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Communication Dans Un Congrès Année : 2017

Regression trees and decision rules applied to the study of perplexity: Issues and methods

Résumé

This paper explores the use of the CRT (Classification and Regression Tree) methodology to analyse data from a fuzzy rating scale-based questionnaire. Based upon a questionnaire to assess the state of perplexity in mathematics undergraduate students, the rule structure obtained from the CRT analysis is reported. We anticipate these findings may be of interest both to evaluate the interplay between cognition and affect as well as to researchers in the Fuzzy Logic field.
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Dates et versions

hal-01936014 , version 1 (27-11-2018)

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  • HAL Id : hal-01936014 , version 1

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Inés Mª Gómez-Chacón, J Tinguaro Rodríguez. Regression trees and decision rules applied to the study of perplexity: Issues and methods. CERME 10, Feb 2017, Dublin, Ireland. ⟨hal-01936014⟩

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CERME10-TWG08
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