• Journal of the Korea Society of Computer and Information
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• v.14 no.2
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• pp.59-68
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• 2009

This paper aims to explore the factors of learner's flow and to develop and validate a scale to measure the flow in Massive Multiplayer Online Role Playing Game(MMORPG) for education. First of all, potential factors were drawn through literature review. The potential stage comprises 6 factors(learner's psychological characteristics, learner's skill, importance of game, environment for learner, instructional design, and instructional environment) and 16 subfactors. With total 48 items developed. a survey was carried out among 293 elementary learners who had been participating in a commercial MMORPG for English skills to measure their flow in the MMORPG by utilizing the potential scale. Using the responses collected from 288 respondents, exploratory factor analysis, reliability analysis, and confirmatory factor analysis were performed. The expository factor analysis showed that items within each sub-factors could be bound into one factor. That is, the variables evaluating learner's flow were divided into six factors(learner's psychological characteristics, learner's skill, importance of game, environment for learner, instructional design, and instructional environment). And these factors were interpreted consisting of 16 sub-ones. Reliability estimates indicated that the evaluation tool had good internal consistency. The confirmatory factor analysis did confirm the model suggested by the expository factor analysis. Over fit measures(CFI, NFI, NNFI) showed the good suitability of the model. Findings of this study confirmed the validity and reliability of the scale to measure learner's flow in MMORPG.

• Journal of the Korean Society of Radiology
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• v.81 no.6
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• pp.1348-1363
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• 2020

The newly revised 2018 Organ Injury Scale (OIS) has a similar format to the previous American Association for Surgery and Trauma (AAST) Emergency General Surgery Grading System, dividing the criteria for grading solid organ damage into three groups; imaging, operation, and pathology. The most significant alteration in the OIS system 2018 revision is the incorporation of multidetector CT (MDCT) findings of vascular injury including pseudoaneurysm and arteriovenous fistula. Similar to the previous OIS, the highest of the three criteria is assigned the final grade. In addition, if multiple grade I or II injuries are present, one grade is advanced for multiple injuries up to grade III. This pictorial essay demonstrates the MDCT findings of solid organ injury grades based on the 2018 OIS system.

• Journal of the Korean Geographical Society
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• v.36 no.2
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• pp.177-190
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• 2001

As standardized test and current perfomance assessment have some problems in the aspects of contextuality, authenticity and intelligence faimess, the aim of this study is to propose an 'intelligence-fair and authentic assessment(IFAA)as an appropriate altemative and to make sure of the probability of its application. In geographical education, an idealistic assessment can be realized when the tasks bear authenticity, multiple intelligence of students are accepted and the objective are confirming with general purpose. IFAA model consists of 5 elements. They are the selecting for strategic ideas, the developing a real-life task, the constructive instructing with teacher, the offering opportunity of multiple representation and the allotting of marks for each items, IFAA model proposed in this study is worth considering in educational validity and realistic adaptability.

• Journal of Navigation and Port Research
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• v.34 no.8
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• pp.635-640
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• 2010

Based on the previous studies that argued Brand Personality Scale(BPS) developed by J.Aaker(1997), the results are not shown very suitable for all cases. Authors found out more suitable Brand personality Scale for Marine Tourism Destination. This study then is to verify a newly developed Marine Tourism Destination BPS, to apply the multiple regression to BPS and images for Haeundae, and then to confirm the relationship between a newly developed BPS and Images proven in the previous study.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.169-170
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• 2019

본 연구는 어머니의 스마트폰 과의존과 부모역할지능의 관계를 확인하여 어머니의 스마트폰 과의존 예방교육이 필요하다는 기초자료를 제공하는데 목적을 두고 있다. 연구대상은 충북 청주시의 15개소의 어린이집에 다니고 있는 만 0~2세 어머니 220명이다. 연구도구는 스마트폰 과의존척도, 부모역할 지능척도를 사용하였다. 연구의 분석을 위하여 Pearson 적률상관관계, 회귀분석을 실시하였다. 분석결과 어머니의 스마트폰 과의존은 부모역할지능과 부적인 상관이 있었으며 발달적 자극, 양육 및 지지, 관리의 하위요인 모두에 부적상관이 있었다. 다중회귀분석을 통한 스마트폰 과의존과 부모역할지능 및 하위요인 모두에 부적으로 유의한 영향이 있는 것으로 나타났다. 이는 바람직한 영유아의 양육을 위하여 어머니를 위한 스마트폰 과의존 예방교육이 필요함을 시사한다.

