Methodology for Obtaining a Predictive Model Academic Performance of Students from First Partial Note and Percentage of Absence

Amelec Viloria  and Alexander Parody

doi:10.17485/ijst/2016/v9i46/107369

Article

Methodology for Obtaining a Predictive Model Academic Performance of Students from First Partial Note and Percentage of Absence

VIEWS 862
PDF 212

Abstract
Full-Text HTML
Full-Text PDF
How to Cite

Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i46/107369

Year: 2016, Volume: 9, Issue: 46, Pages: 1-5

Original Article

Methodology for Obtaining a Predictive Model Academic Performance of Students from First Partial Note and Percentage of Absence

Amelec Viloria¹ and Alexander Parody²

¹Universidad de la Costa, Barranquilla, Colombia; [email protected] ²Universidad Autonoma del Caribe, Barranquilla, Colombia; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objectives: This study presents the methodology for a model of multiple linear regression to assess the impact of the first partial grade and the percentage of non - attendance in the final grade students. Methods/Statistical Analysis: Descriptive Statistics and Inferential a program Industrial engineering a university in Colombia. Findings: After the generation and validation of the model was obtained that it explains 83.38% of the variability of the final grade students analyzed (134 students), and this significantly high percentage as a tool to determine the outcome of a student and generate recovery strategies those with a very low projection in its final note, it should be noted that the model was rigorously validated statistically. Application/Improvements: This methodology is proposed as a model for similar studies in other institutions.

Keywords: College Dropout, Multiple Linear Regression, Prediction