The myth of the resistant teacher
A recent study suggests that language teachers are not responding to artificial intelligence in extreme ways. Rather than fully embracing or rejecting it, many are taking a more balanced and thoughtful approach. They are becoming pragmatic in how they use these tools, integrating them where useful while remaining cautious about their limitations.
In practice, this means that teachers are using AI primarily to handle repetitive or time consuming tasks. Lesson planning, material creation, and administrative work are increasingly supported by AI systems. This allows teachers to redirect their energy toward areas that have a greater impact on learning, such as student interaction, personalised feedback, and classroom engagement.
At the same time, there is a clear awareness of the risks. Many educators are drawing a distinction between AI as a support tool and AI as a shortcut. When used to assist learning, AI can be valuable. However, when it begins to generate answers or complete tasks on behalf of students, it can undermine the development of essential skills. This tension is becoming one of the central challenges in modern language education.
For ESL teachers in particular, this shift requires careful decision making. The question is no longer whether AI should be used, but how and where it should be integrated. Effective use of AI can reduce workload and improve efficiency. Poor use can weaken the learning process by removing the need for critical thinking and language production.
This evolving dynamic is also changing the role of the teacher. Rather than focusing primarily on content delivery, teachers are increasingly acting as learning designers who guide how and when tools are used. Their professional judgment is becoming more important, not less, in an AI supported environment.
Ultimately, AI is not transforming language education in a dramatic or uniform way. Instead, it is exposing underlying teaching practices. In strong classrooms, it enhances efficiency and frees up time for meaningful learning. In weaker contexts, it can amplify existing issues.
The more relevant question now is not whether AI belongs in the classroom, but where it genuinely improves learning and where it risks diminishing it.
