Fair and Transparent Student Admission Prediction Using Machine Learning Models

G Raftopoulos, G Davrazos, S Kotsiantis - Algorithms, 2024 - search.proquest.com
Student admission prediction is a crucial aspect of academic planning, offering insights into
enrollment trends, resource allocation, and institutional growth. However, traditional …

Trading off performance and human oversight in algorithmic policy: evidence from Danish college admissions

ML Nielsen, JS Raaschou-Pedersen… - arXiv preprint arXiv …, 2024 - arxiv.org
Student dropout is a significant concern for educational institutions due to its social and
economic impact, driving the need for risk prediction systems to identify at-risk students …

An Analysis of Learning Analytics Approaches for Course Evaluation

BTM Wong, KC Li, M Liu - International Conference on Blended Learning, 2024 - Springer
Course evaluation plays a crucial role in analysing the effectiveness of a course. Despite the
emerging trend of applying learning analytics approaches to course evaluation, only limited …

Prediction of At-Risk Students Using Learning Analytics: A Literature Review

KC Li, BTM Wong, HT Chan - International Conference on Technology in …, 2023 - Springer
Early identification of at-risk students has been recognised as being of the utmost
importance for the provision of timely support. Despite the prevalent use of learning analytics …

Check for An Analysis of Learning Analytics Approaches for Course Evaluation Billy TM Wong (), Kam Cheong Li, and Mengjin Liu Hong Kong Metropolitan University …

BTM Wong, KC Li, M Liu - … , ICBL 2024, Macao SAR, China, July …, 2024 - books.google.com
Course evaluation plays a crucial role in analysing the effectiveness of a course. Despite the
emerging trend of applying learning analytics approaches to course evaluation, only limited …

Application of New Technologies in Social Media Analytics: Enhancing User Engagement at Global Universities

M Poturak, E Obucic, D Keco, E Mekic - International Conference “New …, 2024 - Springer
Objective: Based on new technologies in Social Media Predictive Analytics Theory in the
Higher Education Institutions (HEIs) context, this study aims to predict user engagement in …