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A detailed analysis of how AI can be used in the classroom, including methods for measuring knowledge and abilities, student-adapted teaching with AI, general principles for technology use, and considerations of reading, writing, digital distractions, effective methods, and desirable difficulties. Research from the global north is included in the chapter.
A comprehensive chapter exploring AI's role in education, with insights into democratic, ethical, and social reflections, different views on technology in schools, and an analysis model for AI as a resource in school, including ethical reflections and management. The chapter gives room especially for global educational guidelines and presents guidelines and standards for how AI should be implemented and used responsibly in educational environments.
The concluding chapter, with a humanistic perspective on learning and technology, emphasizes the unique human aspects that AI cannot replicate, such as factuality, creativity, and humanity.
An investigation of how AI can be applied within specific subjects and disciplines, including TPACK, subject didactic opportunities and problems, and a focus on search criticism and source awareness.
A panoramic view of the digital era and how AI affects today's teaching, introducing the opportunities and simultaneous challenges that technology brings.
An introduction to AI, including an overview of essential technologies such as machine learning and deep learning, and a discussion on generative AI and its potential limitations. The chapter includes an exploration of AI's history, including its relationship to cybernetics, its role as a codebreaker, periods of optimism and “AI winters,” and today's global development with generative AI. Chapter 1 also include an analysis of AI's role in the international and national context, focusing on potential conflicts of goals and threats that can arise from technology.
The chapter highlights the importance of AI literacy. Opportunities and challenges that AI creates in the educational context, such as strategies for technology use, and what AI tools like ChatGPT can enable and hinder in the learning process.
This scoping review directs attention to artificial intelligence–mediated informal language learning (AI-ILL), defined as autonomous, self-directed, out-of-class second and foreign language (L2) learning practices involving AI tools. Through analysis of 65 empirical studies published up to mid-April 2025, it maps the landscape of this emerging field and identifies the key antecedents and outcomes. Findings revealed a nascent field characterized by exponential growth following ChatGPT’s release, geographical concentration in East Asia, methodological dominance of cross-sectional designs, and limited theoretical foundations. Analysis also demonstrated that learners’ AI-mediated informal learning practices are influenced by cognitive, affective, and sociocontextual factors, while producing significant benefits across linguistic, affective, and cognitive dimensions, particularly enhanced speaking proficiency and reduced communication anxiety. This review situates AI-ILL as an evolving subfield within intelligent CALL and suggests important directions for future research to understand the potential of constantly emerging AI technologies in supporting autonomous L2 development beyond the classroom.