Success Prediction of Students by Integrating Communication Skills with Achievement Motivation and Personality

Abstract

Abstract—A technique has been recommended for the success level prediction of student professionals. It is achieved by combining communication skills with prior, proven prediction of students ’ success with narrower domains of Big Five Personality traits [17] along with achievement motivation [16]. The goal is to assess the combined success levels of students in their life beyond academics with the novel and complete mathematical representation, architecture, development and implementation of online decision support system. Regression model has been developed for a test bed of 974 male and female students with training and testing data. Results inferred that on regressing Students-Success-NEO-Achievement Motivation-Communication (SS-N-A-C) incrementally with demographic variables, Students-Success-NEO-Achievement Motivation (SS-N-A) and Total-Communication-group (TComm-g), TComm-g has higher impact over SS-N-A in predicting collective success levels of students. The performance accuracy has been calculated using Chi-square Automatic Interactor Detector (CHAID), classification technique