• 전자공학회논문지 IE
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• v.49 no.2
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• pp.65-74
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• 2012

The purpose of this study is to verify the prediction of mastery-approach goal orientation, task value, and self-regulated learning strategy on academic satisfaction and achievement of cyber engineering university students. For this study, 219 engineering students of H cyber university who enrolled in the spring semester of 2011 was chosen and completed web surveys. A hypothetical model proposed included mastery-approach goal orientation, task value, and self-regulated learning strategy as predictors, and academic satisfaction and achievement as criteria variables. The results of this study through multiple regression analysis indicated that task value(${\beta}$=.401) and self-regulated learning strategy(${\beta}$=.401) predicted significantly on academic satisfaction. In addition, self-regulated learning strategy(${\beta}$=.301) and mastery-approach goal orientation(${\beta}$=.196) predicted significantly on academic achievement. The result of this study suggested that mastery-approach goal orientation, task value, and self-regulated learning strategy should be considered for improving academic satisfaction and achievement in cyber engineering education.

• The KIPS Transactions:PartB
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• v.10B no.3
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• pp.249-256
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• 2003

The most important problems in the multi-agent system are to accomplish a goal through the efficient coordination of several agents and to prevent collision with other agents. In this paper, we propose a new control strategy for succeeding the goal of the prey pursuit problem efficiently. Our control method uses reinforcement learning to control the multi-agent system and consider the distance as well as the space relationship between the agents in the state space of the prey pursuit problem.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.267-277
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• 2024

This paper explores the use of machine learning in game production to create goal-oriented, realistic animations for skeleton monsters. The purpose of this research is to enhance realism by implementing intelligent movements in monsters within game development. To achieve this, we designed and implemented a learning model for skeleton monsters using reinforcement learning algorithms. During the machine learning process, various reward conditions were established, including the monster's speed, direction, leg movements, and goal contact. The use of configurable joints introduced physical constraints. The experimental method validated performance through seven statistical graphs generated using machine learning methods. The results demonstrated that the developed model allows skeleton monsters to move to their target points efficiently and with natural animation. This paper has implemented a method for creating game monster animations using machine learning, which can be applied in various gaming environments in the future. The year 2024 is expected to bring expanded innovation in the gaming industry. Currently, advancements in technology such as virtual reality, AI, and cloud computing are redefining the sector, providing new experiences and various opportunities. Innovative content optimized for this period is needed to offer new gaming experiences. A high level of interaction and realism, along with the immersion and fun it induces, must be established as the foundation for the environment in which these can be implemented. Recent advancements in AI technology are significantly impacting the gaming industry. By applying many elements necessary for game development, AI can efficiently optimize the game production environment. Through this research, We demonstrate that the application of machine learning to Unity and game engines in game development can contribute to creating more dynamic and realistic game environments. To ensure that VR gaming does not end as a mere craze, we propose new methods in this study to enhance realism and immersion, thereby increasing enjoyment for continuous user engagement.

• Journal of the Korean Chemical Society
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• v.57 no.3
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• pp.389-397
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• 2013

In this study, the effects of STAD cooperative learning strategy on students' achievement, learning motivation, perceptions of learning environment, and perceived classroom goal structure were investigated in terms of students' collectivism level. Two classes (64 students) from an elementary school were respectively assigned to a control group and a treatment group. A individualism-collectivism test, a learning motivation test, a perceptions of learning environment test, and a perceived classroom goal structure test were administered as pretests. The intervention of cooperative learning lasted for 24 class periods. After instruction, an achievement test, the learning motivation test, the perceptions of learning environment test, and the perceived classroom goal structure test were administered. The results indicated that the students of the treatment group significantly outperformed those of the control group in the achievement test. There was a significant treatment-aptitude interaction effect in the scores of the attention subcategory of the learning motivation. In the perceptions of learning environment, the score of the treatment group was significantly higher than the control group in the cohesiveness subcategory, whereas the score of the treatment group was significantly lower than their counterpart in the competitiveness subcategory. It was also found that the score of the treatment group was significantly higher than the control group in the performance subcategory of the perceived classroom goal structure.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.271-281
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• 2022

