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    <abstract>In a within-subject study, students learned via search and LLMs, then wrote essays without them. Analyses show no detectable difference across stylometric and perplexity features; AI detection probability is tool-dependent; plagiarism overlap is higher after search. Results suggest asymmetric detection signals across learning pathways, with implications for interpreting academic integrity tools.</abstract>
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%0 Conference Proceedings
%T Exploring Asymmetric Academic Integrity Signals in Search- and LLM-Assisted Learning
%A Divekar, Rahul R.
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-0-0
%F divekar-2026-exploring
%X In a within-subject study, students learned via search and LLMs, then wrote essays without them. Analyses show no detectable difference across stylometric and perplexity features; AI detection probability is tool-dependent; plagiarism overlap is higher after search. Results suggest asymmetric detection signals across learning pathways, with implications for interpreting academic integrity tools.
%U https://aclanthology.org/2026.aimecon-main.22/
%P 204-211

Markdown (Informal)

[Exploring Asymmetric Academic Integrity Signals in Search- and LLM-Assisted Learning](https://aclanthology.org/2026.aimecon-main.22/) (Divekar, AIME-Con 2026)

• Exploring Asymmetric Academic Integrity Signals in Search- and LLM-Assisted Learning (Divekar, AIME-Con 2026)

ACL

• Rahul R. Divekar. 2026. Exploring Asymmetric Academic Integrity Signals in Search- and LLM-Assisted Learning. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 204–211, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).