Earticle

초록

영어

Educational quality varies in the degree to which they attempt to deal with different completing aspects of quality such as relative importance of various quality attributes of key process areas. With the emerging of information and communication technology, educational quality has drastically changed. This revolution has brought radical change in the way educational data are generated for ease of decision making. It is well established fact that use of information at the right time provides an advantage to educational quality. But the real challenge lies in converting high dimensional data into knowledge. Though present technology helps in creating databases, but most of the data may not be relevant for formulating a quality educational model. In this paper, we propose a new capability maturity decision making model based on rough computing for extracting key process areas and its relevance for the development of quality education. In particular, 769 educational institutions data are considered for validation and the results shows the practical viability of the proposed model.

목차

Abstract
 1. Introduction
 2. Foundations of Rough Set Theory
  2.1. Information System
  2.1. Indiscernibility Relation
 3. Proposed Capability Maturity Decision Model
  3.1. Rule Generation and Validation Algorithm
  3.2. A Numerical Illustration
 4. An Empirical Study on Educational Quality
  4.1. Rule Generation and Validation
 5. Conclusion and Future Extension
 References

키워드

저자

• R. Manjula, J. Vaideeswaran [ School of Computing Sciences and Engineering, VIT University, Vellore, India ]
• D. P. Acharjya [ School of Computing Sciences and Engineering, VIT University, Vellore, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605