Joshua M. Paiz – författare

Artificial Intelligence, Real Teaching provides an accessible overview of AI and its uses, so English language teachers across the globe can feel confident joining conversations about AI and integrating it into their practice. Grounded in current understanding of second language acquisition theory, translanguaging, and the science of learning, as well as the first-hand AI-integration experiences of the authors, this book offers teachers time-saving and personalized backend strategies for curriculum development, lesson planning, scaffolding, and assessment. Through inclusive front-end strategies for use with students in class and “make it your own” exercises, readers are encouraged to adapt AI enhancements to their particular teaching contexts and to reflect on the benefits and challenges of ethical AI integration. In short, this book serves as a teacher’s AI toolkit, offering English language teachers detailed resources to continue engaging with AI. Artificial Intelligence, Real Teaching sets the stage for teachers to innovate their practices with productive AI enhancements while continuing to center human interaction in language education amid the changing landscape of an AI-rich world.

Collaborative AI offers a timely and practical roadmap for educators navigating the challenges and opportunities of teaching in an AI-rich world. Grounded in the principles of ethical integration and human-centered pedagogy, this book introduces the concept of “Collaborative AI” – a framework that emphasizes the productive partnership between human educators and AI systems. Rather than replacing teachers, AI is positioned here as a tool to enhance language instruction, streamline assessment, and personalize learning while safeguarding professional autonomy and student agency.Written for TESOL professionals, applied linguists, teacher educators, and instructional designers, this book blends accessible explanations of AI technologies - generative AI, natural language processing, machine learning—with real world examples, pedagogical strategies, and policy guidance. Joshua M. Paiz covers key issues such as digital equity, data ethics, academic integrity, and professional development, offering concrete suggestions for classroom use and institutional planning.Across nine chapters, Collaborative AI guides readers through the history, potential, and pitfalls of AI in English language teaching, concluding with an optimistic yet critical call for educators to lead the way in shaping responsible and inclusive AI practices. This is a must-read resource for anyone seeking to integrate emerging technologies into language education while keeping pedagogy, ethics, and learner well-being at the center.

This edited book examines how sexuality and sexual identity intersect and interact with other identities and subjectivities – including but not limited to race, religion, gender, social class, ableness, and immigrant or refugee status – to form reinforcing webs of privilege and oppression that can have significant implications for language teaching and learning processes. The authors explore how these intersections may influence the teaching of different languages and how pedagogies can be devised to increase equitable access to language learning spaces. They seek to open the conversation on intersectional issues as they relate to sexuality and language teaching and learning, and provide a conversational space where readers can engage with the notion of intersectionality. This book will be of interest to students and scholars of applied linguistics and language education, gender and LGBTQ+ studies, and sociolinguistics, outlining possible future directions for intersectional research.