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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

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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.