• Journal of Educational Research in Mathematics
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• v.26 no.1
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• pp.143-157
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• 2016

This study aims to find out the feasibility and effectiveness of mathematical games as a way to provide primary pre-service teachers with doing mathematics. The game had induced the active participation of elementary pre-service teachers. Through transforming the game, the teachers have been able to experience of mathematical problem posing and generating mathematical representation. Based on this, we discuss the role of mathematical games as a method of pre-service teacher education.

• English Language & Literature Teaching
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• v.13 no.1
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• pp.261-282
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• 2007

The purpose of this study is to investigate American traditional values and American culture in English education. The understanding of American culture in English education requires the analysis of world changes in the global age. The history of American English, the formation of American society, and the background of natural environment are described in relation to the traditional American values of the earliest settlers, such as multi-culture, individual freedom, frontier heritage in the West, equality of opportunity and wealth and material abundance. Hence the case studies of students' project presentations on the American culture in English education exemplify the reflection of American traditional values in the current American life and society. It is concluded that project-based method with regard to cultural studies in English education reveals very positive learning effects by driving students' interests and active participation through the student-centered, creative, and cooperative project presentations.

• Journal of the Korean Society for Precision Engineering
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• v.15 no.4
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• pp.15-26
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• 1998

Full car model is needed for investigating as a entire dynamics of vehicle. In this study, 7DOF of full car model's dynamics is selected. This paper proposes the output feedback controller based on optimal control theory. Input data and output data from the optimal controller are used for neural network system identification of the suspension system. To do system identification, neural network which has robustness against nonlinearities and disturbances is adapted. This study uses back-propagation algorithm to train a multil-layer neural network. After obtaining a neural network model of a suspension system, a neuro-controller is designed. Neuro-controller controls suspension system with off-line learning method and multistep ahead prediction model based on the neural network model and a neuro-controller. The optimal controller and the neuro-controller are designed and then, both performances are compared through. For simulation, sinusoidal and rectangular virtual bumps are selected.

• Journal of The Korean Association For Science Education
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• v.25 no.1
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• pp.26-40
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• 2005

Based on the Vygotskian perspective that a learner's thinking is constituted in his or her talk and the assumption that student talk in the classroom may occur in more than one way, this study examined discursive practices of students in Korean high school science classrooms. Data came from $11^{th}$ grade earth science classrooms where the Group Investigation (GI) method was implemented. Data source included verbatim transcripts developed from video recordings of class sessions in which students presented their science projects to the whole class and exchanged questions and answers during the presentations. The analysis of the videotape transcripts revealed five different modes of student talk, including 1) retrieving information, 2) reformulating information, 3) building on one's own experience, 4) elaborating current understanding, and 5) negotiating meanings with others. Considering that each of the five modes had different value for learning science, it was recommended that the teacher should engage students in more active modes of discourse and guide them into more sophisticated understanding of science.

• School Mathematics
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• v.4 no.2
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• pp.223-236
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• 2002

Researchers have started to conduct comparative studies of mathematics education in South and North Korea. Most of these studies have a tendency to compare with the curriculum of South and North Korea in the macroscopic standpoint. But microscopic comparative studies on each topic of school mathematics have not been attempted yet. Microscopic studies as well as macroscopic studies are required to prepare for unification the curriculum of South and North Korea. This paper attempts to compare the contents related pythagorean theorem which is dealt with in secondary school mathematics textbook of South and North Korea. Through this study, meaningful differences between textbooks are founded and some implications are obtained. Specially, 'cutting off and rearranging' method needs to be taken into consideration for active learning. Also the construction of the figure using the pythagorean theorem needs to be dealt with in order to develop the logical thinking.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.35 no.9
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• pp.380-387
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• 1986

We have developed a dual control algorithm by means of innovations approach and established the stability of dual by introducing the pole-placement method suggested by Berger on the non-dual control. The dual controller realizing this algorithm decreases control loss sharply when compared with that of a non-dual controller, and shows the characteristics of suppressing the output deviation in transient state effectively. The total control energy and the accumulated square misdistance of this dual controller are shown to be 1-10% and 0.1-10% of those of CE control, respectively. Consequently this controller solves the non-minimum phase problem encountered when discretizing the system equation, and can be used to overcome the uncertainty of system effectively by adjusting the learning rate of the controller.

