Predicting the Academic Performance of Middle- and High-School Students Using Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Predicting the Academic Performance of Middle- and High-School Students Using Machine Learning Algorithms

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Rajendran Suchithra,Sinha Akhouri,Rajendran Chamundeswari

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference74 articles.

1. Religion, age, education, lifestyle, and health: structural equation modeling;G A Abdala;Journal of religion and health,2021

2. A Cluster Analysis of Lifestyle and Health Habits of Youth from Two Geographically and Culturally Diverse Countries;J Allen;Research in Higher Education,2008

3. Stress factors impacting the academic performance of Saudi students studying in the US: A study of student perceptions;F Alsharari;International Journal of Social Science and Business,2019

4. Students' academic Performance and Dropout Prediction;A O Ameen;Malaysian Journal of Computing,2019

5. Mining educational data to predict student's academic performance using ensemble methods;E A Amrieh;International Journal of Database Theory and Application,2016

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