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.

About the Author

Joshua M. Paiz is Teaching Assistant Professor of English for Academic Purposes at George Washington University, where he teaches academic literacy courses and develops oral assessment software. He recently served as the English Language Specialist for Bahrain on AI in Education under the auspices of the U.S. Department of State.
Rachel Toncelli is Lecturer at NU Global at Northeastern University. She was selected by the U.S. Department of State for a 2-week English Language Specialist project focusing on teaching academic writing in the age of generative artificial intelligence (GenAI) in Russia at a national conference focused on teaching writing.
Ilka Kostka is Teaching Professor at Northeastern University, where she has taught a range of English language courses to international students since 2014. Her current scholarly interests center on explorations of generative AI in post-secondary English language instruction.

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