• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.792-812
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• 2022

Multi-agent systems often need to achieve the goal of learning more effectively for a task through coordination. Although the introduction of deep learning has addressed the state space problems, multi-agent learning remains infeasible because of the joint action spaces. Large-scale joint action spaces can be sparse according to implicit or explicit coordination structure, which can ensure reasonable coordination action through the coordination structure. In general, the multi-agent system is dynamic, which makes the relations among agents and the coordination structure are dynamic. Therefore, the explicit coordination structure can better represent the coordinative relationship among agents and achieve better coordination between agents. Inspired by the maximization of social group utility, we dynamically construct a factor graph as an explicit coordination structure to express the coordinative relationship according to the utility among agents and estimate the joint action values based on the local utility transfer among factor graphs. We present the application of such techniques in the scenario of multiple intelligent vehicle systems, where state space and action space are a problem and have too many interactions among agents. The results on the multiple intelligent vehicle systems demonstrate the efficiency and effectiveness of our proposed methods.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.35-42
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• 2016

The purpose of this study is to examine the effect of action learning approaches on problem-solving skills and learning agency of nursing undergraduate students. This experimental study is designed for a nonequivalent control group. The program was put into practice 2 times a week for 4 weeks. The number of subjects in this research consists of 105, where 53 of the experimental group participated in action learning program and 52 of the control group didn't do. The data was analyzed by ${\chi}^2$-test, Chi-Square test, t-test and paired t-test. The effects of action learning approaches on learning outcomes in nursing process courses are as follows: The problem solving ability of the experimental group has been more elevated than that of the control group. The experimental group has made increase in self directed learning skills. The action learning approaches on learning outcomes in nursing process courses are convenient in nursing process courses. This study has significance in that it identified the availability of the action learning program and that it would be useful teaching and learning method to achieve learning outcomes.

• Journal of Korea Multimedia Society
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• v.13 no.12
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• pp.1820-1831
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• 2010

When interacting with unknown environments, an autonomous agent needs to decide which action or action order can result in a good state and determine the transition probability based on the current state and the action taken. The traditional multiple sequential learning model requires predefined probability of the states' transition. This paper proposes a multiple sequential learning and prediction system with definition of autonomous states to enhance the automatic performance of existing AI algorithms. In sequence learning process, the sensed states are classified into several group by a set of proposed motivation filters to reduce the learning computation. In prediction process, the learning agent makes a decision based on the estimation of each state's cost to get a high payoff from the given environment. The proposed learning and prediction algorithms heightens the automatic planning of the autonomous agent for interacting with the dynamic unknown environment. This model was tested in a virtual library.

• Journal of Science Education
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• v.47 no.2
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• pp.139-153
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• 2023

This study aimed to investigate the effect of environmental education programs using action learning on elementary school students' environmental literacy and self-efficacy. To this end, an environmental education program using action learning was applied to 22 sixth graders of 'A' Elementary School in Busan. The results of this study were as follows. First, environmental education programs using action learning were effective in improving the environmental literacy of elementary school students. After implementing the environmental education program using action learning, students' environmental values, cognitive, and procedural ability changed positively. Environmental issues awareness and ecological knowledge improved, and there was a significant increase in environmental behavior and environmental function. Second, environmental education programs using action learning were effective in enhancing the self-efficacy of elementary school students. After implementing environmental education programs using action learning, students' confidence in problem solving and their ability to judge their behaviors improved. Third, elementary school students showed active participation and interest when conducting environmental education programs using action learning. Students have become open to protecting the environment when they find problems, devise solutions, and practice them. After reflection, it was confirmed that students' immersion and satisfaction in class were high as a solution was reached, leading to efforts to sell items they did not use and donate profits to environmental protection organizations.

• Educational Technology International
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• v.11 no.1
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• pp.145-169
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• 2010

Many universities are searching for educational methods to cultivate problem-solving ability and cooperative learning ability or already trying to implement them. Problem Based Learning(PBL) and Action Learning(AL) are effective teaching and learning methods to cultivate men of talent qualified for problem-solving and cooperative learning abilities that universities are seeking after. PBL and AL have something in common in that learning is accomplished while learners are solving the authentic problem. But, in spite of this similarity, PBL and AL have differences. However, most literatures and cases on these two models introduce only the outline of commons and differences and do not provide teachers with actual helping aids to select a model appropriate for the actual design or operation of classes. Accordingly, many teachers usually select and utilize a familiar model rather than select a proper model to the nature of a subject and the educational goal. Teaching and learning methods or learning environment should be selected appropriately to the educational goal. This study indicates the characteristics of PBL and AL that are being introduced and utilized as a principal teaching and learning method of college education and then shows how this method can be realized in the university by comparing the cases of classes applied in two methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.2
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• pp.483-503
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• 2014

