Rahul R. Divekar
Author directory2026
Exploring Asymmetric Academic Integrity Signals in Search- and LLM-Assisted Learning
Rahul R. Divekar
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
Rahul R. Divekar
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
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.