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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.
Sommario
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.
Info autore
Fernando Reimers is the Ford Foundation Professor at Harvard University, USA and Director of the Global Education Innovation Initiative. He is an elected member of the US and the International Academies of Education. His research focuses on 21st-century global education, sustainable development, and responses to educational challenges such as COVID-19.
Zainab Azim isa Teaching Fellow at Harvard Graduate School of Education, USA. Her work bridges AI policy and education in global development. She’s led AI training for STEM educators in LMICs, evaluated AI in Uganda and Canada, and founded the Harvard AI and Education Conference. Former Oval Office Fellow at Harvard Kennedy School, USA.
Maria-Renée holds degrees from Harvard University, USA and Sciences Po Paris, France. Born in El Salvador, she spent a decade in France working in public sector consulting. She is assistant director of the Education Lab for Latin America and a teaching assistant at Harvard Graduate School of Education, USA, focusing on AI and education in the Global South.
Callysta Thony is a recent graduate of the Harvard Graduate School of Education, USA where she focused on global education policy. Formerly with GovTech Edu Indonesia supporting the Indonesian Ministry of Education. She is interested in exploring how the effective use of technology can address key challenges in education. She was part of the leadership team which initiated the inaugural Harvard AI & Education Conference.
