Using AI Tools in Academic Work
What generative AI may and may not be used for in assessed work, how institutions define misuse, and how to disclose permitted use without guessing.
Academic Tools
The tools that matter at university are the ones that reduce a recurring cost: finding a source again, rebuilding a bibliography by hand at 2am, or reconstructing what a lecture actually argued three months later. Most students adopt tools in the wrong order — an elaborate note system before a citation manager, when the citation manager saves more hours per term.
This section compares the tools that genuinely earn their place, including the three main reference managers and their real trade-offs around cost, collaboration and data ownership, and the note-taking systems that suit different kinds of course. It also covers the fastest-moving area in academic practice: what generative AI tools may and may not be used for in assessed work, how institutions detect and define misuse, and how to disclose use correctly where it is permitted.
Academic integrity rules are set by your institution and they vary widely. We explain the common frameworks; your own course handbook overrides everything here.
Articles in Academic Tools
Citation Managers Compared
Zotero, Mendeley and EndNote — real trade-offs on cost, ownership, collaboration and Word integration, and how to pick one before your bibliography becomes a crisis.