TY  - BOOK
AU  - Reimers,Fernando
AU  - Azim,Zainab
AU  - Palomo,Maria-Renée
AU  - Thony,Callysta
ED  - SpringerLink (Online service)
TI  - Artificial Intelligence and Education in the Global South: A Systems Perspective 
SN  - 9783032114495
AV  - LB1028.3 
U1  - 371.33 23
PY  - 2026///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Educational technology
KW  - International education 
KW  - Comparative education
KW  - Teachers
KW  - Training of
KW  - Study Skills
KW  - Digital Education and Educational Technology
KW  - International and Comparative Education
KW  - Teaching and Teacher Education
KW  - Study and Learning Skills
N1  - Chapter 1. Education and Artificial Intelligence: A Systems Approach -- Chapter 2. Challenges and Opportunities of Education in the Global South -- Chapter 3. Students, learning, classrooms and schools -- Chapter 4. AI and Curriculum -- Chapter 5. Assessment and AI -- Chapter 6. AI and Teacher development -- Chapter 7. AI and School Organization and Management -- Chapter 8. AI and Education Governance -- Chapter 9. Conclusion: Charting the Future of AI and Education in the Global South—Promises, Realities, and the Path Forward -- Chapter 10. Glossary; Open Access
N2  - This open access book examines the dynamic intersection of artificial intelligence and education in the Global South, where resource constraints and demographic trends create unique challenges and opportunities. Adopting a systems perspective, it explores how AI can transform teaching, curriculum, assessment, teacher professional development, school leadership and system governance while addressing AI literacy, improving the effectiveness of education and developing transferable skills. The book highlights the risks of exacerbating existing inequalities if technology is not carefully integrated and stresses the importance of human-centered, locally adapted solutions. The book examines whether AI is supporting innovation or the transformation of education systems and how it is addressing the principal most vexing challenges with respect to the areas examined. Each chapter draws on an analysis of the potential of AI, on evidence of its use and on evaluation on the implementation and effectiveness of applications. Each chapter concludes with main takeaways for policy and practice, key ethical issues and questions that merit more research
UR  - https://doi.org/10.1007/978-3-032-11449-5
ER  -