Use of machine learning to assess factors affecting progression, retention, and graduation in first-year health professions students in Qatar: a longitudinal study
D Hammoudi Halat, ASG Abdel-Salam, A Bensaid… - BMC Medical …, 2023 - Springer
Background Across higher education, student retention, progression, and graduation are
considered essential elements of students' academic success. However, there is scarce …
considered essential elements of students' academic success. However, there is scarce …
Enhancing adult learner success in higher education through decision tree models: A machine learning approach
This article explores the use of machine learning, specifically Classification and Regression
Trees (CART), to address the unique challenges faced by adult learners in higher education …
Trees (CART), to address the unique challenges faced by adult learners in higher education …
Optimizing Multi-Class Classification in Educational Data with Ensemble Learning and Data Balancing Techniques
MF Al-Hammouri, ZAA Hammouri… - … on Intelligent Data …, 2024 - ieeexplore.ieee.org
The field of education is increasingly embracing AI tools to improve student outcomes. This
work aims to reduce academic failure in higher education by employing machine learning …
work aims to reduce academic failure in higher education by employing machine learning …
The Intersectionality of Trauma-Informed Leadership and Staff Retention in Higher Education
AR McGuire - 2024 - search.proquest.com
This study addresses the persistent challenge of student retention in higher education by
investigating the often-neglected role of staff in shaping student belonging and success, with …
investigating the often-neglected role of staff in shaping student belonging and success, with …