A review on how big data analytics can influence education

Victor Chang, Qianwen Xu, Victor Mendez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

This paper gives an explanation about the definition of Big Data, Big Data Analytics and how they influence education in terms of benefits and ethical issues. First of all, this paper illustrates the applications of big data analytics in educational context and three benefits to education. Then, it explains ethical issues arisen during the usage of Big Data Analytics. It then discloses the ethical issues of Big Data Analytics employed in the education context from the aspects of individuals and the goal of education. Finally, this paper provides several recommendations to deal with current or potential ethical issues due to the applications of big data analytics in the area of education.

Original languageEnglish
Title of host publicationCOMPLEXIS 2019 - Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk
EditorsFarshad Firouzi, Ernesto Estrada, Victor Mendez Munoz, Victor Chang
PublisherSciTePress
Pages130-138
Number of pages9
ISBN (Electronic)9789897583667
Publication statusPublished - 1 Jan 2019
Event4th International Conference on Complexity, Future Information Systems and Risk - Heraklion, Crete, Greece
Duration: 2 May 20194 May 2019
Conference number: 4

Publication series

NameCOMPLEXIS 2019 - Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk

Conference

Conference4th International Conference on Complexity, Future Information Systems and Risk
Abbreviated titleCOMPLEXIS 2019
CountryGreece
CityHeraklion, Crete
Period2/05/194/05/19

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  • Cite this

    Chang, V., Xu, Q., & Mendez, V. (2019). A review on how big data analytics can influence education. In F. Firouzi, E. Estrada, V. M. Munoz, & V. Chang (Eds.), COMPLEXIS 2019 - Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk (pp. 130-138). (COMPLEXIS 2019 - Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk). SciTePress.