• Title/Summary/Keyword: 학습 모듈

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The Design and development of online learning modules for the broadcasting content-based e-PBL (방송콘텐츠 기반 e-PBL을 위한 온라인 학습모듈 설계 및 개발)

  • Jung, Joon-Hwan
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.1
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    • pp.105-115
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    • 2012
  • This study paid attention to the possibility of broadcasting contents as a learning resource, which promoted the knowledge composition and the process of creation from the software having enriched contents not a delivering tool for the information in one direction. and tried to implement it thru e-PBL, which is one of teaching-learning models in e-learning. In order to implement the possibility of broadcasting contents in the e-PBL enviroment as a learning resource, the study focused on the design and development of e-PBL based on the broadcasting contents and found out the educational possibility for the broadcasting contents as the learning resource in e-PBL enviroment. This study focused on the design of learning module and development process which integrated strategic plans to maximize the utilization of broadcasting contents including development of online learning community. Also, This is verified by applying the learning module was to prove a differentiation.

An Adaptive Classification Model Using Incremental Training Fuzzy Neural Networks (점증적 학습 퍼지 신경망을 이용한 적응 분류 모델)

  • Rhee, Hyun-Sook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.6
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    • pp.736-741
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    • 2006
  • The design of a classification system generally involves data acquisition module, learning module and decision module, considering their functions and it is often an important component of intelligent systems. The learning module provides a priori information and it has been playing a key role for the classification. The conventional learning techniques for classification are based on a winner take all fashion which does not reflect the description of real data where boundarues might be fuzzy Moreover they need all data for the learning of its problem domain. Generally, in many practical applications, it is not possible to prepare them at a time. In this paper, we design an adaptive classification model using incremental training fuzzy neural networks, FNN-I. To have a more useful information, it introduces the representation and membership degree by fuzzy theory. And it provides an incremental learning algorithm for continuously gathered data. We present tie experimental results on computer virus data. They show that the proposed system can learn incrementally and classify new viruses effectively.

Development of a Problem-Based Learning Module for Preschoolers' Growth & Development (학령전기 아동 성장발달의 PBL 모듈 개발)

  • Lee, Myung-Nam;Son, Hae Kyoung
    • The Journal of the Korea Contents Association
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    • v.18 no.11
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    • pp.393-405
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    • 2018
  • Problem-Based Learning (PBL) is a student-centered pedagogy that integrates nursing knowledge, skills, and attitudes into clinical nursing practice. This pilot aims to apply a PBL module on preschoolers' growth and development in the nursing curriculum. This quantitative study was performed to develop a PBL module following Dick and Carye's program development process (planning, development, application, and evaluation phases), and to evaluate its effects using structured questionnaires among sophomore nursing students. These students formed teams of four or five people each and spent 40 minutes participating in the PBL module. Data were analyzed using descriptive statistics, t-tests, and content analysis. Metacognition level increased significantly. There was no significant difference in team efficacy between pre-test and post-test. Post-test learning satisfaction was high. Students reported obtaining knowledge and problem-solving ability with respect to preschoolers' growth and development and were satisfied with teamwork. This finding offers fundamental knowledge concerning the application of a PBL module in nursing curricula.

Development and evaluation of problem-based learning module in clinical dental hygiene (임상치위생학에서 문제중심학습(Problem-Based Learning)의 모듈 개발 및 평가)

  • Choi, Jin-Sun;Bae, Soo-Myoung;Shin, Sun-Jung;Shin, Bo-Mi;Lee, Hyo-Jin
    • Journal of Korean society of Dental Hygiene
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    • v.22 no.2
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    • pp.81-92
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    • 2022
  • Objectives: The purpose of this study was to evaluate learners' satisfaction with operating Problem-Based Learning (PBL), competency level for dental hygiene, and learners' opinions through a reflection journal by developing a PBL class module and applying it to clinical dental hygiene classes. Methods: The subjects of the study were 31 students in the Clinical Dental Hygiene (oral health management for special patients) course in the second semester of the fourth grade. This study was conducted over the first semester from September to December 2020. The developed PBL learning module was applied for the 15 weeks class, and after all PBL classes were over, the overall satisfaction with the class and the change in student competency level was evaluated. Results: The overall satisfaction of learners with PBL was high, and the level of self-competence also increased compared to before class. In addition, the top three topics (Competencies learned through PBL, humanistic and sociological elements learned through PBL, and obstacles in the PBL) were derived through the reflection journal after PBL learning activities. Conclusions: It was confirmed that the PBL learning module developed in this study is a class that enables students to identify problems and solve them integrally and drives the improvement of humanities and sociological competencies.

