• 제목/요약/키워드: active learning

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Interactive Video Player for Supporting Learner Engagement in Video-Based Online Learning

  • YOON, Meehyun;ZHENG, Hua;JO, Il-Hyun
    • Educational Technology International
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    • 제23권2호
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    • pp.129-155
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    • 2022
  • This study sought to design and develop an interactive video player (IVP) capable of promoting student engagement through the use of online video content. We designed features built upon interactive, constructive, active, passive (ICAP), and crowd learning frameworks. In the development stage of this study, we integrated numerous interactive features into the IVP intended to help learners shift from passive to interactive learning activities. We then explored the effectiveness and usability of the developed IVP by conducting an experiment in which we evaluated students' exam scores after using either our IVP or a conventional video player. There were 158 college students who participated in the study; 76 students in the treatment group used the IVP and 82 students in the control group used a conventional video player. Results indicate that the participants in the experiment group demonstrated better achievement than the participants in the control group. We further discuss the implications of this study based on an additional survey that was administered to disclose how usable the participants perceived the IVP to be.

Clinical Implementation of Deep Learning in Thoracic Radiology: Potential Applications and Challenges

  • Eui Jin Hwang;Chang Min Park
    • Korean Journal of Radiology
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    • 제21권5호
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    • pp.511-525
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    • 2020
  • Chest X-ray radiography and computed tomography, the two mainstay modalities in thoracic radiology, are under active investigation with deep learning technology, which has shown promising performance in various tasks, including detection, classification, segmentation, and image synthesis, outperforming conventional methods and suggesting its potential for clinical implementation. However, the implementation of deep learning in daily clinical practice is in its infancy and facing several challenges, such as its limited ability to explain the output results, uncertain benefits regarding patient outcomes, and incomplete integration in daily workflow. In this review article, we will introduce the potential clinical applications of deep learning technology in thoracic radiology and discuss several challenges for its implementation in daily clinical practice.

Effectiveness of Self-directed Learning on Competency in Physical Assessment, Academic Self-confidence and Learning Satisfaction of Nursing Students

  • Shin, Yun Hee;Choi, Jihea;Storey, Margaret J.;Lee, Seul Gi
    • 기본간호학회지
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    • 제24권3호
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    • pp.181-188
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    • 2017
  • Purpose: Competency in physical assessment is an important component of nursing practice. However, some physical assessment skills are not being utilized within the current teacher-centered, content-heavy curriculum. This study was conducted to identify the effects of student-centered, self-directed learning in the physical assessment class. Methods: An experimental study with a post-test only control group design was used to compare an intervention group that was provided self-directed learning classes and a control group that was provided traditional lecture and practice classes. Competency in physical assessment, academic self-confidence, and learning satisfaction were evaluated. Collected data were analyzed using $x^2$-test (Fisher's exact test) and independent t-test. Results: Competency in physical assessment was significantly higher in the experimental group. However, academic self-confidence and learning satisfaction were not significantly different between the groups. Conclusion: The findings in this study indicate that self-directed learning can improve nursing students competency in physical assessment and that self-directed learning is a good education method to improve nursing students' competency in physical assessment during clinical practice and perform quality patient care by making active use of physical assessment skills.

다층 구조 신경회로망의 학습 속도 향상을 위한 활성화 함수의 변화 (Variation of activation functions for accelerating the learning speed of the multilayer neural network)

  • 이병도;이민호
    • 센서학회지
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    • 제8권1호
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    • pp.45-52
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    • 1999
  • 이 논문에서는 오차 역전파 학습 알고리듬의 학습 속도를 향상시키기 위한 새로운 학습 방법을 제안한다. 제안하고자 하는 방법은 시그모이드 형태를 갖는 신경회로망의 활성화 함수(activation function) 자체에 고차항(higher order)을 적절히 이용하여 초기 학습 단계에서 발생할 수 있는 조기 포화(premature saturation) 현상을 계산량의 큰 증가 없이 효과적으로 대처할 수 있다. 고차항을 이용함으로써 은닉층 활성화 함수의 도합수가 작은 값으로 감소함에 따라 신경망의 연결 강도를 학습시키는 학습율은 적응적으로 큰 값을 갖게 된다. 또한, 은닉층에 고차항을 이용하는 제안한 방법에 모멘텀(momentum) 학습 알고리듬을 결합하는 새로운 hybrid 학습 방법을 제안한다. 컴퓨터 모의 실험을 통해 제안하고자 하는 학습 방법과 기존의 방법들과의 학습 속도 성능을 비교한다.