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.533-538
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• 2001

In this paper, we extend FARGs single mode attribute to multiple attributes for real image application and present a new CBIR using FMARG(Fuzzy Multiple Attribute Relational Graph), which can handle queries involving multiple attributes, not only object label, but also color, texture and spatial relation. In the experiment using the synthetic image database of 1,024 images and the natural image database of 1.026 images built from NETRA database and Corel Draw, the proposed approach shows 6~30% recall increase in the synthetic image database and a good performance, at the displacements and the retrieved number of similar images in the natural image database, compared with the single attribute approach.

• The Journal of the Korea Contents Association
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• v.10 no.11
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• pp.435-445
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• 2010

The purpose of the current study was to examine the validity of the Leisure Satisfaction Scale(LSS) and confirm the relations between the LSS and subjective well-being. The LSS developed by Beard and Ragheb[9] has been used for about 20 years without the examination of the validity since it was utilized in Lee[2]'s study in Korea. First, all items of the original LSS and the operational definition of factors were translated and then inversely translated, and reviewed by experts in leisure studies. A total of 515 respondents participated in the study. To achieve the goals of this study, item-total correlation, correlation analysis, exploratory factor analysis, reliability analysis, multiple regression and confirmatory factor analysis were conducted by SPSS 14.0 and AMOS 5.0 programs. Main findings are as follows: First, the factor names(psychological, educational, social, physical, esthetic, and relaxation) and items were modified. Second, modified operational definition of factors were presented. The reliability and validity of the LSS consisted of 24 items and five factors were very high. Psychological and relaxation factors of LSS affected subjective well-being positively. The new LSS would be useful for the future studies associated with leisure satisfaction.

• Journal of The Korean Association of Information Education
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• v.18 no.1
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• pp.13-23
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• 2014

For this paper, we developed a game-addiction therapy program for students with gaming addiction based on multiple intelligences (MI) and verified its effects. The participants were 54 elementary students selected through a game addiction test in Incheon City, Korea. We tested the students' MI to facilitate program development. the students with gaming addiction showed strengths in the Bodily-kinesthetic, Naturalist, and Spatial intelligences whilst showing weaknesses in the Logical-mathematical, Intrapersonal, and Interpersonal intelligences as opposed to normal students who had opposite results. We arranged the program around various gaming and playing activities to engage their stronger intelligences; we added activities to address their weakness (i.e., Logical-mathematical, Intrapersonal, and Interpersonal intelligences). This study has shown that this program lowered the game immersion level of the students and was helpful in turning their attention to other activities. There were significant differences between pretest and posttest game addiction scores (p<0.001). Their weekly gaming time and computer usage decreased rapidly. Satisfaction with the game addiction therapy program based on MI was very high.

• Journal of Korea Entertainment Industry Association
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• v.15 no.7
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• pp.159-168
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• 2021

The purpose of this study was to analyze the effects for lifestyle, stress and life satisfaction on sleep quality in university students. The participants were 46 university students attending the department of occupational therapy. Participants responded to responses to the lifestyle questionnaire and Morning and Evening Questionnaire-Korean version(MEQ-K). The levels of stress and life satisfaction reported by participants were obtained using the Korean version of Perceive Stress Test-4(K-PSS-4) and Korean version of Satisfaction With Life Scale(K-SWLS). The quality of sleep was assessed using Korean Modified Leeds Evaluation Questionnaire(KMLSEQ). An independent t-test, Pearson correlation analysis, and multiple regression analysis were performed to investigate factors related to quality of sleep. The analysis of correlations between health status, morning type of chronotype, and life satisfaction showed a significant positive correlation between quality of sleep. As a result of analyzing the quality of sleep according to the chronotype, the main family house and dormitory group showed higher sleep quality than the boarding group. As a result of the multiple regression analysis, the chronotype predicts quality of sleep. This study could provide information to improve the quality of sleep for university students by identify factors affecting sleep for university students in occupational therapy.

• The Korean Journal of Applied Statistics
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• v.31 no.1
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• pp.67-75
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• 2018

Multidimensional scaling (MDS) is an exploratory analysis of multivariate data to represent the dissimilarity among objects in the geometric low-dimensional space. However, a general MDS map only shows the information of objects without any information about variables. In this study, we used MDS based on the algorithm of Torgerson (Theory and Methods of Scaling, Wiley, 1958) to visualize some clusters of objects in categorical data. For this, we convert given data into a multiple indicator matrix. Additionally, we added the information of levels for each categorical variable on the MDS map by applying the partition method of Shin et al. (Korean Journal of Applied Statistics, 28, 1171-1180, 2015). Therefore, we can find information on the similarity among objects as well as find associations among categorical variables using the proposed MDS map.