• 대한공업교육학회지
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• v.32 no.1
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• pp.33-54
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• 2007

The purpose of this study was to verify the effects of cooperative learning on academic achievement of the maintenance of intake and exhaust stroke education in the technical high school. The following null hypotheses were stated and utilized for the purpose of the study. (1) Taxonomy of educational objectives(cognitive, affective and psychomotor domain) and (2) the level of entering behavior To verify the hypotheses of the study, 2 parts(17 students in each part) of the second grades from technical high school were selected. The data were collected and interpreted statistically by t-test using SPSS(ver. 10) at the .05 level of significance. The result of this study were as follows; First, learning together cooperative learning had little effect on the academic achievement in the cognitive domain but the affective and psychomotor domain were more effective than the traditional teaching method on the taxonomy of educational objectives. Second, learning together cooperative learning was effective on the academic achievements of lower and higher ability group of students, while wasn't effective on middle ability group in the level of entering behavior.

• Journal of The Korean Association For Science Education
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• v.20 no.2
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• pp.234-243
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• 2000

This study investigated the relationships between verbal behaviors and chemistry problem solving ability in cooperative learning. Based on the previous chemistry achievement. 11th-graders were assigned heterogeneously into three-membered groups. Small cooperative group problem solving processes in using 4 stage-problem solving strategy were audio/video taped. Students' chemistry problem solving ability was then measured by a problem solving strategy performance test. Their verbal behaviors were classified into giving information, receiving information, asking questions, and disagreeing. These were further coded into 16 subcategories. Providing, a subcategory of giving information, was the most frequent behavior. In studying partial correlation between verbal behaviors and problem solving ability, 7 categories were found to have significantly positive relationships. Providing showed the highest correlation with the problem solving ability as reported previously. Moreover, this study also revealed significant correlations in the categories of clarifying provided, correcting, justifying, and clarifying. In the case of low-ability students, the verbal behaviors of giving or receiving information were strongly correlated with problem solving ability. However, these verbal behaviors did not enhance the problem solving ability of high- and medium-ability students.

• Journal of Music and Human Behavior
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• v.20 no.2
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• pp.61-88
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• 2023

This case study examined whether a cooperative musical instrument playing could enhance interactions between children with autism spectrum disorder (ASD) and their neurotypical (NT) siblings. It involved three children with ASD aged 7-12 years and three NT siblings aged 6-11 years. Each group, comprising a child with ASD and their NT sibling, participated in a 40-minute sessions twice weekly for eight sessions over four weeks. The intervention included three stages: simultaneous action, complementary action, and achieving a joint goal. Evaluation criteria included the initiation and response behaviors of each child, and sequential interactive behaviors and cooperative behaviors between pairs were measured. Additionally, before and after the intervention, parents and NT sibling assessed their perceived sibling relationships. Results showed increased interactive and cooperative behaviors. Post-intervention, both parents and NT siblings rated the sibling relationship highly, despite little change in sibling conflict and competition consciousness. These findings indicate that interactive instrument playing can enhance perceptions of siblings as cooperative play partners and aid in teaching them how to collaborate during interactions.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.8
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• pp.171-180
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• 2020

Smart Factory consists of digital automation solutions throughout the production process, including design, development, manufacturing and distribution, and it is an intelligent factory that installs IoT in its internal facilities and machines to collect process data in real time and analyze them so that it can control itself. The smart factory's equipment works in a physical combination of numerous hardware, rather than a virtual character being driven by a single object, such as a game. In other words, for a specific common goal, multiple devices must perform individual actions simultaneously. By taking advantage of the smart factory, which can collect process data in real time, if reinforcement learning is used instead of general machine learning, behavior control can be performed without the required training data. However, in the real world, it is impossible to learn more than tens of millions of iterations due to physical wear and time. Thus, this paper uses simulators to develop grid sortation systems focusing on transport facilities, one of the complex environments in smart factory field, and design cooperative multi-agent-based reinforcement learning to demonstrate efficient behavior control.

• Proceedings of the Korean Fiber Society Conference
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• 2002.04a
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• pp.9-12
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• 2002

Several theoretical models have been proposed in the past in an attempt to predict basic performance The focus of these research efforts has been mainly directed towards the understanding of the mechanical behavior of the structures. Some of these efforts are summarized below. Backer and Patterson pioneered a fiber web theory to accommodate the broad mechanical design requirements of nonwovens [1]. (omitted)

• Journal of information and communication convergence engineering
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• v.7 no.2
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• pp.148-151
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• 2009

We consider the problem of optimizing the performance of a system with resources shared by non-cooperative users. The worst-cast ratio between the cost of a Nash equilibrium and the optimal cost, called Price of Anarchy, is investigated. It measures the performance degradation due to the users' selfish behavior. As the objective function of the optimization problem, we are concerned in a load balancing measure, which is different from that used in the previous works. Also we consider the Stackelberg scheduling which can assign a fraction of the users to resources while the remaining users are free to act in a selfish manner.

