Multilinear Educational Data Analysis for Evaluation of Engineering Education

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.