Leveraging generative artificial intelligence errors to teach appropriate citation usage
Rishita Shah, JJ L. Miranda · 2026
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Description
Rishita Shah and JJ L Miranda turned a weakness of chatbots into a classroom lesson on honest citation. Published in 2026, the work starts from a familiar flaw: general-purpose language models invent references and misuse real ones. Fake-citation rates were reported from about one fifth to over nine tenths of references. Teachers need material that builds both AI literacy and writing skill at once.
The authors repurpose model errors as worked examples, asking students to spot fabricated references, correct misused real ones, and choose primary versus secondary sources well. Seeing errors firsthand shows a key limit of generative AI better than any warning could. The exercise also gives students a structure for practicing sound source use. Readers get a ready framework for teaching citation rigor in an age of fluent but unreliable machine text.
Catalog record
| CREATOR | Rishita Shah, JJ L. Miranda |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 12 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |