Abstract:
In the modern educational landscape, Learning Management Systems (LMS) like Moodle are
essential. However, they often lack the tools for providing immediate, personalized support to
students, leading to disengagement and poor performance. This project addresses this gap by
developing two integrated Moodle plugins: the EIRA AI Academic Assistant (Chatbot) and the
Student Performance Predictor. The Student Performance Predictor uses machine learning
algorithms to analyze student activity data, proactively identifying at-risk learners before their
performance declines. This allows educators to make timely, data-driven interventions.
Together, these plugins create a comprehensive educational support system within the Moodle
environment. The system enhances the learning experience by making it more interactive,
responsive, and personalized, ultimately aiming to improve student engagement, retention, and
academic success.
