ANN Approach to Predict Employment of Technical Undergraduate Students

Abstract

In this study, the various employment skill sets of undergraduate students were identified. Stakeholders of campus placement activity i.e. company HR, placed Alumni, senior T & P Officers and senior Trainers were authenticate the selected skill sets. Grouping of skill sets has done as per their characteristics into four groups i.e. Aptitude, Communication, Technical & Personality traits. Pen & paper test designed and conducted in Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur affiliated technical institutes to measure the skill sets. Nonlinear relationship was found between dependent variable Employment and independent variable skill sets. Due to nonlinearity, an Artificial Neural Network (ANN) approach used to develop model for predicting Employment. MAT Lab and SPSS version 20 tool used to carry out the research work. As per result of the research work, all skill sets have positive correlation with each other and also with the Employment. Technical institute needs to change their only traditional technical skill focus & make additional efforts to develop other skills that best foster Employment.