• 제목/요약/키워드: Social learning theory

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지역혁신체제와 사회적 자본 (Regional Innovation System and Social Capital)

  • 한성안
    • 기술혁신연구
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    • 제12권1호
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    • pp.135-160
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    • 2004
  • We witness now the changing techno-economic paradigm and the emerging learning economy. Reflecting on these changes, the group of Evolutionary Economists study recently the theory on regional innovation system, but their research results are still now not theoretically ‘systemized’. Moreover, they often indeed speak of the ‘social capital’, but do not investigate that. This paper tries to systemize their empirical findings and theoretical results and integrate the discussions on social capital in fields of sociology into a mathematical model. This study emphasizes the role of social capital in the innovating process.

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동료 간 지식공유에 관한 연구: 동료관계의 질과 목표성향의 상호작용효과 (Knowledge Sharing in Co-worker Relationships: Interaction Effect of Quality of Co-worker Exchange and Learning Goal Orientation)

  • 김보영
    • 지식경영연구
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    • 제17권4호
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    • pp.147-162
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    • 2016
  • Knowledge sharing has many benefits; however, employees are generally reluctant to share their knowledge with co-workers. This reluctance can be attributed to the facts that sharing knowledge involves the threat of losing personal competitiveness and the codification of knowledge for sharing requires additional effort. This study explains why employees engage in knowledge sharing despite the threat and cost of sharing knowledge. Specifically, it examines the effects of the quality of co-worker exchange (CWX) on knowledge sharing and the moderating effect of learning goal orientation on the relationship between CWX and knowledge sharing. Data from 186 individuals indicate that there is a positive relationship between CWX and knowledge sharing, and that this relationship is strengthened when learning goal orientation is low rather than when it is high. The theoretical and practical implications of the findings are also discussed.

또래집단의 비행경험이 초등학생 비행경험에 미치는 영향: 공격성의 매개효과를 중심으로 -남녀 초등학생 비교- (The impact of exposure to peer delinquency in elementary school students and the mediating effect of aggression: Comparison between male and female elementary school students)

  • 이상훈;최보람;김성희;정규형
    • 한국아동복지학
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    • 제58호
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    • pp.205-229
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    • 2017
  • 본 연구의 목적은 성별에 따른 초등학생 또래집단의 비행경험이 초등학생 비행경험에 미치는 영향을 살펴보고, 공격성의 매개적 역할 차이가 있는지 검증하는데 있다. 이를 위해 한국보건사회연구원에서 실시하고 있는 한국복지패널자료(KoWePS) 중 10차(2015년) 아동부가조사 자료 458명(남학생 220명, 여학생 238명) 사례를 활용해 분석하였다. 연구의 이론적 배경으로는 Bandura의 사회학습이론과 Akers의 사회학습이론, Sutherland의 차별적 접촉이론의 학습기제가 적용되었다. 분석 결과 첫째, 성별에 따른 초등학생의 또래집단 비행경험, 공격성, 비행 경험의 차이는 통계적으로 유의미하게 나타나지 않았다. 둘째, 남학생의 또래집단의 비행경험은 자신의 비행경험에 통계적으로 유의미한 영향을 미치는 것으로 나타났으나 여학생은 영향을 미치지 않는 것으로 분석되었다. 셋째, 남학생의 경우 공격성이 또래집단 비행경험과 자신의 비행경험 간의 관계에서 매개효과가 있는 것으로 나타났으나, 여학생의 경우 매개효과가 없는 것으로 분석되었다. 본 연구의 결과를 바탕으로 초등학생의 비행 문제에 악영향을 미치는 또래집단의 비행경험 접촉 빈도 및 공격성을 낮추기 위한 실천적, 정책적 개입 방안을 제시하고자 한다.

퍼지 로직을 이용한 문화 패러다임 기반의 로봇 성격 개발 (Development of a Robot Personality based on Cultural Paradigm using Fuzzy Logic)

  • Qureshi, Favad Ahmed;Kim, Eun-Tai;Park, Mi-Gnon
    • 한국지능시스템학회:학술대회논문집
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    • 한국지능시스템학회 2008년도 춘계학술대회 학술발표회 논문집
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    • pp.385-391
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    • 2008
  • Robotics has emerged as an important field for the future. It is our vision that robots in future will be able to transcend these precincts and work side by side humans for the greater good of mankind. We developed a face robot for this purpose. However, Life like robots demands a certain level of intelligence. Some scientists have proposed an event based learning approach, in which the robot can be taken as a small child and through learning from surrounding entities develops its own personality. In fact some scientists have proposed an entire new personality of the robot itself in which robot can have its own internal states, intentions, beliefs, desires and feelings. Our approach should not only be to develop a robot personality model but also to understand human behavior and incorporate it into the robot model. Human's personality is very complex and rests on many factors like its physical surrounding, its social surrounding, and internal states and beliefs etc. This paper discusses the development of this platform to evaluate this and develop a standard by a society based approach including the cultural paradigm. For this purpose the fuzzy control theory is used. Since the fuzzy theory is very near human analytical thinking it provides a very good platform to develop such a model.

