• Journal of Physiology & Pathology in Korean Medicine
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• v.25 no.2
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• pp.300-305
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• 2011

The present study was investigated the neuroprotective effects of acupuncture at ST36 on learning and memory deficits after transient cerebral ischemia in a gerbil model. The animals were randomly divided into three groups (n=7 in each group): the sham operation group (SHAM), ischemia-induced and ST36 acupuncture group (ISC + ST36), and the ischemia-induced and Tail-acupuncture group (ISC + TAIL). For the acupuncture stimulation, stainless steel needles, 0.3 mm in diameter, were inserted bilaterally into the ST36 locus or the tail and stimulated for 1 min/day for 14 days. Using the Morris water maze test, the animals were tested on spatial learning and memory. In addition, the effects of acupuncture on memory storage and the choline acetyltransferase (ChAT) activity, in the hippocampal CA1 area, were investigated by ChAT immunohistochemistry. Transient cerebral ischemia produced impaired performance on the MWM test (DAY 5: p<0.01 and retention test: p<0.05) and severely decreased ChAT immunoreactivity in the CA1 hippocampal area compared to the SHAM group (p<0.05). However, improved learning and memory were observed (DAY 5: p<0.05 and retention test: p<0.01) as well as a significantly reduced loss of ChAT immunoactivity in the hippocampal CA1 region (p<0.001) after acupuncture stimulation at ST36 were observed. These results show that acupuncture at ST36 ameliorated the learning and memory deficits at least in part through the cholinergic system. The findings of this study provide potential data that acupuncture is useful for the treatment of some of the behavioral impairs of transient cerebral ischemia.

• Korean Journal of Adult Nursing
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• v.17 no.4
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• pp.635-645
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• 2005

Purpose: This study was attempted and completed in order to settle down and qualitatively improve web-based nursing education by evaluating effect and managing strategy of tutor. Method: The development of tutor's managing strategy was based on "The Self-regulated Learning" and "The supportive Learning", then it was applied to 79 learners in one of the cyber-learning centers. After applying the tutor's managing strategy, self-regulated learning scale, attitude for school, preference for computer and academic achievement were evaluated. The development of tutor's managing strategy for web-based nursing education are consisted of participation promotion, psychological support and motivation, recognition and promotion strategy of learning activity, management strategy of evaluating stage. Result: The levels of learner's self-regulated learning, recognition, behavior, attitude on the school and learning achievement were meaningfully increased in statistics after applying for the managing strategy of tutor. The motivation level and learning participation kept high scores from the beginning with no significant statistical changes. Conclusion: It is required to develop an educational program for cultivating well-educated tutors in order to help the effective learning process of nurses based on understanding characteristics of learners.

• Journal of Engineering Education Research
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• v.20 no.2
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• pp.31-38
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• 2017

In this study, specific teaching methods of lecturing and improved discussion methods (combining discussion and problem-based learning) were selected and applied for each major subject and learning content area in the fields of engineering, language, and social sciences. Then, the selected teaching methods were examined to determine the most effective learning contents. Finally, in order to determine the most effective teaching methods, a survey on student satisfaction was analyzed statistically. The results showed that students preferred teaching methods that combine lectures and improved discussion methods to the traditional method of only lectures. Therefore, this research proposes the combined teaching method for each major subject and learning content area.

• Journal of Information Technology Applications and Management
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• v.17 no.3
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• pp.135-150
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• 2010

Interactivity has been referred to as an important element promoting students' active participation in virtual classes. Assuming that interactivity cannot be defined by a single dimension, this study proposes multi-dimensional interactivity. Multi-dimensional interactivity includes all types of interactivity in e-learning. This study explored multi-dimensional interactivity which affects learners' satisfaction with e-learning. Data were collected from 132 students who had attended e-learning courses and the relationship between multi-dimensional interactivity and learners' satisfaction levels were tested through regression analysis. The result of this study showed that mechanical, reactive, and creative interactivity were positively related to learners' satisfaction. However, social interactivity seemed not to be related to learners' satisfaction. This study provides new insights on interactivity and verifies the importance of the multi-dimensional interactivity. The result of this study is expected to provide practical implications for interactivity strategies in e-learning.

