DocumentCode
1959480
Title
An application of artificial intelligence to distance education
Author
Whitson, George
Author_Institution
Dept. of Comput. Sci., Texas Univ., Tyler, TX, USA
Volume
1
fYear
1999
fDate
10-13 Nov. 1999
Abstract
Neutral nets are intelligent classifiers that can make distance education courses seem more like traditional courses. Neural nets are described in this paper that predict poor performance of an individual in a class and poor performance of the class as a whole. Several other problems that similar techniques could be used for are also described.
Keywords
artificial intelligence; distance learning; educational courses; neural nets; teaching; artificial intelligence application; class performance; distance education courses; individual performance; intelligent classifiers; neural nets; poor academic performance prediction; Application software; Artificial intelligence; Artificial neural networks; Backpropagation; Computer science; Distance learning; Education; Neural networks; System testing; Test pattern generators;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in Education Conference, 1999. FIE '99. 29th Annual
Conference_Location
San Juan, Puerto Rico
ISSN
0190-5848
Print_ISBN
0-7803-5643-8
Type
conf
DOI
10.1109/FIE.1999.839258
Filename
839258
Link To Document