Beyond Detection: Rethinking Education in the Age of AI-writing
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866914424690835456 |
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| author | Marina, Maria Panchenko, Alexander Konovalov, Vasily |
| author_facet | Marina, Maria Panchenko, Alexander Konovalov, Vasily |
| contents | As generative AI tools like ChatGPT enter classrooms, workplaces and everyday thinking, writing is at risk of becoming a formality -- outsourced, automated and stripped of its cognitive value. But writing is not just output; it is how we learn to think. This paper explores what is lost when we let machines write for us, drawing on cognitive psychology, educational theory and real classroom practices. We argue that the process of writing -- messy, slow, often frustrating -- is where a human deep learning happens. The paper also explores the current possibilities of AI-text detection, how educators can adapt through smarter pedagogy rather than bans, and why the ability to recognize machine-generated language may become a critical literacy of the 21st century. In a world where writing can be faked, learning can not. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_25329 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Beyond Detection: Rethinking Education in the Age of AI-writing Marina, Maria Panchenko, Alexander Konovalov, Vasily Computation and Language As generative AI tools like ChatGPT enter classrooms, workplaces and everyday thinking, writing is at risk of becoming a formality -- outsourced, automated and stripped of its cognitive value. But writing is not just output; it is how we learn to think. This paper explores what is lost when we let machines write for us, drawing on cognitive psychology, educational theory and real classroom practices. We argue that the process of writing -- messy, slow, often frustrating -- is where a human deep learning happens. The paper also explores the current possibilities of AI-text detection, how educators can adapt through smarter pedagogy rather than bans, and why the ability to recognize machine-generated language may become a critical literacy of the 21st century. In a world where writing can be faked, learning can not. |
| title | Beyond Detection: Rethinking Education in the Age of AI-writing |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2603.25329 |