• 한국초등과학교육학회지:초등과학교육
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• 제21권1호
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• pp.127-134
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• 2002

Although the reward based on group accomplishment in cooperative learning has a merit to emphasize interdependency, it may have some undesirable side effects such as free rider effect and sucker effect. For the purpose of reducing these side effects, this study examined how the adjustment of the reward structure affected the scholastic achievement, the perception of learning environments, and the attitude toward science class by adding individual reward to group reward. We selected 2 classes of sixth grade in an elementary school, and taught on oxygen and carbon dioxide for 13 class hours in cooperative learning strategies. Group reward was applied to one class, and both group and individual rewards were applied to the other class. Analysis of the results indicated that the achievement scores of the students under the group and individual rewards were significantly higher than those under the group reward. In addition, they had more difficulty in science class and felt less satisfied. The upper level students under the group and individual rewards were also found to exhibit more competition. Educational implications were discussed.

• 지식경영연구
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• 제7권2호
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• pp.69-96
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• 2006

The purpose of this study is to find success factors of knowledge management in Korean firms, confirm them empirically, and verify their relative importance in terms of company size and industry type. The major studies on the knowledge management were deliberately selected and interpretively analyzed to find the success factors of Korean firms. As a result of the analysis, five success factors(top management's will, evaluation reward, organizational culture, knowledge management system, organizational structure) have been found. The empirical researches to make certain whether the above five factors derived are actually true or not have been separately performed by using questionnaire method. Based on the data collected, it is found that all five factors are significant. The degree of relative importance among the success factors of knowledge management in Korean firms has been found as: (i)top management's will, (ii)organizational culture, (iii)evaluation-reward, (iv)knowledge management system, (v)organizational structure. In company size, large firm's degree of relative importance among the success factors are: (i)top management's will, (ii)organizational culture, (iii)evaluation-reward, (iv)knowledge management system, (v) organizational structure. And medium-small firm's degree of relative importance among the success factors of knowledge management in Korean firms has been found as: (i)top management's will, (ii)organizational culture, (iii) evaluation-reward, (iv)knowledge management system, (v)organizational structure. Finally, in type of industry, manufactural firm's degree of relative importance among the success factors of knowledge management in Korean firms has been found as: (i)top management's will, (ii)organizational culture, (iii)evaluation-reward, (iv)knowledge management system, (v)organizational structure. And non-manufactural firm's degree of relative importance among the success factors of knowledge management in Korean firms are: (i)top management's will, (ii)organizational culture, (iii)evaluation-reward, (iv)knowledge management system, (v)organizational structure.

• 한국초등과학교육학회지:초등과학교육
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• 제21권1호
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• pp.101-109
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• 2002

A cooperative teaming has been taken to consolidate the autonomous motivation of students and to develop a desirable attitude in a mutual cooperative atmosphere. Some studies on the reward effect showed that the reward after the evaluation, in the processes of cooperative learning, worked on students' learning motive directly, and the group reward was effective in learning attitude and the individual reward in academic achievement, respectively. Assuming that the group reward and the individual reward are organized and applied as a complex reward, the effects of rewards will appear, this study examined the effect of the complex reward on academic achievement and teaming attitude. For this study. 2 classes were randomly selected out of a elementary school in Gwangju and the teaming unit was based on chapter 4「The structure and function of plants」 in the 5-1 elementary Science textbook. This research has been done for 4 weeks after the students learned STAD for 8 weeks previously. The learning attitude was examined in pre and post tests, and the academic achievement was inspected twice at 2-week intervals after the pre test. The results were analysized by the SAS program In the case of academic achievement, both groups showed a significant improvement(p<.05). The experimental group showed no significant improvement in the first test, compared with the control group(p>.05), but after 4 weeks, it showed a significant improvement in the second test, compared with the control group(p<.05). From this result, it is identified that the reward should be done for a long time and the individual reward of the complex reward is successful in improving academic achievement. However, in the case of learning attitude, there was no meaningful difference in both groups(p>.05). But the control group showed a significant improvement, compared with the experimental group(p<.05). According to this result, it is indicated that the group reward only is more effective in improving learning attitude and complex reward can decrease the individual competition in experimental group.

