Towards Interval Techniques for Processing Educational Data

Authors

Olga Kosheleva, The University of Texas at El PasoFollow
Vladik Kreinovich, The University of Texas at El PasoFollow
Luc Longpre, The University of Texas at El PasoFollow
Mourat Tchoshanov, The University of Texas at El PasoFollow
Gang Xiang

Publication Date

4-2007

Comments

UTEP-CS-05-25c.

Published in IEEE Proceedings of the 12th GAMM-IMACS International Symposium on Scientific Computing, Computer Arithmetic and Validated Numerics, Duisburg, Germany, September 26-29, 2006.

Abstract

There are many papers that experimentally compare effectiveness of different teaching techniques. Most of these papers use traditional statistical approach to process the experimental results. The traditional statistical approach is well suited to numerical data but often, what we are processing is intervals (e.g., A means anything from 90 to 100). We show that the use of interval techniques leads to more adequate processing of educational data.