Smart Education Using Internet of Things Technology
2019, Advances in Data Mining and Database Management
https://doi.org/10.4018/978-1-5225-8446-9.CH017…
3 pages
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Abstract
Smart education is now a typical feature in education emerging from information communications technologies (ICT) and the constant introduction of new technologies into institutional learning. The smart classroom aims users to develop skills, adapt, and use technologies in a learning context that produces elevated learning outcomes which leads to big data. The internet of things (IoT) is a new technology in which objects equipped with sensors, actuators, and processors communicate with each other to serve a meaningful purpose. The technologies are rapidly changing, and designing for these situations can be complex. Designing the IoT applications is a challenging issue. The existing standardization activities are often redundant IoT development. The reference architecture provides a solution to smart education for redundant design activities. The purpose of this chapter is to look at the requirements and architectures required for smart education. It is proposed to design a scalable ...
Key takeaways
AI
AI
- The chapter examines the requirements and architectures for implementing smart education using IoT technology.
- IoT enhances e-Learning by enabling data capture from various devices, leading to improved educational outcomes.
- Big data integration is essential for managing structured and unstructured data in smart education environments.
- Electronic learning platforms benefit from the increased engagement and self-esteem fostered by technology use in education.
- HEIs must adapt to handle the large volumes of learning content generated by IoT devices effectively.
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