• The Journal of Korean Association of Computer Education
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• v.14 no.1
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• pp.137-146
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• 2011

Edward de Bono's six thinking hats is effective to increase the excellence of the thinking and cultivate divergent thinking. In particular, this method is effective in finding a reasonable solution through analyzing issue from a variety of perspective. In this paper, we developed the system for an effective debate learning that student's own ideas based on six thinking hats are shared and expressed in speech and images through Android devices sensors. We analyzed the tools and guidelines by making design structural model for system design. The developed system was evaluated by the teacher through demonstration and practice and we analyzed through evaluation results the effectiveness and the improvement of the system. The evaluation results were analysed that the developed system is more effective improve motivation and debate ability than web based debate learning system.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.65-71
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• 2018

The purpose of this study is to examine the perception of the right to vote of persons with developmental disabilities in college students. College students attending in A University and B University in Gwangju Metropolitan City were selected using convenience sampling and 370 samples were finally analyzed. The results were as follows. First, the subjects who took a disability course had high perception of the right to vote of persons with developmental disabilities. Second, it was discovered that the more times people participated in the volunteer work related to disabilities, the more recognition they had on the voting rights of people with developmental disabilities. Third, the subjects who responded for the need for the political rights of persons with developmental disabilities had more positive perception of the right to vote of persons with developmental disabilities than those who did not responded. Based on the findings, it was suggested that methods should be investigated to establish positive attitude and perception of the right to vote of persons with developmental disabilities in persons without developmental disabilities including college students.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.26 no.2
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• pp.112-116
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• 2015

Background and Objectives : Aerodynamic analysis is an examination which provides information regarding various vocalization measures indicating laryngeal efficiency. Voice evaluation using such examination must be capable of distinguishing between normal to abnormal voice. It also observes variables on aerodynamic characteristics by gender in regards to patients of vocal disorders, especially of vocal cord paralysis and vocal polyp, and compares the conditions before and after surgery. This paper therefore, seeks to build a framework for establishing standard levels of aerodynamical characteristic on vocal disorders. Subjects and Methods : The study was intended for a total number of 20 patients with vocal polyp or unilateral vocal cord paralysis. Those with the vocal polyp underwent laryngomycroscopy surgery and the vocal cord paralysis, vocal fold injection using Restylane. Aerodynamic analysis fulfilled the Maximum sustained Phonation (MXPH) and Voicing Efficiency (VOEF) by using PAS Model 6600 (KayPENTAX, USA). Results : In MXPH, increase in PHOT were evident with vocal polyp after surgery. As for patients with vocal cord paralysis, MAXDB, MEADB, DHODB, PHOT all have increased and MEAP, PEF, MEAF decreased after surgery. In VOEF, patients with vocal cord paralysis who underwent surgery showed increase in MAXDB, MEADB, DHODB, FET100, ARES, but decreases in PEF, TARF. Conclusion : Overall, it can be concluded that patients with the vocal polyp and vocal cord paralysis seemed to get closer to the normal values after than before surgery in majority of measures. This confirms that the function of their vocal cord has improved nearly to normality through operations.

• The Journal of the Korea Contents Association
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• v.15 no.2
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• pp.529-541
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• 2015

Collaborative learning of collective intelligence-based model is also ideal in higher education did not yet consensus still in the theoretical level. To become collective intelligence-based collaborative learning is to mobilize the competence of the various members should be promoted as much as possible with their own services designed to actively participate in and contribute to the goals of the joint. Is still based collaborative learning model of collective intelligence, which does the actual model is not developed in education is a key program in creative fusion judge called talent. The evolution of the main features of the house just in shaping the content of a modern lecture geureohagi need to check from time to time to see and pay attention. As part of this study, attempts were associated with the tvN planning and attention to trying connector Executive Lecture show "Creative Club 199" content. Well oriented intention to converge the needs of the times, but it is even more compelling naeeotda implement the collective intelligence based on 'how' the reality is that together with the participants.

• Journal of the Korea Convergence Society
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• v.6 no.2
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• pp.25-30
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• 2015

The purpose of this study was to analyze the factors that affects the participating in a smoking cessation program. Data were from the A Study on the Seoul Welfare Panel Study 2010. Subjects were 1,326 smokers aged 19 and older living in the community. Dependent variable was defined as experience of smoking cessation. Explanatory variables were included as age, gender, level of education, employment status, household income, marital status, drinking, self-reported health status, depression, disease, and physical activity. A prediction model was developed by the use of a Decision Tree and Neural Network Algorithm. In the Prediction model, self reported health status, disease, income, household income were significantly associated with participating in a smoking cessation program. Based this study, systematic education and development of programs are required.

