• Journal of The Korean Association of Information Education
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• v.23 no.4
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• pp.363-374
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• 2019

Recently, there is an increasing interest in game based learning as a teaching method for digital native learners. This study set kinect game contributes to engaged learning as the competition and cooperation play (achievement goals, interaction), the digital game play (multisensory stimulation, fantasy and curiosity, chance, accurate feedback, control), and the body movement play (embodied cognition, presence). After performing classes using the motion recognition game developed for the elementary school history class, this study conducted semi structured interviews based on engaged learning elements of kinect game based learning for students who were successfully participating in learning. In the result, each element appeared to a successful learner. Based on these results, this study hopes to assist researchers as a basic evidence to introduce kinect game-based learning for engaged learning.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.3
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• pp.36-45
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• 2011

An agent in collaborative e-learning has independent function for learners in any circumstance, status and task by the reasonable and general means for social learning. In order to perform it well, communication among agents requires standardized and regular information technology method. This study suggests data model as a communication tool for various agents. Therefore this study shows various agents types for collaborative learning, designation of rule for data model that enable to communicate among agents and data element of agent communication data model. A multi-agent e-learning system using like this standardized data model should able to exchange the message that is needed for communication among agents who can take charge of their independent tasks. This study should contribute to perform collaborative e-learning successfully by the application of communication data model among agents for social learning.

• Journal of The Korean Association of Information Education
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• v.23 no.6
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• pp.583-590
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• 2019

The purpose of this study is to develop an educational program for learning deep learning concepts for elementary school students. The model of education program was developed the deep-learning teaching method based on CT element-oriented teaching and learning model. The subject of the developed program is the artificial intelligence image recognition CNN algorithm, and we have developed 9 educational programs. We applied the program over two weeks to sixth graders. Expert validity analysis showed that the minimum CVR value was more than .56. The fitness level of learner level and the level of teacher guidance were less than .80, and the fitness of learning environment and media above .96 was high. The students' satisfaction analysis showed that students gave a positive evaluation of the average of 4.0 or higher on the understanding, benefit, interest, and learning materials of artificial intelligence learning.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.523-532
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• 2019

Metacognition is a core element for nurses' clinical competency as a result of the learner's development and evaluate goals and plans for problem solving. The study aimed to analyze factors related to metacognition among undergraduate nursing students. The 205 nursing students participated from August 15 to October 19, 2017 to measure metacognition, self-directed learning, grit, learning environment and learning style. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient, and multiple regression with the SPSS/Win 22.0 program. Metacognition represented a positive correlation with self-directed learning, grit, learning environment. The self-directed learning and grit were significant factors on undergraduate nursing students' metacognition. As a result of this study, it is necessary to develop curriculum that can improve metacognition level by increasing self-directed learning ability and grit of undergraduate nursing student.

• The Korean Journal of Elementary Counseling
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• v.5 no.1
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• pp.119-137
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• 2006

The purpose of this study is to develop a group counseling program to improve the learning habits of the elementary school children who experience difficulties learning, because of their wrong learning habits. To achieve it, the sub-elements of learning habits are set by "learning motive & attitude" and "learning technique" A group counseling program composed of the essential factors suitable for each element are srhseqrently, devised to pursue the improvement of learning habits. The study propositions are set as follows: Can the group counseling program improve the learning habits of elementary school children? 1. Can the group counseling program improve the learning motive and attitude of elementary school children? 2. Can the group counseling program improve the learning technique of elementary school children? The subject of this study is the 4th graders of W elementary school located in Gwangju Metropolitan City. After selecting 12 pupils from low scorers after a learning habits test, Each 6 of those are randomly assigned to an experimental group and a control group, respectively. In this way, they are pcrticipate in the group counseling program. The group counseling program is consisted of 10 sessions. The program is implemented for six weeks with a 50 min duration per session. As a measuring tool, a restructured test with only motive variables and technique variables, excluding remaining variables, from the Learning Habits Test by Choi Jong-Ryul (1992) is used for pre and post tests. The results of the study is acquired by integrating the statistics from the test tool. Observation of the counselor and testees' thoughts are as follows: The group counseling program affects the sub-elements of learning habits positively, namely learning motive & attitude and learning technique. The program applied in this study is effective in improving the learning habits of the pupils with lower learning habits. Accordingly, this program can be one of the methods to develop effective learning habits, set efficient strategies and exert abilities maximally for the learners, who did not adequately exert their abilities, due to wrong learning habits, while ineffectively learning without knowing effective learning habits. To improve and maintain the learning habits of the elementary school pupils, overall understanding should be backed in order to precisely analyze and identify the learning habits of the pupils. Besides, an association between schools and homes is also needed along with parents' concerns over their children's learning habits at home.