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교육서비스 품질과 참여의도가 교육성과 향상에 미치는 연구: Action Learning 사례를 중심으로 (The effects of Educational Service Quality and Participation Intention on Educational Performance through a Case of Action Learning)

  • 이돈희
    • 품질경영학회지
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    • 제45권4호
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    • pp.847-866
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    • 2017
  • Purpose: The purpose of this study is to examine the effects of educational service quality, participation intention, and educational performance in action learning class. Methods: The proposed research model is tested using structural equation modeling for hypotheses based on the data collected from one of action learning class. Results: The results indicate that educational service quality(reliability, assurance, tangibles, empathy, information accuracy, and relationship quality) positively affects participation intention which in turn improve educational performance, including aspects of before and after class of action learning. In addition, participation intention in classroom positively affects educational performance with both groups. For after class of action learning, the result confirms the effect of responsiveness of educational service quality on participation intention, however, in before class of action learning there is not showed a significant relationship. Conclusion: This study would provide useful information and can be applied to the improvement of educational performance through the participation of students by the instructors and the educational institutes who want to apply the active learning forum in classroom.

플립러닝형 프로젝트 기반학습을 적용한 수업 설계: Digital Painting Tool 수업을 중심으로 (Class Design Applying Flipped Learning Combined with Project-Based Learning: Focusing on Digital Painting Tool for Class)

  • 성례아;공현희
    • Journal of Information Technology Applications and Management
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    • 제29권1호
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    • pp.29-45
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    • 2022
  • The Fourth Industrial Revolution era requires people to have the ability of integrated thinking, critics, sensitivity, and creativity in an integrated manner. Therefore, teaching methods are expected to become more suitable for the trend. In this belief, current teacher-leading education method should move to students' self motivating one and consist of programs in which students voluntarily involve. In this reason, this study suggests FPBL educational method model that is combines project-based learning with flipped learning by analysing preceding research and digital painting tool class was designed by applying it. As a result of applying the designed class model to the class, all of the class satisfaction, effectiveness, and interaction were evaluated positively. Problems such as limitations of project classes due to non-face-to-face classes, large amount of learning before class, and reduced concentration during class were found. Therefore, when the FPBL class model is conducted non-face-to-face, it will be necessary to further strengthen the role of the instructor, provide lecture videos summarizing the core contents, and improve concentration by providing active participation and fun using various digital tools. The result of the study looks significant by confirming the possibility of applying FPBL model not only in design education but also other educational settings.

Effect of Saenggitang on Learning and Memory Ability in Mice

  • Han Yun-Jeong;Chang Gyu-Tae;Kim Jang-Hyun
    • 대한한의학회지
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    • 제25권4호
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    • pp.51-60
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    • 2004
  • Objective : The effect Saenggitang (GT), which has been used for amnesia, in Oriental Medicine, on memory and learning ability, was investigated. Methods : Hot water extracts (HWE) of SGT were used for the studies. In passive avoidance performances (step through test), active avoidance performances (lever press test), Motor activity, pentobarbital-induced sleep, 20 and 50 mg/100g of SGT-HWE ameliorated the memory retrieval deficit induced by 40% ethanol. Results : The SGT-HWE did not affect the ambulatory activity of normal mice in normal condition. 20 and 50 mg/100g of SGT-HWE enhanced contextual fear memory, but not cued fear memory in a fear conditioning task, which requires the activation of the NMDA (N-methyl-D-aspartase) receptor. SGT-HWE did not affect the motor activity measured by the titling type ambulometer test performed immediately and 24 hr after the administration. SGT-HWE prolonged the sleeping time induced by 50 mg/kg pentobarbital in mice and decreased SMA (spontaneous motor activity) in active avoidance performances (lever press test). Conclusion : These results indicate that the SGT-HWE have an improving effect on the memory retrieval disability induced by ethanol and may act as a stimulating factor for activating the NMDA receptor. and the SGT-HWE has a tranquilizing and anti-anxiety action.

