• Journal of the Korea Society of Computer and Information
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• v.10 no.5 s.37
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• pp.77-86
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• 2005

In this paper, we designed a learning algorithm of LVQ that extracts classification errors and learns ones and improves classification performance. The proposed LVQ learning algorithm is the learning Networks which is use SOM to learn initial reference vectors and out-star learning algorithm to determine the class of the output neurons of LVQ. To extract pattern vectors which cause classification errors, we proposed the error-cause condition, which uses that condition and constructed the pattern vector space which consists of the input pattern vectors that cause the classification errors and learned these pattern vectors , and improved performance of the pattern classification. To prove the performance of the proposed learning algorithm, the simulation is performed by using training vectors and test vectors that are Fisher' Iris data and EMG data, and classification performance of the proposed learning method is compared with ones of the conventional LVQ, and it was a confirmation that the proposed learning method is more successful classification than the conventional classification.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.1
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• pp.9-14
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• 2018

In this paper, I introduce web 2.0 tool with which cooperative learning is possible based on C4LPT, and suggest educational application plan of web 2.0 tool by offering briefly the teaching-learning process plan for application class of web 2.0 tool. The class through the suggested teaching-learning process plan encouraged participation so that the common goal of a small group could be achieved and provided a web base where free communication could be possible. Futhermore, by using the collaboration space of web 2.0 tool, I could attract learners' study interest and maintain learning atmosphere. Based on teaching-learning process plan, I have taught university freshmen from 2012 to the present, and I could confirm the possibility of education application and the satisfaction of education application of web 2.0 tool through students' learning results and a survey.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.6
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• pp.25-32
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• 2012

In this paper, we proposed a development of M-learning smart-trainer content for improving the learning ability of military education. Learners of time and space constraints beyond quickly and accurately can learn with the goal, each subject by partial learning, and repetition, the whole learning quickly and easily by selecting efficiently to help you learn a m-Bizmaker with applications was designed. Experiment targets the military company of two, first aid courses were conducted for the evaluation. Traditional collective comparison group teaching methods, the proposed content, teaching methods applied in the experimental group were selected. The proposed learning applications using smart instructor for verification of learning, with which to compare, test subjects were compared with each of 49 subjects, the results p<.005 level, there was difference among the two groups. Therefore, the proposed application using a smart trainer after class proved that contribute to improving achievement.

• Journal of The Korean Association of Information Education
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• v.8 no.2
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• pp.167-176
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• 2004

Due to the development of information communication technology, educational environment has undergone much change and various types of teaching and learning methods based on information communication technology has been suggested. Recently, remote education using the internet are also spreading. However, in current classrooms, students are asked to do an teacher-centered assignment, which they are required to collect and report some information using the internet. This method does not help students use the advantages of learning using the internet, which stimulate students-students interaction and teacher-students interaction.Thus, this study focused on the problem-based learning system based on video communication technology. The researcher designed the problem-based learning system based on video communication technology and applied the system to classes at elementary school. The results were analyzed in terms of students-students interaction and teacher-students interaction in the internet. This research found that the problem-based learning system stimulates teacher and students communication and has positive effects on students' attitude and interest in learning. This research proposes that the traditional teacher-centered teaching method can be supplemented with cyber space learning, which has the merit of problem-based learning model.

• The Journal of Korean Association of Computer Education
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• v.21 no.3
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• pp.35-50
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• 2018

Online dashboard is designed to support learners' self-regulation of their learning process and activities to promote learner-centered learning. Given the dashboard usually provides information within a limited space, it is important to define which information should be presented in order to meet the various needs of online learners. We analyzed relevant literature, existing dashboards, and learners' dashboard experiences, and identified a list of information that should be provided by the dashboard. As a result, four categories including learning preparation, learning participation, interaction, and learning outcomes, and eleven sub-categories of dashboard information were extracted. The results suggest implications for the design of online dashboard for learner-centered learning.

• Journal of Convergence for Information Technology
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• v.10 no.8
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• pp.161-172
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• 2020

The purpose of this study is to compare students' perception shaped by two different university classrooms: Traditional Classroom and ALC(Active learning classroom). We conducted survey of 71 university students who were taught by an identical instructor using same pedagogy. The survey questionnaires asked respondents about their perceptions on teaching and learning and physical environments relations, teaching proficiency, social context, student satisfaction and immersion. The data was analyzed using Student's T-test. The results showed that ALC group, compared to the traditional classroom group, demonstrated statistically higher awareness on teaching and learning and physical environments relations, teaching proficiency, and instructor-student unofficial relations. Based on these findings, implications and limitations of this study were discussed.

