Saltar al contenido
República del Perú · Observatorio de la producción científica universitaria
OApol.org Observatorio de Inteligencia Científica Universitaria del Perú
OApol.org
Inicio Universidades Publicaciones Investigadores
Repositorios
Tesis y trabajos académicosRevistas
Indicadores
Ranking trimestralRanking por carreraObjetivos de Desarrollo SostenibleReporte OCDERed neuronal 3D
Acerca
MetodologíaPrivacidad

Influence of Artificial Intelligence on the Development of Modern Educational Platforms

Marcos Méndez Galindo J.; André Del Águila Malpartida J.; Rodríguez Santos M.; Desiree Linarez Grijalva K. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2025) · DOI: 10.18687/laccei2025.1.1.669

Resumen

The advancement of artificial intelligence has profoundly transformed the creation of modern educational platforms, offering new ways to share knowledge. This review investigates its impact on the design and development of such platforms, highlighting the tools that artificial intelligence makes available. A selection of 2021 articles was obtained through the Scopus platform and manual searches, prioritizing dates from 2019 to the present, subsequently, 35 articles were chosen as they met the established criteria. The results indicated that in the academic field, computer science dominates with 40%, compared to social sciences, which occupy 23.3%, and engineering, with 13.3%. Indicating that artificial intelligence exerts a notable influence on contemporary education, resulting in advances in learning personalization, accessibility, economic effectiveness and overall operational efficiency. In addition, the most commonly employed language types include natural language (NLP), machine learning, and intelligent tutoring systems are the most common. The most prominent countries in generating research on AI in education are China and the United States, evidencing that they have begun to actively incorporate the new technologies. It was concluded that artificial intelligence in educational platforms has been shown to be beneficial in terms of learning personalization, efficiency and accessibility. However, challenges such as data privacy, equity of access, and the need for continuous human oversight are faced. These results underscore the transformative potential of AI in modern education, yet also highlight the importance of addressing its ethical and technical limitations and challenges.

Instituciones: Universidad Tecnológica del Perú