• Title/Summary/Keyword: Learning integration

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A Study on the Extraction and Integration of Learning Object Meta-data using Web Service of Databases (DBMS의 웹서비스를 이용한 학습객체 메타데이터 추출 및 통합에 관한 연구)

  • Choe, Hyun-Jong
    • Journal of The Korean Association of Information Education
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    • v.7 no.2
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    • pp.199-206
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    • 2003
  • XML is becoming a new developing tool of web technology because of its ability of data management and flexibility in data presentation. So it's well researched that the reusability and integration with learning objects such as text, image, sound, video and plug-in programs of web contents in computer education. But the research for storing, extracting and integrating metadata about learning object was needed prior to implementing online learning system to integrate and manage it. Therefore this study propose a new method of using web service of DBMS for extracting learning object's metadata in database server which located in 3-tier system. To evaluate the efficiency of proposed method, The test server and two DBMSs(MS SQL Server 2000 and Oracle 9i) which have 30 metadata was implemented and the response time of it was measured. The response time of it was short, but in order to using this method the additional programming with SAX/DOM was necessary.

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A Machine learning Approach for Knowledge Base Construction Incorporating GIS Data for land Cover Classification of Landsat ETM+ Image (지식 기반 시스템에서 GIS 자료를 활용하기 위한 기계 학습 기법에 관한 연구 - Landsat ETM+ 영상의 토지 피복 분류를 사례로)

  • Kim, Hwa-Hwan;Ku, Cha-Yang
    • Journal of the Korean Geographical Society
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    • v.43 no.5
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    • pp.761-774
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    • 2008
  • Integration of GIS data and human expert knowledge into digital image processing has long been acknowledged as a necessity to improve remote sensing image analysis. We propose inductive machine learning algorithm for GIS data integration and rule-based classification method for land cover classification. Proposed method is tested with a land cover classification of a Landsat ETM+ multispectral image and GIS data layers including elevation, aspect, slope, distance to water bodies, distance to road network, and population density. Decision trees and production rules for land cover classification are generated by C5.0 inductive machine learning algorithm with 350 stratified random point samples. Production rules are used for land cover classification integrated with unsupervised ISODATA classification. Result shows that GIS data layers such as elevation, distance to water bodies and population density can be effectively integrated for rule-based image classification. Intuitive production rules generated by inductive machine learning are easy to understand. Proposed method demonstrates how various GIS data layers can be integrated with remotely sensed imagery in a framework of knowledge base construction to improve land cover classification.

A Study on the Variables Affecting the Institutional Commitment (대학생의 대학몰입에 영향을 미치는 요인 분석)

  • Kim, Hee-Sungg;Park, In-Ho;Wang, Wenhui;Hwang, Eui-Kyun;Lee, Min-Su;Lee, Gil-Jae
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.179-188
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    • 2022
  • The purpose of this study is to analyze the variables affecting the institutional commitment of college students. Based on the relevant literature review, this study subdivided institutional commitment of college students into three; academic integration, social integration and institutional commitment. To achieve the goals, the hierarchical regression analysis was conducted using KELS(Korea Educational Longitudinal Survey) data collected by KEDI in 2018. Major findings are as follows: factors related to college experiences such as learning styles, negligence of learning, college climate, interaction with faculty members or peer group were found to be associated with the institutional commitment of college students. With regard to students' background, male students revealed lower level of academic integration and institutional commitment. The regression model disclosed that students from medicine demonstrated higher social integration compared to other majors. Based on the findings of the study, policy implications were discussed.

A Study on e-Learning System Based on Learning Content Standard in Model Driven Architecture

  • Song, Yu-Jin;Cho, Hyen-Suk
    • 한국정보컨버전스학회:학술대회논문집
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    • 2008.06a
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    • pp.205-208
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    • 2008
  • Contents application from contents development of web technical base and with the operation different environment information of the educational resources integration the importance and necessity of the management central chain e-Learning system will be able to operate are raising its head with base. Is the actual condition which develops the development process where but, the education application currently is not standardized in base. Approaches with an educational domain from the present paper consequently, and defines MDA(Model Driven Architecture) coats e-Learning System. Also uses a studying contents standard metadata and about the contents storage space analyzes and plans the core property which uses MDA automatic tools leads and under developing boil e-Learning System will be able to provide the contents which does in actual professor own necessity.

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Clinical Implementation of Deep Learning in Thoracic Radiology: Potential Applications and Challenges

  • Eui Jin Hwang;Chang Min Park
    • Korean Journal of Radiology
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    • v.21 no.5
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    • pp.511-525
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    • 2020
  • Chest X-ray radiography and computed tomography, the two mainstay modalities in thoracic radiology, are under active investigation with deep learning technology, which has shown promising performance in various tasks, including detection, classification, segmentation, and image synthesis, outperforming conventional methods and suggesting its potential for clinical implementation. However, the implementation of deep learning in daily clinical practice is in its infancy and facing several challenges, such as its limited ability to explain the output results, uncertain benefits regarding patient outcomes, and incomplete integration in daily workflow. In this review article, we will introduce the potential clinical applications of deep learning technology in thoracic radiology and discuss several challenges for its implementation in daily clinical practice.

