Evaluating and Enhancing Artificial Intelligence Models for Predicting Student Learning Outcomes

Evaluating and Enhancing Artificial Intelligence Models for Predicting Student Learning Outcomes

Predicting student outcomes is an essential task and a central challenge among artificial intelligence-based personalised learning applications. Despite several studies exploring student performance prediction, there is a notable lack of comprehensive and comparative research that methodically evalu...

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Bibliographic Details
Main Authors: Helia Farhood, Ibrahim Joudah, Amin Beheshti, Samuel Muller
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Informatics
Subjects:
student outcome prediction
technologies of information in education
machine learning
deep learning
information and communication technologies in education
AI neural networks
Online Access:https://www.mdpi.com/2227-9709/11/3/46

Internet

https://www.mdpi.com/2227-9709/11/3/46

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