In this paper, human action recognition using pyramid histograms of oriented gradients and collaborative multi-task learning is proposed. First, we accumulate global activities and construct motion history image (MHI) for both RGB and depth channels respectively to encode the dynamics of one action in different modalities, and then different action descriptors are extracted from depth and RGB MHI to represent global textual and structural characteristics of these actions. Specially, average value in hierarchical block, GIST and pyramid histograms of oriented gradients descriptors are employed to represent human motion. To demonstrate the superiority of the proposed method, we evaluate them by KNN, SVM with linear and RBF kernels, SRC and CRC models on DHA dataset, the well-known dataset for human action recognition. Large scale experimental results show our descriptors are robust, stable and efficient, and outperform the state-of-the-art methods. In addition, we investigate the performance of our descriptors further by combining these descriptors on DHA dataset, and observe that the performances of combined descriptors are much better than just using only sole descriptor. With multimodal features, we also propose a collaborative multi-task learning method for model learning and inference based on transfer learning theory. The main contributions lie in four aspects: 1) the proposed encoding the scheme can filter the stationary part of human body and reduce noise interference; 2) different kind of features and models are assessed, and the neighbor gradients information and pyramid layers are very helpful for representing these actions; 3) The proposed model can fuse the features from different modalities regardless of the sensor types, the ranges of the value, and the dimensions of different features; 4) The latent common knowledge among different modalities can be discovered by transfer learning to boost the performance.

• The Journal of the Korea Contents Association
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• v.16 no.1
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• pp.285-294
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• 2016

The purpose of this study was to investigate the effects of the action learning-based spiritual care education program on nursing students' spiritual needs, spiritual well-being, and spiritual care competence. This study was a pre-post test design with single group and participants were recruited from second-year nursing students at a University. From September to December 2014, the students participated in the action learning-based spiritual care education program, which were held 16 times, had decreased their spiritual needs and improved spiritual well-being and spiritual care competence. The data were analyzed using paired t-test with the SPSS WIN 23.0 statistics program. The results of this study indicate that the action learning-based spiritual care education program was effective in decreasing spiritual needs and improving spiritual well-being and spiritual care competence for nursing students. The nursing students, which provide a holistic care, will grow up to be a professional nurse by learning the nursing process including spiritual care. Also, an action learning-based education program should be developed in the various fields.

• The Journal of Korean Academic Society of Nursing Education
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• v.22 no.1
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• pp.42-50
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• 2016

Purpose: The purpose of this study was to investigate the effects of action learning on critical thinking disposition, communicative competence, and problem-solving ability in nursing students. Methods: The design for this was a nonequivalent control group pretest-posttest design was used for identification of the effects of lessons using action learning. The consenting participants were 184 fourth-year nursing students in D-city (Experimental group=95, Control group=89). Data was collected and the program was conducted from May 2 to July 19, 2015. Data was analyzed with an ${\chi}^2-test$, a t-test, and a paired t-test and utilized the SPSS win 21.0 program. Results: There were significant differences in critical thinking ability (t=5.00, p<.001), problem-solving ability (t=4.52, p<.001), and communicative competence (t=4.97, p<.001) in the experimental group compared to the control group. Conclusion: The study findings suggest that action-learning programs have proven to be an effective educational program for improving the critical thinking ability, problem solving ability, and communicative competence of nursing students. Action learning can be an effective teaching strategy.

• Journal of muscle and joint health
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• v.24 no.3
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• pp.179-186
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• 2017

Purpose: The purpose of this study was conducted to evaluate the effects of an action learning-based nursing ethics education on the self-assertiveness and ethical values in nursing students. Methods: The study was a non-equivalent control group pretest-posttest design. This study was carried out from October 19 to December 11, 2015. Participants were fifty-six undergraduate nursing students who assigned to either an action learning-based nursing ethics education or traditional lecture. Outcomes were measured assessed self-assertiveness and ethical values using questionnaires. Results: There was a significant improvement in the self-assertiveness in the experimental group who received an action learning-based nursing ethics education than the control group who undertook the traditional lecture (p=.017). However, ethical values were not statistically signigicant between two groups (p=.347). Conclusion: This study demonstrated that an action learning-based nursing ethics education for undergraduate students is very effective in promoting self-assertiveness compared to the traditional lecture.

• Journal of Korea Multimedia Society
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• v.9 no.5
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• pp.649-657
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• 2006

Reinforcement Learning is a computational approach to learning whereby an agent take an action which maximize the total amount of reward it receives among possible actions within current state when interacting with a uncertain environment. Q-learning, one of the most active algorithm in Reinforcement Learning, is consist of rewards which is obtained when an agent take an action. But it has the problem with mapping real world to discrete states. When state spaces are very large, Q-learning suffers from time for learning. In constant, when the state space is reduced, many state spaces map to single state space. Because an agent only learns single action within many states, an agent takes an action monotonously. In this paper, to reduce time for learning and complement simple action, we propose the Q-learning using influence map(QIM). By using influence map and adjacent state space's learning result, an agent could choose proper action within uncertain state where an agent does not learn. When this paper compares simulation results of QIM and Q-learning, we show that QIM effects as same as Q-learning even thought QIM uses 4.6% of the Q-learning's state spaces. This is because QIM learns faster than Q-learning about 2.77 times and the state spaces which is needed to learn is reduced, so the occurred problem is complemented by the influence map.