Information Technology Reference
In-Depth Information
A Rough Set Based Total Quality
Management Approach in Higher
Education
Ahmad Taher Azar, Renu Vashist and Ashutosh Vashishtha
Abstract Contrary to the popular belief that TQM is a poor
fit in higher education
sector, this research proposes a Rough Set Theory (RST) based model for grading
educational institution using TQM parameters. It is a well established fact that
TQM needs major reshaping before it can be effectively applied in higher education
sector for quality assessment and improvement. This chapter takes a balance view
by employing RST approach in TQM architecture and eliminating the much pub-
licized shortcomings of TQM approach. RST theory has advantage of working on a
small size of data containing vague and imprecise information which is widely
prevalent in education sector. A carefully drafted questionnaire, containing nine
attributes, is used for generating research data from the different stake holders in
higher educational
ed condition attributes are
selected on the basis of literature survey and expert views which are subsequently
treated with RST analysis. One decision parameter
institutes of India. Nine modi
depends on nine
independent condition attributes. The resultant model contains only two signi
'
Grade
'
cant
attributes namely,
'
Effective Learning and Teaching
'
and
'
Administrative Setup
'
which can effectively determine the grading of educational institutions. Results of
this study may be utilized to improve the higher education quality through
appropriate grading mechanism based on self assessment of quality parameters by
the different stakeholders of the education sector. The study con
rms that TQM can
be useful to enhance both quasi-academic areas such as
'
administrative setup
'
along
with core academic area
'
effective teaching and learning
'
.
Search WWH ::
Custom Search