The Significance of Artificial Neural Networks in Educational Research A Summary of Research and Literature

Ayhan Duykuluoglu ()
Additional contact information
Ayhan Duykuluoglu: Gazi University, Education Faculty, The Institute of the Educational Sciences, The Educational Administration and Supervision Department, Ankara, Turkey

Technium BioChemMed: Journal of Multidisciplinary Research, Biology, Chemistry and Medicine ISSN 2734 - 7990, 2021, vol. 2, issue 2, 107-116

Abstract: Today based on the improvements in computer technologies, research aims at developing new ways of processing data. Some research focus on creating new instruments which imitate the biological data processing mechanisms of human beings. These kinds of research have paved the way for the development of artificial neural networks which can be regarded to be a superior tool for predictive analysis when compared to the traditional and more commonly applied predictive analysis tools. Today artificial neural networks have gained widespread applications in such disciplines as ecology, engineering and health. However, it can be alleged that they have been confined to limited application in educational research though they could be more functional and effective than other predictive analysis. This study aims at shedding light on the functionality and the role which artificial neural networks can fulfill in educational research by referring to the studies which were carried out through articial neural networks analysis.

Keywords: readiness restaurant; pandemic covid-19; health protocol; hospitality (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://techniumscience.com/index.php/biochemmed/article/view/3818/1369 (application/pdf)
https://techniumscience.com/index.php/biochemmed/article/view/3818 (text/html)

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:tec:bioche:v:2:y:2021:i:2:p:107-116

Access Statistics for this article

Technium BioChemMed: Journal of Multidisciplinary Research, Biology, Chemistry and Medicine ISSN 2734 - 7990 is currently edited by Anna Maria Golita

More articles in Technium BioChemMed: Journal of Multidisciplinary Research, Biology, Chemistry and Medicine ISSN 2734 - 7990 from Technium Science
Bibliographic data for series maintained by Anna Maria Golita ().