• Title/Summary/Keyword: 학습조절자

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Rotor Resistance Estimation of Induction Motor by ANN (ANN에 의한 유도전동기의 회전자 저항 추정)

  • Ko, Jae-Sub;Choi, Jung-Sik;Chung, Dong-Hwa
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.20 no.10
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    • pp.27-34
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    • 2006
  • This paper proposes a new method of on-line estimation for rotor resistance of the induction motor in the indirect vector controlled drive, using artificial neural network (ANN). The back propagation algorithm is used for training of the neural networks. The error between the desired state variable of an induction motor and actual state variable of a neural network model is back propagated to adjust the weight of a neural network model, so that the actual state variable tracks the desired value. The performance of rotor resistance estimator and torque and flux responses of drive, together with these estimators, are investigated variations rotor resistance from their nominal values. The rotor resistance are estimated analytically, using the proposed ANN in a vector controlled induction motor drive.

A Study on the Factors Affecting Smart Learning -Focusing on the Moderating Effect of Learning Time- (스마트러닝의 영향요인에 관한 연구 - 학습시점의 조절효과를 중심으로 -)

  • Shin, Ho-Kyun;Kim, Young-Ae
    • Journal of Korea Society of Industrial Information Systems
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    • v.16 no.5
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    • pp.93-105
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    • 2011
  • This study was performed to figure out the effects of perceived usefulness and ease of use in Technology Acceptance Model(TAM) affecting acceptance attitude and intention to use in smart learning. In addition, the study recognized the need for differentiation of learning time by analyzing the difference of effects influencing acceptance attitude of perceived usefulness and ease of use during learning time, which is at the beginning, midterm, and at the end of the term. As the results of the study, it showed that there were differences between the factors, the learning time of which was considered, affecting acceptance attitude and intention to use. Furthermore, in order to improve the effectiveness of building a smart campus, which is currently under the construction, the study argued that universities need to consider the learning relevance and subjective norm as important factors in perceived usefulness of smart learning. Finally, the need for the design of various smart learning types became accepted considering learning time.

Students' variables and educational achievement in English (학습자 배경변인과 국가수준 영어 학업성취도)

  • Chang, Kyung-Suk;Lee, Eui-Kap;Kim, Mi-Kyung
    • English Language & Literature Teaching
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    • v.13 no.3
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    • pp.253-273
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    • 2007
  • This study explores issues on how students' variables are related to their educational achievement in English subject. The National Assessment of Educational Achievement (NAEA) is conduced every year to measure educational progress and achievement, and to monitor the quality of education at the national level and appropriateness of the national curriculum. It also serves the purpose to collect background information affecting educational achievement. The background information is gathered by using questionnaires for students, teachers and school administrators. Among the student variables in the national level educational achievement assessment is self-regulated learning, which is composed of self-efficacy, self-control and learning strategy. In the NAEA in 2005 it was found that the features of self-regulated learning were significantly correlated to test scores in English. The findings from the analysis of the trends of the relationships between test scores in English and information on students' self-regulated learning provide implications for the national curriculum as well as for learning and teaching.

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An Option Hedge Strategy Using Machine Learning and Dynamic Delta Hedging (기계학습과 동적델타헤징을 이용한 옵션 헤지 전략)

  • Ru, Jae-Pil;Shin, Hyun-Joon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.2
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    • pp.712-717
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    • 2011
  • Option issuers generally utilize Dynamic Delta Hedging(DDH) technique to avoid the risk resulting from continuously changing option value. DDH duplicates payoff of option position by adjusting hedge position according to the delta value from Black-Scholes(BS) model in order to maintain risk neutral state. DDH, however, is not able to guarantee optimal hedging performance because of the weaknesses caused by impractical assumptions inherent in BS model. Therefore, this study presents a methodology for dynamic option hedge using artificial neural network(ANN) to enhance hedging performance and show the superiority of the proposed method using various computational experiments.

