• International Journal of Computer Science & Network Security
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• 제23권8호
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• pp.101-106
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• 2023

In this busy world actually stress is continuously grow up in research and monitoring social websites. The social interaction is a process by which people act and react in relation with each other like play, fight, dance we can find social interactions. In this we find social structure means maintain the relationships among peoples and group of peoples. Its a limit and depends on its behavior. Because relationships established on expectations of every one involve depending on social network. There is lot of difference between emotional pain and physical pain. When you feel stress on physical body we all feel with tensions, stress on physical consequences, physical effects on our health. When we work on social network websites, developments or any research related information retrieving etc. our brain is going into stress. Actually by social network interactions like watching movies, online shopping, online marketing, online business here we observe sentiment analysis of movie reviews and feedback of customers either positive/negative. In movies there we can observe peoples reaction with each other it depends on actions in film like fights, dances, dialogues, content. Here we can analysis of stress on brain different actions of movie reviews. All these movie review analysis and stress on brain can calculated by machine learning techniques. Actually in target oriented business, the persons who are working in marketing always their brain in stress condition their emotional conditions are different at different times. In this paper how does brain deal with stress management. In software industries when developers are work at home, connected with clients in online work they gone under stress. And their emotional levels and stress levels always changes regarding work communication. In this paper we represent emotional intelligence with stress based analysis using machine learning techniques in social networks. It is ability of the person to be aware on your own emotions or feeling as well as feelings or emotions of the others use this awareness to manage self and your relationships. social interactions is not only about you its about every one can interacting and their expectations too. It about maintaining performance. Performance is sociological understanding how people can interact and a key to know analysis of social interactions. It is always to maintain successful interactions and inline expectations. That is to satisfy the audience. So people careful to control all of these and maintain impression management.

• 인간식물환경학회지
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• 제24권6호
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• pp.651-662
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• 2021

Background and objective: This study identifies whether children's planning-organizing executive function can be significantly classified and predicted by home environment quality and wealth factors. Methods: For empirical analysis, we used the data collected from the 10th Panel Study on Korean Children in 2017. Using machine learning tools such as support vector machine (SVM) and random forest (RF), we evaluated the accuracy of the model in which home environment factors classify and predict children's planning-organizing executive functions, and extract the relative importance of variables that determine these executive functions by income group. Results: First, SVM analysis shows that home environment quality and wealth factors show high accuracy in classification and prediction in all three groups. Second, RF analysis shows that estate had the highest predictive power in the high-income group, followed by income, asset, learning, reinforcement, and emotional environment. In the middle-income group, emotional environment showed the highest score, followed by estate, asset, reinforcement, and income. In the low-income group, estate showed the highest score, followed by income, asset, learning, reinforcement, and emotional environment. Conclusion: This study confirmed that home environment quality and wealth factors are significant factors in predicting children's planning-organizing executive functions.

• 농촌지도와개발
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• 제22권3호
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• pp.321-332
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• 2015

For the purpose of enhancing the use of social service in classrooms, this research focuses on the relationships between presence and learning flow, key words in the analysis of college classes using Facebook. The results of this study are as follow. First, social presence(${\ss}=.33$, p=.000), emotional presence(${\ss}=.29$, p= .000), cognitive presence(${\ss}=.20$, p= .010) were found to be significant according to cognitive flow experience the result of analysis of multiple regression. all regression coefficients were positive. Second, emotional presence(${\ss}=.42$, p=.000) and social presence(${\ss}=.27$, p=.000), cognitive, presence(${\ss}=.17$, p=.015) were found to be significant according to emotional flow experience the result of analysis of multiple regression. all regression coefficients were positive. Third, social presence(${\ss}=.37$, p=.000) of the three variables were found to be significant according to behavioral flow experience the result of analysis of multiple regression.

