Exploration of Vocational Guidance Prediction Techniques, Case: EVP2 and Gardner Test

Abstract

Career choice is a critical moment for any student. However, many students world- wide change of path during the first academic year. Vocational tests are tools to help students choose an upper education career by providing information about their abilities and interests. However, some of them are very difficult to apply high costs, availability, or not validated at diverse populations. Gardner’s Multiple Intelligence test is a popular test that measures the brain’s performance abilities in nine areas. Unlike IQ’s test, Gardner Test is helpful to understand students’ strengths and learn- ing styles. Vocational tests and Multiple Intelligence test measure students’ abilities and interests. This research studies the vocational interests of a population of 250 seniors students. Our objective is to develop a system for the prediction of vocational orientation using machine learning techniques. The results show the implementation of a recommendation system based on the Gardner test, considering family variables and results of a basic knowledge test.