@inproceedings{raj-deng-2026-beyond,
title = "Beyond Volume: How Cognitive Fingerprints Predict Residual Gain in {AI} Tutoring",
author = "Raj, Aleena K and
Deng, Nina",
editor = "Wilson, Joshua and
Ormerod, Christopher and
Beiting-Parrish, Magdalen",
booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference ({AIME}-Con): Works in Progress",
month = oct,
year = "2026",
address = "Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States",
publisher = "National Council on Measurement in Education (NCME)",
url = "https://aclanthology.org/2026.aimecon-wip.33/",
pages = "260--266",
ISBN = "979-8-9983004-1-7",
abstract = "This study evaluates an AI tutoring tool in a pre-licensure exam preparation product. Using residual gain modeling, elastic-net feature selection, and Gaussian Mixture clustering on LLM-derived cognitive fingerprints, the study identifies meaningful learner profiles and shows that the cognitive depth of student{--}AI interaction, not volume, drives measurable learning gain."
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%0 Conference Proceedings
%T Beyond Volume: How Cognitive Fingerprints Predict Residual Gain in AI Tutoring
%A Raj, Aleena K.
%A Deng, Nina
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-1-7
%F raj-deng-2026-beyond
%X This study evaluates an AI tutoring tool in a pre-licensure exam preparation product. Using residual gain modeling, elastic-net feature selection, and Gaussian Mixture clustering on LLM-derived cognitive fingerprints, the study identifies meaningful learner profiles and shows that the cognitive depth of student–AI interaction, not volume, drives measurable learning gain.
%U https://aclanthology.org/2026.aimecon-wip.33/
%P 260-266
Markdown (Informal)
[Beyond Volume: How Cognitive Fingerprints Predict Residual Gain in AI Tutoring](https://aclanthology.org/2026.aimecon-wip.33/) (Raj & Deng, AIME-Con 2026)
ACL