Book Review: Rethinking Language Education in the Age of Generative AI

Edited by Z. Tian & C. Wang, 1st ed. Routledge. https://doi.org/10.4324/9781003426929

Violeta Kalnytska, PhD; Visiting scholar at PLACe School, Purdue University, West Lafayette, IN, USA

Synthesizing conceptual, empirical, and pedagogical insights, Tian and Wang (2025) offer a comprehensive response to the challenges and possibilities posed by generative artificial intelligence (AI) in language education. Rethinking Language Education in the Age of Generative AI spans 11 chapters and is structured across three interdependent sections.

Part I: Conceptual Pieces lays the theoretical foundation. Chapter 1 proposes a “five-ecosystem” model encompassing pedagogical, linguistic, technological, acquisitional, and sociocultural dimensions to systematically evaluate AI’s role in language classrooms. Chapter 2 offers a “human ecological perspective” that positions AI not as a neutral tool, but as an active participant embedded within complex networks of human and non-human actors. Moving beyond simplistic binaries of AI as purely “beneficial” or “harmful,” these chapters provide a nuanced framework attentive to varied pedagogical and sociocultural factors.

Part II: Empirical Studies features four multi-contextual investigations. One explores how teachers' cultural and religious values in Southeast Asia shape their attitudes toward AI tools. Another compares student engagement with authentic and AI-generated texts, finding that modality (e.g. audiovisual versus written) often matters more than textual origin. A third study analyzes ChatGPT-related policy documents at Canadian universities, exposing gaps in institutional support for international students and revealing the ethical tensions between innovation and inclusion. The final empirical piece assesses how large language models can enhance oral proficiency development in structured learner interactions. Together, these rich, multi-sited studies underscore the importance of anchoring policy, innovation, and integration in cultural and institutional realities.

Part III: Practical Applications includes five chapters detailing classroom-focused innovations. One chapter shows how ChatGPT can model global Englishes and promote sociolinguistic awareness, using AI, not to standardize, but to support linguistic diversity. Another chapter documents how generative AI helps international students in postsecondary pathways programs, emphasizing critical engagement over passive consumption. Further chapters examine AI chatbots for developing pragmatic competence and critical digital literacy, and a multiliteracies-based project where students co-write with ChatGPT to reflect on their own linguistic identities and the limitations of AI-generated language. This section effectively operationalizes the conceptual insights from Part I into tangible, contextually grounded learning activities.

The tripartite structure creates a cohesive argument that AI integration in language education must be multifaceted, balancing educational design, cultural sensitivity, and technological readiness. Drawing from applied linguistics, digital literacy, teacher education, and educational policy, the book primarily employs a qualitative approach, including interviews, observations, policy analysis, and learner reflections, to amplify authentic educational voices and multicultural realities rather than relying on hypothetical or overly generalized scenarios.

A distinctive strength of this volume is its ethical and inclusive orientation. The editors and contributors critically address issues such as bias in AI training data, threats to learner autonomy, overreliance on AI feedback, policy inadequacies, and digital inequities. Importantly, these concerns are paired with actionable, context-sensitive strategies rooted in critical pedagogy, ethical digital literacy, and inclusive policy-making.

Equally noteworthy is the volume’s consistent focus on multilingual and global learner perspectives. Featuring voices from Asia, North America, and Indigenous communities, the volume embraces translanguaging and Global Englishes frameworks that challenge monolingual norms. Rather than enforcing standardization, it advances the case for socially just AI literacy aligned with the realities of multilingual classrooms.

While Tian and Wang (2025) offers meaningful theoretical and practical insights, its focus on short-term, small-scale qualitative data leaves open important questions about the sustained impact of generative AI on language learning. Many of the studies foreground learner reflections and localized experiences, but fewer incorporate objective measures such as test scores, retention rates, or comparative performance across time. Future research could address these limitations by adopting longitudinal and quantitative designs with more diverse participant populations to assess how specific tools influence fluency, accuracy, and learner engagement over time.

Another underexplored area is learner autonomy and resistance. While some chapters touch on student interaction with AI, more empirical investigation is needed into how learners negotiate, question, or reject AI-generated feedback. This includes understanding whether repeated use promotes independent learning or breeds overreliance and how students assert agency in shaping their learning trajectories.

Despite these limitations, the volume provides a compelling foundation. By highlighting these gaps, it invites further inquiry into the evolving role of AI in language education, encouraging a research agenda that is methodologically rigorous, ethically aware, and globally inclusive.

References

Tian, Z. & C. Wang, C. (Eds.) (2025). Rethinking language education in the age of generative AI. Routledge. https://doi.org/10.4324/9781003426929

Violeta Kalnytska holds a PhD in English Language and Literature and is an Associate Professor at the Department of Foreign Languages at Kharkiv National Medical University (Ukraine) with extensive experience in ESP/EAP instruction and language teacher training. She is currently a visiting scholar at Purdue University, conducting research on the use of AI tools to enhance ESL/EAP skills for university students. Her research interests include second language acquisition, language education technologies, digital literacy, intercultural communication in language education.