EVENT-DRIVEN ARCHITECTURES IN LEARNING SYSTEMS: TURNING DATA INTO ACTIONABLE INSIGHTS

Authors

  • Shatrughna Upadhyay Arizona State University, AZ, USA Author

Keywords:

Event-Driven Architecture, Learning Management Systems, Educational Technology, Real-time Analytics, Adaptive Learning.

Abstract

Event-Driven Architecture (EDA) has emerged as a transformative solution for modern learning management systems, addressing the challenges of scalability, real-time responsiveness, and data-driven decision-making in educational technology. This comprehensive article explores the fundamental principles of EDA in learning environments, examining its core components, benefits, and practical applications. It investigates how EDA facilitates real-time analytics, adaptive learning implementation, and automated response systems while maintaining data consistency and system performance. Through an examination of current implementation challenges and their solutions, the article provides insights into best practices for EDA deployment in educational contexts. It extends to future perspectives, particularly focusing on the integration of artificial intelligence, machine learning, and advanced analytics capabilities with event-driven architectures. By demonstrating how EDA enables educational institutions to process and respond to events in real-time while maintaining system scalability and reliability, this article establishes the critical role of event-driven architectures in shaping the future of educational technology

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Published

2025-02-17

How to Cite

Shatrughna Upadhyay. (2025). EVENT-DRIVEN ARCHITECTURES IN LEARNING SYSTEMS: TURNING DATA INTO ACTIONABLE INSIGHTS. INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (IJRCAIT), 8(1), 2668-2689. https://ijrcait.com/index.php/home/article/view/IJRCAIT_08_01_193