ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.060
Improve the Performance of Students in the Mathematics Learning through Bayesian Model
Abstract— This paper shows the use of data mining techniques and math tools software as a supplementary
educational resource in the understanding of mathematics. The performance process of mathematics in the
first and third level of Computer Science and Electronics has used these data mining techniques and math
tools as part of a formation process. Mathematics is fundamental in the formation process of educating the
future professionals. Students from experimental groups used together with the teacher the Wolfram
Mathematica software. The Bayesian model showed the prediction of the approval rate of the students. Part
of the experience in this research was also getting the perception from students through a survey. As a result,
we determined the need of this math package as a supplementary educational resource, which supports the
capacity of calculus, and the interpretation of the non-trivial problems.
Index Terms— data mining; wolfram software; bayesian model; education
Luis Barba-Guamán, Priscila Valdiviezo-Díaz
Universidad Técnica Particular de Loja, ECUADOR
Cite: Luis Barba-Guamán, Priscila Valdiviezo-Díaz, "Improve the Performance of Students in the Mathematics Learning through Bayesian Model," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 349-354, Beijing, 25-27 June, 2017.