4. AI Corner
A selection of some of the latest research and topics in AI related to language learning.
Generative AI offers exciting opportunities for language learning, providing tools like ChatGPT for conversational practice, corrective feedback, and the creation of learning materials. It supports both autonomous and instructed learning while enhancing immersive technologies. However, its limitations, such as the inability to address sociocultural aspects of language use, along with ethical and practical concerns, must be acknowledged. Ecological theories and Indigenous perspectives can offer valuable insights into the evolving relationship between users and AI systems.
This study systematically reviewed 18 peer-reviewed articles (2009–2024) to explore AI's role in language learning, using the PRISMA framework for structured data collection and analysis. Articles from databases like Google Scholar, ERIC, and PubMed were screened and analyzed through a dual-round thematic approach to identify patterns in AI’s impact on language learning. The findings show that AI tools, such as VR applications, automated feedback systems, and chatbots, enhance engagement, provide immediate feedback, and enable personalized learning, improving skills like speaking, writing, and grammar. While AI promotes self-regulated learning, the study also highlights challenges such as over-reliance on technology and issues of equitable access.
AI is transforming classrooms, offering incredible opportunities like personalized tutoring and smarter lesson planning. But with these tools come challenges: over-reliance, ethical concerns, and declining deep reading skills. Teachers are learning how to navigate this disruption, showing students how to use AI as a thought partner, not a shortcut. Creativity and critical thinking remain the most important skills—ones no technology can replace.