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의학교육에서의 사회적 구성주의의 활용 (Application of Social Constructivism in Medical Education)

  • 김영전
    • 의학교육논단
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    • 제22권2호
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    • pp.85-92
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    • 2020
  • The purpose of this study is to discuss the main principles and concepts of social constructivism, examine the literature on the application of social constructivism in medical education, and explore the meaning and limitations of the utilization of social constructivism with learning theory. A literature search was carried out in two stages, utilizing PubMed, CINAHL and Education Source databases. The first search included both fields (social constructivism AND medical education), while the second search was performed by subject (Vygotsky or ZPD or zone of proximal development or scaffolding AND medical education). A total of 96 papers were found through the first and second searches, and after reviewing the abstracts of all 96 papers, 41 papers were deemed suitable for research purposes. In medical education, social constructivism is applied in areas such as (1) social and cultural behaviors (hidden curriculum), (2) social construct of "meaning" (dialogue and discourse), (3) learner's identity transformation (expert), and (4) instructional intervention (ZPD and scaffolding). Social constructivism has provided many ideas to explore in terms of the composition of knowledge in the sociocultural context of health care, but it has not demonstrated an explicit instructional method or educational effects.

사이버비행 요인 파악 및 예측모델 개발: 혼합방법론 접근 (Juvenile Cyber Deviance Factors and Predictive Model Development Using a Mixed Method Approach)

  • 손새아;신우식;김희웅
    • 한국정보시스템학회지:정보시스템연구
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    • 제30권2호
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    • pp.29-56
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    • 2021
  • Purpose Cyber deviance of adolescents has become a serious social problem. With a widespread use of smartphones, incidents of cyber deviance have increased in Korea and both quantitative and qualitative damages such as suicide and depression are increasing. Research has been conducted to understand diverse factors that explain adolescents' delinquency in cyber space. However, most previous studies have focused on a single theory or perspective. Therefore, this study aims to comprehensively analyze motivations of juvenile cyber deviance and to develop a predictive model for delinquent adolescents by integrating four different theories on cyber deviance. Design/methodology/approach By using data from Korean Children & Youth Panel Survey 2010, this study extracts 27 potential factors for cyber deivance based on four background theories including general strain, social learning, social bonding, and routine activity theories. Then this study employs econometric analysis to empirically assess the impact of potential factors and utilizes a machine learning approach to predict the likelihood of cyber deviance by adolescents. Findings This study found that general strain factors as well as social learning factors have positive effects on cyber deviance. Routine activity-related factors such as real-life delinquent behaviors and online activities also positively influence the likelihood of cyber diviance. On the other hand, social bonding factors such as community commitment and attachment to community lessen the likelihood of cyber deviance while social factors related to school activities are found to have positive impacts on cyber deviance. This study also found a predictive model using a deep learning algorithm indicates the highest prediction performance. This study contributes to the prevention of cyber deviance of teenagers in practice by understanding motivations for adolescents' delinquency and predicting potential cyber deviants.

사회구성주의의 재검토: 기술사와의 논쟁을 중심으로 (Social Constructivism Revisited Focusing on the Controversies with History of Technology)

  • 송성수
    • 과학기술학연구
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    • 제2권2호
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    • pp.55-89
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    • 2002
  • 이 논문의 목적은 기술사의 관점에서 사회구성주의의 주요 이슈를 검토하고 평가하는 데 있다. 사회구성주의 기술학은 기술변화에 대한 대안적 설명으로서 다양한 비판에 적극적으로 대응하는 가운데 자신의 논지를 발전시켜 왔다. 특히 사회구성주의와 기술사는 $\ulcorner$기술과 문화$\lrcorner$를 통해 서술과 이론에 관한 논쟁, 신뢰성과 퍼포먼스에 관한 논쟁, 자전거 변천과정의 사례에 관한 논쟁을 전개해 왔다. 기술사 연구자의 입장에서 볼 때 사회구성주의는 새로운 전문용어를 남용하고 있고 역사적 자료의 사용이 엄밀하지 못하며 연구 대상에 따른 제약을 충분히 고려하지 않고 있다. 또한 사회구성주의를 한국에 적용하기 위해서는 역사적 자료의 미비, 기술학습의 중요성, 관련사회집단의 특수성 등의 문제에 주의를 기울여야 한다.

