A PROBABILISTIC APPROACH APPLIED TO THE CLASSIFICATION OF COURSES BY MULTIPLE EVALUATORS
AUTOR(ES)
Sant’Anna, Annibal Parracho, Costa, Helder Gomes, Nepomuceno, Lívia Dias de Oliveira, Pereira, Valdecy
FONTE
Pesqui. Oper.
DATA DE PUBLICAÇÃO
2016-12
RESUMO
ABSTRACT How to measure the perceived influence of a course on its alumni skills? This paper describes the use of CPP-TRI as a tool to face this problem. The method was applied here in the context of a M.Sc. course evaluation. Levels of impact and importance previously determined for different features provide the framework for the analysis. Classifications by different groups of evaluators are combined. Taking into account the subjectivity in the assessments, CPP-TRI treats them as realizations of random variables. The combination of the evaluations is performed by computing joint probabilities, what avoids the assignment of weights to evaluators. Interval classifications between a hostile and a benevolent limit are provided offerings the educational evaluator a deeper understanding of the results. An additional study is here performed on the classification of the features. A total of sixteen features are sorted.
Documentos Relacionados
- A Probabilistic Approach to Cooperativity of Ligand Binding by a Polyvalent Molecule
- A PROBABILISTIC APPROACH TO THE INEQUALITY ADJUSTMENT OF THE HUMAN DEVELOPMENT INDEX
- A novel approach based on multiple criteria decision aiding methods to cope with classification problems
- The plethysm technique applied to the classification of nuclear states
- An approach to the multiple-minima problem by relaxing dimensionality.