• Journal of Digital Convergence
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• v.10 no.1
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• pp.87-104
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• 2012

The purpose of this study was to analyze and present of action learning process in education programs for senior officials, engineers, chief executive officers. The main contents of this study is focused on analysis of orientation activities for each step of action learning process, project selection, analysis of problem clarification, review of data research and analysis, analysis of process for seeking of alternative and selecting execution item, comparison and analysis for the results of execution.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.2
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• pp.89-100
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• 2016

This article analyzes two different strategies that both aim at creating innovative design or problem solving: design thinking and action learning. User-driven innovation strategy that has become more and more popular during the last decades is "design thinking". Based on designerly methods and principles, this strategy was developed by the design consultancy IDEO in the late 90s. Action learning is a pragmatic and moral philosophy based on a deeply humanistic view of human potential that commits us, via experiential learning, to address the intractable problems of organizations and societies. This paper provides a structured analysis and comparison of the two innovation strategies-design thinking and action learning-with the goal to identify potentials to enrich either of the two by merging or adapting specific parts or aspects. Although there are significant differences in both strategies, there are also several similarities in methodology and process design. This article compares process models for action learning and design thinking and highlights the specific differences and similarities. As a result, we suggested a union model of action learning and design thinking, and verified a this model through a case study. We complemented the process of team building and reflection of action learning for union model. Also, we statistically verified through a case study to validate the superiority of the design thinking model which complemented action learning. This article contributes to a better understanding of both-design thinking and action learning, and it may help to improve either of the two strategies to foster social innovation.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.52 no.9
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• pp.533-539
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• 2003

Reinforcement learning (RL) has been widely used as a learning mechanism of an artificial life system. However, RL usually suffers from slow convergence to the optimum state-action sequence or a sequence of stimulus-response (SR) behaviors, and may not correctly work in non-Markov processes. In this paper, first, to cope with slow-convergence problem, if some state-action pairs are considered as disturbance for optimum sequence, then they no to be eliminated in long-term memory (LTM), where such disturbances are found by a shortest path-finding algorithm. This process is shown to let the system get an enhanced learning speed. Second, to partly solve a non-Markov problem, if a stimulus is frequently met in a searching-process, then the stimulus will be classified as a sequential percept for a non-Markov hidden state. And thus, a correct behavior for a non-Markov hidden state can be learned as in a Markov environment. To show the validity of our proposed learning technologies, several simulation result j will be illustrated.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.47-52
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• 2022

The purpose of this study is to confirm the effect of nursing process education applying action learning on the critical thinking tendency, self-leadership, and self-directed learning ability of nursing college students. A total of 96 subjects were studied, and data collection was from September to December 2021. For data analysis, the frequency, percentage, and corresponding sample t-test were used using spss/win 23. Results show that self-directed learning ability(t=-3.76, p<.001) was significantly improved. In addition, critical thinking disposition and self-leadership(r=.730, p<.001), critical thinking disposition and self-directed learning ability (r=.701, p<.001), self-leadership and self-directed learning ability(r=.734 p<.001) had a statistically significant positive correlation between them. As a result of this study, it can be seen that the nursing course education applied to action learning has a positive effect on the self-directed learning ability of nursing college students. In the future, research is needed to confirm the effects of various teaching and learning methods.

• Journal of the Korean earth science society
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• v.26 no.4
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• pp.317-328
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• 2005

This study is a report of the collaborative action research which has been conducted between a Korean earth science teacher and science education researcher. A two-year long action research effort was made in order to improve the teacher’s earth science classrooms in pursuit of constructivist principles of learning. The process of the action research was described with the aim of increasing the awareness of science teachers and science education researchers regarding action research. Quantitative evidence was presented to indicate the effectiveness of the collaborative action research in creating constructivist learning environments in the classrooms. The process and quantitative evidence from the action research permitted a consideration of implications for future efforts to improve science classrooms.

• Information Systems Review
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• v.8 no.1
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• pp.287-303
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• 2006

Recently, Investment on HRM, particularly, on training and development, in companies has been increased. Therefore, HR managers pay attention to action learning that has the practical effect on performance. The purpose of this study is to introduce action learning as an efficient training method and simultaneously to raise operational issues from the case study. This study analyses a training and development program applying action learning for team manager candidates in corporate Hyosung from September, 2005 to January, 2006. The findings are as follows: First, inefficient processes are thrown out by the process reengineering applying action learning. Second, the training and development activity is maximized by the integrated use of internal and external facilitators. Third, the steady support of executives and the driving force of HRD managers are considered as main success factors.

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.312-322
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• 2010

The aim of this study is to find the effect of action learning on the problem solving process of nursing students during the clinical practice of nursing management. A total of 99 senior nursing students participated in this study. Data was collected from May 2006 to October 2007 and statistical analysis for paired t-test was performed on the data using SPSS/WIN 14.0. The results of the data show that there was a significant increase in the problem solving process for nursing students after the implementation of action learning(t=-4.718, p=.000). In the problem solving process, there was a significant increase in definition of problem(t=-4.123, p=.004), design of problem solution(t=-2.973, p=.002), execution of problem solution(t=-3.264, p=.000) and investigation of problem solving(t=-3.677, p=.000). The only exception in the problem solving process was detection of problem(t=-1.858, p=.066). Therefore, action learning provides nursing students a new alternative for improving the problem solving process and clinical adaptability after graduating from nursing school.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.477-491
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• 2013

In order to live up to public expectations, universities dedicate their best efforts to cultivating all Essential Competencies for outstanding individuals, especially reorganizing and improving their general education curricula and methods of teaching and learning, in light of the fact that a cutting-edge technology in a specific field does not bear a long span in the modern society. Through a Grounded Theory approach, the aim of this research is to study undergraduates' Experience Process of Action Learning designed to foster their Essential Competencies. With broadly selected 15 students from the courses for Essential Competencies, the method of theoretical sampling was employed so as to secure the diversity of the subjects' characteristics and backgrounds. After in-depth interviews, the data from the subjects were analyzed on the basis of Grounded theory approach of Strauss and Corbin. The conclusions of this analysis are as follows; Firstly, a learning coach should play a different role depending on the levels of Action Learning. Secondly, some time for introspection should be taken for the effective operation of Action Learning. Thirdly, learners ought to solve the problems faced during the learning process on their own. Fourthly, the aims of courses for Essential Competencies are also needed to be focused.

• IEMEK Journal of Embedded Systems and Applications
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• v.3 no.2
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• pp.119-125
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• 2008

This paper presents the polygon-based Q-leaning and Cascade Support Vector Machine algorithm for object search with multiple robots. We organized an experimental environment with ten mobile robots, twenty five obstacles, and an object, and then we sent the robots to a hallway, where some obstacles were lying about, to search for a hidden object. In experiment, we used four different control methods: a random search, a fusion model with Distance-based action making (DBAM) and Area-based action making (ABAM) process to determine the next action of the robots, and hexagon-based Q-learning and dodecagon-based Q-learning and Cascade SVM to enhance the fusion model with DBAM and ABAM process.

• International Journal of Control, Automation, and Systems
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• v.5 no.5
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• pp.570-576
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• 2007

This paper presents a hexagon-based Q-leaning algorithm to find a hidden targer object with multiple robots. An experimental environment was designed with five small mobile robots, obstacles, and a target object. Robots went in search of a target object while navigating in a hallway where obstacles were strategically placed. This experiment employed two control algorithms: an area-based action making (ABAM) process to determine the next action of the robots and hexagon-based Q-learning to enhance the area-based action making process.