How AI is undermining learning and teaching in universities | Letter

2025-09-17 01:30:00 英文原文

In discussing generative artificial intelligence (‘It’s going to be a life skill’: educators discuss the impact of AI on university education, 13 September) you appear to underestimate the challenges that large language model (LLM) tools such as ChatGPT present to higher education. The argument that mastering AI is a life skill that students need in preparation for the labour market is unconvincing. Our experience is that generative AI undermines teaching and learning, bypasses reflection and criticality, and deflects students from reading original material.

Student misuse of generative AI is widespread. Claims that AI helps preparation or research is simply cover for students taking shortcuts that do not develop their learning skills. Assessments are widely channelled through ChatGPT, disregarding universities’ usually feeble guidance and rules. Generative AI results in generic, dull and often factually incorrect output.

For example, we asked students to interpret a short article by Henry Ford from 1922. Many answers suggested that the autocratic and racist Ford was developing a “sophisticated HR performance management function for his business” and that he was a “transformational leader”.

In many degree programmes, LLMs have little to no practical value. Their use sabotages and degrades students’ learning and undermines critical analysis and creativity. If we are to make better sense of the impact of AI on work, education and everyday life, we need to be more sceptical and less celebratory.
Prof Leo McCann
Prof Simon Sweeney
University of York

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摘要

The authors argue that generative AI tools like ChatGPT pose significant challenges to higher education by undermining teaching, learning, reflection, and critical thinking. They claim that students misuse these tools extensively, producing generic, often inaccurate work that bypasses the need for reading original materials and developing essential skills. The use of such tools in assessments disregards institutional guidelines and leads to superficial understanding and analysis, rendering AI a hindrance rather than a tool for deep learning across many degree programs.

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