• Educational Technology International
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• 제13권2호
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• pp.233-255
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• 2012

The purpose of this study is to examine the relationships among the factors that affect technology knowledge, learning strategies with technology, and academic self-efficacy of college students. Technology and its utilizing ability is a critical competency for the learners to acquire to live in the Digital Era of 21st century. However, little is known about how the competency involving technology affects academic self-efficacy. To address the aim of the study, a survey was conducted with 39 questions including technology knowledge, learning strategies with technology, and academic self-efficacy targeting 137 students in A university. The result of the structural equation modeling shows that the technology knowledge of college students indirectly influences the academic self-efficacy. The learning strategies with technology are mediating variable linking technology knowledge with academic self-efficacy. Technology knowledge explains 71% of variance in learning strategies with technology. Therefore, college students need to keep up with knowledge of technology and improve learning strategies with technology to activate academic self-efficacy.

• 영재교육연구
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• 제19권1호
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• pp.95-117
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• 2009

본 연구는 과학영재 고등학생의 과학과 영어과목에서의 자기조절학습전략 사용 및 동기에서의 차이와 학업성취와의 관계를 알아보았다. 연구대상자는 과학영재 고등학교 1학년 144명이었다. 연구결과, 과학영재는 영어과목보다 과학과목에서 자기조절학습전략에 해당하는 인지전략, 초인지 전략, 자원관리전략을 적극적으로 사용하였고 동기 또한 유의미하게 높았다. 과학영재가 사용한 자기조절학습전략은 물리학점의 개인차를 전혀 설명해주지 못하였고 동기의 변인 중 과제가치만이 물리학점 분산의 2퍼센트를 설명해 주었다. 영어과목에서는 초인지 전략이 영어학점 분산의 8퍼센트를 설명해주고 자원관리전략 중 시간 및 공부환경조절이 15퍼센트를 설명해주는 것으로 나타났다. 그리고, 동기의 변인 중 자기효능감이 영어학점 분산의 30퍼센트를 설명해 주었다. 이러한 연구결과는 동질그룹인 과학영재가 교과목에 따라 어떠한 자기조절 학습전략과 동기를 사용하는 것이 중요한지를 시사해주고 있다. 이러한 결과를 토대로 효율적인 학업수행을 위해 어떠한 점이 교수학습과정에서 도모되어야 하는지 그 시사점이 논의되었다.

• Journal of Korean Biological Nursing Science
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• 제25권2호
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• pp.87-94
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• 2023

Purpose: The purpose of this study was to identify the impact of cognitive flexibility and e-learning digital literacy on the learning flow of nursing students who had experienced e-learning. Methods: The research design for this study was a descriptive survey using convenience sampling. Data were collected using online questionnaires completed by 134 nursing students in Andong city and Pocheon city. The data were analyzed using percentages, mean values, standard deviations, Pearson's correlation coefficients, and multiple regression with SPSS for Windows version 22.0. Results: Positive correlations were found between learning flow and e-learning digital literacy (r = .43, p < .001), between learning flow and cognitive flexibility (r = .52, p < .001), and between e-learning digital literacy and cognitive flexibility (r = .65, p < .001). In the multiple regression analysis, cognitive flexibility (β = .42, p < .001) was a significant predictor that explained 27.8% of variance in learning flow. Conclusion: The results of this study show that cognitive flexibility is a factor influencing learning flow in nursing students. Based on the results of the study, educational programs aiming to improve learning flow should include methods that improve cognitive flexibility.

• 제어로봇시스템학회논문지
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• 제2권2호
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• pp.108-114
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• 1996

We present proofs of the stability and convergence of Self-organizing feature map (SOFM) neural network with time-invarient learning rate and binary reinforcement function. One of the major problems in Self-organizing feature map neural network concerns with learning rate-"Kalman Filter" gain in stochsatic control field which is monotone decreasing function and converges to 0 for satisfying minimum variance property. In this paper, we show that the stability and convergence of Self-organizing feature map neural network with time-invariant learning rate. The analysis of the proposed algorithm shows that the stability and convergence is guranteed with exponentially stable and weak convergence properties as well.s as well.

• 한국간호교육학회지
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• 제6권2호
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• pp.359-375
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• 2000

PBL can be defined as an active, self-directed and student-centered learning, and an opposite way of classroom teacher-centered learning which has been traditional role learning. PBL enables students think more efficiently and effectively when puzzling through the patient problems. The purpose of this study is to find out the perception of student nurse about PBL, the characteristics and the structure of the type for PBL. The research process is as follow : First, the researcher selected 35 statements for PBL with the content analysis of in depth interview and the literature review. Second, the researcher asks 38 student nurse to classify the statement cards. The result of the research is that the type of student nurse's PBL perception is divided into 4 types(Affirmative type, Negative type, Suspicious type, and Preferable type), and the explanative total variance is 44 percent. In relation to this, if PBL well combined and adapted in our traditional curriculum will change our nursing education in better direction.

• Journal of information and communication convergence engineering
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• 제5권1호
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• pp.50-53
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• 2007

This paper presents face features detection and a new physiological neuro-fuzzy learning method by using two-dimensional variances based on variation of gray level and by learning for a statistical distribution of the detected face features. This paper reports a method to learn by not using partial face image but using global face image. Face detection process of this method is performed by describing differences of variance change between edge region and stationary region by gray-scale variation of global face having featured regions including nose, mouse, and couple of eyes. To process the learning stage, we use the input layer obtained by statistical distribution of the featured regions for performing the new physiological neuro-fuzzy algorithm.

