• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.2
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• pp.634-643
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• 2013

This study purposed to examine how emotional intelligence affect undergraduate students' personal agency beliefs. For the purpose, this study conducted a questionnaire survey of 446 undergraduate students in metropolitan area. Data were analyzed by t-test, Pearson's correlation, correlation analysis, and linear regression analysis. The results were as follows. The regulation of emotion of emotional intelligence and capability beliefs of personal agency beliefs were significantly different according to sex and others' emotion appraisal of emotional intelligence and capability beliefs of personal agency beliefs were significantly different according to school level. Also, the others' emotion appraisal of emotional intelligence and capability beliefs of personal agency beliefs were significantly different according to religion existence. There was a correlation between the emotional intelligence and personal agency beliefs. The others' emotion appraisal, regulation of emotion and use of emotion of emotional intelligence have an impact on personal agency beliefs including capability beliefs and context beliefs, the explanation concerning capability beliefs(47%) and context beliefs(22%) was persuasive. Therefore, when undergraduate students have to make career decision for their future, in order to encourage personal agency beliefs which are related to motivational factors, the consequence of emotional intelligence was verified. It is necessary to establish many kinds of supporting systems to encourage the emotional intelligence and personal agency beliefs.

• Korean Journal of Childcare and Education
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• v.9 no.5
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• pp.131-156
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• 2013

The purpose of this study was to examine the importance of parental beliefs, parental attitudes and parental behaviors of parents with preschool children and the relationship of the variables in an attempt to help preschoolers to gain multiple-intelligence experiences in an integrated manner in consideration of their interests, needs, strengths and weaknesses. A survey was conducted on the selected parents who had preschool children, and a multiple regression analysis was carried out to look for connections among the variables. The findings of the study were as follows: First, the preschool girls were ahead of the preschool boys in linguistic intelligence, musical intelligence and spatial intelligence, and the latter surpassed the former in logical-mathematical intelligence. Second, whether there would be any differences among the preschoolers in multiple intelligences according to age was analyzed, and those who were at the Western age of five were ahead of the four-year-olds in logical-mathematical intelligence, bodily-kinesthetic intelligence and naturalist intelligence. Third, the parental attitude of the parents was identified as the most influential variable for the multiple intelligences of the preschoolers, followed by parental behavior. Parental beliefs just had a very small impact on their multiple intelligences. The findings of the study imply that parents should be helped to improve their parental attitude and parental behavior to boost the multiple intelligences of their preschool children.

• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.536-550
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• 2018

This paper examine how acceptance of AI robots can be achieved according to occupational groups when the discourse on human labor and occupation changes due to the new industrial revolution is spreading steadily. Previous research on the acceptance of new technologies and products has predicted use behavior through subjective beliefs and values that do not change well over the short term. Therefore, this study compares the beliefs, values, and use intention of AI robots according to occupation. As a result, the subjective belief factor for AI robots was classified into belief in rationality(reason) and belief in benevolence(emotion). The value factors were divided into acceptance value(role performance, communication, social comparison) and avoidance value(risk, complexity). There was a significant difference in the effect of these on the use intention of AI robot by occupation and employment types. This result suggests that there are gaps in the occupation group at the rate of technology acceptance, as opposed to the existing prediction that AI robots will be rapidly expanded by professionals.

• Journal of the Korean Chemical Society
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• v.57 no.1
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• pp.147-158
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• 2013

This study is to search an optimal model on causal relationships of the motivations to learn and motivation strategy in chemistry education. The participants in this study are consisted of G and I high schools students (487) in Gwangju. They all answered to the questionnaire. Model I is hypothesized to be path model of the mediation between 'self-efficacy, achievement need, and entity theory of intelligence' and 'learning strategy and self-handicapping tendency of motivation strategy' by goal orientation to explore variables of study effecting the motivation strategy. And Model II is hypothesized path model of the mediation between goal orientation and 'learning strategy and self-handicapping tendency' by 'self-efficacy, achievement need, and entity theory' to explore variables of study effecting the motivation strategy. Based on these models, structural equation modeling techniques are used to evaluate for the path model among goal orientation(learning, performance approach, and performance approach goal orientation), self-efficacy, achievement need, entity theory of intelligence, self-handicapping tendency, and learning strategy in chemistry education. As the results, Model II is considered. Goodness-of-fit indexes of this model related modification models are identified and analyzed in phases. And this model is accomplished by correcting the model the fifth time to enhance goodness-of-fit indexes. In this optimal model II-5 (Fig. 3) on causal relationships of the motivations to learn and learning strategy (p

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.147-161
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• 2022

The purpose of the study was to investigate mothers' beliefs and executions in the social relations area of the 2019 revised Nuri curriculum, and to investigate the effects of beliefs and executions on the emotional intelligence and prosocial behavior of young children. For this purpose, data were collected by distributing questionnaire packets to 268 mothers of children aged 3-5 years who were enrolled in 7 early childhood education institutions in Gyeonggi-do. The collected data were analyzed using the SPSS 25.0 program. As a result of the study, first, there was a statistically significant difference in the overall belief according to the mother's personal characteristic, the educational level, and a significant difference in the sub-factor, living together, in the execution. Second, it was found that there was a significant positive correlation between all variables except for the relationship between social relation execution and the ability to regulate others, which is a sub-factor of emotional intelligence. Third, beliefs and executions in social relation were found to affect all emotional intelligence and pro-social behavior, except for the effect of social relation execution on the ability to regulate others. This study is expected to provide basic data to improve parents' interest in the improvement of young children's social ability and practical interaction in child rearing.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.215-219
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• 2002

