Analyzing the influence of demographic attributes on student performance in an introduction to programming discipline

• André Pereira UFAM
• Leandro Carvalho UFAM
• Eduardo Souto UFAM

DOI: https://doi.org/10.5753/wei.2019.6642

Abstract

The low student performance in CS0 courses is a common scenario in undergraduate programs in science and engineering. External factors to the academic environment are as decisive in relation of these students results as the inherent aspects of the learning process. Based on the application of educational data mining techniques on the data of a Brazilian higher education institution, the student performance in a CS0 course for non-majors was observed to be correlated to previous socioeconomic and educational characteristics or to a subset created from the combination of these attributes. In its turn, the early identification of students at risk of failure can help to mitigate dropout in CS0 course.

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