Welcome!
To use the personalized features of this site, please log in or register.
If you have forgotten your username or password, we can help.
My Menu
Marked Items 
Alerts
Order History
Saved Items
All
Favorites
    
Book Chapter Printable view
Modeling the Acquisition of English: An Intelligent CALL Approach ⋆

Modeling the Acquisition of English: An Intelligent CALL Approach ⋆

Book SeriesLecture Notes in Computer Science
PublisherSpringer Berlin / Heidelberg
ISSN0302-9743 (Print) 1611-3349 (Online)
VolumeVolume 2109/2010
BookUser Modeling 2001
DOI10.1007/3-540-44566-8
Copyright2010
ISBN978-3-540-42325-6
DOI10.1007/3-540-44566-8_2
Pages14-23
Subject CollectionComputer Science
SpringerLink DateMonday, January 01, 2001
Add to marked items

Modeling the Acquisition of English: An Intelligent CALL Approach ⋆

Lisa N. Michaud4 Contact Information, Kathleen F. McCoy4 Contact Information and Litza A. Stark4 Contact Information

(4)  Department of Computer and Information Sciences, University of Delaware, Newark, DE, 19716
Abstract
In this paper, we present a methodology for the development of a user model for CALL which captures various levels of language acquisition using individualized overlays supported with stereotypes. Our current focus is the empirical analysis of the order of written English grammatical structure acquisition in our learner population used to develop stereotype layers in our model.

Contact Information Lisa N. Michaud
Email: michaud@cis.udel.edu
URL: http://www.eecis.udel.edu/research/icicle

Contact Information Kathleen F. McCoy
Email: mccoy@cis.udel.edu
URL: http://www.eecis.udel.edu/research/icicle

Contact Information Litza A. Stark
Email: stark@cis.udel.edu
URL: http://www.eecis.udel.edu/research/icicle
Fulltext Preview (Small, Large)
Image of the first page of the fulltext

References secured to subscribers.
more options
Find


Export this chapter
Export this chapter as RIS | Text
 
Frequently asked questions | General information on journals and books | Send us your feedback | Impressum | Contact
© Springer. Part of Springer Science+Business Media
Privacy, Disclaimer, Terms and Conditions, © Copyright Information
Remote Address: 38.107.191.106 • Server: mpweb19
HTTP User Agent: CCBot/1.0 (+http://www.commoncrawl.org/bot.html)