Mr.Vamshi Bharath Munagandla

Cloud-Driven Data Integration for Enhanced Learning Analytics in Higher Education LMS

Abstract:

The rapidly evolving landscape of higher education demands robust data integration frameworks to support Learning Management Systems (LMS) in delivering personalized and adaptive learning experiences. This presentation, "Cloud-Driven Data Integration for Enhanced Learning Analytics in Higher Education LMS," explores the transformative potential of cloud-based technologies in unifying disparate educational data sources to enable advanced learning analytics.

By leveraging cloud computing, data integration, and machine learning technologies, institutions can streamline data processing, improve scalability, and generate actionable insights to enhance student engagement and academic success. The presentation highlights best practices for integrating LMS platforms such as Canvas, Blackboard, and Coursera with institutional data systems, ensuring seamless interoperability and real-time data synchronization.

Key topics include:

• The role of cloud-driven integration in overcoming data silos in higher education.
• Advanced analytics powered by machine learning to predict and improve student outcomes.
• Case studies showcasing successful implementations of cloud-based LMS integrations.
• Challenges and opportunities in adopting cloud technologies for learning analytics.

This session aims to provide stakeholders with actionable strategies to harness cloud-driven data integration, fostering a data-driven culture that enhances institutional effectiveness and student learning experiences.