Forecasting the general examination results using back propagation

Nik Haslinda Abdul Halim, Salwani Abdullah

Research output: Contribution to journalArticle

Abstract

The Penilaian Menengah Rendah (PMR) examination is one of the government's public examinations taken in form 3 by every school pupil during the duration of their secondaiy school education. PMR's result forecasting is necessary and it provides a crucial element for the educators to facilitate the classroom management after the pupil completes their form 3 studies. It is the usual practices of the educators to use the results of the tests and examinations to forecast PMR results, regardless of the pupil's background. The purpose of this study is to forecast the public examination results using the back propagation approach. This methodology is employed to develop a Neural Network Model in order to determine the forecast accuracy based on the input parameters from three factors, i.e., demographic, academic and a combination of demographic and academic factors. The performance is measured in terms of the accuracy of the forecast based on the denormalization of the computed results. The dataset used for this study is from the Sekolah Menengah Kebangsaan Puchong Utama (1) (SMKPU1).

Original languageEnglish
Pages (from-to)1-6
Number of pages6
JournalAsian Journal of Information Technology
Volume12
Issue number1
DOIs
Publication statusPublished - 2013

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back propagation
education
methodology
forecast
public
school

Keywords

  • Back propagation
  • Dataset
  • Forecasting
  • Neural network
  • School
  • Test

ASJC Scopus subject areas

  • Atmospheric Science

Cite this

Forecasting the general examination results using back propagation. / Halim, Nik Haslinda Abdul; Abdullah, Salwani.

In: Asian Journal of Information Technology, Vol. 12, No. 1, 2013, p. 1-6.

Research output: Contribution to journalArticle

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