An XML-based distance learning system capable of conveying information on “lecture event”

Naoaki Mashita, Hiroshi Shigeno, Yutaka Matsushita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

As the demand for lectures without the limitation of time and space, there will be more and more expectations about the implementation of a Distance Learning(DL) System. However, in the present DL system, images related to the actions, reactions and interaction between the teacher and the students are insufficient. In this paper we will emphasize the importance of 'Lecture Event' and suggest description of DL and a DL system which will allow the easy realization of content and make possible a virtual reality experience of real lectures….

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages255-267
Number of pages13
Volume2252
ISBN (Print)9783540430353
Publication statusPublished - 2001
Event6th International Computer Science Conference on Active Media Technology, AMT 2001 - Hong Kong, China
Duration: 2001 Dec 182001 Dec 20

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2252
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other6th International Computer Science Conference on Active Media Technology, AMT 2001
CountryChina
CityHong Kong
Period01/12/1801/12/20

Fingerprint

Distance Learning
Distance education
Conveying
Learning Systems
XML
Learning systems
Virtual Reality
Virtual reality
Students
Interaction

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Mashita, N., Shigeno, H., & Matsushita, Y. (2001). An XML-based distance learning system capable of conveying information on “lecture event”. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2252, pp. 255-267). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2252). Springer Verlag.

An XML-based distance learning system capable of conveying information on “lecture event”. / Mashita, Naoaki; Shigeno, Hiroshi; Matsushita, Yutaka.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2252 Springer Verlag, 2001. p. 255-267 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2252).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mashita, N, Shigeno, H & Matsushita, Y 2001, An XML-based distance learning system capable of conveying information on “lecture event”. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 2252, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2252, Springer Verlag, pp. 255-267, 6th International Computer Science Conference on Active Media Technology, AMT 2001, Hong Kong, China, 01/12/18.
Mashita N, Shigeno H, Matsushita Y. An XML-based distance learning system capable of conveying information on “lecture event”. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2252. Springer Verlag. 2001. p. 255-267. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Mashita, Naoaki ; Shigeno, Hiroshi ; Matsushita, Yutaka. / An XML-based distance learning system capable of conveying information on “lecture event”. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2252 Springer Verlag, 2001. pp. 255-267 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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