• 영재교육연구
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• 제13권1호
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• pp.97-116
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• 2003

본 연구의 목적은 유아기의 지능과 정서 지능이 어떤 관계를 가지고 있으며, 지능의 수준과 성별에 따라 정서 지능이 집단 간에 어떠한 차이를 보이는지 알아봄으로써 일반 아동 교육 및 효과적인 영재 교육과정의 개발과 구성을 위한 이해의 바탕을 시사받는 데 있다. 이를 위해 만 5, 6세 유아 104명을 대상으로 지능과 정서 지능의 관계 및 지능 수준과 성별에 따른 정서지능의 차이를 알아본 결과는 다음과 같다. 첫째, 유아의 지능과 정서 지능 간에는 유의미한 상관관계가 있는 것으로 나타났다. 둘째, 지능을 상$.$중$.$하집단으로 나누었을 때, 정서 지능 총점과 감정이 입, 정서 조절에서 집단 간의 유의미한 차이가 있었다. 셋째, 유아의 정서 지능에서 남녀간의 유의한 차이가 나타났고, 여아가 남아보다 정서 지능 총점에서 높은 점수를 나타냈으며 각 하위 요인별로는 감정이입, 정서조절에서 여아가 더 높은 점수를 나타내었다. 이상의 연구 결과를 종합해 볼 때, 본 연구의 경우 지능과 정서 지능은 서로 대립되는 개념이 아닌 서로 상보적인 역할을 할 수 있다는 점에서 지능과 정서 지능이 유의한 정적 상관관계에 있다는 결과를 얻었다.

• 품질경영학회지
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• 제46권3호
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• pp.677-694
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• 2018

Purpose: The purpose of this study is to investigate various prior studies on artificial intelligence and to examine the concept and characteristics of various prior studies of existing service quality. And this paper is to study the concept and characteristics of artificial intelligence services and propose suitable quality measurement items. Methods: The research method of this paper is to examine previous research related to existing artificial intelligence and to analyze characteristics related to service quality. Results: This paper examines the concept and characteristics of artificial intelligence service in a new era by examining previous studies related to artificial intelligence and derives quality measurement items. Conclusion: In the future, it is necessary to verify the validity of the quality measurement items of artificial intelligence service. Therefore, it is necessary to elicit and verify the main quality measurement items through the investigation of the expert group.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2021년도 추계학술발표대회
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• pp.787-790
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• 2021

본 논문에서는 최신 모션 인식 기술을 활용하여 골프 스윙 비디오에서 사람의 자세를 추정한 후 다양한 원인으로 오검출된 좌표들을 보정하여 자세 추정의 정확도를 높이는 방법을 제안한다. 기존의 사람 자세 추정 모델은 골프 스윙 데이터에서 오검출, 반전, 불안정성, 미검출의 문제를 보여 정확한 자세 추정을 어렵게 했다. 이를 해결하기 위하여 본 연구에서는 자세 추정시 발생하는 이상치 데이터들을 Bi-LSTM 으로 학습하고 골프 스윙의 특징을 고려한 간단한 규칙을 통하여 이상치 데이터를 효과적으로 검출하고 이를 보정하는 방법을 제안한다. 또한 다양한 실험과 분석을 통하여 제안하는 방법이 골프 스윙 모션에서 사람의 자세를 정확히 추정할 수 있음을 보인다.

• 한국운동역학회지
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• 제32권3호
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• pp.69-79
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• 2022

Objective: The purpose of this study is to analyze trends related to sports and artificial intelligence (AI) to understand the trends and how they change according to time, and to establish methods to apply AI in sports. Both macro and micro perspectives related to sports utilization of AI were analyzed. Method: In this study, after analyzing and discussing various information related to the use of artificial intelligence in the sports through a search of academic journals, papers, books, and websites published recently at nationally and internationally, the application plan of artificial intelligence in the sports field was presented. Results: 1) Motion analysis technology using artificial intelligence is effective in sports where posture is important, and if it provides systematic feedback and training methods, it can help improve performance. 2) The introduction of a sports referee judgment system using artificial intelligence is expected to improve performance by restoring factual judgment and objective fairness in sports games. 3) Artificial intelligence will provide coaching staff and players with a variety of information to help improve performance through systematic coaching and improving feedback and enhanced training methods. 4) It is judged that artificial intelligence-related to sports ethics, sports ICT, sports marketing, sports prediction, etc. We think that based on the current AI research trends will have a positive impact on all sports-related areas, helping to revitalize sports. Conclusion: Motion analysis technology using artificial intelligence, sports referee judgment system, coaching using artificial intelligence, and artificial intelligence are judged to have a positive effect on all sports-related areas and help revitalize sports.

• 한국융합학회논문지
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• 제11권12호
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• pp.1-13
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• 2020

