This report, building on data from the Indicators of Education Systems (INES) programme, the Teaching and Learning International Survey (TALIS) and the Programme for International Student Assessment (PISA).

Traditional classrooms are fast becoming a minority in the education field. As technologies continue to develop as a pervasive aspect of modern society, educators must be trained to meet the demands and opportunities afforded by this technology-rich landscape. The Handbook of Research on Teacher Education in the Digital Age focuses on the needs of teachers as they redesign their curricula and lessons to incorporate new technological tools. Including theoretical frameworks, empirical research, and best practices, this book serves as a guide for researchers, educators, and faculty and professional developers of distance learning tools.

This handbook provides a comprehensive, scholarly overview of teacher education in Central and Eastern Europe (CEE), since the fall of communism in 1989. It looks closely at recent trends, emerging practices, and possible futures for teacher education in twenty-one CEE countries – reaching from the Balkans, through the Visegrad Group, to Eastern Europe and the Baltics. The contributing authors reflect on their own countries’ uphill battles and journeys towards modernising teacher education over the last three decades. Subsequently, contemporary teacher education policies, structures, and practices are explored in light of Bologna reforms, EU higher education policies, and globalisation processes. Each chapter also offers some predictions about likely future trajectories – with concrete suggestions on how to develop and improve teacher education systems in response to the growing pressures of neoliberal ideologies. The Palgrave Handbook of Teacher Education in Central and Eastern Europe provides a valuable reference that enriches the work of scholars, students, policymakers, and practitioners across CEE and beyond.

Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]