Transforming Early Literacy With AI-Driven Personalized Content Assessment and Feedback

This chapter examines the transformative role of artificial intelligence (AI) in early literacy through personalized and adaptive learning (PAL) tools that integrate assessment and feedback. It explores how AI-driven platforms such as MagicSchool, ABCmouse, DreamBox, Freckle, Khan Academy, and Lexia tailor instruction to young learners' needs, providing adaptive content, real-time feedback, and gamified engagement. By reviewing research evidence and case examples, the chapter highlights how PAL systems improve foundational literacy and numeracy skills, foster learner motivation, and support differentiated instruction. Attention is given to ethical challenges related to data privacy, algorithmic bias, and equitable access, emphasizing the importance of government regulation, teacher training, and parental involvement. The chapter concludes that, when responsibly implemented, PAL technologies can enhance inclusivity, promote individualized learning, and strengthen early education outcomes across diverse contexts.