• Journal of the Korean Society for Aviation and Aeronautics
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• v.23 no.4
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• pp.73-81
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• 2015

The purpose of this study is to explore structural relationship between cognitive factors and emotional factors in predicting behavioral intention of duty-free users. This study conducted questionnaire survey on 246 users of duty-free shops and analyzed it by using structural equation. As the result of the study, attitude was significantly associated with both desire and behavioral intention. Subjective norm had a significant impact on desire, but had no significant imfact on behavioral intention. Whereas perceived behavioral control did not have a significant influence on desire and intention. Desire, which plays mediating role as a major variable in goal-directed behavioral model, turned out to not only have significant impact on behavioral intention but has the strongest effect as well. This study has its academic meaning in that it explored factors which have effect on decision-making process of duty-free users focusing on goal-oriented behavioral model, which is one of integrated psychological models. In practical terms, this study can be used as a basic material for corporations to establish goals in domestic duty-free shops.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.2
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• pp.120-125
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• 2013

This paper proposes a goal oriented action planning method that plans the behaviors of computer generated forces and a replanning method that replans new actions when the situations are changed in war game. This new method provides good expression because it is flexible and can do more realized description unlike the conventional finite state machines. As a result, proposed method has an advantage that it can describe the behaviors of computer generated forces as those of real soldier. However, since it is not deterministic it has some difficulties in analysing the decision processing of behaviors and making the computer generated forces do some specific actions. We employed combat plane models of air forces in order to verify the feasibility of our method. Finally, we could find that our method produced very similar behaviors to those of a real soldier. This paper describes our planning method, experimental results, and future works.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.607-615
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• 2014

Outdoor education emphasizes diverse experiences from the internal growth which is expected from the learners, to the ecological and environmental experiences. It is also the needs of this time and reflected in the education system of Korea. However the goal of outdoor education is not well defined and philosophical efforts to clarify it is also not enough. In this respect, we tried to define the goal and investigated professionalism of outdoor education. Specifically, we investigated the professionalism of teachers and instructors of physical education. The goal was investigated in two areas 1) holistic experience and problem solving skill and 2) aiming self-reflective practitioner. The idea was that educators must not aim simple educational efficiencies but have to become self-reflective practitioners through everyday life. The conclusions of this study are firstly, a safety manual is required to avoid possible injuries and to give first aid in an unfortunate occasion, secondly, an education program is required to train outdoor professionals and lastly, outdoor education should not remain in the boundary of formal education but should be included in non-formal education.

• 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.

• Korean Journal of Culture and Social Issue
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• v.18 no.2
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• pp.261-278
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• 2012

This study understood the influence of the company R&D researchers' perfectionism on burnout, and also verified if self-efficacy shows the mediated effect in this relation. In order for this, the data was collected for 293 R&D researchers of a research institute in Daejeon while the structural equation was used for hypothesis verification. In the results of analyzing the survey data, self-oriented perfectionism and self-efficacy had negative correlations with burnout while socially-oriented perfectionism showed positive correlation with burnout. Also it was found that self-efficacy mediated in the influence of self-oriented perfectionism on burnout. In case of socially-oriented perfectionism, however, the mediated effect of self-efficacy was not significant while having direct influence on burnout. Such study results show that self-oriented perfectionism and confidence in self ability that sets up goals and carries out things have positive influence on decreasing burnout. In order to decrease burnout, it would be necessary to cognize that the expectation of perfection is the goal for myself, rather than the one by others.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.5
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• pp.235-246
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• 2014

This study was aimed to find out the relationships among the types of participation motive to life-long education, the degree of education satisfaction and perception degree to the successful aging of the elderly. 414 questionnaires were collected from the elderly who are 65years plus and attend the life-long education program provided by well-fare center in Chunan-city, Chungchongnam-do. The t-test, ANOVA, and regression analysis, etc were carried out using SPSS 11.0 ver. to analyze the data. The results are as follows. First, the types of participation motive to life-long education were sorted out as the action-oriented motive, goal-oriented motive and learning-oriented motive. Second, The education satisfaction was affected positively by the learning-oriented motive. Third, the action-oriented and learning-oriented motive affect the perception degree to the successful aging positively. Forth, The education satisfaction degree affect the perception degree to the successful aging positively.