• 한국공간구조학회논문집
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• 제22권2호
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• pp.39-46
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• 2022

Recently, machine learning is widely used to solve optimization problems in various engineering fields. In this study, machine learning is applied to development of a control algorithm for a smart control device for reduction of seismic responses. For this purpose, Deep Q-network (DQN) out of reinforcement learning algorithms was employed to develop control algorithm. A single degree of freedom (SDOF) structure with a smart tuned mass damper (TMD) was used as an example structure. A smart TMD system was composed of MR (magnetorheological) damper instead of passive damper. Reward design of reinforcement learning mainly affects the control performance of the smart TMD. Various hyper-parameters were investigated to optimize the control performance of DQN-based control algorithm. Usually, decrease of the time step for numerical simulation is desirable to increase the accuracy of simulation results. However, the numerical simulation results presented that decrease of the time step for reward calculation might decrease the control performance of DQN-based control algorithm. Therefore, a proper time step for reward calculation should be selected in a DQN training process.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1998년도 추계학술대회 논문집
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• pp.111-113
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• 1998

In this paper, we deal with the model to reward researchers' performance. The rewards which disregarded the preference of researchers don't satisfy researchers, but cause, only conflicts. In order to increase the researchitivity by resolving these researchers' conflicts, we design a new model on the performance rewarding system. For this purpose, we investigate preference structure on the reward of researchers by the$\ulcorner$conjoint analysis$\lrcorner$. And we propose some reasonable and practical programs to reward performance on the basis of the investigation..

• 디지털융복합연구
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• 제11권10호
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• pp.71-77
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• 2013

'선(先)편성 후(後)제작'이라는 한국의 독특한 방송외주체계로 인해 방송사와 제작사 모두 위험을 감수한다. 본 연구는 그간 저작권 귀속 논쟁과 다른 시각에서 저작권 계약에 따라 방송사와 제작사가 미래에 감당할 위험과 보상을 분석하여 계약의 공정성을 규명하려 한다. 광고, 해외 판매, 협찬과 간접광고, 부가판권, 제작비 등의 수익과 비용을 양 사는 어떻게 분배하는지 시장관행을 조사했고, 작품이 흥행에 성공했을 때와 아닐 때 각자의 수익과 지출을 예측했다. 분석결과 현행 저작권 계약 하에서 방송사는 상대적으로 낮은 위험에도 보상이 크고 제작사는 높은 위험에도 불구하고 보상이 적다는 것을 알 수 있었다. 하지만 불공정으로 보이는 계약은 수요가 적으나 공급이 많은 시장에서 발생하는 일반적인 현상이므로, 정부가 계약에 개입하는 것이 반드시 정당하다고 단정지울 수 없다.

• 한국게임학회 논문지
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• 제17권4호
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• pp.81-90
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• 2017

본 논문에서는 게이미피케이션 요소(목표, 경쟁, 보상) 중 '보상'에 주목하고, 리얼 버라이어티 쇼에 적용된 실제 사례를 연구한다. 일상적이고 사소한 보상을 주는 <1박 2일>, 비일상적이고 특별한 보상이 있는 <슈퍼스타K>, '고유한(Vernacular)' 보상이 드러나는 <윤식당>을 분석했다. 그 동안 구체적인 보상과 달리, 추상적인 성격의 고유한 보상은 약한 게이미피케이션 효과를 가져 올 것으로 여겨졌다. 그러나 비가시적인 보상에도 불구하고 <윤식당>의 출연자는 각자 개인적이고 주관적인 보상을 받았다 느꼈고, 서사구조의 완결성 또한 강화되었다. 이 결과는 리얼 버라이어티 쇼가 새롭고 다양한 보상 구조를 가질 수 있음을 보여준다.

