• Title/Summary/Keyword: Educational Adaptive Hypermedia System

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Development of User Model for an Educational Adaptive Hypermedia System (교육용 적응적 하이퍼미디어 시스템의 사용자 모형 개발)

  • Yu, Jeong-Su
    • Journal of The Korean Association of Information Education
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    • v.8 no.4
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    • pp.547-554
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    • 2004
  • Education is the largest application area of adaptive hypermedia systems. The user modeling is considered a very important part of the field of adpative hypermedia systems. In this paper we present the developed user model which provides different educational contents using a neural network. The user model has been verified on hypermedia for learning about basic web concepts, multimedia and HTML. This paper reports the results of simulation. Our simulation shows that the user model exactly can provide contextual different links for different students.

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Adaptive Hypermedia for eLearning: An Implementation Framework

  • Dutta, Diptendu;Majumdar, Shyamal;Majumdar, Chandan
    • Journal of Korea Multimedia Society
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    • v.6 no.4
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    • pp.676-684
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    • 2003
  • eLearning can be defined as an approach to teaching and teaming that utilises Internet technologies to communicate and collaborate in an educational context. This includes technology that supplements traditional classroom training with web-based components and learning environments where the educational process is experienced online. The use of hypertext as an educational tool has a very rich history. The advent of the internet and one of its major application, the world wide web (WWW), has given a tremendous boost to the theory and practice of hypermedia systems for educational purposes. However, the web suffers from an inability to satisfy the heterogeneous needs of a large number of users. For example, web-based courses present the same static teaming material to students with widely differing knowledge of the subject. Adaptive hypermedia techniques can be used to improve the adaptability of eLearning. In this paper we report an approach to the design a unified implementation framework suitable for web-based eLearning that accommodates the three main dimensions of hypermedia adaptation: content, navigation, and presentation. The framework externalises the adaptation strategies using XML notation. The separation of the adaptation strategies from the source code of the eLearning software enables a system using the framework to quickly implement a variety of adaptation strategies. This work is a part of our more general ongoing work on the design of a framework for adaptive content delivery. parts of the framework discussed in this paper have been imulemented in a commercial eLearning engine.

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Design of a Web Based Adaptive Hypermedia System for Education (웹 기반 교육용 적응적 하이퍼미디어 시스템 설계)

  • 백영태
    • Journal of Korea Multimedia Society
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    • v.5 no.1
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    • pp.59-67
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    • 2002
  • In this paper, I discuss the problems of developing web based adaptive hypermedia for education using extensible Markup Language(XML). Adaptive hypermedia systems are capable of altering the Presentation of the contents of the hypermedia on the basis of a dynamic understanding of the individual student. The student profile is contained in a student model, while the knowledge about the domain can be represented in the form of a concept based domain model. Accordingly, I define two different markup languages using XML. The one structures the domain model and the another describes the student model. These language can be easily extended and authored, with the result of obtaining a simple methodology for data structuring in the field of web based educational adaptive hypermedia.

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Design of the XML Based Educational Adaptive Hypermedia System (XML 기반의 교육용 동적적응 하이퍼미다어 시스템 설계)

  • Baek, Yeong-Tae;Lee, Se-Hoon
    • The Journal of Korean Association of Computer Education
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    • v.7 no.2
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    • pp.67-76
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    • 2004
  • The problems of developing web based adaptive hypermedia for education using XML are discussed in this paper. We define two different markup languages using XML. The one structures the domain model and the another describes the user model. These language can be easily extended and authored, with the result of obtaining a simple methodology for data structuring in the field of web based educational adaptive hypermedia. Also, We have suggested three learning rules that automatically restructures hypertext networks according to their user browsing behavior. The user profile is contained in a user model, while the knowledge about the domain can be represented in the form of a concept based domain model. Accordingly.

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