• The Journal of Korean Physical Therapy
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• v.32 no.5
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• pp.283-289
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• 2020

Objective: The purpose of this study was to determine the force of lower extremities, the change in walking ability on the ground by applying a walking training program based on perceptual learning to improve gait capacity of chronic stroke patients. Method: This study included Twenty-four patients with chronic stroke. Using a perceptual-based gait training, the experimental group trained twice a day for 30 minutes each time, 5 times a week, for a total of 8 weeks. The control group underwent ground gait training that excluded the element of a perceptual training for 30 minutes, 5 times a week for 8 weeks. Results: In the two groups, the maximum forefoot pressure after intervention was significantly different in both the LEPGT and GGT (p<0.05). The maximum midfoot pressure was significantly different in LEPGT (p<0.05). There was a significant difference in the maximum heel pressure after intervention between the two groups (p<0.05). As a result of comparing the change in step length and stride length after intervention in the two groups, there was a significant difference between the two groups (p<0.05). Conclusion: Both gait training programs was found that gait training based on perceptual learning and ground gait training were the training for improving the functional gait of stroke patient. Perceptual learning gait training utilizing intensive perceptual awareness was the training for improving gait capacity within the period than ground gait training.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.10a
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• pp.37-43
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• 2001

New product development has been a key element fur organizational evolution. The bulk of research about new product strategy has focused solely on new product development function itself. This paper investigates cross-functional elements in new product development. More specifically, we suggest that there must exist a fit between new product strategy and value chain strategy. It means that, in order to support new product development activity, there must exist a relevant value chain strategy. We consider three types of integration - internal integration, customer integration, and supplier integration - as strategic elements of value chain strategy. For the case of new product strategy, we consider market newness and product technology unfamiliarity as strategic elements. We also consider two types of learning characteristic, i.e., \\\"fast-adaptive learning\\\" and \\\"slow-adaptive leaning\\\" as control factor. Learning characteristic represents firms organizational capability related with organizational learning. For example, fur fast-adaptive learning case, the effect of integration appears early in time. System dynamics simulation is employed to verify our research framework. The results exhibit that there must exist cross-functional relationships between value chain strategy and new product strategy in order to shorten total development time.al development time.

• The KIPS Transactions:PartA
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• v.13A no.6 s.103
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• pp.555-560
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• 2006

In contrast with the earlier remote education that simply recorded off-line classes, modern remote education emphasizes on offering additional functions that could maximize learning efficiency. Usage of such multimedia information as the texts, graphics, sounds, animations is considered fundamental element in offering the additional functions. This paper designs and implements an encoder/decoder that could accommodate the multimedia information with emphasis on demonstrating execution files. Instructors can demonstrate my type of execution files or application data files, and the remote learners can freely try running the corresponding execution files by themselves. Consequently, a high-level of learning efficiency can be achieved by the proposed encoder/decoder.

• Journal of the Korean Society of Systems Engineering
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• v.19 no.2
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• pp.18-31
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• 2023

Exploring artificial intelligence and machine learning for nuclear safety has witnessed increased interest in recent years. To contribute to this area of research, a machine learning model capable of accurately predicting nuclear power plant response with minimal computational cost is proposed. To develop a robust machine learning model, the Best Estimate Plus Uncertainty (BEPU) approach was used to generate a database to train three models and select the best of the three. The BEPU analysis was performed by coupling Dakota platform with the best estimate thermal hydraulics code RELAP/SCDAPSIM/MOD 3.4. The Code Scaling Applicability and Uncertainty approach was adopted, along with Wilks' theorem to obtain a statistically representative sample that satisfies the USNRC 95/95 rule with 95% probability and 95% confidence level. The generated database was used to train three models based on Recurrent Neural Networks; specifically, Long Short-Term Memory, Gated Recurrent Unit, and a hybrid model with Long Short-Term Memory coupled to Convolutional Neural Network. In this paper, the System Engineering approach was utilized to identify requirements, stakeholders, and functional and physical architecture to develop this project and ensure success in verification and validation activities necessary to ensure the efficient development of ML meta-models capable of predicting of the nuclear power plant response.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.2
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• pp.91-106
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• 2017

In This Study, we Analyze how the Market Orientation and Learning Orientation that can be Regarded as the Two core Factors of Small Business, Necessary for Companies to Grow Continuously Influence on Corporate Performance. This is an Empirical Study on the Influence of them. Small Companies have a Greater Impact on the Survival and Growth of Organization Commitment I Experienced that. In this Study, we Focused on the Mediating Effect of Organization Commitment when the Company's Market Orientation and Learning Orientation Influenced on the Corporate Performance as a Differentiated Element of Research. Research results have Revealed that Surprisingly, Small Companies Market Orientation and Influence on Corporate Performance. This is an Empirical Study on the Influence of them. Small Companies have a Greater Impact on the Survival and Growth of Organization Commitment I Experienced that. In this Study, we Focused on the Mediating effect of Organization Commitment when the Company's Market Orientation and Learning Orientation Influenced on the Corporate Performance as a Differentiated Element of Research. Research results have Revealed that Surprisingly, Small Companies Market Orientation and Learning Orientation had a Significant Influence on Corporate Performance. It was also Verified that Organization Commitment had Partially Mediated Effects. In Conclusion, as a Prerequisite for Small Enterprises to grow, we have to Create Market Oriented and Learning Oriented Organization and at the same time we should Strive to Ensure that all Organization Members have Attachment Relationships with their Organization. It is Understood that it must be. The Results of these Studies will be Helpful for not only Individuals who Prepare for Founding and Founded but also Start-up Related Officials.