Title :
An application of artificial intelligence to distance education
Author_Institution :
Dept. of Comput. Sci., Texas Univ., Tyler, TX, USA
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;
Conference_Titel :
Frontiers in Education Conference, 1999. FIE '99. 29th Annual
Conference_Location :
San Juan, Puerto Rico
Print_ISBN :
0-7803-5643-8
DOI :
10.1109/FIE.1999.839258