• The Journal of Sustainable Design and Educational Environment Research
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• v.19 no.3
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• pp.38-47
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• 2020

This study analyzed the perceptions of teachers to establish the direction for managing the space outside an elementary school. Satisfaction with outdoor school spaces is influenced by the satisfaction with tree and flower plantation and outdoor rest spaces. This study found that the longer the working years of a teacher, the higher their awareness of the importance and necessity of outdoor spaces in the school. Respondents emphasized the lack of manpower and budget, as well as the indifference of the administration as hindrances to the management of outdoor spaces in the school. The outdoor space in the school should include a secure play area, plant education space, class practice spaces, and a rest area. Furthermore, the space outside the elementary school should support learning, playing, and resting. To this end, facilities such as benches, pergolas, outdoor classrooms, ecological ponds, farms, and flower beds should be provided. In an outdoor space, plants featured in textbooks, seasonal plants, and those that provide shade can be planted along with labels to provide information and thereby promote learning. The teachers expected that the management of the external space will have an educational and emotional effect on students. In response to the innovation of the school spaces, it is necessary to continuously manage the external spaces to achieve educational and emotional effects by organically connecting the outdoor spaces with the indoor space. For this purpose, it is required to provide support for securing budgets and manpower, and to introduce relevant policies.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.4
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• pp.628-641
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• 2012

This research investigates a dynamic mechanism underlying the co-evolution between network and space by applying hype-curve model, typical phenomenon which shows how new technologies and ideas initially adapted in the society. This study analysis the knowledge intensive industry of digital contents using social network analysis (SNA) in terms of structural, spatial, and temporal aspects, year of 2000, 2005, and 2010 focused on Seoul area. First of all, network and space establish 'inter-feedback' as a result of evolution and differentiation process. Second, it happen temporal 'delay' through the learning process stage of 'peak of inflated expectation' and 'trough of disillusionment.' As a result, Seoul develops with the technology commercialized-orient strategy affect government policy. This trend changes to technology-oriented development in Seoul area in the late of 2000 established 'self-organization' with geographical proximity organizations through learning process.

• Tunnel and Underground Space
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• v.30 no.5
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• pp.433-445
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• 2020

Professional TBM Operator is in short supply worldwide, and insufficient construction experience of new personnel using TBM can lead to a decline in response capabilities when various construction risks occur. The fact that the TBM construction quality greatly depends on the skill and experience of the TBM operator, and the decrease in productivity due to insufficient skilled manpower, and the decrease in safety due to the decrease in skill level are frequently discussed problems in the TBM industry. To this end, several overseas companies and organizations have developed simulators, and a simulator is being developed in Korea. The International Tunneling Association is planning a comprehensive training, including classroom training, e-learning, simulator training and field training. Given the progress at home and abroad, TBM driver training and formal recognition of training through certification or licensing is expected to become the norm in the near future.

• Journal of The Korean Astronomical Society
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• v.45 no.2
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• pp.31-38
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• 2012

In this study we apply Support Vector Machine (SVM) to the prediction of geo-effective halo coronal mass ejections (CMEs). The SVM, which is one of machine learning algorithms, is used for the purpose of classification and regression analysis. We use halo and partial halo CMEs from January 1996 to April 2010 in the SOHO/LASCO CME Catalog for training and prediction. And we also use their associated X-ray flare classes to identify front-side halo CMEs (stronger than B1 class), and the Dst index to determine geo-effective halo CMEs (stronger than -50 nT). The combinations of the speed and the angular width of CMEs, and their associated X-ray classes are used for input features of the SVM. We make an attempt to find the best model by using cross-validation which is processed by changing kernel functions of the SVM and their parameters. As a result we obtain statistical parameters for the best model by using the speed of CME and its associated X-ray flare class as input features of the SVM: Accuracy=0.66, PODy=0.76, PODn=0.49, FAR=0.72, Bias=1.06, CSI=0.59, TSS=0.25. The performance of the statistical parameters by applying the SVM is much better than those from the simple classifications based on constant classifiers.