• ETRI Journal
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• 제43권6호
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• pp.1004-1012
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• 2021

The collaboration productively interacting between multi-agents has become an emerging issue in real-world applications. In reinforcement learning, multi-agent environments present challenges beyond tractable issues in single-agent settings. This collaborative environment has the following highly complex attributes: sparse rewards for task completion, limited communications between each other, and only partial observations. In particular, adjustments in an agent's action policy result in a nonstationary environment from the other agent's perspective, which causes high variance in the learned policies and prevents the direct use of reinforcement learning approaches. Unexpected social loafing caused by high dispersion makes it difficult for all agents to succeed in collaborative tasks. Therefore, we address a paradox caused by the social loafing to significantly reduce total returns after a certain timestep of multi-agent reinforcement learning. We further demonstrate that the collaborative paradox in multi-agent environments can be avoided by our proposed effective early stop method leveraging a metric for social loafing.

• 한국항공운항학회지
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• 제31권4호
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• pp.90-104
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• 2023

This study analyzes the perceptions of college students majoring in aviation services according to the field learning program conducted during their major studies in order to reflect the educational value and academic awareness of the experience of the experiential field learning program. A survey is conducted targeting college students who experience a field learning program conducted by the Aviation Service Department of J University, a four-year university in the Chungcheong region. ANOVA (one-way analysis of variance) is conducted to analyze differences in perceptions of field learning properties, learning satisfaction, academic self-efficacy, and intention to continue studying. Additionally, text mining is conducted using 'Voyant Tools' to analyze students' field trip logs regarding field trip learning program activities. I hope that the results will be used as evidence to build an efficient and systematic learning strategy for operating field learning programs.

• 한국콘텐츠학회논문지
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• 제10권3호
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• pp.404-412
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• 2010

본 연구는 사이버대학생의 개인적 변인, 교육기관 변인, 사회적 변인이 중도탈락의도 결정에 미치는 영향을 알아봄으로 사이버대학생의 중도탈락동기를 낮추고 학업 지속 환경을 조성하는데 기초 자료를 제시하고자 하였다. 이를 위하여 A사이버대학에 재학생을 대상으로 편의 표집법(convenience sampling)을 이용하여 2009년 4월 1일부터 5월 31일까지 500명에게 설문을 의뢰하였다. 수집된 336명의 자료 중 응답내용이 불성실하다고 판단되거나 중다반응으로 유효하지 않은 자료 총 32명 응답분량을 제외하여 본 연구에서는 총 304부를 분석에 사용하였다. 자료분석은 SPSS for Winow 15.0을 활용하여 로지스틱 회귀분석을 실시하였다. 연구결과 첫째, 개인의 흥미변인이 중도탈락 의도에 영향을 주는 것으로 나타났다. 둘째, 교육기관 환경적 변인이 중도탈락 의도에 영향을 주는 것으로 나타났다. 셋째, 사회적 환경변인이 중도탈락 의도에 영향을 주는 것으로 나타났다. 넷째, 개인, 교육기관, 사회적 변인이 사이버 대학생의 중도탈락 의도에 미치는 영향 중 개인 변인만이 통계적으로 유의미하게 중도탈락 의도를 결정하지 않게 하는 데 유의미한 영향을 주는 것으로 나타났다.

• 한국해양학회지:바다
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• 제27권2호
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• pp.49-70
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• 2022

해수면 온도는 기후와 바다의 생태계 그리고 인간의 활동에까지 중요한 영향을 미치는 해수의 특성 중 하나로 이를 예측하는 것은 항상 중요하게 다뤄지는 문제다. 최근 들어 과거의 패턴을 학습하여 예측값을 생성할 수 있는 딥러닝을 활용한 해수면 온도 예측이 복잡한 수치모델을 이용한 예측의 대안으로 주목받고 있다. 딥러닝은 입력 자료 간의 비선형적인 관계를 추정할 수 있는 것이 큰 장점이며, 최근 컴퓨터 그래픽카드의 발달로 많은 양의 데이터를 반복적이고 빠르게 계산할 수 있게 되었다. 본 연구에서는 기존의 딥러닝 모델의 단점들을 보완하면서 시공간 자료를 다룰 수 있는 합성곱 신경망(Convolutional Neural Network) 기반의 U-Net을 통해 단기 해수면 온도 예측을 수행하였다. 개발한 딥러닝 모델을 이용한 한국 남부 근해 해수면 온도의 단기 예측은 예측일의 해수면 온도의 중장기 변동성에 따라 달라지는 성능을 보였다. 해수면 온도 변동성의 증감은 계절적 변동 뿐 아니라 Pacific Decadal Oscillation (PDO) 지수의 변동과도 유의미한 상관관계를 보였는데, 이는 계절 변동 및 PDO에 따른 기후 변화에 기인한 수온 전선의 강도 변화가 해수면 온도의 시공간적 변동성에 영향을 줌으로써 발생했음을 확인하였다. 본 연구는 해수면 수온 자료가 가지고 있는 계절적 변동성과 경년 변동성이 딥러닝 모델의 해수면 단기 수온 예측 성능에 기여함을 밝힌 것에 그 의의가 있다.