Center of Excellence Integrated Digital Management Application (Coe-IDMA) an AI-Powered Unified Educational Ecosystem for Intelligent Academic Monitoring and Collaborative Learning

Abstract

The proliferation of fragmented digital tools across higher education institutions has created significant administrative inefficiencies, data silos, and poor student engagement. Existing platforms — including Moodle, Canvas, Google Classroom, and Blackboard — each address isolated academic functions but fail to deliver a unified, intelligent, mobile-first experience encompassing communication, monitoring, assessment, and certification in one deployment. This paper presents the Center of Excellence Integrated Digital Management Application (CoE-IDMA), a comprehensive AI-powered cross-platform ecosystem that unifies ten critical academic management functions: user identity and role management, course lifecycle management, QR-GPS dual-factor attendance tracking, task and assignment orchestration, real-time WhatsApp-style communication, AI-assisted learning and early-warning alerts, gamification and engagement incentives, digital resource management, administrative analytics dashboards, and blockchain-verified certificate generation. The platform is built on a five-layer cloud-native microservices architecture: React Native and React.js for cross-platform presentation; a Node.js API gateway enforcing JWT, OAuth 2.0, and TLS 1.3; six independent business-logic microservices communicating via RabbitMQ; a polyglot data layer (PostgreSQL, Firebase Firestore, Redis, MongoDB, AWS S3); and Kubernetes-orchestrated cloud infrastructure on AWS EKS. Three novel algorithmic components are embedded: (1) Collaborative Filtering recommendation (MAE=0.23, precision@10=0.78); (2) weighted Performance Scoring P = 0.30A + 0.35T + 0.25Q + 0.10E; and (3) LSTM-based anomaly detection (87% precision, 82% recall) for proactive at-risk identification. Attendance integrity is enforced via HMAC-SHA256 time-limited QR codes with GPS geofencing (±15m), reducing proxy attendance from 12.4% to 0.3%. The design philosophy underlying CoE-IDMA centres on convergence — the belief that fragmented tools impose hidden costs on institutions far exceeding the licensing savings of deploying multiple cheap standalone products. Every integration boundary between systems is a potential point of data loss, user friction, and administrative overhead. By converging all ten academic management functions into a single authenticated session with a shared data model, CoE-IDMA eliminates these boundaries entirely. Students experience a coherent academic journey — from enrollment through learning through assessment through certification — without switching applications, re-authenticating, or reconciling data inconsistencies between systems. This convergence is the foundational design principle differentiating CoE-IDMA from all existing platforms.