Analysis of the Variables for Quality Management in Technical Education Using Interpretive Structural Modeling (ISM)

摘要

Adoption of Interpretive structural modeling is a possible solution for modeling of various parameters to rank them as per criticality for improvement in quality of technical education. In this paper Interpretive structural modeling has been applied for analyzing the effect of various factors on quality of Technical education that result in effective & precise decision making. This technique helps to develop a hierarchy model that includes the variable in order of their role for improving the quality of technical education. Driving power and dependence bring the related variable at common level. This technique works on the interrelationships among the variables.