Determining the Course Interests of Gifted Students using Machine Learning

The Science and Art Centers in Turkiye provides special education to the gifted students according to their interests. In this paper, we developed a machine learning model to determine the course interest of the gifted students. We worked with 100 gifted students based on 10 different courses. The results obtained by using machine learning algorithms are compared with each other for each course as well as the classical test theory. The accuracy of our model is 1.74 times better than the classical test theory