지능정보사회에 진입함에 따라 인공지능 교육에 대한 연구가 활발히 진행되었지만, 선행 연구에서 연구 대상은 편중되어 있고, 인공지능에 대한 태도를 분석하는 연구가 진행되지 않았다. 따라서 본 연구에서는 고등학생의 인공지능을 측정할 수 있는 검사 도구를 개발하고, 개발한 검사 도구를 통하여 고등학생의 인공지능에 대한 태도를 분석하였다. 검사 도구 개발을 위하여 예비 검사 도구를 고등학생 229명에게 적용하고, 검사 결과를 탐색적 요인 분석으로 분석하였다. 고등학생의 인공지능에 대한 태도를 분석하기 위하여 검사 도구를 고등학생 481명에게 실시하고, 검사 결과를 요인에 따라 분석하였다. 연구 결과, 고등학생의 인공지능에 대한 태도는 성별에 따른 차이가 존재하지 않았지만, 학년에 따라 유의한 차이가 나타났다. 또한, 인공지능 관련 경험에 따라 고등학생의 인공지능에 대한 태도는 유의한 차이가 존재하였다. 인공지능의 직, 간접 경험, 프로그래밍 경험, 인공지능 활용 경험이 있는 고등학생은 경험이 없는 학생보다 인공지능에 대한 태도가 긍정적이었다. 반면에 인공지능 교육 경험은 고등학생의 인공지능에 대한 태도가 부정적으로 변화하는 데 영향을 주었다. 마지막으로 인공지능에 대한 관심이 높을수록 고등학생의 인공지능에 대한 태도가 긍정적인 것으로 나타났다.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2006년도 춘계학술대회
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• pp.86-91
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• 2006

Companies had to be more intelligent in order to survive in the rapidly changing environments. We need to make a decision to build the Information System to support their decision making. But, how can we know the new system would be better than the old system in making us intelligent? The answer is we can do it with the concept of Intelligence Density. In this study, Intelligence Density concept will be introduced, and the way how it can be applied to the information system will be presented. I think Intelligence Density should be studiedmoretohelpmanagersmakerightdecisions.

• 한국초등과학교육학회지:초등과학교육
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• 제37권2호
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• pp.126-146
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• 2018

The current study explores students' views about artificial intelligence (AI) through analyses of their drawings and perceptions. The data were gathered from a total of 177 elementary school students. The constant comparative analysis was used as the data analysis method. Based on the result, the current study found that students' views about artificial intelligence were constructed into two distinct dimensions: form and relationship. The form dimension, students' views about artificial intelligence were categorized into human, household goods, machine, smart computer, electronic chip/algorithm, or the hybridized form related to the game of go such as AlphaGo. On the relationship dimension, students' views about artificial intelligence were categorized into servants, friends or enemy. Given the combination of two dimensions, the current study found two noted patterns. The first, students who viewed artificial intelligence as human form perceived artificial intelligence as a friend or an enemy. However, those who viewed artificial intelligence as non-human form perceived artificial intelligence as a servant or an enemy. Based on these results, educational implications related to the preparation of artificial intelligence era for elementary science education are discussed.

• The Journal of Asian Finance, Economics and Business
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• 제9권5호
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• pp.53-61
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• 2022

As society evolves, people are making more of an effort to learn more about human aspects, one of which is emotional intelligence, a topic on which education experts have traditionally concentrated. This is due to the fact that emotional intelligence has a significant impact on how people think and manage their emotions. On the other side, it promotes the development of expressive ability and aids people in better adapting to life. This study explores the relationship between communication skills, leadership skills, stress management, adaptability, and emotional intelligence of FPT University students to determine the factors that affect students' emotional intelligence. To survey 500 FPT University students, this study used a sample size of 500. Previous studies used a 5-point Likert scale to assess the four skill elements. According to the results, students who completed the survey showed adequate communication skills, leadership qualities, stress management, adaptability, and emotional intelligence. Emotional intelligence is influenced by communication skills, leadership abilities, stress management, and flexibility. This suggests that students who master these four skills have higher levels of emotional intelligence. The outcomes of this study reveal that students have been conscious of Emotional Intelligence since a young age. The affirmations in this research paper will benefit students and young people interested in enhancing complimentary soft skills that boost Emotional Intelligence.

• 가정간호학회지
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• 제22권2호
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• pp.228-236
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• 2015

Purpose: This descriptive study investigated the relation between nursing students' emotional intelligence and self-esteem. Methods: A cross-sectional descriptive study was employed. The subjects were 323 students from a nursing college in B City. Data were collected using questionnaires on emotional intelligence and self-esteem from October to December, 2014. Results: The nursing students scored 3.61 out of 5 in emotional intelligence and 2.92 out of 4 in self-esteem. There were significant differences between emotional intelligence and self-esteem according to age, gender, daily life stress, satisfaction with the nursing major, learning stress, subjective academic achievement, and peer relationships. Emotional intelligence also showed significant differences in accordance with the motivation to choose the nursing major and the field in high school. Positive correlations were observed between emotional intelligence and self-esteem in nursing students. Conclusions: Based on those findings, it is necessary to develop and apply an array of educational programs to help nursing students improve their emotional intelligence and self-esteem throughout the college curriculum. These efforts will also be effective in building their satisfaction with the nursing major and view of nursing profession.

• 디지털산업정보학회논문지
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• 제15권3호
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• pp.55-67
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• 2019

In this study, I researched whether consumers would adopt artificial intelligence speakers. A study was conducted on the motivations that arise when consumers want to use artificial intelligence speakers. Key motivational factors include needs and wants, and emotion is also included in the hypothesis as influencing the intended use. These factors have modeled the motivational process in which consumers want to use artificial intelligence speakers. In the empirical study, the survey was conducted and the survey data was analyzed by applying the method of analysis of the structural equation model. As a result of empirical research, consumers' expectations to meet their general needs for artificial intelligence speakers affected their expectations to meet their wants and their favorable perceptions. And consumers' expectations of meeting their quasi-desire for artificial intelligence speakers have affected their expectations of meeting the wants and affected their perception of favorability. Finally, consumers' expectations for satisfying their wants and their perception of favorability affected their intention to use artificial intelligence speakers. The implications of this study is that it helps to formulate strategies for information technology products with combined functionality. The specific components of motivation can play an important role in increasing consumers' intention to use artificial intelligence speakers.