• Title/Summary/Keyword: active-learning method

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The Effect of Water Environmental Program Focused on Problem-Based Learning for Elementary School Students on Pro-Environmental Behavior (문제 중심 학습의 물 환경교육 프로그램이 초등학생의 환경 친화적 행동에 미치는 영향)

  • Lee, Ji-Hyung;Lee, Sang-Won
    • Hwankyungkyoyuk
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    • v.22 no.2
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    • pp.23-42
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    • 2009
  • The purpose of this study is to investigate the influences of water environmental program using PBL on pro-environmental behavior for 4th graders in elementary school. The results of this study are as follows. First, the experimental group is more effective in promoting the pro-environmental attitude compared with the control group. Second, the experimental group is more effective in promoting the pro-environmental behavior compared with the control group. Third, the experimental group is not more effective in promoting the pro-environmental knowledge compared with the control group. Fourth, students are concerned and interested in the environment and environmental problems of the daily-life. And, they presented positive attitude and active participation toward environmental preservation. So, the process of PBL using water environmental program showed that it promotes active learning participation and various action. In conclusion, the environmental education program through PBL program has a positive effect on pro-environmental attitudes and behavior of elementary school students. It is demanded that more intensive research on this study should be done, linking with teaching and learning method, as a follow-up activity.

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Nurses' learning experiences from falling accidents on patient safety (환자안전에 관한 간호사의 경험학습: 낙상 사고를 중심으로)

  • Yoon, Seon-Hee;Kim, Kwang-Jum
    • Korea Journal of Hospital Management
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    • v.20 no.2
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    • pp.1-14
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    • 2015
  • Purpose : The aim of this article is to describe the nurses' experiential learning mechanism on patient safety. Methods : To analyze nurses' learning experiences on patient safety cases, a focus-group interview method was used. The Kolb's experiential learning model was used as a reference model. Findings : Without deep reflective reasoning about specific experiences, there is no creative or innovative solutions to experiment actively. Nurses are likely to be reluctant learners when there is no systemic support from formal departments which is in charge of patient safety and quality of care. Conclusion : In order to build patient safety culture in hospital, there should be efforts to make nurses as active learners on patient safety as well as to build learning environments in medical units.

Introduction of Team-Based Learning Based Building Construction Hybrid Curriculum (팀기반학습 기반 건축시공 하이브리드 교육과정 도입방안)

  • Kim, Jae-Yeob
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.05a
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    • pp.351-352
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    • 2023
  • In order to respond to changes in the industrial environment such as the 4th industrial revolution, university education also needs active educational innovation efforts. This study proposed a construction construction hybrid curriculum that can actively utilize online education in the direction of educational innovation in domestic universities. The hybrid curriculum was based on online learning through lecture videos used in team-based learning. The hybrid curriculum additionally allows learners to choose their learning methods. In a hybrid class, learners can choose the class participation method they want from offline classroom or online real-time. Hybrid classes are considered to strengthen learners' options and take a step forward in learner-centered education.

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A study on developments of learner-oriented e-Learning contents in convergence era (컨버전스 시대 학습자 중심의 e-Learning 컨텐츠 개발에 관한 연구)

  • Lee, Jong-Ki
    • Journal of Korea Society of Industrial Information Systems
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    • v.11 no.5
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    • pp.181-189
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    • 2006
  • The ubiquitous technology has requested many changes both to the way of learning and to the way of convergence learning content development. However, until now most of e-Learning contents can not meet the requirements of technology convergence and are not developed from the user's perspectives. In this paper, we focus a convergence learning model that is learner-oriented structure, active use of formal and informal learning. Furthermore, examine carefully importance about task analysis, storytelling, and feedback design strategy of learning management system for e-Learning content development. In this context, this paper suggests the effective e-Learning content development method in a convergence era.

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Design and Implementation of Web-based Instructional System by using Location based Service for Physical Education at Middle School (위치기반 서비스를 이용한 중학교 체육교과 웹기반학습 시스템의 설계 및 구현)

  • Kim, Se-Min;Ha, Tai-Hyun
    • Journal of Digital Convergence
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    • v.6 no.2
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    • pp.127-134
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    • 2008
  • The aim of this study is to show that using a Web-Based Instruction system is a better method to help counteract deficient teaching, learning conditions and facilities thus improving the students' interest, understanding, participation and skill development in Physical Education. The key findings of this study are as follows; The first advantage of using this system is that the theory of Softball is explained with the use of pictures rather than text, thus improving the students' understanding. The second is the method in which practical skills are explained and demonstrated. Action image sequences are used as opposed to the old method of using stationary pictures. This means that the learners can clearly see and understand why and, more importantly, how to use these skills. The third advantage is the technique used to teach the application of these skills. Using active rather than passive learning and thus engaging the student encourages improved participation and learning. The fourth advantage comes in evaluation: both subjective and objective questions are asked in theoretical evaluation, and the teachers can evaluate the students' understanding and skill development by filming their actual Softball games. The final advantage is the use of Self-Directed Learning to aid learners' development of understanding of the lesson content as interactions between teachers and learners are constructe

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Reliability-based combined high and low cycle fatigue analysis of turbine blade using adaptive least squares support vector machines

