An Efficient Education System to Enhance Student Employability through Mining of Academics and Event Performance
International Journal for Research in Applied Science and Engineering Technology
Education system in the current world focuses on multiple dimensions required for overall student development. Ensuring an ability to acquire a job opportunity is the basis of training given at an undergraduate and graduate level. Academic abilities are not alone important when it comes for placement, their co-curricular and extra-curricular trainings also plays a vital role. The pattern of behavior that exists in the student community is that they have tendency to attend program where a lot of
... gram where a lot of people participate, and it is popular. Nobody cares whether the program suits their caliber or is there any benefit for them in attending such programs. The research here concentrates in developing an analytical model which helps in predicting the student community the most suitable program they can attend based on their knowledge level and also provides the rating of the various events in an educational institute. The basic step taken is to categorize the students and events based on various criteria and parameters using a Decision tree algorithm. Naïve Bayesian classification is applied on top the dataset in order to make a classification of event based on student grade and outcome they gained by attending an event. Overall system does the analysis of students and events and creates an analytical model for student community to choose the most beneficial programs that they should attend which enhances their chances of getting placed.