• Journal of Sasang Constitutional Medicine
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• v.32 no.1
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• pp.30-38
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• 2020

Objectives The purpose of this study is to reduce the question items in Korea Sasang Constitutional Diagnostic Questionnaire (KS-15) and to assess the validity. Methods The subjects of this study were 1,553 people who had information on body shape, personality, and symptoms among the data established at the Korean Medicine Data Center. Among them, 155 people were separated into a test group to assess the validity, and the remaining 1,398 were used as training groups for model development. The reduction question items were finally confirmed through discussion by two experts. The model development went through Multinomial Logistic Regression. Results & Conclusions The Percent Correctly Predicted (PCP) in the test group was 60.00% (58.49% in men and 60.78% in women). The PCP of each constitution was 72.6% in Taeeumin, 53.3% in Soeumin, and 50% in Soyangin. The accuracy rate of KS-10 seems to be reasonable considering the ease of use of reduced time required.

• Journal of the Korean Society for Library and Information Science
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• v.45 no.1
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• pp.11-27
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• 2011

This paper aims to seek ways of optimizing the operations of Collaborative Digital Reference Service(CDRS) in Korea. CDRS tries to specialize the reference service through world-wide collaborative service. In this study seven international CDRS services including "QuestionPoint" operated by ALA and one national service, "Ask a Librarian" by the National Library of Korea were surveyed. A focused analysis of CDRS in Korea shows not only a sharp increase in use by the public, but also much application in research and academic activities by university students and workers.

• Journal of Fisheries and Marine Sciences Education
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• v.21 no.3
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• pp.347-360
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• 2009

The purpose of this study was to investigate the characteristics of a teacher's questions in each context of musical activity by analyzing those questions in kindergarten music activity qualitatively. The participant in research was a teacher in charge of the class of children aged 7. Analysis was carried out on the data collected for 3 months through participation observance note, recording material, interview material and weekly plan. As a result, the teacher's questions were leaned upon the convergent questions to confirm the reflection of information and the understanding of function in singing and performing activity. On the other hand, the teacher's questions were leaned upon the diffusive questions for the thought of integration of information in composition activity and upon the diffusive questions for representing feeling or image with no relation to musical meaning in appreciation activity. However, the teacher's questions for control were conducted together with one of the questions, the question mentioned ahead. The tacit control question in singing and performing activity and the explicit control question in composition activity were conducted together, and in appreciation activity, the simple questions to lead the class, though not with the purpose to control attention, was conducted together.

• Journal of Korea Multimedia Society
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• v.25 no.11
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• pp.1643-1652
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• 2022

Most of the existing machine reading research has used Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN) algorithms as networks. Among them, RNN was slow in training, and Question Answering Network (QANet) was announced to improve training speed. QANet is a model composed of CNN and self-attention. CNN extracts semantic and syntactic information well from the local corpus, but there is a limit to extracting the corresponding information from the global corpus. Graph Convolutional Networks (GCN) extracts semantic and syntactic information relatively well from the global corpus. In this paper, to take advantage of this strength of GCN, we propose I-QANet, which changed the CNN of QANet to GCN. The proposed model performed 1.2 times faster than the baseline in the Stanford Question Answering Dataset (SQuAD) dataset and showed 0.2% higher performance in Exact Match (EM) and 0.7% higher in F1. Furthermore, in the Korean Question Answering Dataset (KorQuAD) dataset consisting only of Korean, the learning time was 1.1 times faster than the baseline, and the EM and F1 performance were also 0.9% and 0.7% higher, respectively.

• The Journal of Korean Association of Computer Education
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• v.21 no.6
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• pp.83-92
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• 2018

The subjective question is appropriate for evaluation of deep thinking, but it is not easy to score. Since, regardless of same scoring criterion, the graders are able to produce different scores, we need the objective automatic evaluation system. However, the system has the problem of Korean analysis and comparison. This paper suggests the Korean syntactic analysis and subjective grading system using the syntactic-semantic tree comparator. This system is the hybrid grading system of word based and syntactic-semantic tree based grading. This system grades the answers on the subjective question using the syntactic-semantic comparator. This proposed system has the good result. This system will be utilized in Korean syntactic-semantic analysis, subjective question grading, and document classification.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.205-213
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• 2024

This study uses a large language model (LLM) to identify Aristotle's rhetorical principles (ethos, pathos, and logos) in COVID-19 information on Naver Knowledge-iN, South Korea's leading question-and-answer community. The research analyzed the differences of these rhetorical elements in the most upvoted answers with random answers. A total of 193 answer pairs were randomly selected, with 135 pairs for training and 58 for testing. These answers were then coded in line with the rhetorical principles to refine GPT 3.5-based models. The models achieved F1 scores of .88 (ethos), .81 (pathos), and .69 (logos). Subsequent analysis of 128 new answer pairs revealed that logos, particularly factual information and logical reasoning, was more frequently used in the most upvoted answers than the random answers, whereas there were no differences in ethos and pathos between the answer groups. The results suggest that health information consumers value information including logos while ethos and pathos were not associated with consumers' preference for health information. By utilizing an LLM for the analysis of persuasive content, which has been typically conducted manually with much labor and time, this study not only demonstrates the feasibility of using an LLM for latent content but also contributes to expanding the horizon in the field of AI text extraction.

