• 한국콘텐츠학회논문지
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• 제16권12호
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• pp.203-212
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• 2016

본 연구의 목적은 문제중심학습을 적용한 시뮬레이션 실습 교육이 간호학생의 문제해결능력, 비판적 사고성향 및 학습만족도에 영향을 미치는 효과를 파악하고자 시도되었다. 연구 대상자는 K 지역 U 대학교 통합시뮬레이션 실습교과목을 수강한 63명의 간호학생으로 자료는 자가보고식 설문지를 이용하여 시뮬레이션 실습 수업 전 후에 수집되었다. 연구결과 문제해결능력과 학습만족도가 유의하게 향상된 효과가 있는 것으로 나타났으며, 문제해결능력, 비판적 사고성향 및 학습만족도간에는 양의 상관관계가 나타나 문제해결능력이 높아지면 비판적 사고성향과 학습만족도가 향상되는 것으로 나타났다. 따라서 문제중심학습을 적용한 시뮬레이션 실습교육이 문제해결능력과 학습만족도를 향상시키고 비판적 사고성향을 향상시키기 위해서는 충분한 반복 연습이 실습에서 이루어져야 할 것으로 사료된다.

• 문화기술의 융합
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• 제9권2호
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• pp.251-259
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• 2023

본 연구는 성인대학생의 사회적지지, 대학교육서비스품질, 학습몰입의 관계에서 학습동기의 매개효과를 검증하여 성인대학생의 학습효과 향상과 학습촉진 강화를 위한 학습체계 구축에 기초자료를 제공하고자 하였다. 이를 위하여 대구광역시와 경상북도에 위치한 2~3년제와 4년제 대학교에 재학 중인 성인대학생 573명을 대상으로 설문조사를 실시하였다. 분석한 연구결과는 다음과 같다. 첫째, 사회적지지와 학습몰입의 관계에서 학습동기는 부분 매개효과가 있는 것으로 나타났다. 둘째, 대학교육서비스품질과 학습몰입의 관계에서 학습동기는 완전 매개효과가 있는 것으로 나타났다. 이상의 연구결과는 성인대학생의 학습몰입을 높이기 위해서는 다양한 지지체계 구축과 교육서비스 향상을 위한 지속적인 개발과 노력이 필요하다는 것을 시사한다.

• Industrial Engineering and Management Systems
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• 제15권2호
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• pp.148-155
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• 2016

Existing power plants may consume significant amounts of fuel and require high operating costs, partly because of poor electrical power output estimates. This paper suggests a continuous conditional random field (C-CRF) model to predict more precisely the full-load electrical power output of a base load operated combined cycle power plant. We introduce three feature functions to model association potential and one feature function to model interaction potential. Together, these functions compose the C-CRF model, and the model is transformed into a multivariate Gaussian distribution with which the operation parameters can be modeled more efficiently. The performance of our model in estimating power output was evaluated by means of a real dataset and our model outperformed existing methods. Moreover, our model can be used to estimate confidence intervals of the predicted output and calculate several probabilities.

• 디지털융복합연구
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• 제10권11호
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• pp.377-382
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• 2012

본 논문은 반향 제거 평균 예측 LMS 알고리즘을 이용하여 반향 잡음에 강인한 연속 음성 인식 모델인 CHMM 모델을 구성하는 방법을 제안하였다. 변화하는 반향 잡음에 적응하고 연속 음성 인식 성능 향상을 위한 반향 잡음 제거 평균 예측 LMS 알고리즘을 이용하여 CHMM 모델을 구성하였다. 제안한 알고리즘에 의해 구성된 CHMM 모델에 대하여 연속 인식 성능을 평가하였다. 실험 결과 변화하는 환경 잡음을 제거하여 얻은 음성의 SNR은 평균 1.93dB이 향상되었고 연속 음성의 인식률은 2.1% 향상되었다.

• 한국학교수학회논문집
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• 제23권4호
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• pp.523-556
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• 2020

이공계열 대학 신입생들이 함수의 극한, 함수의 연속과 관련된 기초 개념을 어느 정도 이해하고 있는지 조사·분석하였다. 조사 결과, 개념들을 연결하여 이해한 대학생들에 비해 그렇지 못한 대학생들이 많이 나타났다. 그러므로 대학 교양 수학을 지도하기 위해 대학 신입생들이 기초수학 개념을 어느 정도 연결하여 이해하고 있는지 조사·분석하여 대학생 개개인에게 적합한 교수·학습법을 적용할 필요성이 있다.