The importance and necessity of software(SW) education as a liberal arts was fully recognized by society. However, according to the previous research results, learners' motivation to learn in SW liberal arts was kept low for various reasons. Therefore, understanding the learning motivation and its changeability in SW liberal arts is necessary, but the related studies are not sufficient. In this paper, we analyzed changes in achievement goals using a 3 × 2 achievement goal model to examine changeability of achievement goals in a SW liberal arts class during one semester. As a result, we confirmed that the achievement goals were stable at both the group level and the individual level, but the order of each achievement goal was different from that of the previous studies. We also confirmed that the mastery goal of the classroom goal structure had a higher correlation with most achievement goals, but the performance goals had a correlation with some avoidance goals only. This means that additional research is needed for each key classroom goal structure type in SW education because the learning motivation in SW liberal arts has different aspect from the other existing liberal arts classes.

• Journal of The Korean Association For Science Education
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• v.26 no.2
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• pp.232-238
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• 2006

This study examined how motivational climate, achievement goals, and learning strategies jointly contributed to science achievement through path analysis of 260 middle school students. The results showed that only deep learning strategy had a significant direct effect on science achievement. The promotion of learning by science teachers and the pursuit of progress by peers had the mediational pathways linking task goal and deep learning strategy on science achievement. The pursuit of progress and the promotion of the comparison by peers influenced science achievement via deep learning strategy. The promotion of the comparison by peers also influenced deep learning strategy via performance-goal, which in turn influenced science achievement. These results indicated that the learning strategies had a direct effect and motivational climate or achievement goals had an indirect effect on science achievement. Our findings lead us to expect that the effective instructional method to improve students' science achievement is the one that impact both cognitive and motivational functioning.

• The Korean Journal of Health Service Management
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• v.8 no.1
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• pp.135-150
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• 2014

The purpose of this study was to identify the effects of nursing simulation-based practice education on learning outcome and teaching experience in nursing students. Pretest-posttest design with nonequivalent control group was utilized to analyze the effects of nursing simulation-based practice education. The subjects were 96 students of a nursing college. All subjects participated in 6 week. The data were analyzed by the SPSS win 17.0 program. The results were as follows; There were statistically significant differences in learning outcome and teaching experience effects of nursing simulation-based practice education in nursing students. In conclusion, we required nursing simulation-based practice education and small group discussion analysis of factors are associated with goal-setting skills and self-presentation skills, goal setting skills. We required nursing simulation-based practice education training to strengthen the ability of self-directed learning program utilizing the repeated study.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2834-2836
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• 2000

This paper introduces the behavior-based learning controller for mobile robot using topological map. When the mobile robot navigates to the goal position, it utilizes given information of topological map and its location. Under navigating in unknown environment, the robot classifies its situation using ultrasonic sensor data, and calculates each motor schema multiplied by respective gain for all behaviors, and then takes an action according to the vector sum of all the motor schemas. After an action, the information of the robot's location in given topological map is incorporated to the learning module to adapt the weights of the neural network for gain learning. As a result of simulation, the robot navigates to the goal position successfully after iterative gain learning with topological information.

• Asia pacific journal of information systems
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• v.21 no.4
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• pp.63-104
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• 2011

