Artificial Intelligence-Based Technology in English Language Education: A Scoping Review

Ferreira K.; Quispe-Mirabal N.; Rodolfo-Ramirez M.; Punto-Noriega E.; Regina Lacerda Rabello C. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2025) · DOI: 10.18687/laccei2025.1.1.1587

Resumen

The objective of this article is to conduct a scoping review on the use of artificial intelligence (AI)-based technologies in English as a Foreign Language (EFL) teaching. The methodology employed follows PRISMA ScR guidelines, focusing on synthesizing existing evidence and evaluating the breadth and diversity of the literature on this topic. The main findings reveal that the implementation of various AI technologies, such as neural networks, deep learning, natural language processing, intelligent teaching models, optimization algorithms, and robotic and interactive systems, has significantly improved the personalization of language learning, educational assessment, and student engagement. Neural networks and deep learning have proven particularly effective in optimizing educational processes and enhancing interaction and efficiency in learning. Therefore, AI-based technologies have great potential to enhance learning effectiveness, but they also require well-defined strategies for their responsible and equitable implementation in the educational field.

Instituciones: Universidad Peruana Cayetano Heredia; Universidad San Ignacio de Loyola; Universidad Nacional de San Cristóbal de Huamanga; Universidad César Vallejo