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This paper introduces a novel artificial intelligence (AI)-powered system designed to enhance early childhood education by generating personalized stories with integrated images tailored for 3-year-old children. Using recent advancements in AI-generated pedagogical agents (AIPA) and multimodal storytelling, the system combines computer vision, natural language processing (NLP), and image synthesis to deliver engaging and personalized learning experiences. A three-month study demonstrates the potential of the system to improve learning engagement and the development of narrative skills, highlighting the value of personalized content to promote early cognitive and linguistic growth.

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Enhancing Early Childhood Learning Through AI-Generated Personalized Stories with Image Integration

  • 会议论文

  • 发表日期：

    2026年

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  • Siham Hattab,
  • Hamza Salem,
  • Marko Pezer,
  • Manuel Mazzara

摘要

This paper introduces a novel artificial intelligence (AI)-powered system designed to enhance early childhood education by generating personalized stories with integrated images tailored for 3-year-old children. Using recent advancements in AI-generated pedagogical agents (AIPA) and multimodal storytelling, the system combines computer vision, natural language processing (NLP), and image synthesis to deliver engaging and personalized learning experiences. A three-month study demonstrates the potential of the system to improve learning engagement and the development of narrative skills, highlighting the value of personalized content to promote early cognitive and linguistic growth.