Descripción:Children’s exposure to reading experiences and books can have a positive impact on language development, vocabulary acquisition, and even academic success. Recently, artificial intelligence (AI) has emerged as a tool for assisting story writing and learning in general. However, a systematic study exploring the use of AI in the context of children’s reading development is lacking. Hence, this study analyzes how AI techniques have been used to develop children’s reading, their evaluation methods, benefits, and target child population. A systematic literature mapping of 37 primary studies was performed, where we identified 13 AI techniques, 14 uses, 8 evaluation methods, and 17 benefits. Our results reveal a trend in the use of transformer models, with story writing and question generation being their main uses. Results also point to computable metrics and expert evaluations as the main evaluation methods. AI techniques benefit children’s cognitive and skill development, and improve content quality and personalization.
Tipo de publicación: Conference Paper
Publicado en: 2025 IEEE 43rd Central America and Panama Convention (CONCAPAN XLIII)
Autores- Lizano, Enrique Vílchez
- Porras, Alexandra Martínez
Investigadores del CITIC asociados a la publicación
Dra. Alexandra Martínez Porras
Bach. Enrique Vílchez Lizano
Proyecto asociado a la publicación
Uso de la inteligencia artificial como apoyo a la lectura compartida infantil