• Title/Summary/Keyword: 혼합형 학습

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Study on extending IMS Learning Design (IMS 학습설계(Learning Design) 표준 확장에 관한 연구)

  • Roh, Jin-Hong;Park, Yau-Won
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06b
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    • pp.269-271
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    • 2011
  • 이러닝은 기능적인 요소기술의 구현에 초점을 두었던 단계를 지나 학습자의 학습 능력과 취향, 선호도 및 학습습관을 고려하며 사용자의 편의와 학습의 품질을 근본적이고 획기적으로 개선하기 위한 유러닝으로 발전하고 있다. 이와 함께 IMS 학습설계는 병렬세션관리, 협동학습과 혼합학습 지원 측면에서 그 동안 국내외에서 개별학습을 지원하는 표준안으로 활용되어온 ADL의 SCORM 국제표준이 갖는 한계 문제점을 해결할 수 있는 대안으로서 등장하였다. 하지만 제정된 이후로 개정이 되지 않아 유러닝을 지원하기 위해서는 개선이 요구되고 있다. 이를 위해 본 논문에서는 지식서비스 USN 산업원천 기술개발 과제의 세부과제인 'U-러닝 환경 표준 및 표준 명세 개발 및 검증' 과제에서 맞춤형 학습을 지원하고 사용자 편의를 제공할 수 있도록 확장된 학습설계 표준에 대하여 소개한다.

Development of Practical Problem-Based Home Economics Teaching.Learning Process Plans by Blended Learning Strategy - Focusing on a Unit 'the Youth and Consumer Life' - (Blended Learning(BL) 전략을 활용한 실천적 문제 중심 가정과 교수 학습 과정안 개발 - '청소년과 소비생활' 단원을 중심으로 -)

  • Lee, Jin-Hee;Chae, Jung-Hyun
    • Journal of Korean Home Economics Education Association
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    • v.20 no.4
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    • pp.19-42
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    • 2008
  • The purpose of this study was to develop practical problem-based home economics teaching.learning process plans about a unit 'the youth and consumer life' of middle school eighth-grade Technology and Home Economics by applying blended learning(BL) strategy. According to ADDIE instructional design model, this study was conducted in the following procedure: analysis, design/development, implementation, and evaluation. In the stage of design and development, the selected unit was converted into a practical problem-based unit, and practical problem-based teaching. learning process plans were designed in detail by using BL strategy. An online study room for practical problem-based home economics instruction grounded in BL strategy was prepared by using Edunet(http://community.edunet4u.net/${\sim}$consumer2). Eight-session lesson plans were mapped out, and study aids for students and materials for teachers were prepared. In the implementation stage, the first-session teaching plans that dealt with a minor question 'what preparations should be made to become a wise consumer' were utilized when instruction was provided to 115 eighth graders who were in three different province, and the other one was in a middle school in the city of Daejeon. The experimental teaching was implemented for two weeks in the following procedure: preliminary program, pre-online learning, main instruction and post- online learning. The preliminary program was carried out in a session in the classroom, and pre-online learning was provided before the main instruction was given in a session in the classroom. After the main instruction was completed, post-online learning was offered. In the evaluation stage, a survey was conducted on all the learners and teachers to find out their opinions and suggestions.

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A Hybrid Genetic Algorithm for the Identical Parallel Machine Total Tardiness Problem (동종 병렬기계에서 납기지연 최소화를 위한 혼합형 유전 알고리즘의 개발)