• The Mathematical Education
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• v.47 no.4
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• pp.467-486
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• 2008

The purpose of this study is to investigate effectiveness of the cyber home study to improve the self-directed learning ability. For this study, 21 middle school students took voluntarily part in the 4 weeks cyber home study in Wulsan teaching & learning center and 3 students were interviewed among them. The results of this study were as follows; First, the 4-weeks experimental cyber home study is shown to be effective for improving the self-directed learning ability, specialty for the intermediate and low level students, Second, it is shown that the cyber home study enable students to have positive attitude as well as interest and confidence in the mathematical learning.

• Journal of Engineering Education Research
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• v.13 no.2
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• pp.12-15
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• 2010

Learning community is one of the important pillars of the education in knowledge-based society. How to encourage students' spontaneous participation to the learning community is one of the actual problems to solve for the revolution of the education scheme. In this paper we introduce a strategy to boost the activity of the learning community, which works in the on-line space. The keys for the on-line supporting system for the learning community are to have communication space, trading space and connection with industry. To support activities of each space, we provide an on-line web site which includes a community module, a knowledge market module and an industrial commentary module. Students can start their self-leading study in the communication space, and they can also practice skills for the knowledge management in the knowledge trading space. Through the connection space, they can learn more from the real world critics with help of industry.

• International Journal of Advanced Culture Technology
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• v.8 no.2
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• pp.176-183
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• 2020

This study inquired about the convergence learning program for childhood based on Erikson's play theory and design education for children's behavior development. I analyzed the convergence learning programs of Summer Camps in the Pacific Science Center, Galileo Learning. The contents of the programs show the most used imaginary and symbolic contents that represent the real-world problems which are related design thinking process. The curriculums and structure of the programs are based on the design thinking method and K-12 theory. The visual thinking method and the applications are used for expressing their creativity and approaching the technical skills easily. The play concept theory is an affirmative way to strengthen the children's psychological and social development. Therefore, the convergence learning program should integrate the design thinking process and apply the play concept theory for supporting and developing the children's behavior.

• Journal of the Korea Society of Computer and Information
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• v.24 no.2
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• pp.17-24
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• 2019

In this paper, we propose a new model for predicting effective Win/Loss in professional baseball game in Korea using machine learning technique. we used basic baseball data and Sabermetrics data, which are highly correlated with score to predict and we used the deep learning technique to learn based on supervised learning. The Drop-Out algorithm and the ReLu activation function In the trained neural network, the expected odds was calculated using the predictions of the team's expected scores and expected loss. The team with the higher expected rate of victory was predicted as the winning team. In order to verify the effectiveness of the proposed model, we compared the actual percentage of win, pythagorean expectation, and win percentage of the proposed model.

• Cross-Cultural Studies
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• v.29
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• pp.413-452
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• 2012

The purpose of this study is to examine and apply Blended Learning to Chinese reading class and give some suggestions for Chinese reading class for realizing the interactive model for reading. For learner's improvement in Chinese reading level, various teaching methods need to be applied to Chinese reading class. Among teaching methods, this article tried to apply Blened Learning in terms of interaction, because Blended Learning can follow the general trend that all of people use laptop, smartphone, etc., and also can be contribution to reading as performance in foreign language learning. As a result, Blended Learning can make learner prepare class for giving online contents, and can make teacher and learner have more chances of interaction in class for improving reading competence.

• Journal of the Korea Institute of Military Science and Technology
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• v.26 no.4
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• pp.361-370
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• 2023

Swarm has recently become a critical component of offensive and defensive systems. Multi-agent reinforcement learning(MARL) empowers swarm systems to handle a wide range of scenarios. However, the main challenge lies in MARL's scalability issue - as the number of agents increases, the performance of the learning decreases. In this study, transfer learning is applied to advanced MARL algorithm to resolve the scalability issue. Validation results show that the training efficiency has significantly improved, reducing computational time by 31 %.