Teaching with Artificial Intelligence

Part I Foundations & Ethics: Historical Context, Ethical framing, and Why AI Matters for Young Learners 1. Developing Minds, Smart Classrooms and Artificial Intelligence:A Present-Future Merger 2. Starting Early: Ethics and AI in Education 3. Empowering Literacy with AI: Implications for Teaching, Ethics, and Policy Part II Building Educator Capacity & AI Literacy: Equipping Teachers with AI lLiteracy, Prompt-Engineering Skills, and Equitable Training 4. Fostering AI Literacy in Primary Education with LearningML: Practical Classroom Examples Using Machine Learning 5. The AI-Ready Educator: Prompt Engineering for Empowerment in Early Childhood Education and Care 6. Evaluating AI Teacher-Training Curricula through a Lens of Equity, Ethics, and Justice 7. AI in Early and Primary Education: Societal, Classroom, and Teacher Perspectives on Ethical and Pedagogical Integration Part III Classroom Tools & Assessment Practices: Hands-on AI Tutors, Chatbots, Generative-AI Question Design, and Assessment Pipelines 8. AI Tutors and Multilingual Development: A Literature-Based Analysis 9. AI Tutors: From Promise to Practice in Primary and Early Education 10. AI-Driven Chatbots in Flipped-Classroom Mathematics Education: Enhancing Learning Achievement and Self-Efficacy in Pre-Service Primary Teachers 11. Designing Classroom Assessments with Generative AI: A Teacher-in-the-Loop Framework Part IV Policy, Implementation & Future Directions: System-Level Governance, Adaptive-Learning Policy, and Visionary Outlook 12. AI-Driven Assessment in Early and Primary Education: Tools, Strategies, and Ethical Considerations 13. Generative AI in Primary Education: Policies, Practices, and Adaptive-Learning Innovations 14. Nurturing the Future: AIâs Role in Shaping Early and Primary Education