Machine Learning Methods in Student Mental Health Research: An Ethics-Centered Systematic Literature Review

Machine Learning Methods in Student Mental Health Research: An Ethics-Centered Systematic Literature Review

This study conducts an ethics-centered analysis of the AI/ML models used in Student Mental Health (SMH) research, considering the ethical principles of fairness, privacy, transparency, and interpretability. First, this paper surveys the AI/ML methods used in the extant SMH literature published betwe...

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Bibliographic Details
Main Authors: Mohamed Drira, Sana Ben Hassine, Michael Zhang, Steven Smith
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
student mental health
artificial intelligence
machine learning
LDA
ethic
systematic review
Online Access:https://www.mdpi.com/2076-3417/14/24/11738
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