A review of clustering models in educational data science toward fairness-aware learning

T Le Quy, G Friege, E Ntoutsi - … Proactive education based on empirical big …, 2023 - Springer
Ensuring fair access to quality education is essential for every education system to fully
realize every student's potential. Nowadays, machine learning (ML) is transforming …

Ink and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing

K Yang, Y Cheng, L Zhao, M Raković, Z Swiecki… - arXiv preprint arXiv …, 2024 - arxiv.org
The advent of Generative Artificial Intelligence (GAI) has revolutionized the field of writing,
marking a shift towards human-AI collaborative writing in education. However, the dynamics …

[HTML][HTML] SMFSOP: A semantic-based modelling framework for student outcome prediction

YMI Hassan, A Elkorany, K Wassif - … of King Saud University-Computer and …, 2023 - Elsevier
Over the past two decades, studying the various factors affecting student performance
became essential. Knowing these factors assist in enhancing student's performance …

Fairness-aware Machine Learning in Educational Data Mining

T Le Quy - 2024 - repo.uni-hannover.de
Fairness is an essential requirement of every educational system, which is reflected in a
variety of educational activities. With the extensive use of Artificial Intelligence (AI) and …

Real-Time Grade Prediction for Students Using Machine Learning

T Alshomari, C Verma - … of International Conference on Recent Innovations …, 2023 - Springer
One of the most crucial aspects is predicting students' performance in the educational
domains such as schools and universities, because it aids in the creation of effective …

Análisis predictivo exploratorio para determinar la pertinencia de programas de educación superior a partir de la oferta académica nacional

BME Perea, VI López-Ríos… - Revista Ibérica de …, 2023 - search.proquest.com
The data is obtained from the National Higher Education Information System, which contains
the records of the academic programs offered in the country. The results allow us to identify …

Exploring the role of machine learning in forecasting student performance in education: An in-depth review of literature

BR Pandian, AA Aziz, H Subramaniam… - Multidisciplinary …, 2023 - malque.pub
The literature on the role of machine learning in forecasting student performance in
education lacks comprehensive data quality, equitable and interpretable models …

[引用][C] A University Student Dropout Detector based on Academic Data-A case study at FPT University

QH Ngô, NM Trịnh - 2023 - FPTU Hà Nội