A decision support system using analytical hierarchy process for student-teacher-industry expectation perspective

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Abstract

Communication gap between expectations or requirements of student, teacher and industry ismajor issue for every engineering institute as well as for nation. It is necessary to make engineering or professional students skilled and employable for industries. Therefore, there is a need of proper understanding between student, teacher and industry with respect to various skills and making them aware of various engineering, professional and management practices and methodologies. The National Institutional Ranking Framework (NIRF) of Government of India (GoI) provides ranks for institutes based on various parameters however the proposed study focuses on common perspectives of student-teacher and industry for better employability, understandings and interactions. One of the parameter ‘Graduation Outcomes’ of NIRF has been used in present study. Analytical Hierarchy Process (AHP) has been applied to identify common perspective on expectations (POE) of Student, Teacher and Industry (S-T-I) for bridging the perspective gap using S-T-I survey data. The obtained result shows that there is a gap in expectations for few identified criterias among S-T-I. However these gaps can be minimized by increasing communication among S-T-I’s.

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APA

Pawar, S. S., & Rathod, R. R. (2018). A decision support system using analytical hierarchy process for student-teacher-industry expectation perspective. In Advances in Intelligent Systems and Computing (Vol. 810, pp. 523–534). Springer Verlag. https://doi.org/10.1007/978-981-13-1513-8_54

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