Processing Educational Data: From Traditional Statistical Techniques to an Appropriate Combination of Probabilistic, Interval, and Fuzzy Approaches

Authors

Olga Kosheleva, The University of Texas at El PasoFollow
Martine Ceberio, The University of Texas at El PasoFollow

Publication Date

7-2005

Comments

UTEP-CS-05-25.

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 either intervals (e.g., A means anything from 90 to 100) or fuzzy-type perceptions, words from the natural language like "understood well" or "understood reasonably well". We show that the use of intervals and fuzzy techniques leads to more adequate processing of educational data.