• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.197-207
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• 2021

According to the analysis of Kolb's learning style, Korean university student pilots interpret and attach meaning to themselves. Moreover, as the school year progresses, they enter the flight-training course with a 100 % diverger style, which is a variety of thoughts and imaginative learning styles. As the school year progresses, some changes occur with accommodator (11.1%) and assimilator (15.9%) styles. On the other hand, most students remain as the diverger style (71.4%). In the case of U.S. student pilots, most in first-year are assimilator (35.5%) and converger (24.3%) styles, and the proportion of the converger style increases as the senior year is approached. In the first grade, most Chinese student pilots are assimilators (41.5%) and convergers (28.4%), but in the higher grade, the proportion of assimilators and convergers decrease, and the proportion of diverger styles increases dramatically. In the fourth grade, the accommodator was similar to the first grade, but the converger style continued to decrease (41.5% in the first grade and 27.0% in the fourth grade).

• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.293-302
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• 2012

The purpose of this study was to identify the effect of human patient simulator(HPS)-based education on self-directed learning(SDL) and collective efficacy(CE) for nursing students. This study design was one group pre-posttest. The subjects were 2nd grade 92 students enrolling in the integrated practice. They have no previous experience of HPS-based education. HPS-based education included team based learning, skill training, taking a high-fidelity simulation with Medical Education Technologies, Inc (METI) simulator and being debriefed during 12 weeks. The pretest and posttest were conducted to understand the improvement in SDL and CE. After the subjects had participated in the HPS-based education, they showed statistically significant higher SDL(t=4.24, p=0.000) than before. However, there was no significant change in CE. Based on the results, this study suggests that SDL for nursing students were significantly improved by HPS-base education.

• Journal of Broadcast Engineering
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• v.23 no.5
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• pp.642-655
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• 2018

Occupancy sensors installed in buildings and households turn off the light if the space is vacant. Currently PIR(pyroelectric infra-red) motion sensors have been utilized. Recently, the researches using camera sensors have been carried out in order to overcome the demerit of PIR that cannot detect stationary people. The detection of moving and stationary people is a main functionality of the occupancy sensors. In this paper, we propose an on-line human occupancy tracking method using convolutional neural network (CNN) and self-organizing map. It is well known that a large number of training samples are needed to train the model offline. To solve this problem, we use an untrained model and update the model by collecting training samples online directly from the test sequences. Using videos capurted from an overhead camera, experiments have validated that the proposed method effectively tracks human.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.477-485
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• 2018

The aim of this study was to improve the 'self-directed learning ability and attitudeselementary school students by applying a brain education-based learning program based on brain science in the form of a short term camp in consideration of the elementary school students' brain characteristics and mechanisms. For this purpose, this study was conducted on 4, 5, and 6 elementary school students in Korea. The brain training based learning camp program was conducted for two nights and three days. The camps were conducted twice from February 3 to 5, 2017 with 45 students from grade 6 and from February 22 to July 24, 2017, with 56 students from grades 4 and 5, 101 students in total. The conclusions of this study are as follows. The brain education-based learning camp program was found to be effective in improving the elementary school students' self-directed learning ability and learning attitude. First, the brain education-based learning camp program can increase the learning concentration through brain gymnastics, breathing, and meditation. Second, brain training called 'Brain Screen' among the brain education-based learning camp program can improve the brain ability of memory. Third, it can establish a self - directed learning philosophy of 'My study is done by me' by giving reason and motivation to study through the brain education-based learning camp program.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.2
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• pp.215-225
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• 2020

This study was performed to identify the education and training characteristics and the educational performance of the incumbent. For the enterprise in the rapidly changing market environment, the human resources is an important factor to secure the market competitiveness, and the enterprise promotes the development of competence and the corporate performance through the education and training. However, in spite of such effort, the continuously increasing turnover rate and the low utilization rate of educational contents make the enterprises to hesitate the investment in the education and training. Although, the researchers are conducting lots of researches on the characteristics and the performance of the education and training, the research focusing on the characteristics and the field utilization of the education and training is not sufficient due to such reasons, Therefore, this study intended to draw the factors of education and training characteristics through existing researches and find out what impact they have actually on the utilization in business by the incumbents through the organizational commitment. In the results of this study, it was shown that the self-efficacy do not have impact on the organizational commitment, the appropriateness of instructor ability has positive (+) impact on the continuous commitment and the emotional commitment, and the work correlation has negative impact on the continuous commitment and the emotional commitment. These results seems to mean that the importance of the instructor ability and the educational program should be increased and it is intended to provide the basic data for the education-related personnel and the related enterprises.

