• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.55-62
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• 2017

The Named Entity Recognition system is a system that recognizes words or phrases with object names such as personal name (PS), place name (LC), and group name (OG) in the document as corresponding object names. Traditional approaches to named entity recognition include statistical-based models that learn models based on hand-crafted features. Recently, it has been proposed to construct the qualities expressing the sentence using models such as deep-learning based Recurrent Neural Networks (RNN) and long-short term memory (LSTM) to solve the problem of sequence labeling. In this research, to improve the performance of the Korean named entity recognition system, we used a hand-crafted feature, part-of-speech tagging information, and pre-built lexicon information to augment features for representing sentence. Experimental results show that the proposed method improves the performance of Korean named entity recognition system. The results of this study are presented through github for future collaborative research with researchers studying Korean Natural Language Processing (NLP) and named entity recognition system.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.37-48
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• 2017

Recently, the importance of software education is growing because computational thinking of software education is recognized as a key means of future economic development. Also human resources who will lead the 4th industrial revolution need convergence and creativity, computational thinking based on critical thinking, communication, and collaborative learning is known to be effective in creativity education. Software education is also a time needed to reflect social issues such as collaboration with developers sharing interests and open source development methods. Github is a leading social coding site that facilitates collaborative work among developers and supports community activities in open software development. In this study, we apply operational cases of basic learning of social coding sites, learning for storage server with sources and outputs of lectures, and open collaborative learning by using Github. And we propose educational model consisted of four stages: Introduction to Github, Using Repository, Applying Social Coding, Making personal portfolio and Assessment. The proposal of this paper is very effective for software education by attracting interest and leading to pride in the student.

• Journal of Industrial Convergence
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• v.20 no.6
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• pp.93-104
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• 2022

This study was done to identify the factors affecting the problem-solving ability of nursing students who have received online psychiatric nursing practice. The subjects of the study were 280 fourth-grade nursing students. The data were subjected to descriptive statistics, 𝑥²-test, t-test, one-way ANOVA, Pearson's correlation analysis, and multiple regression analysis using the SPSS 24.0 program. As a result of the analysis, the mean of each variable was learning satisfaction 4.03±.70, self-efficacy in learning 5.69±.82, transfer motivation 5.52±.86, and problem-solving ability was 3.65±.41. Learning satisfaction and problem-solving ability (r=.387, p<.001), self-efficacy in learning and problem-solving ability (r=.576, p<.001), transfer motivation and problem-solving ability (r=.536, p <.001) showed a significant correlation. Factors affecting problem-solving ability were gender (𝛽=.11), grade point average (𝛽=.12), motivation of personal major choice (𝛽=-.12), satisfaction of major (𝛽=.13), self-efficacy in learning (𝛽=.36) and transfer motivation (𝛽=.16), and the explanatory power of variables was 41.4%. Based on the results of this study, a follow-up study is required to identify the causal relationship between variables related to problem-solving ability.

• Journal of The Korean Association For Science Education
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• v.42 no.2
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• pp.277-287
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• 2022

This study aims to investigate the main effects and interaction effects of individual variables on the epistemological beliefs of elementary school science teachers. For this purpose, a survey was conducted on 338 elementary science teachers in the metropolitan area on gender, teaching career, and epistemological beliefs. Epistemological beliefs show significant differences not only in gender and teaching career, but also in the interaction between gender and teaching career. Depending on gender, female teachers are more integrated in knowledge than male teachers, and process is more important than outcome in learning. Depending on the teaching career, it was found that high-career teachers generally value the process rather than the results, as knowledge is integrated and constantly evolving, knowledge is acquired by individual reasoning and justified through external interaction. On the other hand, teachers with low career perceive that efforts are indispensable in learning compared to other groups. Depending on the interaction between gender and teaching career, elementary school teachers believe that the higher the teaching career, the more integrated and constantly evolved, but low-career male teachers believed that learning ability was born with experience, while high-career male teachers value the learning process. Based on this study, it is expected that many training sessions aimed at improving the quality of teaching and learning will provide more effective opportunities to develop elementary science teachers' epistemological beliefs, considering teachers' personal characteristics.

• Journal of The Korean Association For Science Education
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• v.44 no.1
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• pp.105-117
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• 2024

The purpose of this study was to explore changes in elementary teachers' modeling pPCK (personal PCK) resulting from knowledge exchange within the realms of PCK described in the Refined Consensus Model (hereafter RCM). For this purpose, a professional learning community (hereafter PLC) was established for three elementary school teachers to facilitate knowledge exchange specifically focused on science modeling instructions. The study then analyzed the CoRe (content representations) written by the research participants twice to explore any changes in modeling pPCK (personal PCK). In addition, the discourse shared by the participants in the PLC and the data from the in-depth interviews were also analyzed using grounded theory research methods. The results of the study showed that there was no significant change in knowledge of the science curriculum in elementary teachers' modeling pPCK, but there were changes in orientations toward teaching science, knowledge of students' understanding in science, knowledge of instructional strategies and representations, and knowledge of assessment of science learning. Furthermore, the analysis of PLC discourse and in-depth interviews showed that modeling instructions reflection (ePCK; enacted PCK) and educational research-based modeling cPCK (collective PCK) influenced these changes in teachers' modeling pPCK. Accordingly, this study suggests recommendations for pedagogical approaches aimed at improving teachers' modeling PCK.

