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e-learning adaptive web system's formal design

Published: 17 June 2004 Publication History

Abstract

This article deals with formal description of the adaptive web system. Adaptive web system monitors particular user's behaviour and characteristics. Based on them, the system compiles a resultant adapted document. This document corresponds to user's qualification and capability, preferences and his/her specific needs. Formal description of adaptive web system is needful for exact description of adaptive document behaviour and consecutive automated implementation of adaptive web systems.

References

[1]
Deshpande, Y., Hansen, S: Web engineering: creating a discipline among disciplines, IEEE Multimedia, April-June, 2001, pp. 82--87.
[2]
Brusilovsky, P., Maybury, M. T: From Adaptive Hypermedia to the Adaptive Web, Communications of the ACM, Vol. 45, 2002, pp. 31--33.
[3]
Bures, M: Adaptivni sytemy v internetem podporovane vyuce, In: Fenomen elearningu v soucasnem vzdelavani, Prague, Czech Republic, 2003, pp. 49--51. (in Czech)
[4]
Jones, K: Sun's Commitment to Education, Worldwide Education and Research Conference, Madrid, Spain, 2004.

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Published In

cover image ACM Other conferences
CompSysTech '04: Proceedings of the 5th international conference on Computer systems and technologies
June 2004
661 pages
ISBN:9549641384
DOI:10.1145/1050330
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 June 2004

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Author Tags

  1. E-learning
  2. accessibility
  3. adaptive web systems
  4. formal design

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Overall Acceptance Rate 241 of 492 submissions, 49%

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