• The Journal of Korean Association of Computer Education
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• v.17 no.3
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• pp.85-99
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• 2014

Recently youth problems such as school violence and bullying are becoming increasingly lower age. In order to overcome this situation highlights the importance of education and the emotions, which in analyzing the existing mobile app, only the most fun-oriented approach has been made and the information presented. It focuses on the emotion awareness and empathy abilities of learners diagnosis, training, application can be made at the level of educational mobile app prototype was developed. First, self-understanding, self-expression, others-understanding, and empathy of emotional competency derived from review of emotional awareness skills training programs. Second, by analyzing the existing emotion recognition app macro-principles and micro-strategy of mobile app's designs were derived. Third, accordi was conducted on prototype of storyboard and app the completed prototype was completed. The proposed app is a fun and learning by doing, also Depending on students' level of performance can be customized. The proposed mobile app is efficient and effective, engaging learning space as a systematic training in the diagnosis and the emotions through the elementary students will be able to improve emotional awaeness competency.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.10
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• pp.1341-1347
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• 2020

Legacy studies for classifying arrhythmia have been studied in order to improve the accuracy of classification, Neural Network, Fuzzy, Machine Learning, etc. In particular, deep learning is most frequently used for arrhythmia classification using error backpropagation algorithm by solving the limit of hidden layer number, which is a problem of neural network. In order to apply a deep learning model to an ECG signal, it is necessary to select an optimal model and parameters. In this paper, we propose parameter extraction based on AR and arrhythmia classification through a deep learning. For this purpose, the R-wave is detected in the ECG signal from which noise has been removed, QRS and RR interval is modelled. And then, the weights were learned by supervised learning method through deep learning and the model was evaluated by the verification data. The classification rate of PVC is evaluated through MIT-BIH arrhythmia database. The achieved scores indicate arrhythmia classification rate of over 97%.

• Korean Security Journal
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• no.13
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• pp.471-485
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• 2007

This study is performed to find out what type instructions are produced to players by coaches and what effects are resulted in cooperative spirit of the concerned group. Furthermore the study has its aims at advancing instructors' skills by using finding of it. The study used 'SPSS 11.0 FOR WINDOW - Statistical Package' to analyze the collected samples and dealt with data of 174 individuals. Statistical analysis of the research for hypothesis verification was about frequency, trust level, mutual relationship, variables, and T-verification. The meaningful level for any result was ranged within 95%(p< .05), 99%(p<.01). The finding are as follows. Effects on pleasure, one of elements of team spirits taken by instructor's training style are analyzed as follows. It was proved to be meaningful in relation with a series of activities like training, democratic, social, compensatory aspects and showed also considerable relation with power based behaviors. That says, players are found to enjoy high pleasure when social and bureaucratic behaviors of instructors are very energetic. In addition to that, training, democratic, and compensatory activities didn't show any meaningful effect. Team spirit was found to play a main role between instructor's behaviors and training, democratic, social rewarding activities. Democratic and social acts influence on team spirit. Looking into the detailed aspects, team spirit was resulted very high in the individuals with low democratic mind and was shown high group spirit by groups with high sociable activities. Teamworks was found to be affected by relation between instructor's acts and training, democratic, social and compensatory aspects and it showed meaningful relations with training, social, bureaucratic behaviors. Low degree of training and bureaucratic activities are found to prefer for power team spirit, and high social activities led a strong teamworks. Group binding spirit was influenced by training, democratic, social compensatory, bureaucratic behaviors and it showed to give effects on democratic, social, and bureaucratic activities of instructors. Low degree of democratic and bureaucratic behaviors are found to produce strong team spirit. In contrast with that, strong social activities was found to be motive of powerful team spirit. Value of team spirit was found to play a main role between instructor's behaviors and training, democratic, social, rewarding activities. It didn't show any meaningful effect on behavior of instructors.

• 전자공학회논문지 IE
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• v.48 no.1
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• pp.36-44
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• 2011

The purpose of this study was to develop the basic design principles for the engineering mathematics teaching model that supported college students to become collaborative problem solvers. For this purpose, the following four design principles were drawn from the steps of systems approach, especially with consideration of needs of engineering students, professors, curriculum and relevant research on mathematical education. As a result, the four design principles for the engineeering mathematics teaching model were drawn as follows: (1) Improve students' basic mathematical learning abilities through repetition and elaborative practice of the basic mathematical concepts and principles, (2) Develop students' problem solving abilities through collaborative projects or learning activities with peers, (3) Facilitate students' reflection and provide teacher's monitoring and prompt feedback during their learning process, and (4) Build up online learning environments that enable students to become self-regulated learners.

• Journal of the Korea Society for Simulation
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• v.32 no.4
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• pp.27-39
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• 2023

This study aimed to develop SSTPBL (Student-led Simulation with Team and Problem-Based Learning), whichcombines TBL and PBL with a student-led method to strengthen knowledge application, nursing diagnosis ability, and collaboration ability among the core competencies of nurses. Then, SSTPBL was applied to nursing students, and the results were assessed. The data was collected from September 15, 2022, to December 21, 2022, with structured questionnaires and focus group interviews with 51 fourth-year nursing students at a university in A City. The collected data were analyzed using SPSS version 25.0 and topic analysis. As a results, it was effective in simulation experience satisfaction(t = 3.51, p < .01), vSim experience satisfaction(t = 3.50, p < .01), preparation as a prospective nurse(t = 3.73, p < .01), learning self-efficacy(t = 3.87, p < .01), collaborative self-efficacy (t = 4.30, p < .01), problem-solving ability(t = 5.26, p < .01), educational satisfaction(t = 3.54, p < .01), digital health equity(t = 2.18, p < .05). Through the qualitative data's topic analysis, six main topics were derived. The main topics were 'similar to clinical practice', 'difficulty in immersion', 'learning through others', 'learning through self-reflection', 'improving confidence through new experiences' and 'new teaching methods'. Based on the results of this study, it is expected that SSTPBL can be used in various ways as a new training method for prospective nurses in the face of growing clinical practice restrictions after the pandemic.