Contributions of Machine Learning Models towards Student Academic Performance Prediction: A Systematic Review
Machine learning is emerging nowadays as an important tool for decision support in many areas of research. In the field of education, both educational organizations and students are the target beneficiaries. It facilitates the educational sector in predicting the student’s outcome at the end of thei...
Enregistré dans:
Auteurs principaux: | Prasanalakshmi Balaji, Salem Alelyani, Ayman Qahmash, Mohamed Mohana |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/78d78c1c25a046559407ed1e40ccea1e |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Machine learning for carbon stock prediction in a tropical forest in Southeastern Brazil
par: Dantas,Daniel, et autres
Publié: (2021) -
Machine Learning Techniques in the Energy Consumption of Buildings: A Systematic Literature Review Using Text Mining and Bibliometric Analysis
par: Ahmed Abdelaziz, et autres
Publié: (2021) -
Machine Learning in Chemical Engineering: Strengths, Weaknesses, Opportunities, and Threats
par: Maarten R. Dobbelaere, et autres
Publié: (2021) -
Carrot Sorting Based on Shape using Image Processing, Artificial Neural Network, and Support Vector Machine
par: A Jahanbakhshi, et autres
Publié: (2019) -
Machine Learning for Head and Neck Cancer: A Safe Bet?—A Clinically Oriented Systematic Review for the Radiation Oncologist
par: Stefania Volpe, et autres
Publié: (2021)