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Learning from Digital Sources for Quick Learning

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Artificial Intelligence, Internet of Things, and Society 5.0

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1113))

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Abstract

The research discusses the learning through Digital Sources in today’s era. Now a days where people believe in personal spacing, where people are highly conscious to go out freely, they have started preferring learning using Digital sources. We conducted gender wise assessment, age wise assessment and education level wise assessment. The study shows the female higher inclination towards learning using Digital Sources, age of 22–25 using more digital sources and mostly Post graduate students preferring digital sources of learning. This might be of the reason to avail big university’s learning taken while sitting in a comfort zone. This also might be because of geographical limitation of the users.

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Correspondence to Charul Jain .

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Tomar, A.S., Gupta, B., Jain, C., Jain, A. (2023). Learning from Digital Sources for Quick Learning. In: Hannoon, A., Mahmood, A. (eds) Artificial Intelligence, Internet of Things, and Society 5.0. Studies in Computational Intelligence, vol 1113. Springer, Cham. https://doi.org/10.1007/978-3-031-43300-9_28

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