Prediction of desertion and success in students. Case study: agroindustrial engineering of UNI norte, Nicaragua, 2011-2015

Authors

  • L. M. Dicovskiy Riobóo
  • M. E. Pedroza Pacheco

DOI:

https://doi.org/10.5377/nexo.v31i01.6451

Keywords:

Multivariate, Discriminant, Desertion, Success, Agroindustrial engineering.

Abstract

Univariate and multivariate statistics were used to look for patterns of academic performance that would allow early prediction of dropout and success at the end of the career in 7 generations of university students of agro-industrial engineering at the UNI North Campus, Nicaragua. By means of the discriminant analysis, the score academic of the first semester of first year of the race, allowed to classify the students that arrive to fifth year of successful form or not, with a high level of success, 79%. Mathematics first and then chemistry were the most important subjects to predict success or failure in the final race.

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Published

2018-08-23

How to Cite

Dicovskiy Riobóo, L. M., & Pedroza Pacheco, M. E. (2018). Prediction of desertion and success in students. Case study: agroindustrial engineering of UNI norte, Nicaragua, 2011-2015. Nexo Scientific Journal, 31(01), 16–27. https://doi.org/10.5377/nexo.v31i01.6451

Issue

Vol. 31 No. 01 (2018)

Section

Articles

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