AI and Academic Integrity

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ID: 323722
2026
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Abstract
This part examines how academic integrity principles apply to the use of generative AI in coursework. It emphasizes appropriate decision-making, accurate documentation, and awareness of institutional AI policies. Guidance is provided on distinguishing between AI use that supports learning and use that undermines it, as well as strategies for effective communication with lecturers. Ethical frameworks are introduced to navigate complex scenarios, ensuring alignment with professional standards. These practices strengthen responsible AI use and prepare learners for both academic achievement and workplace expectations.
Reference Key
openalex_W7172383763 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Dr. Anand Rao, Stefan Bauschard
Journal Oxford University Press eBooks
Year 2026
DOI
10.1093/hepl/9780197921845.003.0002
URL
https://doi.org/10.1093/hepl/9780197921845.003.0002
Keywords Keywords not found

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