• The KIPS Transactions:PartD
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• v.9D no.3
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• pp.511-522
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• 2002

WBI (Web-Based Instruction), a web-based tool for teaching the students at a long distance, makes possible to Interact between learners and instructors, provides a wide variety of learning materials, has an advantage of overcoming spatial constraints. In this paper, as a model of using the web for education, a web-based education-evaluation system has been designed and implemented. Web-based education-evaluation system has to be equipped with both of the online setting question mode and the upload setting question mode, the former makes questions on web and the latter uploads the setted questions on offline with settling a defeat of the existing systems on setting questions. And the system has to be equipped with the function of analyzing the questions that gives teacher several kinds of analysis information and makes possible to feedback to questions by adjusting the difficulty and revising the questions. In this paper, a system that reflects the above requirements has been designed and implemented with PHP script language and MySQL database system.

• Journal of Fisheries and Marine Sciences Education
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• v.26 no.4
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• pp.902-914
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• 2014

The purpose of this study is to provide useful information by analysis on mathematic classes for improve interactions between teacher and student using the Flanders Category System. For this, mathematic classes were observed by videotapes and recorded, 10 recorded videotapes were selected for analysis the property of linguistic interaction. The collected videotapes and records materials were transcribed by Advanced Flanders(AF) analysis program version 3.54. The detail investigated topics for studying are as follows. 1) What is the property of the Flanders 10 code analysis results? 2) What is the property of main and subsidiary linguistic flow of interaction? 3) What is the property of the Flanders index analysis results? The results of this study are as follow: 1) In Flanders 10 code analysis results, teacher's non-directive speaking is 12.76%, teacher's Indicative speaking is 50.28%, student's reactive speaking is 4.07%, student's voluntary speaking is 9.66%. 2) Among the 10 classes, 5 classes' main flow is 'ask convergent question ${\rightarrow}$ student's reactive speaking ${\rightarrow}$ lecture ${\rightarrow}$ ask convergent question', 2 classes' main flow is 'lecture ${\rightarrow}$ ask convergent question ${\rightarrow}$ student's reactive speaking ${\rightarrow}$ lecture', 3 classes' main and subsidiary flow is 'lecture ${\rightarrow}$ ask convergent question ${\rightarrow}$ lecture ${\rightarrow}$ work'. 3) In indices results, revised I/d ratio, student's speaking ratio, student question, wide answer ratio are higher than analysis standard and indirect ratio, teacher's question ratio are lower than analysis standard.

• The Korean Journal of Applied Statistics
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• v.34 no.2
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• pp.191-204
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• 2021

Visual Question Answering (VQA) and image captioning are tasks that require understanding of the features of images and linguistic features of text. Therefore, co-attention may be the key to both tasks, which can connect image and text. In this paper, we propose a model to achieve high performance for VQA by image caption generated using a pretrained standard transformer model based on MSCOCO dataset. Captions unrelated to the question can rather interfere with answering, so some captions similar to the question were selected to use based on a similarity to the question. In addition, stopwords in the caption could not affect or interfere with answering, so the experiment was conducted after removing stopwords. Experiments were conducted on VQA-v2 data to compare the proposed model with the deep modular co-attention network (MCAN) model, which showed good performance by using co-attention between images and text. As a result, the proposed model outperformed the MCAN model.

• The Journal of Pediatrics of Korean Medicine
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• v.22 no.2
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• pp.171-186
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• 2008

Objectives : The purpose of this study is to investigate necessity of overtime hospital business hours and patient's visiting time preferences. Methods : The study was composed of 117 children's protectors who visited the pediatrics department in Kyunghee university oriental medicine hospital between on April 14th and on July 4th in 2008. Results and Conclusions : 1. Question for asking the preference of weekdays regular consultation hours 27% of preschool children preferred time around 11 am to 12 pm, each 32% of school aged children preferred time around 3:30 to 4:30 pm, 4:30 to 5:30 pm. 2. Question for 'Have you ever experienced inconvenience for regular consultation hours' 41% of them said 'Yes', and 59% said 'No'. 3. School aged children more experienced inconvenience for regular consultation hours than preschool children, and more likely to come at overtime hospital business hours. 4. Question for 'If the hospital extends the business hours for holidays and weekdays and Saturdays, would you prefer to come at that time?' 88% of them answered 'Yes'. 5. Question for asking the preference time on weekdays, 35% of them preferred 6:30 to 7:00 p.m. 6. Question for asking the preference time on Saturdays, 44% of them preferred 1:30 to 2:30 p.m. 7. Question for 'Do you willing to pay extra charges if you visit in non office hours?' 66% were willing to pay, 24% of them said "no", 'the other opinion' is 10%.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.6
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• pp.2616-2623
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• 2011

The purpose of this study is investigate the sociology population variable and social support system(emotional, financial, informal and evaluative support) with regards to the death anxiety and provide a basic data to relieve the fear of death in the elderly special nursing service. 300 old people who are living in Daeg-gu city and Kyong-buk province were selected and interviewed under their agreement which they are fully aware of the purpose and the intention of this study. Interviews for study were performed by structured questionnaire which consists of general area(11-question), social support area(emotional support 7-question, financial support 6-question, informal support 6-question and evaluative support 6-question) and death-anxiety(20-question). Statistical analysis was carried out with SPSS 12.0 program, which was applied to descriptive statistics and regression analysis to analyze the questionnaire.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.6
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• pp.1277-1282
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• 2015

This paper describes a research for improvement official approval of information processing in national technical qualification. In this paper, we analysis the contents of current exams and propose the new evaluation method of practical exam in information processing fields through grafting new trends of ICT and ability unit, fulfillment criteria in national competency standards(NCS). Also, we have verified the effect of exam through the pilot test. In the future, we will apply the new exams after the revision of guidelines for marking questions by expert group in its duty fields basis on this research

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.82-85
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• 2015

This paper describes a research for improvement official approval of information processing in national technical qualification. In this paper, we analysis the contents of current exams and propose the new evaluation method of practical exam in information processing fields through grafting new trends of ICT and ability unit, fulfillment criteria in national competency standards(NCS). Also, we have verified the effect of exam through the pilot test. In the future, we will apply the new exams after the revision of guidelines for marking questions by expert group in its duty fields basis on this research.

• Journal of KIISE
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• v.43 no.8
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• pp.927-932
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• 2016

With the explosive increase in the number of online medical documents, the demand for question-answering systems is increasing. Recently, question-answering models based on machine learning have shown high performances in various domains. However, many question-answering models within the medical domain are still based on information retrieval techniques because of sparseness of training data. Based on various information retrieval techniques, we propose an answer snippet retrieval model for question-answering systems of medical documents. The proposed model first searches candidate answer sentences from medical documents using a cluster-based retrieval technique. Then, it generates reliable answer snippets using a re-ranking model of the candidate answer sentences based on various sentence retrieval techniques. In the experiments with BioASQ 4b, the proposed model showed better performances (MAP of 0.0604) than the previous models.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.05a
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• pp.45-46
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• 2011

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2012.05a
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• pp.32-33
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• 2012