• Title/Summary/Keyword: learning cycle

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A Learning Progression for Water Cycle from Fourth to Sixth Graders with Ordered Multiple-Choice Items (순위 정렬 선다형 평가 문항을 적용한 초등학교 4~6학년 학생들의 물의 순환에 대한 학습 발달 과정)

  • Seong, Yeonseon;Maeng, Seungho;Jang, Shinho
    • Journal of Korean Elementary Science Education
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    • v.32 no.2
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    • pp.139-158
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    • 2013
  • This study investigated elementary students' (grade 4~6) learning progressions for water cycling drawn from iterative assessments using ordered multiple-choice (OMC) items. An assessment system, which consisted of construct map, item design, outcome space, and measurement model, was employed in this study to examine children's learning progressions. At the first stage of the assessment system, a construct map was designed on which children's conceptual understandings from naive to most sophisticated were represented. At the item design stage, 8 OMC items were drawn from the construct map. Each item option of the OMC items was scored from 0 to 3 according to its level of understanding at the stage of outcome space. As a measurement model, Rasch model, a branch of item response theory, was applied to interpreting the outcomes of the OMC items. This cycle of assessment system was furtherly implemented iteratively in order to elaborate on the first version of water cycling learning progression. In conclusion, children's understanding of water cycling could be described in two aspects: water distribution and water movement. We identified children's conjectural developmental pathways about water cycling existed from superficial and naive accounts to more complex and abstract accounts.

The Effect of 4M Learning Cycle Teaching Model based on the Integrated Mental Model Theory: Focusing on Learning Circular Motion of High School Students (통합적 정신모형 이론에 기반한 4M 순환학습 수업모형의 효과: 고등학생의 원운동 관련 기초 개념과 정신모형의 발달 측면에서)

  • Park, Ji-Yeon;Lee, Gyoung-Ho
    • Journal of The Korean Association For Science Education
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    • v.28 no.4
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    • pp.302-315
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    • 2008
  • Circular motion has been one of the most difficult concepts for students to understand. To facilitate for students to form scientific mental models about circular motion, this study developed 4M learning cycle teaching model based on the integrated mental model theory and strategies. For this study, fifty-three eleventh graders at a technical high school in Inchon were taught for 3 class hours. We conducted tests of basic physics concept and mental model of circular motion before, after, and two months after instruction. In results, we found that there were statistically significant improvement in the test of basic physics concept and mental model related with circular motion after instruction. Especially, this teaching model affected learning effectiveness of Correctness and Coherence of mental model.

Control for crane's swing using fuzzy learning method (퍼지 학습법을 이용한 crane의 과도 진동 제어)

  • 임윤규;정병묵
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.450-453
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    • 1997
  • An active control for the swing of crane systems is very important for increasing the productivity. This article introduces the control for the position and the swing of a crane using the fuzzy learning method. Because the crane is a multi-variable system, learning is done to control both position and swing of the crane. Also the fuzzy control rules are separately acquired with the loading and unloading situation of the crane for more accurate control. The result of simulations shows that the crane is just controlled for a very large swing angle of 1 radian within nearly one cycle.

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Effect of Cooperative Learning on Conceptual Change of Atmospheric and Water Cycle (대기와 물의 순환 개념변화에 대한 협동학습의 효과)

  • Jeong, Jin-Woo;Jang, Myoung-Duk;Chun, Seon-Lye
    • Journal of the Korean earth science society
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    • v.25 no.2
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    • pp.63-73
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    • 2004
  • This study investigated the effect of cooperative learning on the middle school students’ conceptual change of atmospheric and water cycle and also examined the verbal interaction patterns in a cooperative group. The study also analyzed the relationship between the verbal interaction and students’ conceptual change in the cooperative learning situation. Two classes from a middle school were selected as an experimental group (cooperative learning group, n = 37) and a control group (traditional learning group, n = 37), respectively. The experimental group was taught by STAD cooperative learning model and received collaborative skill training. The results of the study can be summarized as follows: first, there were no significant differences in conceptual change between the two groups. As for the middle-achieving students on the pretest, however, the score of the cooperative learning group was significantly higher than that of the traditional learning group. Secondly, verbal interaction in the cooperative learning situation mainly happened among high- and middle achieving students. In addition, the students who were successful in undergoing conceptual change had more frequent verbal interactions than the students who were not. The study suggests that it is more important to interact between a teacher and students than to interact between the students and students in order to correct students’ misconception.

Improving a newly adapted teaching and learning approach: Collaborative Learning Cases using an action research

  • Lee, Shuh Shing;Hooi, Shing Chuan;Pan, Terry;Fong, Chong Hui Ann;Samarasekera, Dujeepa D.
    • Korean journal of medical education
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    • v.30 no.4
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    • pp.295-308
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    • 2018
  • Purpose: Although medical curricula are now better structured for integration of biomedical sciences and clinical training, most teaching and learning activities still follow the older teacher-centric discipline-specific formats. A newer pedagogical approach, known as Collaborative Learning Cases (CLCs), was adopted in the medical school to facilitate integration and collaborative learning. Before incorporating CLCs into the curriculum of year 1 students, two pilot runs using the action research method was carried out to improve the design of CLCs. Methods: We employed the four-phase Kemmis and McTaggart's action research spiral in two cycles to improve the design of CLCs. A class of 300 first-year medical students (for both cycles), 11 tutors (first cycle), and 16 tutors (second cycle) were involved in this research. Data was collected using the 5-points Likert scale survey, open-ended questionnaire, and observation. Results: From the data collected, we learned that more effort was required to train the tutors to understand the principles of CLCs and their role in the CLCs sessions. Although action research enables the faculty to improve the design of CLCs, finding the right technology tools to support collaboration and enhance learning during the CLCs remains a challenge. Conclusion: The two cycles of action research was effective in helping us design a better learning environment during the CLCs by clarifying tutors' roles, improving group and time management, and meaningful use of technology.

