Research Article
Delta AI: Tailored Learning, Empowered by Adaptation
@INPROCEEDINGS{10.4108/eai.1-5-2025.2361378, author={Deena Al-Ghailani and Lilibeth Reales and Imran Ahmed and Afra Al Hadhrami}, title={Delta AI: Tailored Learning, Empowered by Adaptation}, proceedings={Proceedings of the 7th MEC Student Research Conference on Artificial Intelligence and Cyber Security, MECSRC 2025, 01 May 2025, Muscat, Oman}, publisher={EAI}, proceedings_a={MECSRC}, year={2026}, month={3}, keywords={artificial intelligence adaptive learning educational technology firebase machine learning personalized education supabase student analytics web application development}, doi={10.4108/eai.1-5-2025.2361378} }- Deena Al-Ghailani
Lilibeth Reales
Imran Ahmed
Afra Al Hadhrami
Year: 2026
Delta AI: Tailored Learning, Empowered by Adaptation
MECSRC
EAI
DOI: 10.4108/eai.1-5-2025.2361378
Abstract
This paper presents Delta AI, a data-driven, adaptive learning platform designed to personalize educational experiences using artificial intelligence. The system integrates machine learning algorithms with web-based technologies to assess individual learning patterns and deliver customized academic content. Delta AI leverages Firebase for secure authentication and Supabase for scalable data storage, enabling real-time performance tracking and personalized content recommendations. The platform also addresses key ethical considerations such as bias, transparency, and data privacy. By bridging the gap between traditional instruction and personalized digital learning, Delta AI contributes to the evolution of educational technology and learner engagement strategies.