• 가정과삶의질연구
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• 제30권4호
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• pp.59-75
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• 2012

The purpose of the study shall be to achieve an understanding of learning and emotional support services for adolescents being raised by their grandparents. In-depth interview and qualitative methodology were used to find changes in the service experiences of 10 adolescents being raised by their grandparents by analyzing their experiences at a health family support center. 1 agency in the Chungnam area was selected as a model for its program for adolescents being raised by their grandparents. Ultimately, 78 items as sub-concepts, 44 items as sub-categories, and 4 items as subjects were identified. Specifically, these included school achievement, peer group relationship, family relationship and significant others. In conclusion, they were found to experience slower physical and emotional development and tend to withdraw in social situations. They were also found to have experienced difficulties in communicating with other people and with school achievement. However, it was shown that these adolescents have made positive changes after participating in a program involving a family coach who supports and provides services for them. Also, they were found to have experienced psychologically changes, and improved in their school achievement and personal relationships. Consequently, we will require more effort to provide emotional support, adult role models, counseling intervention, and social support for them.

• 문화기술의 융합
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• 제10권1호
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• pp.489-493
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• 2024

행복 지수는 집단적인 행복 정도를 직관적으로 파악하는데 효과적인 측정 시스템이다. 가치관의 변화에 따라행복 지수에 행동의 가치를 추가한 연구들이 제안되고 있으나, 개인이 느끼는 감정을 활용하여 관계성을 분석한 연구는 부족한 실정이다. 따라서 본 연구는 행동의 가치를 나타내는 사회적 변수와 개개인의 감정지수를 함께 고려해 행복 지수를 예측하는 딥러닝 모델을 설계한다. 첫째, 2005년 1월 ~ 2020년 12월의 사회적, 감정적 변수를 수집한다. 둘째, 데이터 전처리 및 유의변수 탐색을 수행한다. 셋째, 딥러닝 기반의 회귀 모델로 학습하고, 5-Fold 교차 검증(Cross Validation)으로 학습 모델을 평가한다. 본 연구의 제안 모델은 테스트 데이터에서 90.65%의 높은 예측 정확도를 보인다. 향후 이 연구는 국가별 데이터로 확대 적용하여 행복 지수 주요 요인 분석 등의 연구에 활용될 수 있을 것으로 기대된다.

• 컴퓨터교육학회논문지
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• 제14권1호
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• pp.91-109
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• 2011

본 연구는 튜터의 존재감이 낮은 이러닝 환경에서 인간 튜터를 대신하거나 이를 보완할 수 있는 존재로서 개인화된 e-튜터를 설계하고 개발하는 것을 목적으로 한다. 본 연구에서는 인간 튜터가 기존에 수행했던 인지적, 감성적, 사회적 측면에서의 학습지원 역할에 근거하여 14개의 학습지원요소를 규명하고, 학습자의 학습상태에 따라 개인화된 학습지원을 제공할 수 있도록 e-튜터를 설계하고 개발하였다. 본 연구에서 개발된 개인화된 e-튜터의 학습지원에 대한 유용성 검증은 기업에 종사하는 202명의 성인학습자들을 대상으로 학습지원의 유용성 설문을 통해 조사되었다. 본 연구는 e-튜터를 적용하고자 하는 차세대 이러닝 시스템의 설계와 개발에 대한 지침을 제공하고, 인지적 학습 경험이 주를 이루었던 이러닝에 감성적, 사회적 경험을 추가함으로써 이러닝의 질적 수준을 높일 수 있기를 기대한다.

• 한국심리학회지 : 문화 및 사회문제
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• 제24권1호
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• pp.29-47
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• 2018

