Prediction of Online Students Performance by Means of Genetic Programming

Prediction of Online Students Performance by Means of Genetic Programming

Problem: Online higher education (OHE) failure rates reach 40% worldwide. Prediction of student performance at early stages of the course calendar has been proposed as strategy to prevent student failure. Objective: To investigate the application of genetic programming (GP) to predict the final grad...

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Bibliographic Details
Main Authors: Rosa Leonor Ulloa-Cazarez, Cuauhtémoc López-Martín, Alain Abran, Cornelio Yáñez-Márquez
Format: Article
Language:English
Published: Taylor & Francis Group 2018-11-01
Series:Applied Artificial Intelligence
Online Access:http://dx.doi.org/10.1080/08839514.2018.1508839

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