Rethinking Language Education in the Age of Generative AI

Zhongfeng Tian is an assistant professor of Bilingual Education at Rutgers University–Newark, USA. His research, grounded in translanguaging theory, focuses on collaborating with pre- and in-service teachers to foster equitable, inclusive, and socially just learning environments for bi/multilingual students in ESL and dual language bilingual education contexts.Chaoran Wang is an assistant professor of Writing and a Multilingual Writing Specialist at Colby College, USA. Her research examines multilingual literacy and the role of technology through the intersecting perspectives of applied linguistics, writing studies, and educational technologies.

• Part I: Conceptual Pieces 1. A Five-Ecosystem Approach to Generative AI in Language Classrooms 2. Language Teacher Preparation for an AI world: A Human Ecological Perspective Part II: Empirical Studies 3. Human–AI Teaming: Exploring Indigenous Perspectives on Human–AI Collaboration in Language Education in Thailand, the Philippines, and Indonesia 4. Modality or Authenticity? The Role of Authentic versus AI-Generated Texts in Language Learner Engagement 5. ChatGPT-3 Policies in the Making: Identifying Blind Spots and Supporting the Language Needs of International Students 6. Using Large Language Models to Facilitate Oral Proficiency Interview Practice for English Language Learners Part III: Practical Applications 7. Teaching Global Englishes with ChatGPT: Modeling and Analyzing Language Varieties with Generative AI 8. Charting New Waters: Exploring the Role of ChatGPT in Postsecondary Pathways Programs 9. AI-Integrated English Language Teaching in K-12 Classrooms: Insights from South Korea 10. Implementing AI Chatbots in L2 University Courses: Building Pragmatic Competence and Critical Digital Literacy 11. Scaffolded Integration of ChatGPT to Promote Language and Culture Learning

"Synthesizing conceptual, empirical, and pedagogical insights, Tian and Wang offer a comprehensive response to the challenges and possibilities posed by generative artificial intelligence (AI) in language education." Violeta Kalnytska, PhD; Visiting scholar at PLACe School, Purdue University, Review posted in MyTESOL"Rethinking Language Education in the Age of Generative AI integrates conceptual, empirical and classroom-based perspectives to present a coherent discussion on how large language models may reshape language education. It systematically examines AI’s influence at multiple layers, including curriculum design, classroom interaction, assessment and policy, showing readers the opportunities and related challenges."Boshi Wu & Xiaobin Yang, Review posted in Language and Education"Rethinking Language Education in the Age of Generative AI, edited by Zhongfeng Tian and Chaoran Wang, emerges as one of the first comprehensive volumes to integrate conceptual models, empirical findings, and pedagogical applications into a single cohesive framework. The collection moves beyond adaptation towards a critical and reflective engagement with the transformations AI brings to language education. As such, it serves as an essential resource for students and researchers aiming to leverage AI to enhance language teaching and learning in innovative, critical, ethical, and responsible ways."Muhammed Parviz & Amir Ghorbanpour, Review posted in in Open Learning: The Journal of Open, Distance and e-Learning"Overall, the book convincingly demonstrates GenAI’s transformative impact on language education, advocating for a human-centered, GenAI-empowered ecosystem."Lianjie Zhao & Luli He, Department of Language and Arts Education, College of TeacherEducation, Capital Normal University, Beijing, China; Review posted in Journal of China Computer-Assisted Language Learning