인터넷의 급속한 성장으로 e비즈니스의 인터넷 사용이 증대되었다. 인터넷 환경에서는 새로운 인터넷 사용자라는 소비자를 대상으로 인터넷 소비자 행동에 관한 연구가 중요한 분야로 자리잡게 되었다. 인터넷상에서의 소비자 행동을 설명하기 위해 온라인 인지절차 (Cognitive process)에 관한 연구로, 웹 사이트에 대한 소비자의 태도에 미치는 영향을 밝히는 연구들이 수행되었다. 웹 사이트에 대한 소비자의 태도에 따른 개인화된 마케팅을 위해서는 웹사이트를 소비자의 특성을 고려해서 개인화된 웹사이트를 운영해야 한다. 개인의 정보 시스템 사용에 대한 설명을 위하여 많은 모형들이 개발되어 왔다. 기술 수용 모형(Technology Acceptance Model: TAM)은 개인의 정보 시스템 수용에 영향을 미치는 요소를 설명하기 위하여 가장 폭 넓게 사용되고 있는 모형이다. TRA 모형에 따르면, 개인의 사회적 행위는 그 행위의 결과에 대한 신념에 의해 영향을 받는다고 할 수 있다. 본 연구에서는 고객의 신념을 신뢰 (Trust), 유용성 (Usefulness), 사용의 편의성 (Ease of Use), 위험 (Risk), 보안통제 (Security control)로 분류하고, 고객의 실제 사용 (Usage)을 인터넷 뱅킹 환경에서 측정하여 고객세분화에 적용하였다. 세분화된 고객집단을 분류하기 위해서 인공신경망, 판별 분석 기법을 적용하여 웹 사이트에서 사용할 수 있는 개인화 모형을 개발하였다.

• Korean Journal of Child Studies
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• v.29 no.6
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• pp.15-33
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• 2008

The purpose of this study was to investigate which variables predicted preschoolers' pro-social behavior. Subjects consisted of 250 preschooler-mother pairs; children were 3 to 6 years of age Children's emotional intelligence and pro-social behavior were assessed by classroom teachers. Data on the mothers' socialization beliefs and strategies as well as children's temperament were gathered through maternal self-reported questionnaires. Data were analyzed by descriptive statistics, t-tests, correlation and regression analyses. Results showed that children's temperament (withdrawal predisposition) and emotional intelligence (self emotional expression) predicted children's pro-social behavior. Mothers' perceptions of the importance of pro-social behavior correlated negatively with children's pro-social behavior.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.703-708
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• 2023

The current study investigates VPA usage (i.e.,continuance intention of use, WOM intention) of by Theory of Planned Behavior (i.e.,attitude toward to VPA, subjective norm, perceived behavioral control) and perceived value/risk. The results show that (1) attitude toward to VPA, subjective norm, perceived behavioral control, and perceived value positively predicted the continuance intention of VPA use. Regarding WOM of intention, there were positively significant effects of the attitude toward to VPA, subjective norm, perceived behavioral control, and perceived value. The results of this study are expected to provide a variety of practical and theoretical implications in promising artificial intelligence market by the impact of TPB (i.e.,attitude toward to VPA, subjective norm, perceived behavioral control) and perceived values of VPA.

• Korean Journal of Comparative Education
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• v.23 no.5
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• pp.1-18
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• 2013

Self-theories regarding general intelligence and English ability were measured from two countries (Korea and Pakistan) and their relationships with self-reported overall academic achievement and English language achievement were examined. No significant mean differences between the two countries were found regarding college students' self-theories. There were significant mean differences in overall academic achievement and English achievement between the two countries. Both the overall academic achievement and English achievement were significantly correlated with various self-theories while taking both samples together. Achievement measures were predicted by self-theories of general intelligence and English language ability. The current study highlighted the relationship between self-theories about general intelligence and English language ability and their relationship with self-reported achievement in two cultural contexts. This research also introduced new instruments to measure self-theories that can be used in studying self-theories in different domains.

• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.85-92
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• 2017

Recently, in the field of video surveillance, a Deep Learning based learning method has been applied to a method of detecting a moving person in a video and analyzing the behavior of a detected person. The human activity recognition, which is one of the fields this intelligent image analysis technology, detects the object and goes through the process of detecting the body keypoint to recognize the behavior of the detected object. In this paper, we propose a method for Body Keypoint Localization based on Object Detection using RGB-D information. First, the moving object is segmented and detected from the background using color information and depth information generated by the two cameras. The input image generated by rescaling the detected object region using RGB-D information is applied to Convolutional Pose Machines for one person's pose estimation. CPM are used to generate Belief Maps for 14 body parts per person and to detect body keypoints based on Belief Maps. This method provides an accurate region for objects to detect keypoints an can be extended from single Body Keypoint Localization to multiple Body Keypoint Localization through the integration of individual Body Keypoint Localization. In the future, it is possible to generate a model for human pose estimation using the detected keypoints and contribute to the field of human activity recognition.