Psychometric Assessment of Teacher Mindset using hybrid KNN-SVM Algorithm

With the rise of Information Technology, there has been a monumental rise in the number of jobs in the industry. To counter the huge number of applications and to ensure that candidates of proper attitudes are selected, a holistic evaluation from a psychology point of view is must. We propose a system to develop a similar platform for the evaluation of teachers, i.e., using Psychometric Games to measure and evaluate traits that are favourable for teachers to have. The statistics being captured are not shown to teachers which ensures unbiasedness to a large extent. We use hybrid of KNN and SVN algorithm and similarity index to predict the acceptance rating of the teacher on the basis of the previous results. The data set is generated by playing different games by different users and storing it in a one to many model mapping. Finally, a report is generated with summaries of all the actions and the approximate adherence to different traits being captured.