Towards Interval Techniques for Processing Educational Data

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...

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Bibliographic Details
Published in:	12th GAMM - IMACS International Symposium on Scientific Computing, Computer Arithmetic and Validated Numerics (SCAN 2006) p. 28
Main Authors:	Kosheleva, Olga, Kreinovich, Vladik, Longpre, Luc, Tschoshanov, Mourat, Xiang, Gang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-09-2006
Subjects:	Computer science Computer science education Distributed computing Geoscience NASA Particle measurements Statistical analysis Testing
Online Access:	Get full text
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Summary:	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.
DOI:	10.1109/SCAN.2006.46