Intelligent Tutoring Systems as A Solution to Emotional and Academic Challenges in Higher Education: Analysis of a Survey from Instituto Politécnico Nacional

Abstract

The use of artificial intelligence in education has opened new possibilities for personalizing teaching and providing comprehensive support to students. This study investigated the emotional and tutoring needs of students at the Instituto Politécnico Nacional, employing data mining techniques to analyze survey results. The methodology allowed the identification of key patterns related to academic motivations, emotional needs, and access to tutoring, offering a comprehensive view of the challenges faced by students. The findings reveal that 47.7% of students experience emotional problems, 70.4% are unaware of available tutoring figures, and 93.3% have not received any tutorial support. Additionally, 45.7% consider psychological support necessary, and 72.8% would request tutoring help.

Given this situation, the implementation of Intelligent Tutoring Systems (ITS) is proposed as a viable solution. These systems, with their ability to personalize learning, provide instant feedback, and continuously monitor progress, offer not only academic support but also tools to manage emotions such as stress and anxiety. The study presents concrete proposals for implementing ITS in higher education, demonstrating how these systems can enhance the student experience by integrating academic and emotional development through artificial intelligence.