• Korean Journal of Human Ecology
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• v.20 no.1
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• pp.183-194
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• 2011

The main objective of this research was to investigate the Korean food (Hansik) Curriculum of Culinary Art & Science related department of mainly four-year universities in Korea. To accomplish this study, we performed an analysis regarding curriculum data from the homepage of nine universities. The method of this research was conducted by content analysis. The classification according to content analysis was conducted to 1) current status regarding Korean Food related curriculum, 2) a study on the Korean food related theoretical curriculum, and 3) a study on the Korean food related practical curriculum. As a result of this study, the most common opened curriculum was 'a study on the Korean food related practical curriculum'. The largest curriculum among 'a study on the Korean food related practical curriculum' was the Korean cooking skill of basic and intermediate. The following curriculum was the Korean traditional and royal cuisine related curriculum. These two curriculum were found based on data of Culinary related departments of mainly four-year universities in Korea. To summarize these results, in the cases of the general culinary-related departments, Korean food-related classes will need expansion. In addition to Korean food-related departments, increasing the opening of classes to learn regarding Korean foods will be needed.

• Journal of The Korean Association of Information Education
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• v.15 no.4
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• pp.625-634
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• 2011

This research examines educational effects on students' scientific process skills after applying a robot utilized MBL learning. Surveys and interviews concerning robot based science lessons were also conducted. The students were divided into experiment group who used the robots and controlled group who used traditional learning method with textbook and experiments. The result showed some significant differences in scientific measurement, prediction and inference(<.05). In contrast, no significant differences were found in observation and classification. The students answered the survey that the robots helped them understand science better and made science lessons more interesting.

• Journal of The Korean Association For Science Education
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• v.23 no.4
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• pp.309-318
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• 2003

Scientific reasoning is one of the main concerns in current science education. This study have tried to answer on the question whether Korean science education has the potential to help improve of students' ability to think scientifically. Therefore, the present study investigated the relationship between reasoning patterns evident in science textbook and science examination items, and students' scientific reasoning skills across grades in Korea. 1975 subjects (1022 females and 953 males) were administered in the Lawson's Test of Scientific Reasoning skills. Forty seven science textbooks and 240 assessment instrument were analyzed by several scientific reasoning keys. Scientific reasoning patterns were adopted from Lawson's classification which characterized the patterns as the empirical-inductive and the hypothetical-deductive. This study found that reasoning patterns evident in textbook analyses and assessment instrumental items do not evidentce the potential to stimulate the development of students' reasoning skill. In order to improve the students' abilities to think and achieve, higher levels of reasoning must be included in the science textbook and examination. Further, some of scientific reasoning processes, such as generating hypotheses, designing experiments, and logical prediction, were not found in science textbooks and test items in Korean secondary schools. This study also discussed the educational implication of these results and further studies about to develop student's reasoning ability.

• Journal of Korean Society for Quality Management
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• v.23 no.3
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• pp.69-83
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• 1995

In a large number of literature on of inspection tasks, one of the most consistent findings is the existence of large and consistent differences among inspectors. It is possible that the individual difference is described by the difference of cognitive skills, because cognitive skills are required more than manual skills in inspection tasks. Therefore, a set of cognitive factors in human information processing may underly human performance in inspection tasks. In this study, a cognitive skill was described as the relative importance of the cognitive factors involved. A hierarchical task analysis and a fuzzy hierarchical analysis were used to represent how the importance of cognitive factors contribute to inspection performance. An experiment was conducted using the computer simulations of PCB inspection tasks. The results revealed that the subject group with better performance showed the importance weights of cognitive factors in the following rank; (attention, perception, judgement, classification, recognition)<(detection)$\ll$(memory). The results of the experiment can serve as a selection criterion for efficient inspection performance and the information of skilled learning for an inspection training program. The usefullness of a hierarchical task analysis and a fuzzy hierarchical task analysis for the analysis of cognitive tasks are also confirmed.

• The Journal of Korean Academic Society of Nursing Education
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• v.16 no.2
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• pp.239-248
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• 2010

Purpose: This study was done to propose the developmental direction of study related to nursing practice education by grasping the trend of study in fundamental and clinical practice. Method: A total of 48 research articles which were published on nursing practice education in Korea from 2002 to 2009 were analyzed with structured analysis forms. Result: Most research was related to clinical practice (n=40). A high percentage of non-experimental research design was related to fundamental practice (75%) and clinical practice (65%). Qualitative research was only used in clinical practice (n=8). Nursing students were predominantly selected as an object of research in fundamental practice (n=6) and clinical practice (n=32). In addition, many of the areas in clinical practice were a general clinical setting without any classification of the specific area. The concepts of research in fundamental practice were related to competency in basic nursing skill and most concepts of research in clinical practice were associated with satisfaction, stress, experience, critical thinking and problem solving ability of the nursing student. Conclusion: There's something to be desired in nursing research related to instructor methods, teaching-learning methods and nursing education programs. Therefore, more specific and continuous research focused on these topics to improve clinical nursing competence of the nursing student is needed.

