• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.4
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• pp.217-238
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• 2013

We investigated how combining different types of images with written text affects the comprehension of health related information. The types of images were picture, photograph, and X-ray. 47 four year college students were recruited for the experiment. The independent variables in this study included information presentation format, vividness of image, and the degree of awareness for the disease. The dependent variables were recognition and recall for information. The results showed that the information with images in recognition and recall had higher score than information with written text only. In regard to the effect of different kinds of images on comprehension of health information, information with picture had higher score than the information with photograph and X-ray. The vividness of image were found to work as a negative factor on the recognition of information. Finally, the degree of awareness of disease also failed to have any significant effect on subjects' recall and recognition. This research has implications for the contents design of health related website.

• Journal of Educational Research in Mathematics
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• v.22 no.3
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• pp.331-352
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• 2012

The purpose of the study is to verify what cognitive variables have significant effect on proportional problem solving. For this aim, the study classified proportional problem into well-structured, moderately-structured, ill-structured problem by the level of structuredness, then classified the cognitive variables as well into factual algorithm knowledge, conceptual knowledge, knowledge of problem type, quantity change recognition and meta-cognition(meta-regulation and meta-knowledge). Then, it verified what cognitive variables have significant effects on 6th graders' proportional problem solving abilities through multiple regression analysis technique. As a result of the analysis, different cognitive variables effect on solving proportional problem classified by the level of structuredness. Through the results, the study suggest how to teach and assess proportional reasoning and problem solving in elementary mathematics class.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.209-220
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• 2021

The purpose of this study is to examine the effect of donation campaigns ambassador model in non-profit organizations. To analyze the research hypothesis, the independent variables (high awareness-high expertise, high awareness-low expertise, low awareness-expertise, low awareness-low expertise) and the dependent variables (source credibility, message credibility, attitude toward the organization, and donation intention) were measured. Interaction effect was found on the source credibility, message credibility, and donation intention. The interaction effect showed that public perceived positively if the ambassador has high cognition level on the condition of low expertise. However, the attitude toward the organization according to the PR ambassador type was not significant. The study suggested that the non profit organization would better use the ambassador of high cognition rather than expertise.

• Journal of The Korean Association For Science Education
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• v.25 no.4
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• pp.441-449
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• 2005

The purpose of this study was to examine the degree of cognitive conflict by learner personality and the method of presenting anomalous data to induce cognitive conflict. The participants of this study were 461 high school students. To arose cognitive conflict, an actual demonstration was done for half of the participants and a logical article for the rest. MBTI (Myers-Briggs Type Indicator) was used to find the learner personality types, and CCLT (Cognitive Conflict Level Test) was used to measure the degree of cognitive conflict aroused when anomalous data was confronted. The results of this study indicated that learner personality types influence the degree of cognitive conflict. First, participants were divided into two personality types via preferences on each of the four preference indices; extraversion (E) or introversion (I), sensing (S) or intuition (N), thinking (T) or feeling (F), judgment (J) or perception (P). The cognitive conflict scores of the thinking types were significantly higher than those of the feeling types. Participants were also divided four personality types according to personality functional types: ST, SF, NT and NF. SF type showed a significantly lower cognitive conflict score than any of the other types. According to the type of learner personality, cognitive conflict was influenced differently by the method of presenting anomalous data. For example, the judgment types had a higher cognitive conflict score by logical argument, and the perception types showed a higher score by demonstration. In conclusion, learner cognitive conflicts were influenced by personality types and the methods of presenting anomalous data.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.326-337
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• 2020

The purpose of this study is to analyze the effect of social participation types on cognitive impairment degree(normal, mild, severe cognitive function) by urban and rural difference. The research was performed by multinomial logistic regression with the data of elderly 5,668 over 55 years of age from the sixth wave(2016) and the seventh wave(2018) of the Korean Longitudinal Study of Ageing. Results show that social participation reduces the risk of cognitive impairment on both urban and rural older adults regardless of types, but the types of social participation, which are effective to reduce the risk of cognitive impairment, are different between urban and rural area. According to residential area, types of social participation, which are effective to decline the risk of being mild or severe cognitive impairment and the risk of being severe cognitive impairment relative to mild, are different. These findings suggest that, in order to prevent cognitive impairment and reduce the severity, social participation is strongly recommended and appropriate supports are required. This implies policy and intervention efforts considering the urban and rural difference are needed.