• Journal of the Korea Society of Computer and Information
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• v.24 no.10
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• pp.233-242
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• 2019

At present, our society is reducing the birth rate, and the school population is decreasing, but multicultural students are facing the increasing social phenomenon. We all need to make sure that bilingual teaching and learning is effective for children of multicultural families who need to live in the days of Phono Sapiens so that they can live confidently as members of our society. To this end, there is a great need for a bilingual teaching and learning method that enables children from multicultural families to be free from language and cultural prejudice and to actively communicate and interact. In this paper, we propose a customized bilingual education method that applies various teaching and learning methods according to the development cycle, school age, and Korean language ability of children of multicultural families. The proposed bilingual teaching method for children of multicultural families is a teaching and learning method that applies the Waldorf teaching principle.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.248-253
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• 2019

Early diagnosis of mild cognitive impairment (MCI) can reduce the incidence of dementia. This study developed the MCI prediction model for the elderly in Korea. The subjects of this study were 3,240 elderly (1,502 men, 1,738 women) aged 65 and over who participated in the Korean Longitudinal Survey of Aging (KLoSA) in 2012. Outcome variables were defined as MCI prevalence. Explanatory variables were age, marital status, education level, income level, smoking, drinking, regular exercise more than once a week, average participation time of social activities, subjective health, hypertension, diabetes Respectively. The prediction model was developed using Restricted Boltzmann Machine (RBM) neural network. As a result, age, sex, final education, subjective health, marital status, income level, smoking, drinking, regular exercise were significant predictors of MCI prediction model of rural elderly people in Korea using RBM neural network. Based on these results, it is required to develop a customized dementia prevention program considering the characteristics of high risk group of MCI.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.91-98
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• 2019

The present study was performed to investigate the general research trends of dyslexia and learning disability to explore the centrality of related variables though analysis of keyword networks. Data were collected from ten years articles research information sharing service(RISS) which is provided by korea education and research information service(KERIS). The research subjects selected for the analysis were keyword cleansing work, extraction major keyword using KrKwic program and using NodeXL program to Visualize the center of connection between keyword. The results of this were as follows. First, totally 72 of keyword were extracted from keyword cleansing process and among those keyword. major keywords included learning disability, dyslexia, RTI. Second, analysis of the betweenness centrality of dyslexia and learing disabilities shows that learning disabilities are a key word that has been addressed in the study of dyslexia and learning disabilities in korea. The results of these studies suggest a method of analyzing trends in qualitative and qualitative analysis in relation to dyslexia and learning disorder.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1506-1513
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• 2019

Recently, as the industrial scope of multi-rotor unmanned aerial vehicles(UAV) is greatly expanded, the demands for data collection, processing, and analysis using UAV are also increasing. However, the acoustic data collected by using the UAV is greatly corrupted by the UAV's motor noise and wind noise, which makes it difficult to process and analyze the acoustic data. Therefore, we have studied a method to enhance the target sound from the acoustic signal received through microphones connected to UAV. In this paper, we have extended the densely connected dilated convolutional network, one of the existing single channel acoustic enhancement technique, to consider the inter-channel characteristics of the acoustic signal. As a result, the extended model performed better than the existed model in all evaluation measures such as SDR, PESQ, and STOI.

• Communications of Mathematical Education
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• v.36 no.4
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• pp.487-509
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• 2022

The purpose of this study is to analyze classroom discourse in the math classroom of middle school in China, which has a unique math classroom background of entrance examination for high school. To this end, this study analyzed teacher question statistics and episodes by teacher question type as starting speech in mathematics classroom discourse, and five IRF subtypes were especially identified by class discourse structure analysis. The data were analyzed focusing on a total of 15 transcripts of math classes recorded by three math teachers at H School in Guiyang, Guizhou Province, China, and written interviews of teachers. According to the results of this study, an average of 20 teacher questions were observed for each class, and the teacher question type was classified into confirmation question (understanding confirmation question, explanation request question, and double check question) and information question (information presentation question). In addition, according to classroom discourse analysis, the IRF discourse structure was divided into fragmentary evaluation, evaluation+reason, evidence of explanation, evaluation+student response re-statement, guidance on other thoughts or solutions, and student answer correction or teacher opinion presentation.