Work

Sociological Impact On Education An Analytical Approach Through Artificial Neural Network

Year: 2011

Type: article

Abstract: This research presented in this paper is an on-going project of an application of neural network and fuzzy models to evaluate the sociological factors which affect the educational performance of the students in Sri Lanka. One of its major goals is to prepare the grounds to device a counseling tool which helps these students for a better performance at their examinations, especially at their G.C.E O/L (General Certificate of Education-Ordinary Level) examination. Closely related sociological factors are collected as raw data and the noise of these data are filtered through the fuzzy interface and the supervised neural network is being utilized to recognize the performance patterns against the chosen social factors.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.1333816

Authors: P. R. Jayathilaka, K.L. Jayaratne, H.L. Premaratne

Language: English

Topic: Educational Outcomes and Influences

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W2344540703

FWCI:

Cites:

Cited by: 1

Related to: 10