Journal of Engineering Education Transformations

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The premier regulatory bodies for technical education in India have mandated several services and facilities for the students of technical institutes. These services and facilities not only help in improving the learning environment in an educational institute but also boost the morale of students thereby enhancing the brand image of the institute. In India, the private un-aided technical institutes do not receive any direct financial support from the government for their day to day working. Considering the limited resources at their disposal, the management of the un-aided technical educational institutes may find it difficult to upgrade all services and facilities simultaneously. It is therefore necessary to shortlist services and facilities that need immediate attention and determine the proportion in which the available budget should be utilized for these services and facilities. 

A two stage survey was designed and opinion of 1090 students was collected through Google Form. Out of the 14 services and facilities extended by the institute, 4 were shortlisted with the help of first survey. Data collected through second survey was used as a basis for determining the values of attributes. TOPSIS method was then employed to prioritize the shortlisted services and facilities. Finally fund allocation was calculated for every attribute. 

Results indicate that in the opinion of the students, quality of the mess is the most significant issue and necessitate maximum fund allocation. Parking appears to be the least significant issue and hence minimum funds can be allotted for this aspect. 

The analysis is based on the facilities extended by the institute and opinion of the students. A similar exercise can be extended to any educational institution or organization with suitable modifications.

The study is unique and serves as a guideline to the management of private un-aided technical institutions in fund allocation. This study is an attempt to present a novel approach for improving quality of learning environment in un-aided technical institutes.


Keywords

Student Facilities, Quality Learning Environment, Un-aided Technical Institutes, Multicriteria Decision Making (MCDM), Weight Determination , Fundallocation , AHP, PROMETHEE, TOPSIS.
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