사회적 상황은 개인의 정보처리와 정서경험에 영향을 주는가? 본 논문에서는 두 개의 연구를 통해 사회적 정보처리와 자기참조효과 및 정서경험의 관계를 검증하였다. 연구 1에서는 외부의 명시적 지시없이도 자기개념이 자동적으로 활성화되어, 도형과제를 통해 자신과 연관된 자극의 처리가 친구/타인과 연관된 자극의 처리보다 더 수월한지를 검증했다. 그 결과 자신을 표상하는 자극의 처리가 친구/타인에 대한 자극처리보다 더 촉진되는 경향이 나타났다. 연구 2에서는 참가자들에게 다양한 단어를 보여주고, 자신이 선택한 단어 또는 친구가 선택한 단어라는 설명과 함께 제시된 단어에 대한 기억을 비교하였다. 그 결과 참가자들은 혼자 과제를 수행하는 비사회적 조건에서 친구와 함께 과제를 수행하는 사회적 조건보다 자신이 선택한 단어를 더 많이 기억하는 경향이 나타났다. 이에 비해 사회적 조건에서는 참가자들이 친구가 선택한 단어를 자신이 선택한 단어보다 더 많이 기억하였다. 또한 사회적 조건에서는 실험상황에서 초콜릿 경험에 대해 보고한 긍정적 정서의 강도가 비사회적 조건보다 더 높게 나타났다. 이 결과는 사회적 정보처리가 자동적 자기참조효과를 감소시키며, 타인과의 경험공유는 정서경험을 증폭시킬 가능성을 시사한다.

• 한국사회복지학
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• 제47권
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• pp.148-177
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• 2001

Service learning usually has two aspects. One aspect is associated with applying class learning to related fields. The other aspect is associated with challenging and dynamic volunteering experiences. This study examined experiences of 70 social work students who took service learning courses at a university. After the courses, these students were asked regarding (1) evaluation and satisfaction of overall service learning experiences, (2) evaluation of service learning contents and the following activities, (3) the process of volunteering activities, and (4) the differences between service learning courses and other regular courses. Results were as follows: students generally regarded service learning experiences as positive; students reported understanding of social work practice and learning of professional skills; however, the service learning courses seemed to be very demanding in time and adjusting personal schedules; teamwork among students seemed to be good, especially in cooperation and emotional support; however, some students reported struggling experiences in allocating roles among team members; finally, the relationship between students and social workers at the agencies and the coordination of community resources seemed to be weak. In order for service learning courses to be more effective, this study presented some suggestions in the conclusion.

• 산업진흥연구
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• 제9권1호
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• pp.213-221
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• 2024

본 연구는 중국 고등학생을 대상으로 학습동기와 그릿이 정서지능과 학습몰입의 관계에서 이중매개하는지를 확인하는데 연구의 목적이 있다. 자료는 중국의 한 고등학교에서 유의표집한 고등학생 304명을 대상으로 설문조사를 통하여 수집하였다. 수집한 자료는 SPSS PC+ Win ver. 25.0과 SPSS PROCESS macro ver. 4.2를 활용하여 분석하였다. 적용된 통계방법은 빈도분석, 신뢰도 분석, 상관분석 및 이중매개효과 분석이었다. 연구의 결론은 다음과 같다. 첫째, 정서지능, 학습동기, 그릿 및 학습몰입은 모두 정적인 유의미한 상관관계를 보였다. 둘째, 고등학생들의 학습동기와 그릿이 정서지능과 학습몰입의 관계에서 이중매개하였다. 이러한 결과를 토대로 본 연구는 고등학생들의 정서지능만이 아니라 학습동기와 그릿을 활용하여 학업몰입을 증진키실 수 있는 방안을 제언하였다.

• Journal of Information Technology Applications and Management
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• 제21권3호
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• pp.65-77
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• 2014

Ubiquitous learning has aroused great interest and is becoming a new way for foreign language education in today's society. However, how to increase the learners' initiative and their community cohesion is still an issue that deserves more profound research and studies. Emotional intelligence can help to detect the learner's emotional reactions online, and therefore stimulate his interest and the willingness to participate by adjusting teaching skills and creating fun experiences in learning. This is, actually the new concept of smart education. Based on the previous research, this paper concluded a neural mechanism model for analyzing the learners' emotional characteristics in ubiquitous environment, and discussed the intelligent monitoring and automatic recognition of emotions from the learners' speech signals as well as their behavior data by multi-agent system. Finally, a framework of emotional intelligence system was proposed concerning the smart foreign language education in ubiquitous learning.