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누설 인덕턴스를 포함한 DAB 컨버터용 고주파 변압기의 머신러닝 활용한 최적 설계 (Machine-Learning Based Optimal Design of A Large-leakage High-frequency Transformer for DAB Converters)

  • 노은총;김길동;이승환
    • 전력전자학회논문지
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    • 제27권6호
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    • pp.507-514
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    • 2022
  • This study proposes an optimal design process for a high-frequency transformer that has a large leakage inductance for dual-active-bridge converters. Notably, conventional design processes have large errors in designing leakage transformers because mathematically modeling the leakage inductance of such transformers is difficult. In this work, the geometric parameters of a shell-type transformer are identified, and finite element analysis(FEA) simulation is performed to determine the magnetization inductance, leakage inductance, and copper loss of various shapes of shell-type transformers. Regression models for magnetization and leakage inductances and copper loss are established using the simulation results and the machine learning technique. In addition, to improve the regression models' performance, the regression models are tuned by adding featured parameters that consider the physical characteristics of the transformer. With the regression models, optimal high-frequency transformer designs and the Pareto front (in terms of volume and loss) are determined using NSGA-II. In the Pareto front, a desirable optimal design is selected and verified by FEA simulation and experimentation. The simulated and measured leakage inductances of the selected design match well, and this result shows the validity of the proposed design process.

부모자녀간 의사소통과 관계향상을 위한 교수.학습 과정안 개발 및 적용: 중학교 1학년 '가족구성원간의 의사소통' 단원을 중심으로 (Development of a Teaching and Learning Plan for a Communication Unit for Family Members and Its Effect on Teenagers' Functional Communications and Relational Satisfaction with Their Parents)

  • 주현정;조병은
    • 대한가정학회지
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    • 제48권8호
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    • pp.51-65
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    • 2010
  • This research explored the importance of conflict resolution in communication between adolescents and their parents. A teaching and learning plan on communication using the Active listening, I-message method and no-lose conflict resolution method was developed and applied to teaching the 'Communication among Family Members' unit in the middle school home economics and technology textbook. The experimental class of 203 students using the active listening, I message and no-lose conflict resolution method in communication was compared with a comparative class of 163 students using only the active listening and I message method, investigating the amounts of communication, conflicts, functional communication and degree of satisfaction the students perceived regarding relationships with their parents via pre and post tests. Both groups showed significant increases in their amounts of communication and functional communication. However, only the experimental class showed an increase in their degree of relationship satisfaction with their parents. Both groups evaluated the lesson positively.

능동적 학습을 위한 군집기반 초기훈련집합 선정 (Selection of An Initial Training Set for Active Learning Using Cluster-Based Sampling)

  • 강재호;류광렬;권혁철
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제31권7호
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    • pp.859-868
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    • 2004
  • 본 논문에서는 능동적 학습이 보다 적은 수의 훈련예제로도 높은 학습성능을 달성할 수 있도록 군집화기법을 이용하여 초기훈련집합을 선정하는 방안을 제안한다. 본 제안 방안은 유사한 예제들보다는 다양한 예제들로 그리고 특수한 예제들보다는 보편적인 예제들로 구성한 집합이 학습에 유리할 것이라는 가정을 바탕으로, 먼저 k-means 군집화 기법으로 예제들을 군집화한 후, 각 군집을 가장 잘 표현하는 대표예제로 개별 군집의 중심점과 가장 가까운 예제를 선정하여 초기훈련집합을 구성한다. 또한 개별 군집의 중심점을 가상의 예제로 가정하여, 이와 연관된 대표예제의 카테고리를 부여함으로써 추가의 훈련예제로 활용하는 방안을 함께 제안한다. 여러 문서 분류 문제를 대상으로 실험한 결과, 본 제안 방안으로 선정한 초기훈련집합에서 출발한 능동적 학습이 임의로 선정한 초기훈련집합에서 출발한 경우에 비해 보다 적은 수의 훈련예제로도 동등한 성능을 달성할 수 있음을 확인하였다.