point and 'mastery avoidance'showed the lowest average point. The average point of 'approach' group was higher than other groups in confidence, but 'mastery orientation' group showed the highest average point. Through the results of this study, academic self-efficacy makes an effect by a certain direction in accordance with achievement goal orientation and it's necessary to access academic problems differently according to student's goal directivity. Therefore, it's necessary to provide educational method by student type based on explanation about academic self-efficacy of achievement goal orientation of specialized high school students and analysis on achievement goal orientation form.

• The Journal of Korean Association of Computer Education
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• v.7 no.1
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• pp.15-25
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• 2004

In this study, we present an assessment model for the 'Information Society and Computer' subject of the 7th National High School Curriculum. The Assessment model is developed to improve the quality of the curriculum by considering both of the objective of the National Curriculum and the property of the subject. To develop the assessment model, we analyzed textbooks used in most schools, developed achievement standards, classified assessment areas and standards. Adequacy and potential practice of the assessment model is also reviewed and evaluated by subject experts.

• Journal of the Korean Data and Information Science Society
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• v.21 no.5
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• pp.917-926
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• 2010

It is known that bagging and boosting techniques improve the performance in classification problem. A number of researchers have proved the high performance of bagging and boosting through experiments for categorical response but not for continuous response. We study whether bagging and boosting improve data mining methods for continuous responses such as linear regression, decision tree, neural network through bagging and boosting. The analysis of eight real data sets prove the high performance of bagging and boosting empirically.

• Journal of Korean Elementary Science Education
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• v.26 no.5
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• pp.570-579
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• 2007

Instructional objectives clearly show what teachers should teach in the class and how they lead the class, focusing on a certain activity for their students in the class. Clear instructional objectives are a prerequisite for teachers to accomplish effectively their curriculum. The revised Bloom's taxonomy table of educational objectives has been introduced in 50 years since the publication of his original taxonomy table in 1956. Bloom's revised taxonomy table of educational objectives has two-dimensions, the "cognitive process" dimension and the "knowledge" dimension, and it classifies class objectives more elaborately and clearly. This study was designed to classify instructional objectives stated in elementary science guidebooks for teachers into Bloom's revised taxonomy table, and see how the objectives of elementary science classes were categorized by grade level and areas. In addition, this study examined how the objectives of elementary science classes by study area were classified into the new taxonomy table. This study classified 618 elementary science instructional objectives of third- to sixth-grade science guidebooks for teachers into Bloom's revised taxonomy table. The results showed that the objectives of elementary science classes emphasized disproportionately some of the knowledge and cognitive process dimensions. In the area of subjects while the percentages of factual knowledge were very high, those of meta-cognitive knowledge were low.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.4
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• pp.930-937
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• 2007

In this paper, we address a design problem and a case study of a K-stage inspection system, which is composed of K stages, each of which includes an inspection process and a rework process. Assuming the type I and II errors of inspectors and the re-inspection policy for items classified as good, we determine the smallest integer of K which can achieve a given target defective rate. If K does not exist, holding the current values of the type I, II errors, we search reversely a new vector, (the defective rate of an assembly line, the defective rate of a rework process), which can give the target defective rate. Our formulas and methodology based on our K-stage inspection system could be applied and extended to similar situations with slight modifications.

• Journal of Korean Society of Transportation
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• v.19 no.1
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• pp.53-61
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• 2001

This study shows that a functional order relationship of national highways in rural areas, which provides the functional system as a principal and minor arterial highways, can be established by the use of statististics. As a result, the adequate functional design criteria of those highways are proposed on the basis of the traffic characteristics in those areas. According to those statistical studies, a function of national highways in the national road network is proved to form three categories broadly. Especially, the survey results based on the traffic characteristics on each road sections show that the initially constructed national highways can not provide an adequate functional role as the arterial highways in the studied areas. In order to operate the intended national highways functionally as the arterial highways, the functional design criteria of highways and the standard order of highway facilities based on the design traffic speed should be considered as an alternative.