The study examines the relationships among employee's goal orientation, IT personnel competency, personal effectiveness. The goal orientation includes learning goal orientation, performance approach goal orientation, and performance avoid goal orientation. Personal effectiveness consists of personal work satisfaction and personal work performance. In general, IT personnel competency refers to IT expert's skills, expertise, and knowledge required to perform IT activities in organizations. However, due to the advent of the internet and the generalization of IT, IT personnel competency turns out to be an important competency of technological experts as well as employees in organizations. While the competency of IT itself is important, the appropriate harmony between IT personnel's business capability and technological capability enhances the value of human resources and thus provides organizations with sustainable competitive advantages. The rapid pace of organization change places increased pressure on employees to continually update their skills and adapt their behavior to new organizational realities. This challenge raises a number of important questions concerning organizational behavior? Why do some employees display remarkable flexibility in their behavioral responses to changes in the organization, whereas others firmly resist change or experience great stress when faced with the need to alter behavior? Why do some employees continually strive to improve themselves over their life span, whereas others are content to forge through life using the same basic knowledge and skills? Why do some employees throw themselves enthusiastically into challenging tasks, whereas others avoid challenging tasks? The goal orientation proposed by organizational psychology provides at least a partial answer to these questions. Goal orientations refer to stable personally characteristics fostered by "self-theories" about the nature and development of attributes (such as intelligence, personality, abilities, and skills) people have. Self-theories are one's beliefs and goal orientations are achievement motivation revealed in seeking goals in accordance with one's beliefs. The goal orientations include learning goal orientation, performance approach goal orientation, and performance avoid goal orientation. Specifically, a learning goal orientation refers to a preference to develop the self by acquiring new skills, mastering new situations, and improving one's competence. A performance approach goal orientation refers to a preference to demonstrate and validate the adequacy of one's competence by seeking favorable judgments and avoiding negative judgments. A performance avoid goal orientation refers to a preference to avoid the disproving of one's competence and to avoid negative judgements about it, while focusing on performance. And the study also examines the moderating role of work career of employees to investigate the difference in the relationship between IT personnel competency and personal effectiveness. The study analyzes the collected data using PASW 18.0 and and PLS(Partial Least Square). The study also uses PLS bootstrapping algorithm (sample size: 500) to test research hypotheses. The result shows that the influences of both a learning goal orientation (${\beta}$ = 0.301, t = 3.822, P < 0.000) and a performance approach goal orientation (${\beta}$ = 0.224, t = 2.710, P < 0.01) on IT personnel competency are positively significant, while the influence of a performance avoid goal orientation(${\beta}$ = -0.142, t = 2.398, p < 0.05) on IT personnel competency is negatively significant. The result indicates that employees differ in their psychological and behavioral responses according to the goal orientation of employees. The result also shows that the impact of a IT personnel competency on both personal work satisfaction(${\beta}$ = 0.395, t = 4.897, P < 0.000) and personal work performance(${\beta}$ = 0.575, t = 12.800, P < 0.000) is positively significant. And the impact of personal work satisfaction(${\beta}$ = 0.148, t = 2.432, p < 0.05) on personal work performance is positively significant. Finally, the impacts of control variables (gender, age, type of industry, position, work career) on the relationships between IT personnel competency and personal effectiveness(personal work satisfaction work performance) are partly significant. In addition, the study uses PLS algorithm to find out a GoF(global criterion of goodness of fit) of the exploratory research model which includes a mediating variable, IT personnel competency. The result of analysis shows that the value of GoF is 0.45 above GoFlarge(0.36). Therefore, the research model turns out be good. In addition, the study performs a Sobel Test to find out the statistical significance of the mediating variable, IT personnel competency, which is already turned out to have the mediating effect in the research model using PLS. The result of a Sobel Test shows that the values of Z are all significant statistically (above 1.96 and below -1.96) and indicates that IT personnel competency plays a mediating role in the research model. At the present day, most employees are universally afraid of organizational changes and resistant to them in organizations in which the acceptance and learning of a new information technology or information system is particularly required. The problem is due' to increasing a feeling of uneasiness and uncertainty in improving past practices in accordance with new organizational changes. It is not always possible for employees with positive attitudes to perform their works suitable to organizational goals. Therefore, organizations need to identify what kinds of goal-oriented minds employees have, motivate them to do self-directed learning, and provide them with organizational environment to enhance positive aspects in their works. Thus, the study provides researchers and practitioners with a matter of primary interest in goal orientation and IT personnel competency, of which they have been unaware until very recently. Some academic and practical implications and limitations arisen in the course of the research, and suggestions for future research directions are also discussed.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.542-559
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• 2020

This study was conducted to derive theoretical and practical implications in situations where innovation of the business is desperate in the face of the emergence of agile organizations and digital transformation. To do so, we tried to verify the correlation between negative feedback-seeking behavior and innovative behavior and whether the learning goal orientation of these two variables has a moderated mediating effect by coaching leadership. It analyzed the collected questionnaire from 381 members working in domestic companies; SPSS 25.0, AMOS 25.0, and Process Macro 3.0 were used. The analysis result showed that the negative feedback seeking behavior had a positive effect on the learning goal orientation, and the leader's coaching leadership found to have a moderating effect between the negative feedback seeking behavior and the learning goal orientation. Learning goal orientation has been found to have a moderated mediating effect between negative feedback seeking behavior and innovative behavior. This study is significant in the sense that it reveals the process of how members seeking negative feedback in the organization could be led to innovative behavior and shows the necessity of organizational support for coaching leadership for the vitalization of innovative behavior.