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Millennials' Online Apparel Purchase Decisions through Social Interactions

  • Son, Jihyeong;Sun, Jing;Hughes, Amy
    • Fashion, Industry and Education
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    • 제15권1호
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    • pp.44-58
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    • 2017
  • The purpose of this research is to explore how Millennials mitigate perceived risks that occur during online apparel purchasing decisions through social interactions based on social learning theory. Also, this research investigates concerns generated from interactions with others when consuming apparel online. An exploratory investigation was undertaken with 78 undergraduate students using an online survey that included open and closed questions. Qualitative data revealed positive relationships between consumers' social interactions and purchases of apparel products online. Specifically, information searches through social interactions with trusted individuals utilizing online channels were found to validate purchasing decisions and alleviate perceived risks with purchasing apparel products online. However, consumers were also concerned with certain interactions due to the lack of credibility regarding reviewers, channels, and conflicting information. These findings provide an insight into millennial consumers' learning processes through consumer-to-consumer interactions in social media environments for apparel purchases. As online and mobile shopping along with consumers' social media usage for interacting continue to increase, these research findings guide retailers how to turn their attention to investing and utilizing these channels to enhance millennial consumers' positive purchasing experiences online.

의과대학생을 위한 체제적 진로상담 모델과 전략 (A Systematic Career Advising Model and Strategies for Medical Students)

  • 이영희
    • 의학교육논단
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    • 제24권3호
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    • pp.193-204
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    • 2022
  • One of the important roles of medical schools is to support medical students in deciding upon their future career path or choosing their specialty. The purpose of this study is to suggest a career advising model and strategies for medical students through a systematic approach. This study consists of three parts. The first part introduces some main career theories: super's career development theory, career decision-making theory, social cognitive career theory, and ecosystem theory. The second part proposes a systematic career advising model using the results acquired from previous studies and theories. This model considers a medical school as a social system that consists of two domains (internal and external). This social system is considered as a complex where various factors interact with each other: students' individual characteristics, institutional policies and culture, curriculum and learning experience, students' perceived specialty characteristics, and aspects of the external environment such as healthcare systems. The third part suggests some career advising strategies based on a systematic approach that medical schools can apply. These research results can be used for designing career advising courses for medical students, integrating various career advising programs and resources of medical schools, and evaluating the outcomes of career advising programs at an institutional level.

스마트 러닝 이용자의 학습 동기요인이 실용적 가치와 헤도닉 가치를 통해 교육성과에 미치는 영향 (The Effect of Smart Learning User' Learning Motivation Factors on Education Achievement through Practical Value and Hedonic Value)

  • 문정원;권두순;김성준
    • 디지털산업정보학회논문지
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    • 제17권3호
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    • pp.63-83
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    • 2021
  • The appearance of education is also rapidly changing in social changes represented by social networks. And the development of information and communication technology is also having a widespread effect on the education field. In the era of untact caused by Covid-19, education through smart learning is having a greater effect on students as well as adult learners more quickly and broadly. In addition, smart learning is not just limited to learning content, but is developing into personalized, convergence, and intelligent. The purpose of this study is to identify the factors of ARCS motivation theory that can determine the learning motivation of smart learning users, and to empirically study the casual relationship between these factors on education achievement through practical value and hedonic value. Specifically, I would like to examine how the independent variables ARCS motivation factors (attention, relevance, confidence, and satisfaction) affect learners' education achievement through the parameters of practical value and hedonic value. To this end, a research model was presented that applied the main variables of attention, relevance, confidence, and satisfaction, which are four elements of ARCS motivation theory, a specific and systematic motivational strategy to induce and maintain learners' motivation. In order to empirically verify the research model of this study, a survey was carried out on learners with experience using smart learning. As a result of the study, first attention was found to have a positive effect on the hedonic value. Second, relevance was found to have a positive effect on the hedonic value. Third, it was found that confidence did not have a positive effect on the practical value and the hedonic value. Forth, satisfaction was found to have a positive effect on the practical value and the hedonic value. Fifth, practical value was found to have a positive effect on the education achievement. Sixth, hedonic value was found to have a positive effect on the education achievement. Through this, it can be seen that the intrinsic motivation of learners using smart learning affects the education achievement of users through intrinsic and extrinsic value. A variety of smart learning that combines advanced IT technologies such as AI and big data can contribute to improving learners' education achievement more effectively and efficiently. Furthermore, it can contribute a lot to social development.