• Journal of the Korea Society of Computer and Information
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• v.10 no.5 s.37
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• pp.343-352
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• 2005

The existing CAI or web-based science learning system of elementary school has some disadvantages. For instance, it is composed of uniform courses designed by an instructor without considering the learner's characters, and the learner's opinions or questions raised during learning can not be delivered to the system. This structure has diminished the willingness or the motive of the learner and make an adverse effect on the learning efficiency. In this regards, Instruction-Learning System is needed to provide learning environment Pertinent to the learner's individual character and motivate the learner's active attendance and learning. This study is to design a character-based conversational Instruction-Learning System. This may induce the learner's active attendance through the communications between instructor and learner and furnish various learning materials to motivate the learners and attract their consistent interests in learning.

• Journal of The Korean Association For Science Education
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• v.35 no.3
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• pp.363-374
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• 2015

The purpose of this study is to investigate the learning contents presented in high school science and in pre-service science textbooks of college of education, and to examine educational implications for pre-service science teachers by analysing their connection to each other. High school science is called as 'convergence science.' Seven high school science textbooks and eleven science textbooks related to physics, chemistry, biological science, and earth science for pre-service teachers were selected to analyse learning contents. The relationship between high school science with those of college-level science textbooks for pre-service science teachers was found when the learning contents were compared. Science textbooks for pre-service science teachers have the biggest number of learning contents on the chapter 'Energy and Environment' of high school science. About 86.6% of learning contents of high school science were introduced on textbooks on science, but pre-service teachers should learn the remainder. The part of learning contents presented in high school science textbooks was higher than the college-level for pre-service science teachers. Moreover, the part of learning contents was included in Engineering & Technology. And these required a special teacher education. Accordingly, the results suggested that learning contents for high school science should be optimized and reduced. Also, various educational programs should be developed and educational curriculum for pre-service science teachers should be revised.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.750-753
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• 2005

Internet service, a part of our life, requires the changes not only of environment in our life but also of people's sense of value. It also requires a quick change in the spear of education activities without exception. It brought a lot of changes into educational methods, our recognition on education, and various kinds of educational tools and environment. The introduction of WBI (Web Based Instruction) is one of the most important thing. This study have applied WBI to Industrial high school education to improve its quality and accomplish its effective teaching-learning. That is, we have applied CNC(Computerized Numerical Control) and Processing learning to machining center learning and have given students chances and various learning materials so that they could contact with new information. We aimed at testing and studying some effects on the improvements of learning accomplishment and motive in this study.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.335-341
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• 2022

This article is devoted to the study of the process of formation of the digital generation in a distance learning environment. With the introduction of quarantine due to the spread of COVID-19, opponents of digital technologies were forced to turn to relevant resources, while supporters identified new opportunities for the development of didactics and education in general. The irreversibility of the former educational reality became apparent and only the scale of the vision of potential change by interested and disinterested groups differed. Using a comprehensive approach, the authors consider the issues related to the direct and indirect impact of distance learning on children and young people born after the beginning of the XXI century. The article reveals the prerequisites and implications of distance education for the interaction of participants in the educational process. IC technologies during the educational process in the primary grades, in addition to identifying the student's learning deficit, should provide the transmission of non-verbal signals, which are important for children of this age. At the same time in the secondary school IR-technologies are designed to replace frontal learning during the assimilation of knowledge and at the same time not to worsen the quality of the educational process. Formation of students in the HEI takes place in the political science format, constant discussion of problem situations, so the task of introducing IC technology in this process is the accurate transfer of the content of the discussions. Individualization and autonomization of the educational process, its dependence on the results of the choice of educational content, and the use of pedagogical management tools change the philosophy of education for children and youth. The authors conclude that the formation of a digital generation, characterized by an increased level of digital literacy of children and youth, the possession of a certain level of digital capacity requires the use of strategies aimed at optimizing the learning process in a digital educational environment.

• ETRI Journal
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• v.37 no.1
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• pp.77-87
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• 2015

In wireless networks, cooperation is necessary for many protocols, such as routing, clock synchronization, and security. It is known that cooperator nodes suffer greatly from problems such as increasing energy consumption. Therefore, rational nodes have no incentive to cooperatively forward traffic for others. A rational node is different from a malicious node. It is a node that makes the best decision in each state (cooperate or non-cooperate). In this paper, game theory is used to analyze the cooperation between nodes. An evolutionary game has been investigated using two nodes, and their strategies have been compared to find the best one. Subsequently, two approaches, one based on a genetic algorithm (GA) and the other on learning automata (LA), are presented to incite nodes for cooperating in a noisy environment. As you will see later, the GA strategy is able to disable the effect of noise by using a big enough chromosome; however, it cannot persuade nodes to cooperate in a noisefree environment. Unlike the GA strategy, the LA strategy shows good results in a noise-free environment because it has good agreement in cooperation-based strategies in both types of environment (noise-free and noisy).

