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Faculty Evaluation Scheme for Engineering Institutions by Factor Analysis Approach


Affiliations
1 Department of Mathematics, India
2 Department of Civil Engineering, India
3 A.D. Patel Institute of Technology, New Vallabh-Vidyanagar, Gujarat, India
     

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Faculties are key persons for the growth of the institute and development of every student. Faculty have direct impact 011 teaching learning process and indirect impact on developing learning attitude among the students. They develop professional managers, industrialists and leaders from them. It is not possible to be done by an individual faculty but needs contribution by the whole team of faculty members. Therefore faculty enhancement is most important aspect for the development of engineering institutions in the era of global competitiveness. Faculty also needs to do self-evaluation to improve his own skills. Faculty promotion is also an important aspect from the management point of view. In this paper, a model is developed for the evaluation of a faculty member based on factor analysis approach. A framework of 25 criteria contributing faculty evaluation is developed based on expert's method approach. The Simple Additive Weighting (SA W) method is used for deciding relative importance of various parameters. Local and Global weights are decided by average method. Criteria ranking is done based on global weights of the same, which emphasizes importance of parameters. Classroom teaching and knowledge of the subject are two most important ones out of all criteria. For each criterion, scoring system is designed on the basis of qualitative and quantitative values of each. Then final model is prepared for the same and tested for one faculty of engineering institute and found effective. The proposed model can be used for evaluation of faculties of professional engineering colleges.

Keywords

Engineering College Faculty Evaluation, Simple Additive Weighting Method (SAW), Model Development, Scoring System.
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  • Faculty Evaluation Scheme for Engineering Institutions by Factor Analysis Approach

Abstract Views: 237  |  PDF Views: 0

Authors

Darshana J. Prajapati
Department of Mathematics, India
R. B. Bhatt
Department of Civil Engineering, India
R. K. Jain
A.D. Patel Institute of Technology, New Vallabh-Vidyanagar, Gujarat, India

Abstract


Faculties are key persons for the growth of the institute and development of every student. Faculty have direct impact 011 teaching learning process and indirect impact on developing learning attitude among the students. They develop professional managers, industrialists and leaders from them. It is not possible to be done by an individual faculty but needs contribution by the whole team of faculty members. Therefore faculty enhancement is most important aspect for the development of engineering institutions in the era of global competitiveness. Faculty also needs to do self-evaluation to improve his own skills. Faculty promotion is also an important aspect from the management point of view. In this paper, a model is developed for the evaluation of a faculty member based on factor analysis approach. A framework of 25 criteria contributing faculty evaluation is developed based on expert's method approach. The Simple Additive Weighting (SA W) method is used for deciding relative importance of various parameters. Local and Global weights are decided by average method. Criteria ranking is done based on global weights of the same, which emphasizes importance of parameters. Classroom teaching and knowledge of the subject are two most important ones out of all criteria. For each criterion, scoring system is designed on the basis of qualitative and quantitative values of each. Then final model is prepared for the same and tested for one faculty of engineering institute and found effective. The proposed model can be used for evaluation of faculties of professional engineering colleges.

Keywords


Engineering College Faculty Evaluation, Simple Additive Weighting Method (SAW), Model Development, Scoring System.



DOI: https://doi.org/10.16920/jeet%2F2009%2Fv23i1%2F112851