Active Spinning Training System using Complex Physiological Signals (복합 생체신호를 이용한 능동형 스피닝 트레이닝 시스템)

  • Kim, Cheol-Min;Kang, Gyeong-Heon;Kim, Eun-Seok
    • The Journal of the Korea Contents Association
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    • v.15 no.7
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    • pp.591-600
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    • 2015
  • Recently high interest in health and fitness has led to vibrant researches for the active fitness system to learn and enjoy the exercise program for oneself. In this paper, we design and implement the active spinning training system which enables user to have self-learning and experience of customized spinning training program by the biometric and movement information acquired from user's physiological signals. The proposed system provides the appropriate difficulty of spinning program which reflects the concordance rate of spinning dance gestures and the amount of exercising by analyzing the physical status of participant from his brain and pulse waves and recognizing the skeletal movement in real time. For the higher exercise effect, the system offers a virtual personal trainer to show the correct poses and controls the level of difficulty depending on the concordance rate of participant's motions. The experiment with various participants through the proposed system shows that it is able to help users in getting the available exercise effect in comparatively short time.

Development of Technology·Home Economics teaching-learning plans using ARCS strategies to improve character for middle school students: Focusing on the unit of 'Understanding families' (인성교육을 위해 기술·가정교과 '가족의 이해' 단원에 ARCS 동기유발 전략을 적용한 교수·학습 과정안 개발 및 평가)

  • Kang, Jimin;Yu, Nan Sook
    • Journal of Korean Home Economics Education Association
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    • v.30 no.1
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    • pp.29-42
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    • 2018
  • The purposes of this study were to develop and apply teaching-learning plans using ARCS strategies to improve character of middle school students and analyze whether a home economics class helps to give positive effects on youth character change. Nine-period classes were conducted for 110 male students in 4 classes of M middle school in Gwangju metropolitan city for 5 weeks from March 6 through April 7 in 2017. The effectiveness of classes were examined with learners' class assessment and pre- and post- character index test. The research steps and results in this study are as follows. First, the teaching-learning plans for 9 periods were developed for the character education class of the chapter 'Understanding families'. These teaching and learning course plans were designed to enhance learner's interests in learning using ARCS motivational strategy and improve character of middle school students in consideration of character elements. In the chapter 'Understanding families' of Technology Home Economics in middle school, the teaching-learning plans for 9 periods, 14 student activity sheets, and 2 powerpoint materials for teaching and learning were developed. Second, students who had the character education classes using ARCS motivational strategy showed significant differences in all character elements. Therefore, the character education class using ARCS shows positive effects to build up character of middle school students. Third, the character education classes using ARCS motivational strategy increased the class satisfaction of learners. The character education class teaching and learning course plans and learning materials in Technology Home Economics using ARCS motivational strategy will be used as a basic resource to build up students' character in the future.

Development of Hybrid Career Coaching Model and Effect Analysis (하이브리드 진로코칭 모형 개발 및 효과분석)

  • Go, Eun-Hyeon;Park, Hye-Rim;Kim, Do-Hyeon
    • The Journal of Korean Association of Computer Education
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    • v.18 no.6
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    • pp.43-51
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    • 2015
  • In this paper, we develops the hybrid career coaching model combined the face to face and the E-coaching, and applies students of childhood education for career guidance. The presented hybrid career coaching manages a profile and state information and a remote access between the coach and coachee on Internet. Then, online part of hybrid coaching deals with saving the data, and understand of the situation of the coachee if it is necessary. And face to face part of hybrid coaching have a conversation, the checking, counsel and introspection if the coach needs. Presented hybrid career coaching model has th procedure of 6 steps such like career coaching guidance, self-understanding, career decision-making, establishment of the career execution planning, execution plan and action will inspection and execution result inspection. Proposed hybrid career coaching is possible to understand coachee's current state on the career map, realize the importance of the execution strategy and maximize the efficiency and effectiveness self-regulation capacity.

Development of A Parent Education Program to Improve Anger Control Ability of Parents of Elementary School Children (초등학생 부모의 분노조절능력 향상을 위한 부모교육 프로그램 개발)

