A Capability Maturity Decision Making System for Educational Quality Based on Rough Computing

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.