• Journal of Korean Society of Transportation
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• v.20 no.7
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• pp.143-153
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• 2002

본 연구는 교통사고의 발생원인에 대한 인식유형과 감소대책에 대한 인지 유형별 영향요인의 정도를 분석하기 위하여 수량화이론 II류와 CHAID 분석법을 이용하여 분류모델과 판별모델을 구축하였다. 수량화이론 II류에 의한 교통사고 발생원인에 대한 인식 유형별 영향요인 판별모델은 전체 적중률이 78.4%로 매우 높게 나타났다. 편상관계수는 설명변수의 항목 중 학력, 성별, 운전경력 년 수, 소유 차종의 순으로 영향을 미치고 외적 변수인 교통사고 발생원인에 대한 유형에서는 기여 정도가 교통단속 부재 > 교통체계 미비 > 승용차 과다 사용 >잘못된 의식 때문의 순으로 나타났다. 교통사고 감소 대책에 대한 인지유형별 영향요인 판별모델은 전체 적중률이 59.9%로 높게 나타났으며, 편상관 계수는 학력, 성별, 운전경력 연수, 연령의 순으로 영향을 미치고 있고, 외적 변수인 교통사고 감소 대책에 대한 유형에서는 기여 정도가 교통단속 강화 > 대중교통수단 이용 유도 > 교통체계 개선 > 의식 개혁의 순으로 나타났다. 또한 CHAID 분석법에 의한 교통사고 발생원인에 대한 인식 유형별 영향요인 분류모델에 있어서는 예측변수로 학력, 연령, 성별, 통행수단의 네 가지 변수가, 교통사고의 감소 대책에 대한인지 유형별 영향요인 분류모델에 있어서는 학력, 운전경력 연수, 성별 그리고 통행수단의 네 가지 변수가 카이제곱 통계량 이 5%의 유의수준에서 유의한 것으로 판단되었다. 교통사고 발생원인 인식과 감소 대책의 인지 유형에 대한 빈도분석과 교차분석은 의식과 관련한 유형이 가장 높게 나타났으나 판별.분류모델에서는 교통단속과 관련한 유형이 기여 정도가 높고 의식 관련 유형이 상대적으로 낮게 나타나는 등 반대양상을 보이고 있어 심리적으로 내재되어 있고 표면에 잘 드러나지 않았던 의식 수준의 낮음이 분류모델을 통해서 명확하게 드러났다.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.13-18
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• 2019

The purposes of the present study were finding out educational implications and enhancing the efficient use of computer-based assessments (CBA) in class designes. This paper examined associations of CBA perceptional typology, academic achievement, personality, and computer efficacy. Participants were fifty senior students who took more than 50% of CBA classes in a university that introduces online learning-based system (LMS) with CBA. As a result, there were significant differences between CBA types and GPA and between CBA types and personality. In other words, the CBA adjustment type showed the highest GPA score and CBA dissatisfaction/paper test preference type showed the lowest GPA. Similarly, in terms of personality, CBA adjustment typology was significantly higher conscientiousness than other types. CBA dissatisfaction type had the lowest score of conscientiousness. In addition, the higher the level of conscientiousness, agreeableness and neuroticism, the higher the GPA score. This study is meaningful in that it is the first attempt to seek links CBA type with academic achievement and personality.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.230-240
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• 2011

The personality types has been emphasized as one of the influential factors for the program selection by viewers in the multi-channel and multimedia era. However, there have been few empirical studies on this issue. The current study investigated how the audience personality influence the program preference. Specifically, this study focused on both need for cognition and sensation seeking which are related to the television viewing motivation. To examine the influence of personality on program preference, four types of drama and five types of entertainment programs were used. The results of the web survey showed that viewers personality type seem to have effect on their program preference. Indeed, it appeared that there was positive relationship between need for cognition and sensation seeking. The implications of this study's findings were discussed.

• Science of Emotion and Sensibility
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• v.3 no.2
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• pp.41-55
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• 2000

경영활동에 있어서 직관력은 잘 알려진 인지능력이지만 효과적인 의사결정지원시스템의 개발 목적으로는 거의 고려되고 있지 않다. 본 연구는 의사결정자의 인지 유형에 따른 시계열 예측의 정확성과 뇌파의 차이를 통계적 검증, 인공신경망, 데이터 마이닝의 세 가지 접근방법으로 탐색하여 그 결과를 비교 분석함으로써 시계열 직관 예측에 영향을 주는 의사결정자의 인지적/생리적 특성을 도출함으로써 효과적인 의사결정환경을 조성하는데 공헌하고자 하였다. 실험결과 통계적 분석에서는 아무런 유의성을 찾을 수 없었으나, 인공신경망 분석에서는 인지유형과 감성유형이 모두 시계열 예측 정확도와 상관성이 있는 것으로 나타났으며, 데이터 마이닝 분석에서는 보다 의미 있는 상관관계를 찾아낼 수 있었다.

• Smart Media Journal
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• v.3 no.3
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• pp.26-35
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• 2014

The statistical graphics is a design field focusing on the user perception aspects for the correct information delivery and the effective understanding, with the use of the quantitative data through the information analysis, extraction, visualization process. The statistical graphics with the big data composition factor is termed as the statistical big data graphics. In the statistical graphics the visual factors are used to reduce the errors in the perception part and to successfully deliver the information. However, in the statistical big data graphics the visual factors of the enormous data are causing the cognitive discouragements. The purpose of this study is to extract the cognitive discouragement factors from the big data statistical graphics, categorizing the types of the statistical big data graphics as 'network type', 'segment type', and 'mixed type', based on their compositional shapes, and explored the characteristics according to them. Especially, based on the visual main factors in the statistical big data graphics, We extracted the cognitive discouragement factors that appear in the high visualization as the four categories: 'multi-dimensional cases', 'various color', 'information overlap', and 'legibility of the writing'.