  • Lee, Jae-Taek
    • The Journal of the Korea Contents Association
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    • v.16 no.5
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    • pp.668-685
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    • 2016
  • When the parents are unable to control anger properly, it can have a negative effect on their children. Therefore, parents need anger control ability very much. The purpose of this study is to develop a parent education program to improve anger control ability of parents of elementary school children so that it could help them to perform their parental role. The development of the program followed the procedure of analysis, design, development, execution, and assesment. In the analysis stage, previous studies were examined to explore in depth the ways to improve anger control ability. In the design stage, the goals were confirmed and learning objective for each session was defined, and according to this, the contents of education were selected. In the development stage, 8 sessions of education activities were formulated with 2 hours for each session and experts were consulted to examine the validity of the contents. In the execution stage, the operating method was proposed and the program was applied with a total of 8 sessions, 1 session for a week. In the final assessment stage, the effect of the program was assessed. Assessment of the program was carried out by both quantitative and qualitative methods. The quantitative method was verified by pre-and-post comparison, and analyzed by Wilcoxon Signed Ranks Test. For the qualitative method, questionnaire and interview were used. After the program was implemented, the pre-and-post comparison was carried out. The result shows there was significant improvement in both anger control ability of parents and parenting efficacy. Also, participants reported the program was very helpful for increasing parenting skills in many aspects. Lastly, the researcher of this study proposed the direction for further development of the program.

Eye Tracking Analysis for High School Students' Learning Styles in the Process of Solving on Earth Science I (지구과학 I 문제 해결 과정에서 나타난 학습유형에 따른 고등학생의 시선 추적 분석)

  • An, Young-Kyun;Kim, Hyoungbum
    • Journal of the Korean Society of Earth Science Education
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    • v.10 no.1
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    • pp.50-61
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    • 2017
  • The purpose of this study is to analysis eye tracking for high school students' learning styles in the process of solving in the behavioral domains of the College Scholastic Ability Test on Earth Science I. The subjects of this study were 50 students from two classes out of 4 classes in E high school in Chungcheong province. Among them, we conducted experiments by randomly sampling 2 students of each type of learning based on the criteria that they had not encountered the problem of Earth Science I from the past two years. The findings indicate that the item correctness rate of divergers, assimilators, convergers, and accommodators were higher in the knowledge domain, application domain, knowledge-understanding domain, and understanding domain. This confirms that there is a difference among the four learning styles in the level of achievement according to the behavioral areas of the assessment questions. The latter finding was that the high eye-share of AOI 2 appeared higher than AOI 1, 3, 4 in the course of solving the problems. This is because the four types of learners pay more careful attention to the AOI 2 area, which is the cue-or-information area of problem solving, that is, the Table, Figure, and Graph area. Therefore, in order to secure the fairness and objectivity of the selection, it is necessary that an equal number of questions of each behavioral domain be selected on the Earth Science I Test of the College Scholastic Ability Test in general. Besides, it seems to be necessary that the knowledge, understanding, application, and the behavior area of the inquiry be highly correlated with the AOI 2 area in development of test questions.

An Exploratory study on derivation and Improvement of Kano Quality Attributes in Untact Classes (비대면 수업의 Kano 품질속성 도출과 개선에 관한 탐색적 연구)

  • Daeho Byun;Jaehoon Yang
    • Journal of Service Research and Studies
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    • v.12 no.2
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    • pp.65-79
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    • 2022
  • Non-face-to-face classes continue due to Covid-19. There have been e-learning classes since the past, but the difference is that the current non-face-to-face classes are blended classes that combine real-time and recording classes or combine face-to-face and non-face classes. It is also characterized by being able to self-filmed or choose various lecture platforms in a place other than a dedicated studio. The advantages of non-face-to-face classes can be learned beyond time and space, and repetitive viewing and learning speed can be adjusted. Greening classes have no time and place constraints, and real-time classes have the advantage of high communication effects with learners. Evaluating whether non-face-to-face classes provide sufficient quality compared to face-to-face classes or e-learning will be necessary if branded classes are considered for post Covid. In this paper, for the evaluation of the service quality of non-face-to-face classes, the essential attributes desired by the instructors were derived from the viewpoint of Kano quality attributes and a quality improvement plan was proposed. After expressing the degree of functions that non-face-to-face classes should have on the X-axis and the satisfaction of learners on the Y-axis, 23 quality attributes were classified into 6 quality dimensions. In addition, satisfaction coefficient, dissatisfaction coefficient, and customer satisfaction improvement index were derived. As a result, 50% of learners were satisfied with non-face-to-face classes, but the preference was slightly higher than satisfaction, suggesting the sustainability of non-face-to-face classes. In terms of the customer satisfaction improvement index, the ranking of attributes with the largest increase in satisfaction when improving class quality was as follows. Professors' quick answers to learners' questions, content that can fully explain the subject, what the professor explains easily, develop high-quality content that can be learned on mobile phones, fairness of attendance checks, and real-time classes should start on time.