Análise Multilinear de Dados Educacionais para Avaliação no Ensino de Engenharia (Multilinear Educational Data Analysis for Evaluation of Engineering Education)

Francisco Herbert Lima Vasconcelos (, Thomaz Edson Veloso da Silva (, João Cesar Moura Mota (

1Universidade Federal do Ceará

This paper appears in: Revista IEEE América Latina

Publication Date: Aug. 2015
Volume: 13,   Issue: 8 
ISSN: 1548-0992

In this paper, we present a research study of educational evaluation in an engineering undergraduate degree. A multilinear decomposition, called Parallel Factors Analysis (PARAFAC), was used to extract intrinsic information about twokinds of evaluation: Learning Outcomes (LO) and Learning Context (LC). The results obtained allow us to identify common characteristics and similarities in disciplines in the undergraduate degree curriculum, both in terms of students' opinion and students' performance. The PARAFAC model also demonstrated significant potential for extracting data information related latent variables in educational contexts considering the sample multidimensionality.

Index Terms:
Educational Evaluation, Learning Outcomes, Learning Context, Multilinear Analysis, PARAFAC   

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