Application of Experiential Learning Theory to Medical Education (경험학습이론의 의학교육에의 적용)

  • Chae, Sujin
    • Korean Medical Education Review
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    • v.22 no.2
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    • pp.93-98
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    • 2020
  • This paper examined the principles of experiential learning theory (ELT) relevant to learning from experience and introduces examples which were applied to medical education from a theoretical perspective. The experiential learning theory encompasses the theories of Dewey, Kolb, and Schon, whose key ideas highlight the continuity of experience, interaction of experience, and reflection. According to ELT, growth is education, and education is a reconstruction of experience. Experiential learning is a way of thinking about the educational process by constructing meaningful learning through reflection-in-action. This paper examines the learning principles of ELT and presents practical examples of the application of ELT and its implications for medical education. An in-depth understanding and application of ELT could benefit the field of medical education.

e-Learning Quality Assurance System in Corporate Education (기업 e-Learning 품질 보증 관리 개선 방안 연구)

  • Rha, Hyeon-Mi;Rhew, Sung-Yul;Kim, Jong-Bae
    • Journal of Information Technology Services
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    • v.6 no.3
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    • pp.111-128
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    • 2007
  • The purpose of the research is to analyze the status and problems of the e-Learning quality assurance system on e-Learning contents and service provider(institutes) in the field of enterprise education. In addition, the research is to suggest the direction and strategies for revising and developing the system. The research put emphasis on two systems of the e-Learning quality assurance(contents, service provider) which directly influence financial support of government. This study depended mostly on literature review, supplemented by expert panel meetings. In the case of the quality assurance system on e-Learning contents, the followings are suggested; (1)admitting the contents made of the combination of modules in the approved module set, (2)making easier the qualifying of modified contents for maintenance, (3)revising evaluation criteria, (4)providing substantial feedback. In the field of service provider, the followings are requested; (1)differentiating of qualifying system by industry and scale of company, (2)extending the qualifying cycle, (3)improving the feedback and sharing system.

A Predictive Model of the Generator Output Based on the Learning of Performance Data in Power Plant (발전플랜트 성능데이터 학습에 의한 발전기 출력 추정 모델)

  • Yang, HacJin;Kim, Seong Kun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.12
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    • pp.8753-8759
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    • 2015
  • Establishment of analysis procedures and validated performance measurements for generator output is required to maintain stable management of generator output in turbine power generation cycle. We developed turbine expansion model and measurement validation model for the performance calculation of generator using turbine output based on ASME (American Society of Mechanical Engineers) PTC (Performance Test Code). We also developed verification model for uncertain measurement data related to the turbine and generator output. Although the model in previous researches was developed using artificial neural network and kernel regression, the verification model in this paper was based on algorithms through Support Vector Machine (SVM) model to overcome the problems of unmeasured data. The selection procedures of related variables and data window for verification learning was also developed. The model reveals suitability in the estimation procss as the learning error was in the range of about 1%. The learning model can provide validated estimations for corrective performance analysis of turbine cycle output using the predictions of measurement data loss.

An Experiment on Image Restoration Applying the Cycle Generative Adversarial Network to Partial Occlusion Kompsat-3A Image

  • Won, Taeyeon;Eo, Yang Dam
    • Korean Journal of Remote Sensing
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    • v.38 no.1
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    • pp.33-43
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    • 2022
  • This study presents a method to restore an optical satellite image with distortion and occlusion due to fog, haze, and clouds to one that minimizes degradation factors by referring to the same type of peripheral image. Specifically, the time and cost of re-photographing were reduced by partially occluding a region. To maintain the original image's pixel value as much as possible and to maintain restored and unrestored area continuity, a simulation restoration technique modified with the Cycle Generative Adversarial Network (CycleGAN) method was developed. The accuracy of the simulated image was analyzed by comparing CycleGAN and histogram matching, as well as the pixel value distribution, with the original image. The results show that for Site 1 (out of three sites), the root mean square error and R2 of CycleGAN were 169.36 and 0.9917, respectively, showing lower errors than those for histogram matching (170.43 and 0.9896, respectively). Further, comparison of the mean and standard deviation values of images simulated by CycleGAN and histogram matching with the ground truth pixel values confirmed the CycleGAN methodology as being closer to the ground truth value. Even for the histogram distribution of the simulated images, CycleGAN was closer to the ground truth than histogram matching.

Speech Recognition and Its Learning by Neural Networks (신경회로망을 이용한 음성인식과 그 학습)

  • 이권현
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.16 no.4
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    • pp.350-357
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    • 1991
  • A speech recognition system based on a neural network, which can be used for telephon number services was tested. Because in Korea two different cardinal number systems, a koreanic one and a sinokoreanic one, are in use, it is necessary that the used systems is able to recognize 22 discret words. The structure of the neural network used had two layers, also a structure with 3 layers, one hidden layreformed of each 11, 22 and 44 hidden units was tested. During the learning phase of the system the so called BP-algorithm (back propagation) was applied. The process of learning can e influenced by using a different learning factor and also by the method of learning(for instance random or cycle). The optimal rate of speaker independent recognition by using a 2 layer neural network was 96%. A drop of recognition was observed by overtraining. This phenomen appeared more clearly if a 3 layer neural network was used. These phenomens are described in this paper in more detail. Especially the influence of the construction of the neural network and the several states during the learning phase are examined.

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