  • Ma, Juan;Yue, Peng;Du, Wenyi;Dai, Changping;Wriggers, Peter
    • Structural Engineering and Mechanics
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    • v.83 no.3
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    • pp.293-304
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    • 2022
  • In this work, a novel reliability approach for combined high and low cycle fatigue (CCF) estimation is developed by combining active learning strategy with least squares support vector machines (LS-SVM) (named as ALS-SVM) surrogate model to address the multi-resources uncertainties, including working loads, material properties and model itself. Initially, a new active learner function combining LS-SVM approach with Monte Carlo simulation (MCS) is presented to improve computational efficiency with fewer calls to the performance function. To consider the uncertainty of surrogate model at candidate sample points, the learning function employs k-fold cross validation method and introduces the predicted variance to sequentially select sampling. Following that, low cycle fatigue (LCF) loads and high cycle fatigue (HCF) loads are firstly estimated based on the training samples extracted from finite element (FE) simulations, and their simulated responses together with the sample points of model parameters in Coffin-Manson formula are selected as the MC samples to establish ALS-SVM model. In this analysis, the MC samples are substituted to predict the CCF reliability of turbine blades by using the built ALS-SVM model. Through the comparison of the two approaches, it is indicated that the reliability model by linear cumulative damage rule provides a non-conservative result compared with that by the proposed one. In addition, the results demonstrate that ALS-SVM is an effective analysis method holding high computational efficiency with small training samples to gain accurate fatigue reliability.

Learning Style and Self-directed Learning of Nursing Students at One University (일개 간호대학생의 학습유형과 자기주도적 학습)

  • Park, Jee-Won;Bang, Kyung-Sook
    • Perspectives in Nursing Science
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    • v.7 no.1
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    • pp.36-42
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    • 2010
  • Purpose: This study was done to identify the preferences for learning style and the degree of self-directed learning and influencing factors on it among nursing students working on a Bachelor of Science in a nursing program at Suwon. Methods: The study sample included 156 nursing students. A self-report questionnaire was used to assess the data. The data was analyzed using the SPSS/WIN program for descriptive and inferential statistics. Results: Most of the students preferred lectures rather than discussion or team projects as a teaching method. Students preferred deliberating, sensing, and the use of visuals for their learning style. In addition, they favored sequential learning over comprehensive learning. Self directed learning had better outcomes in 3rd and 4th year students than 1st or 2nd year students. Additionally, active learners and high achievers who had a good GPA showed higher self directed learning than the others. Conclusion: In order to maximize students' self-directed learning, study guidance will be necessary for freshmen and for some who experience difficulties in studying nursing courses. Nursing faculty members should pay close attention to facilitate student's self directed learning, and encourage more discussions in the classes.

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Reinforcement Learning based Inactive Region Padding Method (강화학습 기반 비활성 영역 패딩 기술)

  • Kim, Dongsin;Uddin, Kutub;Oh, Byung Tae
    • Journal of Broadcast Engineering
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    • v.26 no.5
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    • pp.599-607
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    • 2021
  • Inactive region means a region filled with invalid pixel values to represent a specific image. Generally, inactive regions are occurred when the non-rectangular formatted images are converted to the rectangular shaped image, especially when 3D images are represented in 2D format. Because these inactive regions highly degrade the compression efficiency, filtering approaches are often applied to the boundaries between active and inactive regions. However, the image characteristics are not carefully considered during filtering. In the proposed method, inactive regions are padded through reinforcement learning that can consider the compression process and the image characteristics. Experimental results show that the proposed method performs an average of 3.4% better than the conventional padding method.

Perspectives of Nurse Students on Problem-Based Learning - Learning Experience in Pediatric Nursing - (문제중심 학습방법 경험에 대한 간호학생의 인식유형 - 아동간호학 학습경험을 중심으로 -)

  • Baek, Kyoung-Seon
    • Child Health Nursing Research
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    • v.15 no.1
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    • pp.15-23
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    • 2009
  • Purpose: This research was done to provide fundamental data to improve learning methods in Pediatric nursing and meet the needs of the students in actual nursing by analyzing nurse student experiences with problem-based learning in Pediatric nursing. Method: Using the 31 Q-samples selected, 20 nursing students from J college were selected as p-samples. The students were personally interviewed in January or February 2008. Result: The result of the study showed 3 types. The first type was the "negative resister", who failed to adapt to the problem-based learning and resists negatively. The second type was the "active receiver", who participated in the process of the problem-based learning and received it actively. The third type was the "passive accepters", who accepted problem-based learning but worried because they were familiar only with traditional learning. Conclusions: In this study, problem-based learning was used for classes in the science of pediatric nursing. The findings indicate that preparation for learning and details should be considered when developing and using modules for pediatric nursing. Further study on the development of problem-based learning modules is also indicated.

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DYNAMIC ROUTE PLANNING BY Q-LEARNING -Cellular Automation Based Simulator and Control

  • Sano, Masaki;Jung, Si
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.24.2-24
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    • 2001
  • In this paper, the authors present a row dynamic route planning by Q-learning. The proposed algorithm is executed in a cellular automation based traffic simulator, which is also newly created. In Vehicle Information and Communication System(VICS), which is an active field of Intelligent Transport System(ITS), information of traffic congestion is sent to each vehicle at real time. However, a centralized navigation system is not realistic to guide millions of vehicles in a megalopolis. Autonomous distributed systems should be more flexible and scalable, and also have a chance to focus on each vehicles demand. In such systems, each vehicle can search an own optimal route. We employ Q-learning of the reinforcement learning method to search an optimal or sub-optimal route, in which route drivers can avoid traffic congestions. We find some applications of the reinforcement learning in the "static" environment, but there are ...

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