A Study on The Adaptive Navigation Support Technology for Individualized Cyber Learning System (사이버 교육 시스템에서의 개별학습을 위한 적응적 탐색 지원 기법 연구)

  • Park, Jongsun;Kim, Kiseok
    • The Journal of Korean Association of Computer Education
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    • v.5 no.1
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    • pp.85-98
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    • 2002
  • In this study, We are developed learner traits analysis and profile management software modules to develop learnable courseware fits to learner's individual traits in cyber learning system. We specified learner's personal information, performance information, preference information and portfolio information as learner's traits variables in this study, these four types of information are managed in learner profile management DB based on elaborate analysis to learner's traits. And we consists of curriculum sequencing module using high and low level sequencing technology, these are used in organizing learning contents sequencing with learning topic and specific learning task. The advice algorithm module developed based on adaptive navigational support and rule based technology. This Result of Research are able to be used for develop learnable courseware fits to learner's individual traits in cyber learning systems.

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A Student Modeling Technique for Developing Student′s Level Oriented Dynamic Tutoring System for Science Class (수준별 동적 교수.학습 시스템 개발을 위한 학습자 모델링 기법)

  • 김성희;김수형
    • Journal of the Korea Society of Computer and Information
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    • v.7 no.2
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    • pp.59-67
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    • 2002
  • Major Characteristic of the 7th National Curriculum in science is to provide deep and supplementary learning, depending on the level of each learner. In the level-oriented curriculum, coursewares are used to present teaching materials to various levels. In most coursewares, however, they provide their contents at a uniform level and hence it is hard to expect level-oriented learning. This paper presents learner's modeling for developing student's level-oriented dynamic tutoring system for science class , Instructional module of this system made by component unit is able to be reconstructed dynamically. Learning module is constructed using a hybrid model mixed of Overlay and Bug model. Testing module interprets diagnostic errors to be established by given differentiated weight in accordance with item's difficulty and discrimination. Through ITS student modeling, this system presents various problem solving methods reconstructed by learner's level differentiated.

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Implementing Instructional Modules for Engineering Ethics into Engineering Curricula (공학윤리 교육모듈 컨텐츠를 이용한 전공교과목에서의 공학윤리 교육)

  • Lee, Young-Nam;Kim, Dae-Wook;Yu, Ji-Beom;Hwang, Sung-Ho;Kim, Hyun-Soo
    • Journal of Engineering Education Research
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    • v.10 no.4
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    • pp.78-92
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    • 2007
  • This study presents how the engineering ethics instructional modules have been developed based on Korean culture and how they are implemented into the existing engineering curricula at Sungkyunkwan University. The engineering ethics instructional modules were designed to be taught by engineering faculty members who did not have any teaching experience in ethics. As a result, it was determined that the engineering ethics instructional modules should include a detailed instructor lesson plan and all supporting resources such as slides (Power Point base), and handouts, or assessment units (pre- and post-test). Two 75 minute modules developed in this study consist of the diverse instructional activities for various student group sizes. In order to improve students' interests and classroom attention, various visual and audio resources such as famous movies, cartoons, and poems were included in the instructional resources. In addition, a number of case studies which might happen in the students' daily lives were chosen. The resulting ethical module No. 1 has been instructed in the existing engineering classes during the 1st semester in 2007. Overall, the students reported positive impressions of the modules and the faculty members also reported favorable perceptions of the modules. Also, team based activities encouraged students to participate in constructing the event trees, which are a basic analysis tool for ethics case studies. The results of this study will provide a guideline of implementing engineering ethics into the engineering curricula to other engineering programs and schools.

