PERFORMANCE OF DISTANCE LEARNING HIGHER EDUCATION COURSES COMPARED TO FACE-TO-FACE AND THE CONTRIBUTIONS OF ARTIFICIAL INTELLIGENCE

Abstract

The exponential growth in enrollments in distance learning technology courses aroused the interest of verifying whether there was a difference between the performance of students who graduated from distance learning courses and that of students who studied entirely in person. In view of this, the present study sought to compare the performance of graduates of distance learning higher education courses: human resources management, financial management, logistics and marketing, with the performance of these same courses, in the face-to-face modality, based on the Enade scores of 2018 and 2022, the Enade Concept, the General Course Index and the Preliminary Course Concept of a private Higher Education Institution. The qualiquanti approach was adopted, supported by the descriptive and exploratory methods, combined with a case study of an Institution that stopped offering face-to-face technological courses and started to offer them only in distance education. It was concluded that distance courses presented a lower performance in relation to face-to-face courses, and it is necessary for the Institution to adopt quick measures aimed at identifying the reasons that led to this drop in the quality of its courses and promoting actions aimed at improving the performance of the courses and, for this, it could use AI systems.