The Impacts of AI-Driven Storytelling Applications on Language Acquisition and Literacy Development in Early Childhood Education: A Systematic Review
Guanzheng Chen *
School of Teacher Education, Hezhou University, Hezhou, Guangxi, China.
*Author to whom correspondence should be addressed.
Abstract
This systematic literature review examines the transformative potential of AI storytelling applications in early childhood education (ECE), particularly for language acquisition and literacy development. It identifies key features of AI tools, such as interactivity, personalization, and adaptability, which enhance learning experiences. These tools, including interactive robots and digital platforms, leverage voice recognition and adaptive algorithms to improve vocabulary, comprehension, and narrative skills, while promoting cognitive and emotional development. The review highlights AI's role in revolutionizing education with culturally relevant content, especially in bilingual and diverse settings like Asia and China. However, it identifies research gaps, including a lack of long-term studies and comprehensive frameworks for AI integration in ECE. The study calls for future research to address these gaps and emphasizes the need for equitable access and cultural sensitivity. It urges educators, policymakers, and developers to collaborate in harnessing AI's potential, creating inclusive and effective learning environments that prepare students for success in a digital world.
Keywords: Artificial intelligence (AI) storytelling, early childhood education (ECE), language acquisition, literacy development