• Hwankyungkyoyuk
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• v.13 no.2
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• pp.51-62
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• 2000

This study examined the current status of school environmental education (EE) in Germany, and attempted to propose strategies to develop school EE in Korea. The study intended to accomplish the following goals: First, this study attempted to examine the developmental process of school EE in Germany. Second, exemplary cases of site-based experiential education in Germany are selected and analysed to develop pedagogical strategies in school EE in Korea. The strategies for development proposed in this study can be summarized as follows: First, the focus of EE should go beyond that of "solving or curing"environmental problems and pollutions, and need to be re-directed to pursue an "education for sustainable development", a new paradigm for future EE. Second, EE should increasingly integrate outdoor site-based, experiential programs into the currently classroom-based and knowledge-driven forms of education, not only to maximize its educational effect but also and knowledge-driven forms of education, not only to maximize its educational effect but also to coordinate the instruction of EE in the context of the educational reform agenda, currently undergoing since the late 1990s, in Korea. Third, teaching-learning materials for EE should be variously developed, and programs should be encouraged to serve local needs and circumstances for effective classroom practices, and criteria for standardization and professionalization should be sought in developing these programs. Fourth, it is recommended that the Ministry of Environment secure funds to facilitate the local school authorities at the municipal and provincial levels to operate a mobile environmental support system, equivalent to the function of the "Lumbricus"in Germany. Fifth, an external support network should be established among the support agencies for EE. Especially, a professional agency or institute to academically support school EE and a special planning committee for enhancing EE need to be established for resource and personal development. Parents′voluntary participation should also be encouraged to establish a tripartite network of "school-community-government" to support and facilitate school EE.

• Journal of the Korean Society of Earth Science Education
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• v.1 no.1
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• pp.85-98
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• 2008

Though the investigation of the suggested references proverbs related weather were collected and considered the probability of the usage on science instruction. The results are as follows. 130 proverbs related to weather were collected through the investigation of the suggested references. Most of weather proverbs are based on the states of sky, clouds, wind, precipitation, actions of animal, states of plants and the condition of people in daily life. they were classified according to weather types, natural phenomena and seasons. According to the results of analysing the students' recognition and interests on weather proverbs, most of students heard weather proverbs in their elementary school years firstly through their parents, books, and teachers. However they have only heard a few. Also many students also tend to think weather proverbs have a scientific base because weather proverbs have been told by many people through the ancient time and correspond to their personal experiences. Students responded that weather proverbs are useful for science learning on weather and can teach heritage and wisdom. After reading the suggested weather proverbs, their interests on weather proverbs were increased more than before reading. This is one of reasons why weather proverbs can be introduced to science classes. Weather proverbs were considered related to science curriculum. The third grade has a Unit "Fine days and Cloudy days", the fifth grade, "Unit of Weather Change", the Sixth grade, "Unit of Weather Forecast" , the Ninth grade, "Unit of Water cycle and Weather Change" and the tenth grade has "Unit of Earth". So the author consider that weather proverb materials can be used so effectively to bring about interest and motive in science learning.

• Journal of the Korea Society of Computer and Information
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• v.17 no.3
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• pp.77-83
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• 2012

As web pages provide various services, the distribution of malware via the web pages is being also increased. Malware can make personal information leak, system mal-function and system be zombie. To protect this damages, we should block the malicious web pages. Because the malicious codes embedded in web pages are obfuscated or transformed, it is difficult to detect them using signature-based approaches which are used by current anti-virus software. To overcome this problem, we extracted features to classify malicious web pages and benign ones by analyzing web pages. And we propose a classification method using SVM which is widely used in machine learning. Experimental results show that the proposed method is better than other methods. The proposed method could classify malicious web pages correctly and be helpful to block the distribution of malicious codes.

• The Journal of Korean Association of Computer Education
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• v.10 no.6
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• pp.11-18
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• 2007

The proposed virtual laboratory system for digital logic circuits is composed of two main sessions, which are concept-learning session and virtual experiment session by virtual digital kit. During concept-learning session the learners can easily understand the important principles in the digital circuits to be performed. In addition, during virtual laboratory session the virtual experiments are performed by assembling and connecting the circuits on the virtual bread board, applying input voltages, making the output measurements, and comparing and transmitting the virtual experimental data. Every activity done during the virtual laboratory session is recorded on database and will be provided with the learners as a preliminary report form including personal information. Thus, the educators may check out the submitted preliminary report to estimate how well the learners understand the circuit operations. Finally, in order to show the validity of our virtual laboratory system we investigated and analysed the damage rate of real experimental equipment during class and assessed student performance on the five quizzes for one semester.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.19-30
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• 2021

Diabetes Mellitus (DM) is one of common chronic diseases leading to severe health complications that may cause death. The disease influences individuals, community, and the government due to the continuous monitoring, lifelong commitment, and the cost of treatment. The World Health Organization (WHO) considers Saudi Arabia as one of the top 10 countries in diabetes prevalence across the world. Since most of the medical services are provided by the government, the cost of the treatment in terms of hospitals and clinical visits and lab tests represents a real burden due to the large scale of the disease. The ability to predict the diabetic status of a patient without the laboratory tests by performing screening based on some personal features can lessen the health and economic burden caused by diabetes alone. The goal of this paper is to investigate the prediction of diabetic and prediabetic patients by considering factors other than the laboratory tests, as required by physicians in general. With the data obtained from local hospitals, medical records were processed to obtain a dataset that classified patients into three classes: diabetic, prediabetic, and non-diabetic. After applying three machine learning algorithms, we established good performance for accuracy, precision, and recall of the models on the dataset. Further analysis was performed on the data to identify important non-laboratory variables related to the patients for diabetes classification. The importance of five variables (gender, physical activity level, hypertension, BMI, and age) from the person's basic health data were investigated to find their contribution to the state of a patient being diabetic, prediabetic or normal. Our analysis presented great agreement with the risk factors of diabetes and prediabetes stated by the American Diabetes Association (ADA) and other health institutions worldwide. We conclude that by performing class-specific analysis of the disease, important factors specific to Saudi population can be identified, whose management can result in controlling the disease. We also provide some recommendations learnt from this research.