• Women's Health Nursing
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• v.26 no.1
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• pp.5-9
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• 2020

Artificial intelligence (AI), which includes machine learning and deep learning has been introduced to nursing care in recent years. The present study reviews the following topics: the concepts of AI, machine learning, and deep learning; examples of AI-based nursing research; the necessity of education on AI in nursing schools; and the areas of nursing care where AI is useful. AI refers to an intelligent system consisting not of a human, but a machine. Machine learning refers to computers' ability to learn without being explicitly programmed. Deep learning is a subset of machine learning that uses artificial neural networks consisting of multiple hidden layers. It is suggested that the educational curriculum should include big data, the concept of AI, algorithms and models of machine learning, the model of deep learning, and coding practice. The standard curriculum should be organized by the nursing society. An example of an area of nursing care where AI is useful is prenatal nursing interventions based on pregnant women's nursing records and AI-based prediction of the risk of delivery according to pregnant women's age. Nurses should be able to cope with the rapidly developing environment of nursing care influenced by AI and should understand how to apply AI in their field. It is time for Korean nurses to take steps to become familiar with AI in their research, education, and practice.

• Journal of Korean Elementary Science Education
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• v.31 no.3
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• pp.269-283
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• 2012

The purpose of this study is to further develop the strategies using science magic and investigate the their effects of the instruction on the student's attitude toward science. To do this, a main idea was selected and stages for science teaching methods were developed. Two classes of the 4th grade were selected and instructed. After implementing and using the teaching method, a test and survey were administered to examine the perception of the students and the learning effects of the new science teaching. The results of this study were as follows. First, the strategy for using science magic was developed and applied. For learners, doing science magic was more effective on their own in terms of boosting student's understanding and interest. Also the teacher's modeling was better in terms of presenting the contents. Second, the students' reaction and perception on using the science magic in classes were positive. In the classroom setting, science magic helped the learners understand better and made the learning environment fun. Third, instruction using science magic had a positive effect on student's attitude toward science. Students felt curiosity about science magic. It made them participate better in studying the activity as well. In conclusion, instruction using science magic can be applied to science to education, and the attitudes toward science and learning achievements can be improved.

• Journal of East-West Nursing Research
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• v.23 no.2
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• pp.107-114
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• 2017

Purpose: The purpose of this study is to investigate the influencing factors of self-leadership, academic self-efficacy and instructor-student interaction on self-directed learning in nursing college students. Methods: This study used a descriptive survey design. Participants were 190 nursing college students at three universities in Jeollanam-do and Gyeongsangnam-do. Data were collected from May 10 to June 12, 2016 using self-report questionnaires. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient, and multiple regression with SPSS 19.0. Results: The results showed that the self-leadership of the nursing students was 3.49, academic self-efficacy, 3.17, instructor-student interaction, 3.71, and self-directed learning, 3.43, respectively. Self-directed learning of nursing college students was positively associated with self-leadership(r=.65, p<.001), academic self-efficacy(r=.61, p<.001) and instructor-student interaction (r=.36, p<.001). 001). Self-leadership, academic self - efficacy, major satisfaction, GPA 4.0 or above explained 65% of the total variance in self-directed learning among nursing college students. Conclusions: The findings of this study indicated that nursing interventions for increasing self-leadership, academic self-efficacy and major satisfaction should be developed to improve self-directed learning of nursing students. Additional studies for changes in the overall teaching and learning environment to promote the self-directed learning environment in nursing education should be conducted.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.4
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• pp.11-17
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• 2010

In this paper, we propose a recommendation system for supporting self-directed programming language education. The system is a recommendation system using collaborative filtering based on learners' level and stage. In this study, we design a recommendation system which uses collaborative filtering based on learners' profile of their level and correlation profile between learning topics in order to increase self-directed learning effects when students plan their learning process in e-learning environment. This system provides a way for solving a difficult problem, that is providing programming problems based on problem solving ability, in the programming language education system. As a result, it will contribute to improve the quality of education by providing appropriate programming problems in learner"s level and e-learning environment based on teaching and learning method to encourage self-directed learning.

• Nuclear Engineering and Technology
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• v.54 no.11
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• pp.3985-3995
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• 2022

The emergence of new nanoscale technologies has imposed significant challenges to designing reliable electronic systems in radiation environments. A few types of radiation like Total Ionizing Dose (TID) can cause permanent damages on such nanoscale electronic devices, and current state-of-the-art technologies to tackle TID make use of expensive radiation-hardened devices. This paper focuses on a novel and different approach: using machine learning algorithms on consumer electronic level Field Programmable Gate Arrays (FPGAs) to tackle TID effects and monitor them to replace before they stop working. This condition has a research challenge to anticipate when the board results in a total failure due to TID effects. We observed internal measurements of FPGA boards under gamma radiation and used three different anomaly detection machine learning (ML) algorithms to detect anomalies in the sensor measurements in a gamma-radiated environment. The statistical results show a highly significant relationship between the gamma radiation exposure levels and the board measurements. Moreover, our anomaly detection results have shown that a One-Class SVM with Radial Basis Function Kernel has an average recall score of 0.95. Also, all anomalies can be detected before the boards are entirely inoperative, i.e. voltages drop to zero and confirmed with a sanity check.