• Safety and Health at Work
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• 제9권3호
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• pp.334-338
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• 2018

Background: With global changes in the current state of work and employment, the role of health-adverse psychosocial work environments has received increasing attention in developed as well as in rapidly developing countries. Thus, there is a need to apply valid measurement tools for monitoring and preventive purposes. This study aims to examine the factorial structure and psychometric properties of the Persian version of the effort-reward imbalance (ERI) questionnaire, assessing one of the internationally leading concepts of stressful work. Methods: This descriptive cross-sectional study of a random sample of 202 white collar employees in an industrial company in Iran analyzes the ERI scales by exploratory and confirmatory factor analysis. Moreover, aspects of construct and criterion validity are tested. To this end, correlations of ERI scales with subscales of organizational injustice, a complementary work stress model, and also the correlations of ERI scales with a questionnaire assessing psychosomatic symptoms are performed. Results: Internal consistency of the three ERI scales was satisfactoryy (Cronbach ${\alpha}$ effort: 0.76, reward: 0.79, overcommitment: 0.75). Fit indices of confirmatory factor analsis pointed to an adequate representation of the theoretical construct (e.g., adjusted goodness of fit index (AGFI): 0.73, goodness of fit index (GFI): 0.78). Negative correlations with subscales of organizational injustice supported the notion of construct validity of the ERI scales, and positive correlations of ERI scales with psychosomatic symptoms indicated preliminary criterion validity. Conclusion: The Persian version of the ERI questionnaire has acceptable psychometric properties and can be used as a valid instrument in research on this topic.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제11권8호
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• pp.331-338
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• 2022

차기 상태 천이 표상(Successor representation, SR) 기반 강화학습 알고리즘은 두뇌에서 발현되는 신경과학적 기전을 바탕으로 발전해온 강화학습 모델이다. 해마에서 형성되는 인지맵 기반의 환경 구조 정보를 활용하여, 변화하는 환경에서도 빠르고 유연하게 학습하고 의사결정 가능한 자연 지능 모사형 강화학습 방법으로, 불확실한 보상 구조 변화에 대해 빠르게 학습하고 적응하는 강인한 성능을 보이는 것으로 잘 알려져 있다. 본 논문에서는 표면적인 보상 구조가 변화하는 환경뿐만 아니라, 상태 천이 확률과 같은 환경 구조 내 잠재 변수가 보상 구조 변화를 유발하는 상황에서도 SR-기반 강화학습 알고리즘이 강인하게 반응하고 학습할 수 있는지 확인하고자 한다. 성능 확인을 위해, 상태 천이에 대한 불확실성과 이로 인한 보상 구조 변화가 동시에 나타나는 2단계 마르코프 의사결정 환경에서, 목적 기반 강화학습 알고리즘에 SR을 융합한 SR-다이나 강화학습 에이전트 시뮬레이션을 수행하였다. 더불어, SR의 특성을 보다 잘 관찰하기 위해 환경을 변화시키는 잠재 변수들을 순차적으로 제어하면서 기존의 환경과 비교하여 추가적인 실험을 실시하였다. 실험 결과, SR-다이나는 환경 내 상태 천이 확률 변화에 따른 보상 변화를 제한적으로 학습하는 행동을 보였다. 다만 기존 환경에서의 실험 결과와 비교했을 때, SR-다이나는 잠재 변수 변화로 인한 보상 구조 변화를 빠르게 학습하지는 못하는 것으로 확인 되었다. 본 결과를 통해 환경 구조가 빠르게 변화하는 환경에서도 강인하게 동작할 수 있는 SR-기반 강화학습 에이전트 설계를 기대한다.

• International Journal of Control, Automation, and Systems
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• 제1권3호
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• pp.358-367
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• 2003

We consider discrete-time factorial Markov Decision Processes (MDPs) in multiple decision-makers environment for infinite horizon average reward criterion with a general joint reward structure but a factorial joint state transition structure. We introduce the "localization" concept that a global MDP is localized for each agent such that each agent needs to consider a local MDP defined only with its own state and action spaces. Based on that, we present a gradient-ascent like iterative distributed algorithm that converges to a local optimal solution of the global MDP. The solution is an autonomous joint policy in that each agent's decision is based on only its local state.cal state.