IoT for Smart Learning/Education

Internet of Things, has opened many new possibilities in the world of technology. The interconnection among sensors, wearables, mobile devices, etc. is used to collect data. The collected data is processed and analyzed on fog and cloud through various algorithms to obtain an efficient solution to di...

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Bibliographic Details
Published in:	2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) pp. 1 - 7
Main Authors:	Shrestha, Sabin Kaji, Furqan, Fatima
Format:	Conference Proceeding
Language:	English
Published:	IEEE 25-11-2020
Subjects:	COVID-19 distance education Education facial recognition Industries Intelligent sensors Internet of Things Learning systems Machine learning RFID sensor devices smart campus smart learning
Online Access:	Get full text
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Summary:	Internet of Things, has opened many new possibilities in the world of technology. The interconnection among sensors, wearables, mobile devices, etc. is used to collect data. The collected data is processed and analyzed on fog and cloud through various algorithms to obtain an efficient solution to diverse problems. IoT has a wide range of spectrum for its implementation, and several industries have already started deploying a smart and efficient ecosystem. The Education sector is among these industries. There are many implementations of IoT for Smart Learning such as the use of smart boards in the classrooms, mobile applications allowing impromptu access to learning resources anywhere. These advancements are only the tip of the iceberg. The network of smart things can be utilized to make the learning process even smarter and more efficient. Even though the classes are equipped with smart devices, it is hard for educators to attend each student individually and find out the areas where they are facing problems, as every individual has a different learning pattern. Keeping track of the students and to assist them individually requires a lot of time and effort. The level of difficulty increases further when face-to-face learning is switched to online learning. The research focuses on enhancing the online learning and teaching experience through the implementation of IoT using available devices, sensors, and other technologies such as machine learning and artificial intelligence.
DOI:	10.1109/CITISIA50690.2020.9371774