• 한국수학교육학회지시리즈A:수학교육
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• 제47권4호
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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.

• 공학교육연구
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• 제13권2호
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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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• 제8권2호
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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.

• 한국컴퓨터정보학회논문지
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• 제24권2호
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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.

• 비교문화연구
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• 제29권
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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.

• 한국군사과학기술학회지
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• 제26권4호
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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 %.

• 공학교육연구
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• 제15권2호
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• pp.20-29
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• 2012

직업흥미와 적성에 맞는 일을 하는 것이 개인의 정서적 안정 및 일의 효율성 면에서 긍정적인 영향을 끼친다. 이러한 맥락에서 본 연구는 학업우수 공대학생들의 전공진입에 따른 학업성취, 학습태도, 진로결정 양상을 검토하고자 수행되었다. 이를 위하여 공대학생들을 대상으로 자신이 선택한 전공과 진로와의 연관성을 조사하였고, 연관성이 있는 집단과 그렇지 않은 집단 간에 학업성취, 학습태도, 진로타협 양상이 차이를 보이는지 분석하였다. 그 결과 공대학생의 전공과 진로방향과의 일치정도는 그들의 학업성취와 연관성이 높으며, 실제로 그들의 학습태도는 학업성취동기와 상관성이 높았고, 아울러 미래 학습태도에도 영향을 주는 것으로 나타났다. 이러한 일치 정도는 향후 진로 결정과정에도 영향을 주기 때문에 본 연구 결과는 공대학생의 진로 지도 및 교육적 지원 방안을 모색하는 데 기초 자료를 제공할 것이다.

• 대한간호학회지
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• 제49권4호
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• pp.495-504
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• 2019

Purpose: Nursing students experience a high degree of perceived stress during skills training. The resulting academic sentiment is worthy of research. This study examined the learning motivation as a mediator in the association between perceived stress and positive deactivating academic emotions in nursing students undergoing skills training. Methods: A survey was conducted on 386 third-year undergraduate nursing students at a university in Changchun, China, in 2017. The survey included the items on perceived stress, learning motivation during nursing skill training, and general academic emotion. There were 381 valid responses (response rate=98.7%). Based on the results of partial correlation and stepwise multiple regression equations, the study examined the mediation model between perceived stress, learning motivation and positive-deactivating academic emotions using process 2.16 (a plug-in specifically used to test mediation or moderation effect in SPSS). Results: There was a significant negative correlation between students' perceived stress and learning motivation during nursing skills training and positive-deactivating academic emotions. Nervousness, loss of control, and interest in developing reputation had significant predictive effects on positive-deactivating academic emotions. The mediating model was well supported. Conclusion: Learning motivation during nursing skills training lessened the damage of perceived stress on positive-deactivating academic emotions. Improving students' motivation to learn could reduce their perceived stress and build more positive emotions. Positive emotions during learning played an important role in helping nursing students improve skills and enhance their nursing competence.

• 한국융합학회논문지
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• 제10권4호
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• pp.17-23
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• 2019

본 논문은 온도 등 7 가지의 IoT 센서에서 수집된 기상데이터의 각 기상요소에 대하여 품질관리(Quality Control; QC)를 하였다. 또한, 우리는 측정된 값에 오류가 있는 데이터를 기계학습으로 의미있게 추정하는 방법을 제안한다. 수집된 기상데이터를 기본 QC 결과를 바탕으로 오류 데이터를 선형 보간하여 기계학습 QC를 진행하였으며, 기계학습 기법으로는 대표적인 서포트벡터회귀, 의사결정테이블, 다층퍼셉트론을 사용했다. 기본 QC의 적용 유무에 따라 비교해 보았을 때, 우리는 기본 QC를 거쳐 보간한 기계학습 모델들의 평균절대오차(MAE)가 21% 낮은 것을 확인할 수 있었다. 또한, 기계학습 기법에 따라 비교하여 서포트벡터회귀 모델을 적용하였을 때가, 모든 기상 요소에 대하여 MAE가 평균적으로 다층신경망은 24%, 의사결정테이블은 58% 낮은 것을 알 수 있었다.

• 한국컴퓨터그래픽스학회논문지
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• 제27권3호
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• pp.13-23
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• 2021

본 논문에서는 단일 강체 모델(single rigid body)의 무게 중심(center of mass) 좌표계와 발의 위치를 활용하여 캐릭터의 동작을 생성하는 프레임워크를 제안한다. 이 프레임워크를 사용하면 기존의 전신 동작(full body)에 대한 정보를 사용할 때 보다 입력 상태 벡터(input state)의 차원을 줄임으로써 강화 학습의 속도를 개선할 수 있다. 또한 기존의 방법보다 학습 속도를 약 2 시간(약 68% 감소) 감소시켰음에도 기존의 방법 대비 최대 7.5배(약 1500 N)의 외력을 더 견딜 수 있는 더욱 견고한(robust) 모션을 생성할 수 있다. 본 논문에서는 이를 위해 무게 중심의 다음 좌표계를 구하기 위해 중심 역학(centroidal dynamics)을 활용하였고, 이에 필요한 매개 변수(parameter)들과 다음 발의 위치와 접촉력 계산에 필요한 매개 변수들을 구하는 정책(policy)의 학습을 심층 강화 학습(deep reinforcement learning)을 사용하여 구현하였다.