• 제목/요약/키워드: Learning Together

검색결과 483건 처리시간 0.027초

가정과 수업의 협동학습이 학생의 교과에 대한 흥미와 태도에 미치는 영향 (The Effect of Cooperative Learning method in Home Economics on students′Interest and Attitude about Subject matter)

  • 양정혜;신상옥
    • 한국가정과교육학회지
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    • 제10권1호
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    • pp.137-151
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    • 1998
  • The purpose of this study is (1)to develop the teaching plan based on Cooperative Learning approach and (2)to investigate the effect of students'Interest on Subject matter and Teaching method and Attitudes to others of the area of Foreign food in Home Economics class. Among those various types of Cooperative Learning's models, this study adopted 'Learning Together'developed by Johnsons. To investigate these purpose, subject matter were analyzed and reconstructed for Cooperative Learning. The tests were developed to evaluate the interest on the Subject matter and teaching methods, and the attitude to others of the students. 108 femail high school students were divided into two groups with 54 students-traditional learning condition, Cooperative Learning condition-and had a 5 session. The subject of the class was Foreign food including Western, Chinese, and Japanes food. Before and after the class, students were tested. The statistical methods used for the study methods used for the study were t-test. The research findings are as follows : When the students in the Cooperative Learning classes were compared before and after the test, (1)Interest on Subject matter were improved considerably(p〈.001) (2)Interest on Teaching methods were improved considerably(p〈.05) (3)Attitude to Others were improved considerably(p〈.001) Therefore when the teaching-learning model based on Cooperative Liarning was used in Home Economics class, their interest on the subject and teaching methods and attitude to others were improved.

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An Internet-based Self-Learning Educational System for Efficient Learning Process of Java Language

  • Kim, Dong-Sik;Lee, Dong-Yeop;Park, Sang-Yoon
    • 한국멀티미디어학회:학술대회논문집
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    • 한국멀티미디어학회 2004년도 춘계학술발표대회논문집
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    • pp.709-713
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    • 2004
  • This Paper Presents an Internet-based Java self-learning educational system which consists of a management system named Java Web Player (JWP) and creative multimedia contents fer Java language. The JWP Is a Java application program free from security problems by the Java Web Start technologies that supports an Integrated learning environment including three Important learning Procedures: Java concept learning Process, Programming practice process and assessment process. This JWP enables the learners to achieve efficient and Interesting self-learning since the learning process is designed to enhance the multimedia capabilities on the basis of various educational technologies. On-line voice presentation and its related texts together with moving images are synchronized for efficiently conveying creative contents to learners. Furthermore, a simple and useful compiler is included in the JWP fur providing user-friendly language practice environment enabling such as coding, editing, executing and debugging Java source files on the Web. The assessment process with various items helps the learners not only to increase their academic capability but also to appreciate their current degree of understanding. Finally, simple multiple choices are given suddenly to the learners while they are studying through the JWP and the test results are displayed on the message box. The proposed system can be used for an efficient tool for learning system on the Web.

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FUZZY HYPERCUBES: A New Inference Machines

  • Kang, Hoon
    • 한국지능시스템학회논문지
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    • 제2권2호
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    • pp.34-41
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    • 1992
  • A robust and reliable learning and reasoning mechanism is addressed based upon fuzzy set theory and fuzzy associative memories. The mechanism stores a priori an initial knowledge base via approximate learning and utilizes this information for decision-making systems via fuzzy inferencing. We called this fuzzy computer architecture a 'fuzzy hypercube' processing all the rules in one clock period in parallel. Fuzzy hypercubes can be applied to control of a class of complex and highly nonlinear systems which suffer from vagueness uncertainty. Moreover, evidential aspects of a fuzzy hypercube are treated to assess the degree of certainty or reliability together with parameter sensitivity.

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파라미터 추정방법을 이용한 로보트 반복학습제어기의 설계 (Design of an Iterative Learning Robot Controller Using Parameter Estimation)

  • 오상록;황동환;;서일홍
    • 대한전기학회논문지
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    • 제39권4호
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    • pp.393-402
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    • 1990
  • An iterative learning contol method is presented for a class of linear periodic systems, in which a parameter estimator of the system together with an inverse system model is utilized to generate the control signal at each iteration. A convergence proof is given and two numerical examples are illustrated to show the validities of the algorithm. In particular, it is shown that the method is useful for the continuous path control of robot manipulators.

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Three Examples of Learning Robots

  • Mashiro, Oya;Graefe, Volker
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.147.1-147
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    • 2001
  • Future robots, especially service and personal robots, will need much more intelligence, robustness and user-friendliness. The ability to learn contributes to these characteristics and is, therefore, becoming more and more important. Three of the numerous varieties of learning are discussed together with results of real-world experiments with three autonomous robots: (1) the acquisition of map knowledge by a mobile robot, allowing it to navigate in a network of corridors, (2) the acquisition of motion control knowledge by a calibration-free manipulator, allowing it to gain task-related experience and improve its manipulation skills while it is working, and (3) the ability to learn how to perform service tasks ...

