DocumentCode
2682656
Title
Optimization Techniques under Uncertain Criteria, and Their Possible Use in Computerized Education
Author
Aló, Richard ; Kosheleva, Olga
Author_Institution
Center for Comput. Sci. & Adv. Distributed Simulation, Houston Univ., TX
fYear
2006
fDate
3-6 June 2006
Firstpage
593
Lastpage
598
Abstract
The existing successful automated computerized systems more or less simulate the way successful human teachers teach. However, computerized systems provide more individualized options that traditional classroom education, and it is desirable to use this additional freedom to further improve the education success rate. In this papers, we briefly overview the experience of a successful Russian training system, and explain how general techniques of optimization under uncertainty can be used to optimize the content development
Keywords
educational computing; optimisation; teaching; training; Russian training system; automated computerized systems; computerized education; optimization techniques; Birds; Computational modeling; Computer science education; Computer simulation; Distributed computing; Educational institutions; History; Humans; Testing; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2006. NAFIPS 2006. Annual meeting of the North American
Conference_Location
Montreal, Que.
Print_ISBN
1-4244-0362-6
Electronic_ISBN
1-4244-0363-4
Type
conf
DOI
10.1109/NAFIPS.2006.365476
Filename
4216869
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