This Cambridge paper reviews evidence and offers practical strategies for using AI in language learning. It discusses different AI tools — writing assistants, conversational bots, personalized tutors, feedback systems — and shows how they can support writing, speaking, grammar, vocabulary, and learner motivation. The paper also highlights important challenges: risk of over-reliance, accuracy issues, bias, ethical concerns, and the need for teacher supervision and thoughtful use. It encourages balancing AI support with human guidance to maximize learning gains.

What’s Covered

• AI as a writing assistant (e.g., drafting ideas, improving structure, generating examples)

• AI as a conversation partner for speaking practice

• AI as a personalised tutor offering tailored feedback and support

• AI as a catalyst for learner motivation and confidence

• Ethical considerations (bias, privacy, fairness, over-reliance, responsible use)

• Choosing the best AI tools for learning (practical checklist for teachers)

• Overview of AI tools: writing assistants, chatbots, translation tools, feedback systems

• Evidence of benefits: more practice opportunities, personalised feedback, learner autonomy

• Risks and limitations: inaccuracies, shallow output, dependency, privacy concerns

• Guidance for teachers: how to integrate AI meaningfully with teacher support

Reference

Macinska, S., & Vinkler, A. (2025). The Role of AI in Language Learning: Research Evidence and Strategies for Success. Cambridge University Press & Assessment. https://www.cambridge.org/sites/default/files/media/documents/The_Role_of_AI_in_Language_Learning_Research_Evidence_and_Strategies.pdf