Improving Learning Experience and Privacy in Education Using the Power of Big Data and Artificial Intelligence

Usman Javed Butt (), Aristeidis Davelis (), Maysam Abbod (), Caleb Eghan () and Haiiel-Marie Agbo ()
Additional contact information
Usman Javed Butt: Brunel University
Aristeidis Davelis: Northumbria University
Maysam Abbod: Brunel University
Caleb Eghan: Northumbria University
Haiiel-Marie Agbo: Northumbria University

Chapter Chapter 11 in Integrated Business Models in the Digital Age, 2022, pp 371-424 from Springer

Abstract: Abstract Big Data and the various fields of Artificial Intelligence, particularly Machine Learning, are drastically reshaping the educational landscape and learning processes. A dive into the depth of their history, definition, modern state, and practical or potential applications in general and under the context of Education, is the focus of this chapter. The role of these technologies, the benefits of incorporating them in Education, and the problems they address are analysed in detail. Example educational business use case scenarios are presented to enhance and enable tutoring, for students of varying backgrounds and capabilities. Furthermore, challenges in the process of their adoption in Education, as well as necessary preparations and adjustments are discussed. c these challenges and potential issues in not only a technological, but also a sociological context, aims to ensure the biggest benefit from adopting these technologies for students and teachers alike. In conclusion, the fast-paced growth of Big Data and Artificial Intelligence is analysed in modern markets and industries, with a glimpse in potential future developments.

Keywords: Big Data; Artificial Intelligence; AI History; Machine Learning; Neural Networks; Deep Learning; AIED; Education 4.0; MOOC; AI Growth (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-97877-8_11

Ordering information: This item can be ordered from
http://www.springer.com/9783030978778

DOI: 10.1007/978-3-030-97877-8_11

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().