Predictive Learning Analytics: Leveraging Laravel and AI for Enhanced Student Outcomes

As digital education platforms accumulate vast amounts of user interaction data, the challenge shifts from data collection to data intelligence. This article explores the integration of predictive analytics within a Laravel-based environment to identify "at-risk" students before they fail. We discuss the technical implementation of PHP-based machine learning libraries and the use of OJS 3.5 as a peer-reviewed gateway for validating these algorithmic models.