Educational Research and Reviews

  • Abbreviation: Educ. Res. Rev.
  • Language: English
  • ISSN: 1990-3839
  • DOI: 10.5897/ERR
  • Start Year: 2006
  • Published Articles: 2014

Full Length Research Paper

Predicting effective course conduction strategy using Datamining techniques

Parkavi A
  • Parkavi A
  • Research Scholar, Periyar Maniammai University, Thanjavur, India
  • Google Scholar
K. Lakshmi
  • K. Lakshmi
  • Research Scholar, Periyar Maniammai University, Thanjavur, India
  • Google Scholar
K.G. Srinivasa
  • K.G. Srinivasa
  • CBP Government Engineering College, New Delhi.
  • Google Scholar


  •  Received: 03 May 2017
  •  Accepted: 09 June 2017
  •  Published: 23 December 2017

Abstract

Data analysis techniques can be used to analyze the pattern of data in different fields. Based on the analysis’ results, it is recommended that suggestions be provided to decision making authorities. The data mining techniques can be used in educational domain to improve the outcome of the educational sectors. The authors carried out this research study by devising a mathematical model and tool to determine effective course conduction strategy, for teaching the students regression analysis and goodness of fit test. This helps the faculty to take necessary remedial actions to improve performance in courses by selecting effective course conduction based on the students’ performance. The accuracy of prediction in this research is more as it is measured by using Rsquare value which is near to one.

Key words: Data mining, educational data analysis, course conduction strategy, outcome based education.