Assessing the evolution of learning capabilities and disorders with a graphical exploratory analysis of surveys containing missing and conflicting answers

Title:

Assessing the evolution of learning capabilities and disorders with a graphical exploratory analysis of surveys containing missing and conflicting answers

Creator:

Sánchez , Luciano, Couso , Inés, Otero , José , and Palacios , Ana

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:7c640657-0a1e-49cd-8c17-240d18ba28da
uuid:7c640657-0a1e-49cd-8c17-240d18ba28da

Subject:

Knowledge surveys, graphical exploratory analysis, multidimensional scaling, and fuzzy fitness-based genetic algorithms

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The analysis of the evolution of learning with graphical maps is based on the placement of the individuals in positions that are computed on the basis of their answers to certain tests. These techniques are useful for detecting similarities between the knowledge profiles of the subjects and can also be used for assessing the acquisition of capabilities after a course. In this paper, we propose to extend some graphical exploratory analysis techniques to the case where there are missing or conflicting answers in the tests. We will also consider that either a missing or unknown answer, or a set of conflictive answers to a survey, is aptly represented by an interval or a fuzzy set. This representation causes that each individual in the map is no longer a point but a figure whose shape and size determine the coherence of the answers and whose position with respect to its neighbors determines the similarities and differences between the individuals.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2010 Volume:20 | Number:7

Harvested from:

CDK

Metadata only:

false