• Journal of Korean Elementary Science Education
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• v.27 no.3
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• pp.287-295
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• 2008

Elementary students' behaviors classifying leaves have been analyzed according to the material types provided for the classification class. 199 sixth grade students were participated in the task classifying the leaves of various plants for the research. The three types of materials provided to them for the class were real leaves, photos of the leaves and explanation cards including the photos of leaves. One of the research findings was that the only material made students handle in the observed behaviors was the real leave of the material types given as classifying. Three were differences between groups in the time required and the number of using criteria for the class. The numbers of criteria had been applied to analyzing their behaviors as classifying the real leaves which were less than those with photo materials. The amount of taken time to classify the real leaves and photo materials were less than those of another material. Finally, the contents of criteria did not differ between groups except appearing properties presented to the task with photo and explanation materials. It is expected that the research can be contributed for elementary school teachers and for curriculum developers to choose appropriate instructional materials as constructing curriculum contents for elementary science to make elementary school students acquire classifying skill in science classes.

• Korean Institute of Interior Design Journal
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• v.15 no.6 s.59
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• pp.238-246
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• 2006

Recent trends of interior design have a focus on creation of more various meanings rather than past ideology which sought after the compatibility to the function of modem design. These trends requires integral understanding of social and cultural ideologies with a sens of values for a certain periods. In addition, they also require creativity which able to read, find and solve consumer's diverse demand and desire. Considering the effort of trend forecasting in Korea is still heavily rely on the foreign trend shows, it is natural to attempt to study the analytical forecasting methodology based upon more systematic principles which lead to more objective outcome, when the understanding, forcasting and analysis of interior decoration trend are required. In this thesis, the analysis and forecasting of interior decoration trend are studied by means of verbal image code process which involves the induction of design concept through data extraction, classification and analysis, in order to understanding and satisfying the diversified consumer's demand and trend. The coding process of verbal image is understanding as general concept. by extracting common elements from abstract and individual image, and/or specific concept. Therefore, it is proposed that the database building and data mining process of verbal Image, and subsequent development of programming skill can be applied as more efficient tool for various verbal image process.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.3B
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• pp.239-253
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• 2006

For guaranteeing the international competitive power of SW industry that is the core industry for the future, the training of SW technical manpower as an architect is needed. They must confront the change of worldwide technology and also lead the design and analysis of SW industry for the future. However, SW technical manpower based on regular career tends to change his employment as a general manager in current status. For solve this situation and reconsider the quality level of SW technical manpower, we need to propose the systematic and effective growth direction for them. Therefore, we propose the systematic and effective growth direction for domestic SW technical manpower and a plan to be realized by suggesting the carrier path of high level SW analysis/design manpower in this paper.

• Journal of the Korea Safety Management & Science
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• v.22 no.4
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• pp.35-43
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• 2020

The National Competency Standards(NCS) has been developed a good curriculum to reflect the demand in the industry. NCS is defined as systemizing the knowledge, skill, and attitude required to perform a task in the industry. It is an effort to reduce the gap between educational requirements and occupational requirements. However, when NCS is applied, the task level is changed to the title of qualification according to the policy outcomes for the government project. And, the NCS has been emphasizing the purpose of license acquisition, rather than using the standard for tasks in the industry. It means that the misuse of NSC hinders utilizing it as the original purpose of standardizing a task. It requires the customer to study the required competency unit with a no-choice option. Moreover, it makes it hard for companies or industry autonomically run the NCS. Therefore, we define the operational range in terms of the education field, the qualification field, and the career field to diffuse and apply NCS, and suggest the effective utilization method.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.95-99
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• 2023

Recently Machine Learning has been considered as one of the active research areas of Computer Science. The various Artificial Intelligence techniques are used to solve the classification problems of environmental sciences, biological sciences, and medical sciences etc. Due to the heterogynous and malfunctioning weather sensors a considerable amount of noisy data with missing is generated, which is alarming situation for weather prediction stockholders. Filling of these missing values with proper method is really one of the significant problems. The data must be cleaned before applying prediction model to collect more precise & accurate results. In order to solve all above stated problems, this research proposes a novel weather forecasting system which consists upon two steps. The first step will prepare data by reducing the noise; whereas a decision model is constructed at second step using regression algorithm. The Confusion Matrix will be used to evaluation the proposed classifier.