A UAE higher education institution with 12,000 students needed to replace a decade-old Moodle installation with a modern AI-native learning platform — featuring adaptive learning paths, Arabic-first UX, and real-time academic performance analytics for faculty.
This UAE-based university operates across three campuses serving 12,000 undergraduate and postgraduate students across engineering, business, and technology disciplines. Their existing Moodle LMS had a 23% weekly active usage rate among students — indicating widespread disengagement — and generated no meaningful analytics for faculty to identify at-risk students before examination failure.
The institution was losing students to attrition at a rate significantly above sector benchmarks. Exit surveys consistently identified two factors: feeling lost in large lecture cohorts without personalized support, and not knowing they were failing a module until it was too late to recover. The platform needed to solve both — while functioning bilingually in Arabic and English, integrating with the existing student information system (Banner), and running within UAE data sovereignty requirements.
We designed a platform that learns alongside the student — adapting content difficulty, pacing, and support interventions based on individual performance signals.
AI model that adjusts content sequencing and difficulty in real time based on assessment performance, time-on-task, and engagement signals — creating a genuinely individualized learning pathway for each student.
Predictive model that identifies at-risk students 6 weeks before examination failure — with 89% precision — enabling faculty to intervene proactively with targeted support.
React Native app with offline lecture access, interactive assessments, study group collaboration, assignment submission, and grade tracking — available in Arabic and English with full RTL support.
Real-time cohort performance visualization: engagement heatmaps by content block, assessment difficulty calibration, at-risk student alerts, and comparative cohort analytics across campuses.
Real-time bi-directional sync with Ellucian Banner — enrollment, grade submission, and academic transcript management fully automated.
Personalized study resource recommendations based on assessment gaps — surfaces the specific Khan Academy videos, past exam questions, and supplementary readings most relevant to each student's identified weaknesses.
The early warning system changed how our faculty operate. Instead of discovering a student has failed at the end of semester, they know six weeks out. Three of our departments have completely redesigned their intervention protocols around this data. The platform has transformed what personalized education means at scale.
Prof. Aisha Al-Zarouni VP Academic Affairs · Gulf University of Technology (Anonymized)