Artificial intelligence and new technologies in inclusive education for minority students: a systematic review

SZ Salas-Pilco, K ** study
N Pham, PN Hung, A Nguyen-Duc - Journal of Systems and Software, 2024 - Elsevier
The integration of machine learning (ML) systems into various sectors, notably education,
has great potential to transform business workflows and decision-making processes …

Is it time we get real? A systematic review of the potential of data-driven technologies to address teachers' implicit biases

A Gauthier, S Rizvi, M Cukurova… - Frontiers in Artificial …, 2022 - frontiersin.org
Data-driven technologies for education, such as artificial intelligence in education (AIEd)
systems, learning analytics dashboards, open learner models, and other applications, are …

Learning Analytics: A Comparison of Western, Educated, Industrialized, Rich, and Democratic (WEIRD) and Non-WEIRD Research.

C Baek, T Doleck - Knowledge Management & E-Learning, 2024 - ERIC
We examined how Learning Analytics literature represents participants from diverse
societies by comparing the studies published with samples from WEIRD (Western …

Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability

K Yang, M Raković, Y Li, Q Guan, D Gašević… - Proceedings of the …, 2024 - ojs.aaai.org
Automatic Essay Scoring (AES) is a well-established educational pursuit that employs
machine learning to evaluate student-authored essays. While much effort has been made in …

[HTML][HTML] Latent space bias mitigation for predicting at-risk students

A Al-Zawqari, D Peumans, G Vandersteen - Computers and Education …, 2024 - Elsevier
Researchers have observed the relationship between educational achievements and
students' demographic characteristics in physical classroom-based learning. In the context …

Towards an Operational Responsible AI Framework for Learning Analytics in Higher Education

AM Tirado, P Mulholland, M Fernandez - arxiv preprint arxiv:2410.05827, 2024 - arxiv.org
Universities are increasingly adopting data-driven strategies to enhance student success,
with AI applications like Learning Analytics (LA) and Predictive Learning Analytics (PLA) …