  • Choe, Hong-Jin;Lee, Jong-Yeong;Park, Mun-Won
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2004.05a
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    • pp.624-627
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    • 2004
  • 본 연구는 동일한 병렬기계에서의 총 납기지연의 합을 최소화하는 일정계획 문제에 대해 다룬다. 이 문제는 Lenstra et al. (1977)에 의해 NP-hard로 알려져 있으며, 작업의 수와 기계의 수가 큰 현실적 문제에 대해 적절한 시간 내에 최적해를 찾는다는 것은 사실상 불가능하다. 따라서 본 연구에서는 이 문제를 해결하기 위하여 혼합형 유전 알고리즘(hybrid genetic algorithm)을 제안한다. 혼합형 유전 알고리즘에서는 임의로 발생시킨 모집단에 대해 먼저 유전 알고리즘(genetic algorithm)이 세대를 진행하며 해를 개선한다. 유전 알고리즘이 일정기간동안 더 이상 해를 개선하지 못하면, 부분탐색 알고리즘(local-search algorithm))이 유전 알고리즘의 모집단의 개체들에 대해 해의 개선을 시도한다. 즉, 부분 탐색 알고리즘은 모집단 속의 각각의 개체를 초기해로 하여 모집단 내의 개체 수만큼의 부분 최적해(local optimum)들을 구한다. 이렇게 구한 부분 최적해들로 새로운 모집단을 구성하면 다시 유전 알고리즘이 진행된다. 이 과정을 종료조건에 이를 때까지 번갈아가며 반복 수행한다. 본 연구에서 제안한 유전 알고리즘에서는 Bean(1994)이 제안한 Random key 방법으로 개체를 표현하였으며 Park(2000)이 제안한 3가지 교차 연산자들을 채용하였다. 부분탐색 알고리즘을 위해서는 쌍대교환(pair-wise interchange) 방법을 통해 이웃해를 생성하였다. 선행실험을 통하여 제안한 혼합형 유전알고리즘에서 사용하는 다양한 모수(parameter)값들을 최적화하였으며 알고리즘의 성능을 비교하기 위하여 기존의 알고리즘과도 비교실험을 수행하였다.복적인 지표가 채택되는 경우를 포함하고 있다. 셋째는 추상적이며 측정이 어려운 지표를 채택하고 있는 경우이다. 여기에는 지표에 대한 정확한 정의가 이루어져 있지 않아 피 평가자가 불필요하거나 과다한 평가 자료를 준비해야 하거나 평가자로 하여금 평가 시 혼돈을 유발할 가능성이 있거나, 또는 상위개념의 평가항목과 하위개념의 평가항목이 혼재되어 구분이 모호한 경우를 포함하고 있다. 바탕으로 '생태적 합리성'이라는 체계적인 지식교육을 거쳐서, '환경정의' 의식의 제고로 이어가고, 굵직한 '환경갈등'의 상황에서 뚜렷한 정치적 태도와 실천을 할 수 있는 '생태적 인간상'의 육성으로 나아갈 수 있어야 한다는 것이 필자의 생각이다. 이를 위해서는 어찌되었건 체험학습 영역에서는 환경현안에 대한 사회적 실천을 '교육 소재'로 삼을 수 있어야 하며, 교과학습 영역에서는 한국사회의 환경현안에 대한 정치경제적 접근을 외면하지 말고 교과서 저작의 소재로 삼을 수 있어야 하며, 이는 '환경관리주의'와 '녹색소비'에 머물러 있는 '환경 지식교육'과 실천을 한단계 진전시키는 작업으로 이어질 것이다. 이후 10년의 환경교육은 바로 '생태적 합리성'과 '환경정의'라는 두 '화두'에 터하여 세워져야 한다.배액에서 약해를 보였으나, 25% 야자지방산의 경우 50 ${\sim}$ 100배액 어디에서도 액해를 보이지 않았다. 별도로 적용한 시험에서, 토마토의 경우에도 25% 야자지방산 비누 50 ${\sim}$ 100배액 모두 약해를 발생하지 않았으나, 오이에서는 25% 야자지방산 비누 100배액에도 약해를 나타내었다. 12. 이상의 결과, 천연지방산을 이용하여 유기농업에 허용되는 각종의 살충비누를 제조할 수 있었으

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A Model of Four Seasons Mixed Heat Demand Prediction Neural Network for Improving Forecast Rate (예측율 제고를 위한 사계절 혼합형 열수요 예측 신경망 모델)

  • Choi, Seungho;Lee, Jaebok;Kim, Wonho;Hong, Junhee
    • Journal of Energy Engineering
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    • v.28 no.4
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    • pp.82-93
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    • 2019
  • In this study, a new model is proposed to improve the problem of the decline of predict rate of heat demand on a particular date, such as a public holiday for the conventional heat demand forecasting system. The proposed model was the Four Season Mixed Heat Demand Prediction Neural Network Model, which showed an increase in the forecast rate of heat demand, especially for each type of forecast date (weekday/weekend/holiday). The proposed model was selected through the following process. A model with an even error for each type of forecast date in a particular season is selected to form the entire forecast model. To avoid shortening learning time and excessive learning, after each of the four different models that were structurally simplified were learning and a model that showed optimal prediction error was selected through various combinations. The output of the model is the hourly 24-hour heat demand at the forecast date and the total is the daily total heat demand. These forecasts enable efficient heat supply planning and allow the selection and utilization of output values according to their purpose. For daily heat demand forecasts for the proposed model, the overall MAPE improved from 5.3~6.1% for individual models to 5.2% and the forecast for holiday heat demand greatly improved from 4.9~7.9% to 2.9%. The data in this study utilized 34 months of heat demand data from a specific apartment complex provided by the Korea District Heating Corp. (January 2015 to October 2017).

Development of interactive children's museum contents for online-offline experience and research on satisfaction level (온·오프라인 연계 체험형 어린이 박물관 콘텐츠 개발 및 만족도 조사 연구)

  • LEE, JI-EUN;LEE, SANG-WON
    • Journal of Digital Convergence
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    • v.19 no.9
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    • pp.59-65
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    • 2021
  • This study intends to find a positive effect on the learning of elementary school students by developing the exhibition contents of on-offline museum. This on-offline museum contents were combined with existing exhibit types and direct experience elements, and the theory of [blended learning]. Through this study, analyzing the limitations of existing online museum and finding with experiment to see if the new contents had a learning effect compared to the existing online museum. As a result of the experimental study, the content with a [direct experience] was counted as a high satisfaction and frequency index, and the [play] and [experience] type of direct experience contents showed higher satisfaction than the indirect experience type contents. Through this study, we want to provide new implications and development possibilities in the development of contents that online museums can provide, and to promote various effects on children's education.

