Prediction of Online Students Performance by Means of Genetic Programming-Reference-Cited by-同舟云学术

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Prediction of Online Students Performance by Means of Genetic Programming

Published:2018-09-25 Issue:9-10 Volume:32 Page:858-881
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Ulloa-Cazarez Rosa Leonor¹^ORCID,López-Martín Cuauhtémoc²^ORCID,Abran Alain³^ORCID,Yáñez-Márquez Cornelio⁴^ORCID

Affiliation:

1. Sistema de Universidad Virtual-Universidad de Guadalajara, Guadalajara, México

2. Department of Information Systems - Universidad de Guadalajara, Zapopan, México

3. Department of Software and Information Technologies Engineering, École de Technologie Supérieure-Université du Québec, Montréal, Canada

4. Centro de Investigación en Computación - Instituto Politécnico Nacional, Ciudad de México, México

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2018.1508839

Reference54 articles.

1. A new indicator for higher education student performance

2. Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning

3. Performance indicators in online distance learning courses: a study of management education

4. An analysis of the determinants of students’ performance in e-learning

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1. A New Integer Model for Selecting Students at Higher Education Institutions: Preparatory Classes of Engineers as Case Study;Information;2024-09-02

2. Educational data mining to predict students' academic performance: A survey study;Education and Information Technologies;2022-07-09

3. Accuracy comparison between statistical and computational classifiers applied for predicting student performance in online higher education;Education and Information Technologies;2022-05-17

4. Grade Prediction in Blended Learning Using Multisource Data;Scientific Programming;2021-09-11

5. Predicting Learning Behavior Using Log Data in Blended Teaching;Scientific Programming;2021-08-20

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