• Korea Journal of Hospital Management
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• v.18 no.2
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• pp.57-80
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• 2013

The purpose of this study is to examine the information search behavior of medical consumers visiting a hospital, and investigate the consumption values of medical consumers, classified according to the information search behavior, and characteristics of online health and disease information. This study also tried to identify the factors affecting medical consumers classified according to information search behavior, and gain an extensive understanding of medical consumers'consumption values and online information use. The analysis results of this study are as follows: First, the consumption values of medical consumers were classified into a total of 7 factors, i.e. future-positive value, family-oriented value, sustainablehealth value, rational-progressive value, social-cooperative value, socialachiever value and hedonistic-individual value. Next, the characteristics of medical consumers'online information search behavior were classified into three types of consumer groups, i.e. the limited information-oriented consumer group, the practical information-oriented consumer group and the passionate information-oriented consumer group. Second, the analysis of the differences among the three groups classified according to the characteristics of the information search behavior in terms of consumption values, use of online information sources, utility and the intention to reuse online information showed that all the differences were statistically significant. The passionate information-oriented consumer group showed the highest scores in the sustainable-health value, the social-achiever value and the hedonisticindividual value. Third, the factors affecting medical consumers, classified into three groups according to the characteristics of the information search behavior, were found to be socio-demographic variables like consumers' age and occupation, consumers'consumption values, use of online information sources, and utility of online information. This study tried to understand what values medical consumers have according to the differences in the information search behavior by examining the consumption values of medical consumers according to the information search behavior. The significance of this study lies in the fact that consumption values are instrumental in understanding medical consumers by identifying the fundamental motives and desires of consumers' behavior.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.1
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• pp.8-17
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• 2006

It is essential for robot to have the sensing and communication abilities in the swarm robot system. In general, as the number of robot goes on increasing, the limitation of communication capacity and information overflow occur in global communication system. Therefore a local communication is more effective than global one. In this paper, we analyze information propagation mechanism based on local communication. To find an optimal communication radius, we propose several methods with different conditions. Also, to avoid chaotic behavior which occurs when a robot obtains and loses information, we will suggest the stable condition of information propagation.

• The Korean Journal of Food And Nutrition
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• v.36 no.4
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• pp.222-235
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• 2023

In this research, we examined the shifts in determinants influencing the frequency of eco-friendly food purchases pre- and post-COVID-19. Our analysis utilized filtered 2019-2021 Consumption Behavior Survey data from the Korea Rural Economic Institute Food, excluding any irrational responses. Given the nature of the dependent variable, a multinomial logistic regression model was employed with demographic factors, variables pertaining to food consumption behavior, and variables concerning food consumption awareness as predictors. Following the onset of the COVID-19 pandemic, an individual's level of education was observed to positively influence the frequency of eco-friendly food purchases. In contrast, income level and fluctuations in food consumption expenditure did not appear to have a discernible impact on the purchasing frequency of such eco-friendly products. Irrespective of the advent of COVID-19, variables such as the frequency of online food purchases, the utilization of early morning delivery services, dining out frequency, and the intake of health-functional foods consistently demonstrated a positive correlation with the propensity to purchase eco-friendly foods. Overall, consumers prioritizing safety, quality, and nutrition over price, taste, and convenience in their procurement decisions for rice, vegetables, meat, and processed foods exhibit an increased inclination toward the acquisition of eco-friendly food products.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.594-602
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• 2021

This study aims to identify the learning behavior patterns recognized by students to find effective tutoring operational methods, and further analyze the impact of learning behavior patterns on academic performance and learning satisfaction. To this end, 105 participants in the tutoring program at D University based in Busan Metropolitan City collected data and conducted descriptive statistics, correlation analysis and regression analysis according to research problems. First, the study found that students who participated in tutoring had the most environment-dependent and self-taught learning behavioral styles and environment-independent and self-taught learning behavioral style. Second, the correlation between learning behavioral styles and academic achievement and learning satisfaction shows that there is a high correlation between positive and cooperative learning behavioral styles and environment-independent and self-taught learning behavioral styles. Third, regression analysis on academic achievement and learning satisfaction showed that positive and cooperative learning behavioral styles significantly affects learning satisfaction, but environment-independent and self-taught learning behavioral style, environment-dependent and self-taught learning behavioral style, and passive learning behavioral style were not significant. These results suggest that from the school perspective, learning behavior can be recognized as an important factor in students' academic success and failure, so instructors need to check learners' learning behavior patterns and provide appropriate tutoring teaching and learning design plans.