• The Journal of Korean Association of Computer Education
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• v.23 no.2
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• pp.53-64
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• 2020

As online learning forms centered on video lectures become more common and constantly increasing, the video-based learning environment applying various educational methods is also changing and developing to enhance learning effectiveness. Learner's log data has emerged for measuring the effectiveness of education in the online learning environment, and various analysis methods of log data are important for learner's customized learning prescriptions. To this end, the study analyzed learner behavior data and predictions of achievement by machine learning in video-based learning environments. As a result, interactive behaviors such as video navigation and comment writing, and learner-led learning behaviors predicted achievement in common in each model. Based on the results, the study provided implications for the design of the video learning environment.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.1023-1026
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• 2014

CCTV 는 범죄상황 발생시 보안과 증거확보를 위해 사용되어 왔다. 실제 상황에서 범죄가 발생하기 전 예방을 하는 것 보다 사후 처리에 용도를 두고 있으며, 범죄 상황에서의 보행자에 대한 행동을 미리 예측하기 어렵다. 본 논문에서는 노상에서 CCTV 로 수집된 데이터를 통해 객체 인식 및 객체간의 관계를 파악한다. 파악된 객체를 다중의 CCTV 연동 카메라가 추적하고 객체의 행동을 분석한다. 객체가 이상행동이라고 판단될 시 위협을 받는 객체 및 가까운 기관에 알림을 줄 수 있는 모델을 제안한다. 이를 통해 범죄 발생 전 즉각적인 대응이 가능하며 빠른 상황판단이 가능하다.

• Korean Journal of Construction Engineering and Management
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• v.25 no.1
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• pp.23-31
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• 2024

This study highlights the importance of understanding the fair bidding behavior of bid practitioners in order to eliminate bid-rigging, which has a detrimental impact on the construction industry and the overall economy. The research collected survey data from bid practitioners in the Daegu and Gyeongbuk regions of South Korea and analyzed the causal relationships between attitudes towards bid-rigging, subjective norms, perceived behavioral control, and the intention to engage in fair bidding using PLS-SEM analysis. The analysis results confirm that attitudes towards bid-rigging and perceived behavioral control are significant variables predicting the intention to engage in fair bidding among bid practitioners. This indicates that bid practitioners' perceptions of bid-rigging and personal behavioral control influence their willingness and actions towards fair bidding. The insights gained from this research provide valuable insights into bid practitioners' behavioral changes and can aid in the development of policies and measures to promote fair bidding and prevent bid-rigging.

• Korean Journal of Social Welfare
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• v.66 no.3
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• pp.5-28
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• 2014

School absenteeism, one of the early warning signs of behavioral problems, has been known to be a complex and heterogeneous problem. However, much of the research assumes that school absentee adolescents comprise a homogeneous group. This study explored the heterogeneity of school absentee adolescents, based on school adaptation, to provide a more nuanced understanding of school absenteeism and examined predictive and risk factors associated with each typology of school absentee adolescents. Latent profile analysis was conducted using sample 477 middle school students who were reported absent in the previous year from the 3rd wave of Korean Children and Youth Panel Study. Multinomial logistic regression and ANOVA was also employed to examine the effects of predictive variables. As a result, three profiles were identified: low, middle, and high adaptive group. Group membership was found to be associated deferentially with gender, mental health, parenting neglect, delinquent friends, and delinquent behaviors. These findings propose more specific and targeted interventions designed to meet the needs and risk factors associated with the different typologies of school absentee adolescents.

• Proceedings of the KOR-KST Conference
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• 2007.02a
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• pp.277-286
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• 2007

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.45-51
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• 2020

Recently, many games provide data related to the users' game play, and there have been a few studies that predict opponent move by combining machine learning methods. This study predicts opponent move using match data of a real-time strategy game named ClashRoyale and a multi-label classification based on machine learning. In the initial experiment, binary card properties, binary card coordinates, and normalized time information are input, and card type and card coordinates are predicted using random forest and multi-layer perceptron. Subsequently, experiments were conducted sequentially using the next three data preprocessing methods. First, some property information of the input data were transformed. Next, input data were converted to nested form considering the consecutive card input system. Finally, input data were predicted by dividing into the early and the latter according to the normalized time information. As a result, the best preprocessing step was shown about 2.6% improvement in card type and about 1.8% improvement in card coordinates when nested data divided into the early.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.2
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• pp.257-265
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• 2000

