• Journal of The Korean Association For Science Education
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• v.35 no.4
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• pp.735-750
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• 2015

The purpose of this study is to draw an educational implication by analyzing the context of narrative texts, students' narrative thinking, and their academic achievement. We investigated text types in students' geological field trip reports, the reason why students favors narrative texts, the relationship between narrative texts and their scientific knowledge recall, and the relationship between narrative thought and academic achievement. All students used expository texts, 82% of them expressed argumentative texts, and 36% of them used narrative texts. It is likely that students use more narrative texts because students were in the context of outdoor activity and so, their emotional feelings were more activated than when they are doing lab activities. The academic characteristics of earth science seemed to contribute more narrative texts in students' reports. The post-test revealed that students with narrative texts recalled better than the others. On the other hand, there were no statistically meaningful differences in academic achievement between the two groups. However, we have noted that female students whose reports contain narrative texts achieved significantly higher scores than female students whose reports are without narrative texts. From in-depth interviews, we found that students who properly used both paradigmatic and narrative mode of thought were in a more advantageous position than those who used narrative thought only. It was also found that some narratively thinking students tended to feel uncomfortable with the way of learning or evaluating questions about science. In the future, a complementary approach of narrative and paradigmatic mode of thoughts would be encouraged by understanding students' tendency of thinking.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.454-462
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• 2010

The current curriculum in the 7th informatics, which simply highlights the use of applied programs rather than enhancing creativity through learning several principles in information science and thus making it hard to have optimism on the future as a powerhouse in IT. By diagnosing these problems, Education Ministry revised the existing curriculum to have a more scientific access to the informatics. However, the curricular revision fails to meet the needs of learners sufficiently because it tends to put the considerations of theoretical specialists before the learners them selves. This paper compares and analyzes the overall understanding of learners on informatics, current-curriculum and 7th revised curriculum and that of college-level, thus offering the student-centered one. Also, the research tries to bridge the opinion gap between developer and learner by looking into the understanding level of university majors about the current curriculum. In doing so, thesis may provide the basis on exploring new approaches and contribute to establishing 7th revised curriculum in school.

• The Journal of the Korea Contents Association
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• v.16 no.1
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• pp.342-351
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• 2016

Basic nursing, the course for the nursing students to experience nursing practice before going on to th clinical practice, and is crucial for solving health-related problems of patients. This study is a descriptive research study to analyze the impact factors associated with nursing students' basic nursing skill competency. In this study, total 181 subjects participants, and by using a structured questionnaire. Data were collected by self-written questionnaire method. The collected data were analyzed using the SPSS WIN 22.0 program. Of the general characteristics of the subjects, the difference in basic nursing competency was found according to admission motive, major satisfaction, and interest in practice. Critical thinking disposition and the degree of self-training aid influenced performance of basic nursing skills by nursing students, and these variables explained 23.8% of the total variance of basic nursing skills performance. These findings suggest, in order to improve performance of basic nursing skills in nursing students, it is necessary to use various teaching methods that help improve critical thinking and relevant curriculum that promote self-practice.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.610-619
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• 2016

Digital manufacturing (DM) technology helps engineers design products promptly and reliably at low production cost by simulating a manufacturing process and the material behavior of a product in use, based on three-dimensional digital modeling. The computing infrastructure for digital manufacturing, however, is usually expensive and, at present, the number of professional design engineers who can take advantage of this technology to a product design accurately is insufficient, particularly in small and medium manufacturing companies. Considering this, the Korea Institute of Science and Technology Information (KISTI) and H University is operating a DM track in the form of Industry-University-Research Institute collaboration to train high-performance-computing-based DM professionals. In this paper, a series of courses to train students to work directly into DM practice in industry after graduation is reported. The operating cases of the DM track for two years since 2013 are presented by focusing on the progress in establishment, lecture and practice contents, evaluation of students, and course quality improvement. Overall, the track management, curriculum management, learning achievement of students have been successful. By expediting more active participation of the students in the track and providing more internship and job offers in the participating companies in addition to collaborative capstone design projects, the track can be expanded by fostering a nationwide training network.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.634-642
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• 2020

With the proliferation of Internet of Things (IoT) devices, using the Linux operating system in various architectures has increased. Also, security threats against Linux-based IoT devices are increasing, and malware variants based on existing malware are constantly appearing. In this paper, we propose a system where the binary data of a visualized Executable and Linkable Format (ELF) file is applied to Local Binary Pattern (LBP) image processing techniques and a median filter to classify malware in a Convolutional Neural Network (CNN). As a result, the original image showed the highest accuracy and F1-score at 98.77%, and reproducibility also showed the highest score at 98.55%. For the median filter, the highest precision was 99.19%, and the lowest false positive rate was 0.008%. Using the LBP technique confirmed that the overall result was lower than putting the original ELF file through the median filter. When the results of putting the original file through image processing techniques were classified by majority, it was confirmed that the accuracy, precision, F1-score, and false positive rate were better than putting the original file through the median filter. In the future, the proposed system will be used to classify malware families or add other image processing techniques to improve the accuracy of majority vote classification. Or maybe we mean "the use of Linux O/S distributions for various architectures has increased" instead? If not, please rephrase as intended.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.1
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• pp.56-63
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• 2016