A Case Study of Spatial CAD Education in Blended Learning Environment (혼합형 학습(Blended Learning) 환경에서의 공간디자인 CAD 수업 사례연구)

  • Hwang, Ji Hyoun;Lim, Haewon
    • The Journal of the Korea Contents Association
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    • v.21 no.10
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    • pp.115-126
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    • 2021
  • The purpose of this study is to closely analyze the case of blended-learning in order to provide a diverse and flexible learning environment while maintaining the nature of face-to-face classes, and to identify the learning environment that supports blended-learning in each class step and the educational experience of students. The experience and satisfaction of blended learning were investigated in various ways: course evaluation, LMS activity evaluation, and questionnaire before and after the class. As a result, the blended-learning is better than the traditional face-to-face classes, in providing real-time feedback, opportunities for various interactions, and textual conversations, anytime and anywhere. In addition, as a result of the preliminary survey, as a measure to solve the opinion that concentration was reduced due to problems such as networks and felt uncomfortable in the communication part, the theory and lectures of the design practice class were conducted non-face-to-face. The individual Q&A and feedback were conducted face-to-face and non-face-to-face. As a result of the follow-up survey, it was found that concentration and efficiency could be improved. This opens up possibilities for active use of the online environment in design practice classes.

A Hybrid RBF Network based on Fuzzy Dynamic Learning Rate Control (퍼지 동적 학습률 제어 기반 하이브리드 RBF 네트워크)

  • Kim, Kwang-Baek;Park, Choong-Shik
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.9
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    • pp.33-38
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    • 2014
  • The FCM based hybrid RBF network is a heterogeneous learning network model that applies FCM algorithm between input and middle layer and applies Max_Min algorithm between middle layer and output. The Max-Min neural network uses winner nodes of the middle layer as input but shows inefficient learning in performance when the input vector consists of too many patterns. To overcome this problem, we propose a dynamic learning rate control based on fuzzy logic. The proposed method first classifies accurate/inaccurate class with respect to the difference between target value and output value with threshold and then fuzzy membership function and fuzzy decision logic is designed to control the learning rate dynamically. We apply this proposed RBF network to the character recognition problem and the efficacy of the proposed method is verified in the experiment.

A Study on the Possibility of Applying Blended teaming to Design Education - Focused on the survey of learners′ satisfaction - (디자인교육에서 혼합형 수업(Blended learning) 적용 가능성 - 학습자 만족도 조사를 중심으로 -)

  • 백수희
    • Archives of design research
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    • v.16 no.4
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    • pp.443-452
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    • 2003
  • This study is to find out the possibility of applying the Blended Learning which combines the advantage of face-to-face classroom instruction and e-Learning to design education. This Blended Loaming Model has five steps such as 'prepare, teach, show, interact, and collaborate'. It is designed by the learning decision points (performance outcomes, content stability and structure, audience size, and so on) and the characteristics of delivery methods(asynchronous, synchronous). This research is based on the learners' satisfaction data of each step. The number of the participants is 27 and a questionnaire with 21 items is administered. Ten items of them are designed with 5-point Likert scales and the rest of them ask learners describe the reason of their selection. The result show that learners are satisfied with the blended learning than the off-line classroom. It is expected that the blended learning can be a substitute of the off-line classroom for the effectiveness of design education.

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Layered Object Detection using Adaptive Gaussian Mixture Model in the Complex and Dynamic Environment (혼잡한 환경에서 적응적 가우시안 혼합 모델을 이용한 계층적 객체 검출)

  • Lee, Jin-Hyung;Cho, Seong-Won;Kim, Jae-Min;Chung, Sun-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.3
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    • pp.387-391
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    • 2008
  • For the detection of moving objects, background subtraction methods are widely used. In case the background has variation, we need to update the background in real-time for the reliable detection of foreground objects. Gaussian mixture model (GMM) combined with probabilistic learning is one of the most popular methods for the real-time update of the background. However, it does not work well in the complex and dynamic backgrounds with high traffic regions. In this paper, we propose a new method for modelling and updating more reliably the complex and dynamic backgrounds based on the probabilistic learning and the layered processing.

The Effects of Math Textbook Project Learning(MtPL) on Affective Domain (수학 교과서 프로젝트 학습이 정의적 영역에 미치는 영향)

  • Yoo, Ki Jong;Kim, Chang Il
    • School Mathematics
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    • v.18 no.3
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    • pp.479-501
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    • 2016
  • This study was conducted as a learning project for 20 pre-third graders in high school by means of math textbooks, G+, and sample questions from previous CSAT as learning tools for 9 weeks from Dec. 24, 2015. The purpose of the study was to develop 'math textbook project learning(MtPL)', a mixed learning method combined on-line with off-line, and analyze the effects of MtPL on the affective domain of high school students. As a result of the study, it was found that MtPL had positive effects on self-efficacy and self-confidence of students, while the collaborative learning using a textbook and teacher's role worked as instrumental motivation in mathematics learning. The result also implies that the perception of high school students, who think to resolve more difficult math problems to succeed in CSAT, about mathematics learning method has to be modified. Furthermore, it is shown that the preparation of CSAT by utilizing textbook and the use of textbook in math learning have been worked positively for the students.