International Journal of
Science and Technology Education Research

  • Abbreviation: Int. J. Sci. Technol. Educ. Res.
  • Language: English
  • ISSN: 2141-6559
  • DOI: 10.5897/IJSTER
  • Start Year: 2010
  • Published Articles: 75

Full Length Research Paper

Revisiting higher education data analysis: A Bayesian perspective

M. Subbiah1*, M. R. Srinivasan2 and S. Shanthi3
  1Department of Mathematics, K.C.G College of Technology, K.C.G. Nagar, Karapakkam, Chennai - 97, India. 2Department of Statistics, University of Madras, Chennai, India. 3Department of Computer Science and Engineering, Rajalakshmi Institute of Technology. Chennai, India.
Email: [email protected]

  • Article Number - CC4A0772939
  • Vol.2(2), pp. 32-38 , February 2011
  •  Accepted: 01 November 2010
  •  Published: 28 February 2011



There has been an increasing interest by the educationists and policy makers alike on the delivery and working of educational system at all levels.  Despite the extensive attention devoted to the empirical analysis of the data, most of the statistical techniques used in evaluating the data do not take account the qualitative nature of the data. The solicitation of expert’s opinion and dealing with subjective probabilities are dealt with in a very limited way for analyzing educational data through Bayesian approach unlike other areas like industry and management. In this paper an attempt has been made to outline the advantages of the Bayesian approach for analyzing uncertainties involved in education data management that could be more appropriate for academic planning. The scheme has been well tested and exemplified through University student’s enrollment data to underline procedure and relevance of Bayesian scheme in a multiple regression model.


Key words: Bayesian estimation, education data, expert opinion, predictive models, prior probability.