In this study, we introduce a design of Fuzzy RBFNNs-based digit recognition system using the incremental-PCA in order to recognize the handwritten digits. The Principal Component Analysis (PCA) is a widely-adopted dimensional reduction algorithm, but it needs high computing overhead for feature extraction in case of using high dimensional images or a large amount of training data. To alleviate such problem, the incremental-PCA is proposed for the computationally efficient processing as well as the incremental learning of high dimensional data in the feature extraction stage. The architecture of Fuzzy Radial Basis Function Neural Networks (RBFNN) consists of three functional modules such as condition, conclusion, and inference part. In the condition part, the input space is partitioned with the use of fuzzy clustering realized by means of the Fuzzy C-Means (FCM) algorithm. Also, it is used instead of gaussian function to consider the characteristic of input data. In the conclusion part, connection weights are used as the extended diverse types in polynomial expression such as constant, linear, quadratic and modified quadratic. Experimental results conducted on the benchmarking MNIST handwritten digit database demonstrate the effectiveness and efficiency of the proposed digit recognition system when compared with other studies.

• Cartoon and Animation Studies
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• s.48
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• pp.271-310
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• 2017

This paper examines the composition and the content of media art which is an art education subject in a national curriculum of Australia; and discusses implications for Korean education curriculums. Media covered by Media Art subject in Australia are the multi types of general media including TV, movie, video, newspaper, radio, video game, the internet, and mobile media; and their contents. The purpose of ACARA's media art education curriculum is to improve creative use, knowledge, understanding, and technology of communication techniques for multiple purposes and the audiences. Through the Media Art subject, both the students and the community are able to participate in the actual communications with the rich culture surrounding them and to develop the knowledge and understanding of the 5 core concepts of language, technology, system, audience and re-creation while testing the culture. The implication of this study is as the following. ACARA's media art education curriculum has been developed as an independent educational program and has a special significance within Australian education curriculums. Although ACARA's media art education curriculum is formed as an independent subject, it is suggested within the curriculum to instruct in close connection with other subjects upon execution. Its organization and elaborateness in curriculum composition are very effective in terms of the teacher's teaching-learning design and as well as the evaluation. This seems to show a good model of leading media literacy curriculum. ACARA's media art education curriculum can be a great reference in introducing media literacy to Korean national education curriculums.

• Korean Security Journal
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• no.17
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• pp.33-51
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• 2008

According to dictionary, the meaning of protection is "guard and protect" that means protecting the Protectee's safety in case of sudden attack or various accident and Security means all protecting activity including Protectee and place where he is in or will be as comprehensively meaning of safe. As you see in the definition, Protection and security is the act to protect or will to protect from a security-threat act. A security-threat act can be discussed in the range of the concept of a criminal act in Criminal Law. A security-threat act is based on criminal act in Criminal Law, we are going to review such a security-threat act in a point of view in a sphere of learning in today's remarkable a brain-neuro science and cognitive science based on cognitive psychology, and to use an analysis on such a security-threat act to make a foundation for a establishment of the scientific preventive social security countermeasure. To do so, First of all we are going to review a security-threat act based on criminal act in Criminal Law in a point of protection police logic view. Next, we are going to introduce how cognitive science understand about act of man before we analyse a threat act as one of an act of man in cognitive science point of view. Finally, we are going to discuss the need of cognitive scientific analyse in order to establish the Scientific Preventive Social-security Countermeasure at the same time we are going to analyse a threat act in a cognitive scientific view.

• Journal of Elementary Mathematics Education in Korea
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• v.10 no.2
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• pp.221-242
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• 2006

For teaching division more effectively, it is necessary to know students' informal knowledge before they learned formal knowledge about division. The purpose of this study is to research students' informal knowledge of division and to analyze meaningful suggestions to link formal knowledge of division in elementary school mathematics. According to this purpose, two research questions were set up as follows: (1) What is the students' informal knowledge before they learned formal knowledge about division in elementary school mathematics? (2) What is the difference of thinking strategies between students who have learned formal knowledge and students who have not learned formal knowledge? The conclusions are as follows: First, informal knowledge of division of natural numbers used by grade 1 and 2 varies from using concrete materials to formal operations. Second, students learning formal knowledge do not use so various strategies because of limited problem solving methods by formal knowledge. Third, acquisition of algorithm is not a prior condition for solving problems. Fourth, it is necessary that formal knowledge is connected to informal knowledge when teaching mathematics. Fifth, it is necessary to teach not only algorithms but also various strategies in the area of number and operation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.4
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• pp.2749-2756
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• 2015

Recently, Depending on the quality of data increases, the problem of time-consuming to process the image is raised by being required to accelerate the image processing algorithms, in a traditional CPU and CUDA(Compute Unified Device Architecture) based recognition system for computing speed and performance gains compared to OpenMP When character recognition has been learned by the system to measure the input by the character data matching is implemented in an environment that recognizes the region of the well, so that the font of the characters image learning English alphabet are each constant and standardized in size and character an image matching method for calculating the matching has also been implemented. GPGPU (General Purpose GPU) programming platform technology when using the CUDA computing techniques to recognize and use the four cores of Intel i5 2500 with OpenMP to deal quickly and efficiently an algorithm, than the performance of existing CPU does not produce the rate of four times due to the delay of the data of the partition and merge operation proposed a method of improving the rate of speed of about 3.2 times, and the parallel processing of the video card that processes a result, the sequential operation of the process compared to CPU-based who performed the performance gain is about 21 tiems improvement in was confirmed.