TY  - JOUR
AU  - Lopez-Zevallos, Luis 
AU  - Navarro-Prado , Evellyn 
AU  - Cabanillas-Carbonell, Michael 
PY  - 2025
TI  - Virtual Learning System with Artificial Intelligence for the Academic Management Process
JF  - Journal of Computer Science
VL  - 21
IS  - 4
DO  - 10.3844/jcssp.2025.827.835
UR  - https://thescipub.com/abstract/jcssp.2025.827.835
AB  - The impact of the COVID-19 pandemic on global education, with the massive closure of schools and universities. It highlights the challenge of adapting to distance learning modalities and the loss of students' knowledge. In this context, the use of Artificial Intelligence (AI) has become a promising alternative to improve distance education; it is presented as a solution to automate administrative tasks and personalize learning. The research work conducted focuses on how an AI-based e-learning system has improved academic management and learning at the institution. The study involved the participation of 20 experts, who evaluated the prototype in terms of efficiency, usability, technology, functionality, and design. As a result of the evaluation of the criteria, 93% in design and 92% in functionality were obtained. Likewise, 68.9% of experts determined that the system has a "Good" efficiency, with the highest percentage followed by 64.4% of "very good" efficiency. In conclusion, efficiency has a high degree of satisfaction due to being fast and efficient.