A Conceptual Model to Next-Generation Smart Education Ecosystem

A Conceptual Model to Next-Generation Smart Education Ecosystem

Palanivel Kuppusamy, Suresh Joseph K.
Copyright: © 2021 |Pages: 24
DOI: 10.4018/978-1-7998-7541-3.ch006
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Abstract

Transforming IT systems educational applications has become imperative in a rapidly evolving global scenario. Today, educational organizations have to provide transparent, confident, secured information and quality data for monitoring and advanced predictive capabilities services to society. Educational organizations have to meet these objectives consistently during typical and crisis scenarios. Modern educational applications are integrated with social network sites, sensors, intelligent devices, and cloud platforms. Hence, data management solutions serve as the basis for educational organizations' information needs. However, modern technologies demand a re-engineer of these platforms to meet the ever-growing demand for better performance, scalability, and educational organizations' availability. This chapter discusses the challenges inherent to the existing educational data system, the architectural methods available to address the above challenges, and the roadmap for building next-generation educational data ecosystems.
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Motivation

Today, educational institutions are extensively data-driven, and they need to preserve their data for several years for analysis with business intelligence (BI) tools and modern technologies. Educational institutions need to integrate their tasks with data management strategies, where the data from diverse systems into a central repository.

The educational administrators can conduct testing on these educational data for simulating multiple scenarios. These simulations typically generate a vast volume of (e.g., terabytes or petabytes) of data. Analysis of enormous amounts of data (i.e., structured and unstructured data) is key to assessment and monitoring. Educational institutions can use real-time analytics on the data from video surveillance, Weblog, and social media sites. This real-time analysis help identifies thefts and improves security in learning environments.

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