Analysis of Academic Tutoring in Higher Education Using Artificial Intelligence

Abstract

University tutoring is a project that encompasses institutions from all over the world seeking to provide support to students to improve their performance at university, however the traditional model must be adjusted to distance conditions that require virtual or semi-presential attention, in which case a traditional tutor requires virtual environments to improve their tutorial performance, that is why in this work the various virtual tools of tutorial attention and their characteristics are analyzed, in addition a methodology is proposed to measure their performance based on the variables of interest in higher education institutions. With this, the performance of 4 platforms is measured and the way in which they should be integrated to obtain comprehensive tutoring is concluded.