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맞춤형 학습을 위한 SCORM 기반 pLMIS 개발 (Development of pLMIS based on SCORM for Personalized Learning)

  • 전창영;정석태;주수종;한성국;정영식
    • 컴퓨터교육학회논문지
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    • 제8권6호
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    • pp.85-94
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    • 2005
  • 오늘날 웹 기반 학습 관리 정보시스템은 학습자의 개인 특성에 부응하는 많은 맞춤형 학습 정보시스템들이 개발되고 있다. 그러나 기존의 시스템들은 일방적인 푸쉬(push)방식이거나 혹은 컨텐츠를 재사용 하고 있어 시스템간 상호 운용성 및 유지 보수가 되지 않으며, 서로 이질적인 학습관리 시스템으로 학습관리 정보 체계가 상이하여 통합 관리가 되지 않았다. 이에 본 논문에서는 기존 시스템들의 단점을 보안하고 국제표준 SCORM 기반 맞춤형 학습 관리 정보 구현하였다. 시퀀싱한 컨텐츠를 적용하여 강의, 문항풀이를 하며 학습자를 평가하는 시스템과 그 결과를 바탕으로 계속적인 맞춤형 학습 기능을 제공한다.

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유아교사의 놀이중심 교육과정 실행을 위한 교사학습공동체 참여의 의미 탐색 (Exploring the Meaning of Participation in a Teacher Learning Community for the Implementation of a Play-Centered Curriculum)

  • 이원미;권연희
    • 한국보육지원학회지
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    • 제18권2호
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    • pp.1-18
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    • 2022
  • Objective: A teacher learning community was developed in order to implement a play-centered curriculum at a child care center, and teachers' experiences during the process were explored. Methods: The teacher learning community was carried out for a total of 23 sessions. One researcher and six teachers participated in this study. Data including the transcripts of recordings of the teacher learning community, transcripts of individual teachers' interview recordings, teachers' reflective journals, and social media posts were collected. Data were analyzed according to the qualitative data analysis procedure. Results: The teachers recognized their experiences of the teacher learning community as follows: (1) encouraging and empowering each other to find a way together, (2) self-reflection, communication and sharing with experiences, (3) becoming a teacher who practices change. Conclusion/Implications: The results of this study show the importance and effectiveness of managing the teacher learning community in a way that teachers interact with each other in a collaborative manner within the community based on initiative and spontaneity, and to provide help to each other in the process of understanding and practicing the play-centered curriculum. The teacher learning community supports the professionalism of teachers for the practice of a play-centered curriculum.

The "Third Wave": Values associated with Effective Learning of Mathematics in Australian Primary Classrooms

  • Seah, Wee Tiong
    • 한국수학교육학회:학술대회논문집
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    • 한국수학교육학회 2010년도 제44회 전국수학교육연구대회
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    • pp.291-306
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    • 2010
  • The study reported here is the Australian component of an international research project which seeks to identify student-reported convictions co-valued by them and their teachers during moments of effective mathematics learning. The 2 teachers and their 12 students in the 2 primary school classes associated effective moments of learning with 13 different values. No gender difference was apparent. Although the teachers planned their lessons together and were teaching similar topics, there were differences in what were co-valued. Of the 13 values, examples, sharing, resources, and multimodal representations were found to be commonly valued by students across the 'ability' groups, while the others related to particular 'ability' groups only.

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The "Third Wave": Values associated with Effective Learning of Mathematics in Australian Primary Classrooms

  • Seah, Wee Tiong
    • 한국수학교육학회지시리즈D:수학교육연구
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    • 제14권2호
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    • pp.99-114
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    • 2010
  • The study reported here is the Australian component of an international research project which seeks to identify student-reported convictions co-valued by them and their teachers during moments of effective mathematics learning. The 2 teachers and their 12 students in the 2 primary school classes associated effective moments of learning with 13 different values. No gender difference was apparent. Although the teachers planned their lessons together and were teaching similar topics, there were differences in what were co-valued. Of the 13 values, examples, sharing, resources, and multi modal representations were found to be commonly valued by students across the 'ability' groups, while the others related to particular 'ability' groups only.

딥러닝 기반 영상 주행기록계와 단안 깊이 추정 및 기술을 위한 벤치마크 (Benchmark for Deep Learning based Visual Odometry and Monocular Depth Estimation)

  • 최혁두
    • 로봇학회논문지
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    • 제14권2호
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    • pp.114-121
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    • 2019
  • This paper presents a new benchmark system for visual odometry (VO) and monocular depth estimation (MDE). As deep learning has become a key technology in computer vision, many researchers are trying to apply deep learning to VO and MDE. Just a couple of years ago, they were independently studied in a supervised way, but now they are coupled and trained together in an unsupervised way. However, before designing fancy models and losses, we have to customize datasets to use them for training and testing. After training, the model has to be compared with the existing models, which is also a huge burden. The benchmark provides input dataset ready-to-use for VO and MDE research in 'tfrecords' format and output dataset that includes model checkpoints and inference results of the existing models. It also provides various tools for data formatting, training, and evaluation. In the experiments, the exsiting models were evaluated to verify their performances presented in the corresponding papers and we found that the evaluation result is inferior to the presented performances.