AI and Play-Based Learning in Early English Education

Abstract

This study explores the integration of artificial intelligence and play-based learning to enhance the motivation and vocabulary retention of young children learning English as a second language. Conducted under the Delfin program across early childhood education centers in Colima, Mexico, and Villavicencio, Colombia, this research aims to identify effective AI techniques and game elements that foster language acquisition among three- and four-year-old children. The study uses Buddy.ai, an AI-powered educational tool, to provide personalized lessons and interactive activities designed to engage and support young learners. This report presents findings from the Colima case, as the study of Villavicencio will occur once the researcher returns to Colombia. The research highlights the potential of AI and game-based learning to transform early childhood education. The findings underscore the importance of innovative educational technologies in creating engaging, adaptive, and effective learning environments, paving the way for future advancements in language education for young children