Neural Networks in the Educational Sector: Challenges and Opportunities

Fiore Ugo ()
Additional contact information
Fiore Ugo: Department of Management and Quantitative Studies, Parthenope University, Napoli, Italy

Balkan Region Conference on Engineering and Business Education, 2019, vol. 3, issue 1, 332-337

Abstract: Given their increasing diffusion, deep learning networks have long been considered an important subject on which teaching efforts should be concentrated, to support a fast and effective training. In addition to that role, the availability of rich data coming from several sources underlines the potential of neural networks used as an analysis tool to identify critical aspects, plan upgrades and adjustments, and ultimately improve learning experience. Analysis and forecasting methods have been widely used in this context, allowing policy makers, managers and educators to make informed decisions. The capabilities of recurring neural networks—in particular Long Short-Term Memory networks—in the analysis of natural language have led to their use in measuring the similarity of educational materials. Massive Online Open Courses provide a rich variety of data about the learning behaviors of online learners. The analysis of learning paths provides insights related to the optimization of learning processes, as well as the prediction of outcomes and performance. Another active area of research concerns the recommendation of suitable personalized, adaptive, learning paths, based on varying sources, including even the tracing of eye-path movements. In this way, the transition from passive learning to active learning can be achieved. Challenges and opportunities in the application of neural networks in the educational sector are presented.

Keywords: neural networks; recurring networks; learning paths (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/cplbu-2020-0039 (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:vrs:brcebe:v:3:y:2019:i:1:p:332-337:n:39

DOI: 10.2478/cplbu-2020-0039

Access Statistics for this article

Balkan Region Conference on Engineering and Business Education is currently edited by Constantin Oprean

More articles in Balkan Region Conference on Engineering and Business Education from Sciendo
Bibliographic data for series maintained by Peter Golla ().