진기함추구성향 (novelty seeking)이란 새롭고 다양한 경험을 추구하는 소비자의 욕구로서, 혁신행동의 인지적 근본으로 간주되기도 한다. 본 연구는 소비자의 진기함추구성향, 패션혁신행동, 그리고 대인영향력간의 관계를 조사하고, 이러한 관계가 성별(gender)에 따라 차이가 있는지 조사하였다. 대학생집단을 표본으로 한 설문지조사를 통해 자료가 수집되었으며 , 539장의 응답자가 분석되었다. 여자대학생이 모든 변인(진기함추구, 패션혁신행동, 대인영향력, 의복흥미, 정보추구)에 있어 남자대학생보다 높은 경향을 나타냈으나, 변인들간의 관계에 있어서는 뚜렷한 성차가 보이지 않았다. 정보추구행동이 패션혁신행동에 영향을 주는 공통변인으로, 의복흥미, 정보추구활동, 패션혁신행동이 대인영향력에 영향을 주는 공통변인들로 나타났으나 진기함추구성향은 패션혁신 행동과 대인영향력에 직접적인 영향을 미치지 않는 것으로 나타났다. 즉, 새로움과 다양함을 시도하려는 성향/의도는 채택이라는 실질적인 행동을 수반하는 패션혁신행동을 예측하는데는 충분하지 않은 것으로 보인다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.3-6
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• 2007

사람들이 어떠한 행동을 할 때는 특정 의도를 가지고 있기 때문에 상황에 맞는 적합한 서비스를 제공하기 위해서는 사용자가 현재 하고 있는 행동에 대한 의도를 파악해야한다. 이를 위해 의도와 행동사이의 연관성을 이용하여 사용자의 의도에 따른 행동의 모델을 만든다. 일상생활에서 사람들이 하는 행동은 작은 단위 행동들의 연속(sequence)으로 이루어지므로, 사용자의 단위행동의 순서를 분석한다면 의도에 따른 행동 모델을 만들기가 용이해진다. 하지만, 이런 단위 행동 분석 방법의 문제점은 같은 의도를 가진 행동이 완벽하게 동일한 단위 행동의 순서로 일어나지는 않는다는 점이다. 시스템은 동일한 동작 순서로 일어나지 않는 행동들을 서로 다른 의도를 가진 행동으로 이해하게 된다. 따라서 이 문제점을 해결할 수 있는 사용자 의도 파악 기법이 필요하다. 본 논문에서는 과거의 사용자의 행동 정보를 기반으로 행동들의 유사성을 판별하였고, 그 결과를 이용하여 행동의 의도를 파악하는 방법을 사용한다. 이를 위해, 과거 사용자가 한 행동들을 단위 시간 별로 나누어 단위 행동의 순서로 만들고, 이를 K-평균 군집화 방법(K-means)으로 군집들의 순서로 나타내었다. 이 변경된 사용자 행동 정보를 사용하여 은닉 마코프 모델을 학습 시키고, 이렇게 만들어진 은닉 마코프 모델은 현재 사용자가 행한 행동이 어떤 행동인지를 예측하여 사용자의 의도를 파악한다.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.652-665
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• 2021

The purpose of this study was to verify relative effects of emotion and empathy on altruistic behavior. A survey including psychological well-being, depression, empathic concern, and perspective taking was conducted on 329 undergraduates. Results revealed that altruism was positively correlated with psychological well-being, empathy concern, and perspective taking but negatively correlated with depression. Test for relative effects of positive and negative emotional states on altruism revealed that psychological well-being, but not depression, significantly predicted altruism. Test for relative effects of emotional and cognitive empathy factors on altruism showed that empathic concern, but not perspective taking, significantly predicted altruism. Test for relative effects of all four factors on altruism revealed that the empathic concern was the strongest factor affecting altruism, followed by psychological well-being, while the remaining two factors did not have an effect on altruism. Implications and limitations of this study are also discussed in this study.

• Korean Journal of Cognitive Science
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• v.16 no.1
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• pp.29-52
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• 2005

This study was carried out to examine whether children had the naive psychological knowledge that the mental states ate requited to understand the intentional actions, whether their psychological knowledge was organized as a theory, and in what aspects the knowledge changed as children get older. Three- to 11-year-olds were presented with two types of tasks. In action explanation tasks, children were presented with simple descriptions of two characters engaging in specific actions and then asked to explain the characters' action. In action prediction tasks, they were told stories depicting a character's desire and belief and then asked to predict the action of the character. Three-year-olds explained the action in terms of abstract construct such as emotion, intention, and desire, and they predicted the character's action on the basis of her/his desire and explicit belief but not on the basis of inferred false belief and traits. In addition when they were asked to explain one mental state, they explained in terms of other mental states, suggesting the coherence of their knowledge. The present results suggested that even 3-year-olds' psychological knowledge was organized as a theory, in that it was used as a causal device in explaining and predicting human actions, and it had abstractness and coherence. Older children's knowledge was different from 3-year-olds' in that older children explained the action in terms of more complicated mental states such as beliefs and traits. The nature of the developmental change in psychological knowledge was discussed.