• Journal of Gifted/Talented Education
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• v.24 no.1
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• pp.63-80
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• 2014

The open inquiry is one of the representative learning approaches for gifted students. However, a gifted student should develop various complicated competencies to succeed in the open inquiry because of its complexity. This study develops a question list in accordance with each stage of inquiry so that the list could provide scaffolding in the process of open inquiry and students develop near-professional competencies and produce distinguished outcomes. For the purpose, we have reviewed various literatures related to research methodologies, academic writings, and learning of inquiry. Based on the review, we identified the open inquiry as cognitive, metacognitive, and sociocultural processes and set up the direction of the development of the question list. We also have elaborated the goals of the open inquiry, provided a model of the stage of inquiry, and developed the guiding question list belonging to each stage. As a discussion, we provided several noteworthy issues in the situation of when the list is used in the teaching of the open inquiry for the gifted.

• Korean Journal of Health Education and Promotion
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• v.19 no.2
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• pp.115-125
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• 2002

This study is a investigation research to examine total 123 children's thought, perception and coping method about measles, with 62 children who had experienced the measles and 61 good health children in the school, which had spread to a primary school in kyoungsang-bukdo province. The data collection was done from December 6 to December 8. The analysis of data was SPSS(10.0) for descriptive statistics. The data were collected from total 123 children, 62 of them who had diagnosed measles on October, 2000, when the measles had ended, were used a purposive sampling, the others who had a good health were used a convenience sampling. From three to six grade students made out directly the questionaire in the way of self-questionaire, and from one to two grade students, made out answering the question which the researcher had read the items. The researchers call back the students to complement the contents about the items inadequate answers, so they raised the reliability. The results were as follows. 1. The results of observe carefully the measles infection degree by a sex, the boys(27.4%) were sick severely compared with girls(9.7%)were sick weakly compared with the boys(27.4%)(p〈0.01). 2. The 62.9 percents of infected children by measles thought that they were infected at school, regarded the doctors as a first judge, and had caught the measles because of their fault. The results of observe carefully, 33.8 percents children of infected by measles had have a secondary vaccination. To the question whether they go to institute or not while suffering from the measles, 35.5% children didn't go there since they had heard the fact they infected the measles. 3. To a question of asking if close mend caught the measles, what will they do, 65.1% children of caught the measles answer ‘I can't meet my friend'(p〈0.001). It was significant that infected children have more interests than didn't infected children. The 22% children of didn't catch the measles take great interested in health compare with the 12.2% children of infected the measles(p〈0.05). To the question if they listen the preservation of health broadcasting, 63.4% children answer ‘I listen well’. It was significant between the infected group and didn't infect group(p〈0.05). To the question if they delivery to the written information at home, it was significant between the infected group and didn't infect group(p〈0.05). 4. The infected group of 69.1% children think the health is most important in their life school than any other they like study.

• The Research Journal of the Costume Culture
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• v.13 no.5 s.58
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• pp.756-762
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• 2005

The objective of this research is to examine psychological desires of college students who attempt to express themselves by wearing so called 'couple look' attire, which is a dressing habit that represents responses to various psychologies and the society. Moreover, the message that is trying to be conveyed to others by dressing as such and the question of whether that message is being conveyed, are subject to analysis by applying linguistic classification theory pertaining to this specific term. After a pre-examination based on a through interview conducted with 70 male and female college student, the main examination was based on question and answering methods on 450 male and female college students for data collection. The results were compared, reviewed and analyzed by applying Geoffrey Leech's meaning segmentation theory on linguistics, and was aimed at defining through research how meaning segmentation represented through languages can be applied in expressing one's self through clothing. The research results are as follows. 1. The psychological desires of wearing couple look attire are to express that they like and love each other, are dating, and to showcase their intimacy. 2. Clothing attire that are appropriate to express the couple look are T-shirts, jeans, pants, sweaters, mufflers, and accessories such as tennis shoes, hats, shoes, bags, rings, watches, ear-rings, etc. 3. Amongst people who have tried the couple look and those who have not, those who have said that they were willing to dress in couple look are mostly experienced in dressing so.

• The Journal of Society for e-Business Studies
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• v.8 no.3
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• pp.177-195
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• 2003

In a traditional customer support environment, mainly call centers or service centers are responsible for receiving inquiries from their customers via telephone calls. Due to the rapid growth of Internet with its widespread acceptance and accessibility, means of communication with customers in the traditional customer support center, such as telephones, letters, and direct-visiting, have been replaced by e-mails and bulletin board systems (BBSs) using the Internet constantly. BBSs are basically question and answer systems, they require some lead time to get answer from administrator. To reduce lead time, BBSs enable remote customers or users to log on and tap into a knowledge database that is generally formatted in the form of Frequently Asked Questions (FAQs) that provide answers and solutions to the common problems. And, many different types of the questions are mixed on the BBS. It is a burden to administrator. To build FAQs and to support BBS adminstrator, a supporting tool which is to categorize questions is helpful. In this research, we suggest an interactive question categorizing methodology which consists of steps to present question using keywords, identifying keywords' affinity, computing similarity among questions, and clustering questions. This methodology allows users to interact iteratively for clear manifestation of ambiguous questions. We also developed a prototype system, IQC (interactive question categorizer) and evaluated its performance using the comparison experiments with other systems. IQC is not a general purposed system, but it produces a good result in a given specific domain.