• Journal of Multimedia Information System
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• 제9권2호
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• pp.93-102
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• 2022

Dependency parsing is a decision problem of the syntactic relation between words in a sentence. Recently, deep learning models are used for dependency parsing based on the word representations in a continuous vector space. However, it causes a mislabeled tagging problem for the proper nouns that rarely appear in the training corpus because it is difficult to express out-of-vocabulary (OOV) words in a continuous vector space. To solve the OOV problem in dependency parsing, we explored the proper noun embedding method according to the embedding unit. Before representing words in a continuous vector space, we replace the proper nouns with a special token and train them for the contextual features by using the multi-layer bidirectional LSTM. Two models of the syllable-based and morpheme-based unit are proposed for proper noun embedding and the performance of the dependency parsing is more improved in the ensemble model than each syllable and morpheme embedding model. The experimental results showed that our ensemble model improved 1.69%p in UAS and 2.17%p in LAS than the same arc-eager approach-based Malt parser.

• 대한화학회지
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• 제60권2호
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• pp.137-143
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• 2016

Effective teaching and learning is a continuous process of monitoring and re-organization of teaching method, so to benefit both students and educators. Reflective journal writing is an effective method for students to reflect on their learning experience about a new concept or subject taught and at the same time enables educators to improve on their academic skills. In the present paper, we have examined and evaluated the effectiveness of the Uncritical Inference Test (UIT) that was conducted in our basic organic chemistry course through a systematic network built based on students’ reflective writing. From the data analysis, the UIT has benefited students in three dimensions, namely cognitive, affective and group learning domains. Moreover, the UIT activity instilled an active learning environment in organic chemistry classroom and deeper learning among chemistry students as shown in the collected data. In future, this activity could be adapted as a teaching method to enhance students’ critical thinking skills and question-asking capability in other teaching courses.

• 한국초등과학교육학회지:초등과학교육
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• 제28권3호
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• pp.340-351
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• 2009

The purpose of this study was to investigate the effect of case-based learning program on three elementary students' scientific problem solving and attitudes in science class. For this study, case-based learning program was designed for bridging students' scientific knowledge and their personal experiences in real life through 4 stages: understanding the problem, planning for problem solving, conducting problem solving, and making conclusion. This study was carried out through 17 lessons of 4th grade for 6 weeks. The data was collected through close observation on three students in two groups in a class. The results include that cased-based learning program showed overall positive effects on the elementary students' scientific problem solving and attitudes in class. In particular, it turned out that the continuous emphasis of real world examples in case-based learning had powerful impacts on students' problem solving abtsity, motivation, and participation in classroom activities. The key factors to successful problem solving in school science was discussed.

• 아동학회지
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• 제34권1호
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• pp.123-140
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• 2013

The purpose of this study was to examine the effects of counting ability on young children's mathematical ability and mathematical learning potential. The subjects in this study were 75 young children of 4 & 5 years old who attended kindergartens and child care center in the city of B. They were evaluated in terms of counting ability, mathematical ability and mathematical learning potential(training and transfer) and the correlation between sub-factors and their relative influence on the partipants' mathematical ability was then analyzed. The findings of the study were as follows : First, there was a close correlation between the sub-factors of counting and those of mathematical ability. As a result of checking the relative influence of the sub-factors of counting on mathematical ability, reverse counting was revealed to have the largest impact on total mathematical ability scores and each sub-factors including algebra, number and calculation, geometry and measurement. Second, the results revealed a strong correlation between counting ability and mathematical learning ability. Regarding the size of the relative influence of the sub-factors of counting ability on training scores, reverse counting was found to be most influential, followed by continuous counting. While in relation to transfer scores, reverse counting was found to exert the greatest influence.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1911-1916
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• 2005

In this study, the basic motor control system had been investigated. The Discrete-Time Feedback Error Learning (DTFEL) method is used to control this system. This method is anologous to the original continuous-time version Feedback Error Learning(FEL) control which is proposed as a control model of cerebellum in the field of computational neuroscience. The DTFEL controller consists of two main parts, a feedforward controller part and a feedback controller part. Each part will deals with different control problems. The feedback controller deals with robustness and stability, while the feedforward controller deals with response speed. The feedforward controller, used to solve the tracking control problem, is adaptable. To make such the tracking perfect, the adaptive law is designed so that the feedforward controller becomes an inverse system of the controlled plant. The novelty of FEL method lies in its use of feedback error as a teaching signal for learning the inverse model. The PD control theory is selected to be applied in the feedback part to guarantee the stability and solve the robust stabilization problems. The simulation of each individual part and the integrated one are taken to clarify the study.