The Development of Web Based Instruction Program on Oceanography Unit and the Analysis of Its Effects in Earth Science Class (지구과학 해양 단원의 웹 기반 학습자료 개발 및 효과 분석)

  • Park, Soo-Kyong;Kang, Min-Ju;Kim, Sang-Dal
    • Journal of The Korean Association For Science Education
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    • v.21 no.2
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    • pp.264-278
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    • 2001
  • The purpose of this study was to develop the web based instruction(WBI) program, to examine its effects on the science achievement, the attitude toward science, and students' perceptions on the WBI learning. The WBI program on the content of oceanography unit in Earth Science for high schools was developed using Namo 4.0, JAVA-script, Flash 4, Video Capture of SnagIt, Animation Shop graphic tools. The treatment group consisted of students who participated in the WBI program developed in this study, and the control group consisted of students who participated in the module instruction using self-learning materials. The results from this study were as follows: First, the scores of science achievement of WBI group were significantly higher than those of module group. There was not interaction effect of treatment and students' learning ability. Second, there were no significant difference in the scores of the attitude towards science learning between WBI group and module group, and there was not interaction effect of treatment and students' learning ability. Third, in the perception questionnaire of WBI learning, many students showed the WBI learning were good in terms of causing interaction between learners and web based learning materials including various images and animations. However there are several students who showed learning difficulties. For example they wonder which part is more important and what order is proper to study in hypertext environment.

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Neural Theorem Prover with Word Embedding for Efficient Automatic Annotation (효율적인 자동 주석을 위한 단어 임베딩 인공 신경 정리 증명계 구축)

  • Yang, Wonsuk;Park, Hancheol;Park, Jong C.
    • 한국어정보학회:학술대회논문집
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    • 2016.10a
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    • pp.79-84
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    • 2016
  • 본 연구는 전문기관에서 생산되는 검증된 문서를 웹상의 수많은 검증되지 않은 문서에 자동 주석하여 신뢰도 향상 및 심화 정보를 자동으로 추가하는 시스템을 설계하는 것을 목표로 한다. 이를 위해 활용 가능한 시스템인 인공 신경 정리 증명계(neural theorem prover)가 대규모 말뭉치에 적용되지 않는다는 근본적인 문제를 해결하기 위해 내부 순환 모듈을 단어 임베딩 모듈로 교체하여 재구축 하였다. 학습 시간의 획기적인 감소를 입증하기 위해 국가암정보센터의 암 예방 및 실천에 대한 검증된 문서들에서 추출한 28,844개 명제를 위키피디아 암 관련 문서에서 추출한 7,844개 명제에 주석하는 사례를 통하여 기존의 시스템과 재구축한 시스템을 병렬 비교하였다. 동일한 환경에서 기존 시스템의 학습 시간이 553.8일로 추정된 것에 비해 재구축한 시스템은 93.1분 내로 학습이 완료되었다. 본 연구의 장점은 인공 신경 정리 증명계가 모듈화 가능한 비선형 시스템이기에 다른 선형 논리 및 자연언어 처리 모듈들과 병렬적으로 결합될 수 있음에도 현실 사례에 이를 적용 불가능하게 했던 학습 시간에 대한 문제를 해소했다는 점이다.

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Neural Theorem Prover with Word Embedding for Efficient Automatic Annotation (효율적인 자동 주석을 위한 단어 임베딩 인공 신경 정리 증명계 구축)

  • Yang, Wonsuk;Park, Hancheol;Park, Jong C.
    • Annual Conference on Human and Language Technology
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    • 2016.10a
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    • pp.79-84
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    • 2016
  • 본 연구는 전문기관에서 생산되는 검증된 문서를 웹상의 수많은 검증되지 않은 문서에 자동 주석하여 신뢰도 향상 및 심화 정보를 자동으로 추가하는 시스템을 설계하는 것을 목표로 한다. 이를 위해 활용 가능한 시스템인 인공 신경 정리 증명계(neural theorem prover)가 대규모 말뭉치에 적용되지 않는다는 근본적인 문제를 해결하기 위해 내부 순환 모듈을 단어 임베딩 모듈로 교체하여 재구축 하였다. 학습 시간의 획기적인 감소를 입증하기 위해 국가암정보센터의 암 예방 및 실천에 대한 검증된 문서들에서 추출한 28,844개 명제를 위키피디아 암 관련 문서에서 추출한 7,844개 명제에 주석하는 사례를 통하여 기존의 시스템과 재구축한 시스템을 병렬 비교하였다. 동일한 환경에서 기존 시스템의 학습 시간이 553.8일로 추정된 것에 비해 재구축한 시스템은 93.1분 내로 학습이 완료되었다. 본 연구의 장점은 인공 신경 정리 증명계가 모듈화 가능한 비선형 시스템이기에 다른 선형 논리 및 자연언어 처리 모듈들과 병렬적으로 결합될 수 있음에도 현실 사례에 이를 적용 불가능하게 했던 학습 시간에 대한 문제를 해소했다는 점이다.

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