Towards Interval Techniques for Processing Educational Data

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.