Learning Ability of Deterministic Boltzmann Machine with Non-Monotonic Neurons (비단조뉴런 DBM 네트워크의 학습 능력에 관한 연구)

  • 박철영;이도훈
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.12a
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    • pp.275-278
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    • 2001
  • In this paper, We evaluate the learning ability of non-monotonic DBM(Deterministic Boltzmann Machine) network through numerical simulations. The simulation results show that the proposed system has higher performance than monotonic DBM network model. Non-monotonic DBM network also show an interesting result that network itself adjusts the number of hidden layer neurons. DBM network can be realized with fewer components than other neural network models. These results enhance the utilization of non-monotonic neurons in the large scale integration of neuro-chips.

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Development of an Adobe Connect Meeting Moodle Module (Adobe Connect Meeting 무들 모듈 개발)

  • Park, Jong-Dae;Jang, Jin-Hoon
    • The Journal of Natural Sciences
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    • v.19 no.1
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    • pp.11-25
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    • 2008
  • An Adobe Connect Meeting Moodle activity module was developed for the Pai-Chai Moodle virtual learning environment. Professors can create online meeting room directly from their courses by using the Adobe Connect Meeting module. The web services from the server was utilized for the application integration.

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A model of computer games for childhood English education (어린이 영어교육을 위한 컴퓨터 게임 모형)

  • Jeong, Dong-Bin;Kim, Joo-Eun
    • English Language & Literature Teaching
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    • v.10 no.2
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    • pp.133-158
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    • 2004
  • The purpose of the present study was to scrutinize computer games that can motivate elementary school students through their interactive "edutainment" effects. The types of elements in computer games that students find interesting as learning media and their impact were studied. The current status of Korean computer games, issues related to learning English, and methods to stimulate the motivation and interest in learning by elementary school students were explored. A computer game model for efficiently teaching English to elementary school students through a connection between computer games and education was suggested. In this model, overall games were designed with the focus on the integration of curriculum and content subjects related to learning activities. For games not to be biased toward entertainment and to have systemized learning steps, the games are composed of an introduction, presentation, practice, production and evaluation, in that order. The model suggested by this plan and composition make it possible to approach learning efficiently with entertaining games based on a systematic learning curriculum. As shown above, developing the model of educational computer games can be seen as an opportunity, which can provide amusement and interests and a broad learning experience as an additional learning method.

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A Concept Analysis on Learning Transfer in Nursing Using the Hybrid Model (혼종 모형을 이용한 간호 학습전이의 개념 분석)

  • Son, Hae Kyoung;Kim, Hyo Jin;Kim, Dong Hee
    • Korean Journal of Occupational Health Nursing
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    • v.29 no.4
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    • pp.354-362
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    • 2020
  • Purpose: This study aimed to define and clarify learning transfer in nursing. Methods: This study used a hybrid model to analyze the concept of learning transfer in nursing through three phases. For the theoretical phase, learning transfer attributes were identified through a scoping literature review. In the fieldwork phase, in-depth focus group interviews were conducted to develop attributes. Purposive sampling was performed with ten participants(five nursing students, two nurses, three nursing faculty members). In the analysis phase, the attributes and final analysis of learning transfer in nursing were extracted and integrated from the previous two phases. Results: According to the analysis, learning transfer was represented in two dimensions with eight attributes. The development of competency dimension had three attributes: 1) theory acquisition, nursing skills, professional attitude, 2) integration, and 3) analysis competency. The competency change dimension had five attributes: 1) appropriateness in patient care, 2) proficiency in patient care, 3) satisfaction, 4) achievement, and 5) confidence. Conclusion: The concept analysis might provide a basic understanding of learning transfer, a development framework toward a measurement of nursing learning transfer and effective educational nursing strategies.

Research on Four Variables toward the Effective Integration of Culture in the EFL Class of Korea

  • Roh, Seung-Bin
    • English Language & Literature Teaching
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    • v.11 no.2
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    • pp.91-110
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    • 2005
  • Many Korean EFL (English as a Foreign Language) students do not have sufficient opportunity to develop cultural knowledge and information in their classrooms. EFL teachers also tend to ignore the teaching of culture. Even though culture is taught, it simply tends to deliver "fact-only" information from the viewpoint of a "tourist level rather than cultural awareness by comparing native with target cultural references. Teaching target cultural knowledge and information should be delivered within the native cultural frame, and teaching of culture must be an integral part of teaching and learning English. The research methodology was quantitative. Quantitative data was gathered from 83 Korean EFL teachers and 286 EFL students by questionnaire. Findings indicated that three of these independent variables (cultural inequality, English-only instruction, and Unoism) were significantly and inversely related to integration of culture.

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