Shaping the future of education: AI-driven approaches for primary schools

Damian Maher, John De Nobile, Jose Hanham, Alexia Maddox

Research output: Chapter in Book / Conference PaperChapterpeer-review

Abstract

This chapter explores the transformative impact of generative artificial intelligence (AI) in primary and early childhood education, focusing on innovative AI-driven personalized education approaches, feedback, chatbots, and the influence of the teacher. AI is reshaping the classroom experience by equipping teachers with tools that enhance lesson planning, real-time assessment, and the integration of interactive AI tutors. These technologies enable teachers to optimize their instructional methods while providing data-driven, individualized support for each student. The chapter highlights how AI supports personalized learning by tailoring educational experiences to the unique needs of students. It investigates the role of adaptive learning technologies that analyze student performance and create customized learning paths. AI systems provide immediate feedback based on student input, supporting continuous learning and improvement. Additionally, the chapter examines the role of chatbots designed to build confidence for teachers and students, enhancing engagement and offering on-demand assistance. Drawing on emerging research, the chapter offers insights into both the potential and challenges of integrating AI into primary schools. It emphasizes how AI can support more inclusive, flexible learning environments, empowering students and educators alike to embrace new learning possibilities.

Original languageEnglish
Title of host publicationAI in Early Education: Integrating Artificial Intelligence for Inclusive and Effective Learning
EditorsStamatios Papadakis
Place of PublicationU.S.
PublisherWiley
Chapter9
Pages139-160
Number of pages22
ISBN (Electronic)9781394352807
ISBN (Print)9781394352814
DOIs
Publication statusPublished - 2026

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