• Journal of Science and Technology Studies
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• v.8 no.1
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• pp.1-28
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• 2008

This study investigates the characteristics and implications of the newly emerging socially-oriented innovation policy. The socially-oriented innovation policy has systemic views on the evolution of socio-technical system and innovation policy. It's ultimate goal is the transition toward sustainable socio-technical system and it takes "strategic niche management" approach for the transition policy. The governance structure of the policy is more open to the public actors, such as social service organizations and public institutes. As a case study, "the Technology-based Policy for the Enhancement of Quality of Life", which is the first comprehensive socially-oriented policy of Korea, is examined and it is suggested that the policy has some limitations because of the path dependency of targeting-oriented and catching-up style innovation policy of Korea.

• Korean Journal of Cognitive Science
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• v.31 no.4
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• pp.137-154
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• 2020

Psychological properties of learners have influence on learning behaviors in various ways. The purpose of this study was to examine how the goal orientation of learners affected the learning time distribution method. Regulatory focus and theories of intelligence were measured and manipulated in order to differentiate participants' goal-oriented state. Two variables are known to be key variables influencing learner's goal orientation, inducing the approach-avoidance strategy and mastery-performance oriented attitude. In the experiment, the control focus was divided into two groups based on the inclination test score (regulatory Focus Questionnaire, RFQ), and TOI(theory of intelligence) was temporally induced through manipulation to confirm the interaction between the two variables. Participants were able to determine the order of learning freely by learning a set of Spanish-Korean word pairs and then selecting the items they would like to re-learn. Word pairs consisted of difficult or easy items, and learners could learn the same word many times if they wanted to. In the results, promotion-incremental group showed allocating difficult word-pairs in early time.

• School Mathematics
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• v.16 no.3
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• pp.585-611
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• 2014

The purpose of this study is to understand the decision-making behavior of a mathematics teacher in science academy of Korea by applying the framework of class analysis through the theory of goal-oriented decision-making. To this end, we selected as the participant a mathematics teacher in charge of the class of basic calculus of science high school for the gifted in the metropolitan area, and observed the teacher's lesson. Based on a questionnaire derived from previous studies, we analyzed goals, orientations and resources of the teacher. Research results show that there are certain teaching routines by analyzing the behavior patterns that appear repeatedly in the teacher's lesson. Also we understand that it can be used on goals, orientations and resources of the teacher to adequately explain his teaching routine. In the present study, in particular, it was found to have a similar but partially different routines to the teaching routines shown in the study of Schoenfeld. From these findings, We can derive the implications that the theory of goal-oriented decision making can be suitably used as analytical tool for understanding the behavior of the teacher who pursue a productive interaction in mathematics lesson in Korea.

• (The) Korean Journal of Educational Psychology
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• v.31 no.3
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• pp.563-587
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• 2017

The purpose of this study was to understand the ways to enhance academic help-seeking by analyzing the structural relations among individual(achievement goal orientation) and contextural (teacher behaviors and classroom climate) factors known to affect help-seeking, one of the effective self-regulated learning strategies, for upper elementary students. More specifically, it explored the mediational roles of general classroom climate and student achievement goal orientation in the relation between supportive teacher behaviors and student academic help-seeking. A survey was administered to 315 fifth- or sixth-grade students in three elementary schools and the data from the survey was analyzed. Main results are as follows. First, supportive and learning-oriented teacher behaviors with high expectation related to more cohesive and positive classroom climate and more adaptive achievement goal such as mastery goal. Positive classroom climate played an important role in improving student mastery goal, and only mastery goal among different types of achievement goal orientation had a positive prediction of student help-seeking. Second, teacher behaviors significantly predicted student help-seeking through a double mediation of classroom climate and student mastery goal, which showed that classroom contextual factors and student individual factors interacted for help-seeking. These results suggest that the role of teachers as well as the mastery goal of students are important for enhancing students' help-seeking behavior as an adaptive learning strategy.