Harnessing Real-Time Data Analytics in Cloud-Based Learning Systems for Performance Enhancement
Keywords:
Real-Time Data Analytics, Cloud-Based Learning Systems, Adaptive Learning, Educational Technology, Data-Driven Education, Performance EnhancementAbstract
The integration of real-time data analytics (RTDA) within cloud-based learning systems (CBLS) has emerged as a transformative approach to enhance student performance and system efficiency. This research explores how RTDA can optimize adaptive learning, personalize educational content, and monitor learner engagement. By analyzing original studies, we identify key trends and challenges, propose a conceptual framework, and evaluate its practical implications. Through case studies and statistical analysis, the findings reveal substantial improvements in learning outcomes, operational scalability, and resource utilization. This paper underscores the potential of RTDA to revolutionize CBLS by enabling data-driven decision-making and fostering dynamic learning environments.
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