This edited volume explores the transformative role of AI in various sociocultural settings at different levels of education through the sociocultural theoretical lens, to meet the urgent need to understand the impact of generative AI tools on teaching and learning. It includes contributions from various disciplines, including linguistics, psychology, STEM, language teaching, healthcare education, professional learning, teacher education, training, and development, and from various contexts across the world. The book is divided into two parts: learning with AI in general and professional education. The focus on learning and development allows a more in-depth exploration of the impact of AI on creating context-sensitive learning environments. The second part of the book, professional education, addresses the theme of new digital competencies, such as prompt engineering, fostering critical AI literacy, supporting teacher agency, and developing ethical frameworks for AI-mediated instructional design. This volume is a valuable resource for education researchers and academics interested in AI-enhanced education, as well as teachers, managers, curriculum developers, and policymakers dealing with generative AI in their professional practice.
This edited volume explores the transformative role of AI in various sociocultural settings at different levels of education through the sociocultural theoretical lens, to meet the urgent need to understand the impact of generative AI tools on teaching and learning. It includes contributions from various disciplines, including linguistics, psychology, STEM, language teaching, healthcare education, professional learning, teacher education, training, and development, and from various contexts across the world. The book is divided into two parts: learning with AI in general and professional education. The focus on learning and development allows a more in-depth exploration of the impact of AI on creating context-sensitive learning environments. The second part of the book, professional education, addresses the theme of new digital competencies, such as prompt engineering, fostering critical AI literacy, supporting teacher agency, and developing ethical frameworks for AI-mediated instructional design. This volume is a valuable resource for education researchers and academics interested in AI-enhanced education, as well as teachers, managers, curriculum developers, and policymakers dealing with generative AI in their professional practice.
Lada Smirnova
Sociocultural theories of AI in education Artificial intelligence in education AI in teaching and learning AI in education Practical aspects of implementing AI in teaching and learning Ethical aspects of AI implementation Context-specific applications and limitations of AI AI's impact on program design and assessment