Enhancing virtual learning: leveraging AI and machine learning for learner style analysis

Rojas Moreno, J. E.
Vieira Barros, D. M.

Palabras clave: machine learning; artificial intelligence, learner style

This paper discusses an approach to enhance online teaching through the integration of ontology, artificial intelligence, machine learning, and virtual space usage styles. The main objective is to leverage these technologies and concepts to optimize the learning experience of students in virtual environments. Firstly, a learning domain model is developed that utilizes an educational ontology to structure and organize knowledge. Next, techniques of artificial intelligence and machine learning are incorporated to personalize the teaching process and adapt it to the individual needs of students. Furthermore, virtual space usage styles are analyzed, considering factors such as platform interaction, navigation, and student participation. These styles are used as indicators to improve feedback and system adaptation in the educational context. These combined technologies have the potential to transform online education and offer more effective and rewarding experiences for students.