A PROBABILISTIC APPROACH APPLIED TO THE CLASSIFICATION OF COURSES BY MULTIPLE EVALUATORS

• Main Authors: Annibal Parracho Sant’Anna, Helder Gomes Costa, Lívia Dias de Oliveira Nepomuceno, Valdecy Pereira
• Format: Article
• Language: English
• Published: Sociedade Brasileira de Pesquisa Operacional
• Series: Pesquisa Operacional
• Subjects: multi-attribute decision making; educational planning; probabilistic preferences composition
• Online Access: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382016000300469&lng=en&tlng=en

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.