• Fourth Industrial Review
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• v.4 no.1
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• pp.29-36
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• 2024

Purpose: This study is a prior study for expanding the science museum's online services. Based on case studies, we propose an online service for science museums in the future. Research design, data, and methodology: This study analyzed online-based science museums services trends. The data was collected based on the cases of five national science museums. To understand the characteristics of science museum's online services, we analyzed the status of digital content provided by each science museum and the operation method of online special exhibitions. Result: The national science museums provided online services through virtual science museums, SNS, and YouTube. However, the services still imposed limitation on facilitating active learning for visitors. In the case of SNS and YouTube, it is only a one-time promotional tool. Conclusion: This study suggests the need for concrete measures to utilize the abundant content accumulated so far in actual education. Additionally, it emphasizes the importance of content development incorporating new platforms.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.6
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• pp.44-55
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• 2009

Diagnosis of diseases using gene expression data obtained from microarray chip is an active research area recently. It has been done by general machine learning algorithms, because it is difficult to analyze directly. However, recent research results about the analysis based on the interaction between genes is essential for the gene expression analysis, which means the analysis using the traditional machine learning algorithms has limitations. In this paper, we classify the gene expression data using the hyper-network model that considers the higher-order correlations between the features, and then compares the classification accuracies. And also, we present the new hypo-network model that improve the disadvantage of existing model, and compare the processing performances of the existing hypo-network model based on general sequential processor and the improved hypo-network model implemented on parallel processors. In the experimental results, we show that the performance of our model shows improved and competitive classification performance than traditional machine learning methods, as well as, the existing hypo-network model. We show that the performance is maximized when the hypernetwork model is implemented on our parallel processors.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.604-614
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• 2020

Contemporary Christian educators emphasize that the student has to become not a passive beneficiaries of knowledge, but an active subject for self-directed learner to pursue a Bible training. In addition, learning environments need to be converted into a learning place in which students can learn the principles of the Word, taste its meaning, and apply them into the scene in their lives. This study is to investigate new possibilities of self-directed volunteer camp, developing it as an alternative program for summer retreat and evaluating its effectiveness. According to qualitative research findings. self-directed volunteer camp provide for the youth students to develop their leadership as well as their faith. Especially, the higher effect of self-directed volunteer camp was found on program satisfaction, promoting cooperation through real problem-solving, and internalizing of the faith. Therefore, self-directed volunteer camp for vacation Bible church programs can be expected as an alternative teaching method for church education in the 21st century.

• Journal of Information Technology Services
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• v.19 no.2
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• pp.109-124
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• 2020

Facing the 4^th Industrial Revolution era, researches on artificial intelligence have become active and attempts have been made to apply machine learning in various fields. In the field of finance, Robo Advisor service, which analyze the market, make investment decisions and allocate assets instead of people, are rapidly expanding. The stock price prediction using the machine learning that has been carried out to date is mainly based on the prediction of the market index such as KOSPI, and utilizes technical data that is fundamental index or price derivative index using financial statement. However, most researches have proceeded without any explicit verification of the prediction rate of the learning data. In this study, we conducted an experiment to determine the degree of market prediction ability of basic indicators, technical indicators, and system risk indicators (AR) used in stock price prediction. First, we set the core parameters for each financial indicator and define the objective function reflecting the return and volatility. Then, an experiment was performed to extract the sample from the distribution of each parameter by the Markov chain Monte Carlo (MCMC) method and to find the optimum value to maximize the objective function. Since Robo Advisor is a commodity that trades financial instruments such as stocks and funds, it can not be utilized only by forecasting the market index. The sample for this experiment is data of 17 years of 1,500 stocks that have been listed in Korea for more than 5 years after listing. As a result of the experiment, it was possible to establish a meaningful trading strategy that exceeds the market return. This study can be utilized as a basis for the development of Robo Advisor products in that it includes a large proportion of listed stocks in Korea, rather than an experiment on a single index, and verifies market predictability of various financial indicators.