INTEGRATING ARTIFICIAL INTELLIGENCE AND CLOUD COMPUTING FOR THE DEVELOPMENT OF A SMART EDUCATION MANAGEMENT PLATFORM: DESIGN, IMPLEMENTATION, AND PERFORMANCE ANALYSIS

Abstract

A novel approach to contemporary educational administration is offered by this
research, which describes the architecture and deployment of a smart education management
platform that combines cloud computing with artificial intelligence (AI). AI improves educational
services through intelligent automation and tailored learning, and the platform, which makes use
of cloud computing, guarantees scalable and effective data management. The system is designed
using a service-oriented architecture (SOA) and is implemented in a Hadoop-managed server
cluster environment, offering powerful processing and data storage features. Efficient
management of educational resources and smooth remote learning are made possible by the
platform's support for large data access and high concurrency. Stress tests show that even with a
heavy load, the platform can accommodate many users and data transactions at once and still
function reliably. Furthermore, AI-powered features like recommendation engines and predictive
analytics help create a more flexible and user-focused learning environment. This platform's
scalable, effective, and intelligent solution for educational institutions is demonstrated by its
successful implementation and testing, which also highlights its potential to completely transform
the management and delivery of educational services.