@inproceedings{meng-etal-2026-mist,
title = "{MIST}: Misconception Identification and Sycophancy Tracking",
author = "Meng, Lionel and
Tong, Lingbo and
Zhang, Icy",
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.43/",
pages = "335--343",
ISBN = "979-8-9983004-1-7",
abstract = "This study investigates effective use of AI models as statistics tutors. Specifically, how to promote accurate student misconception identification, elicit active student cognition, and provide trustworthy responses. Initial findings from explorations of prompting strategies and indicators of sycophantic behavior with emphasis on model reasoning traces in simulated conversations are discussed."
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%0 Conference Proceedings
%T MIST: Misconception Identification and Sycophancy Tracking
%A Meng, Lionel
%A Tong, Lingbo
%A Zhang, Icy
%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 meng-etal-2026-mist
%X This study investigates effective use of AI models as statistics tutors. Specifically, how to promote accurate student misconception identification, elicit active student cognition, and provide trustworthy responses. Initial findings from explorations of prompting strategies and indicators of sycophantic behavior with emphasis on model reasoning traces in simulated conversations are discussed.
%U https://aclanthology.org/2026.aimecon-wip.43/
%P 335-343
Markdown (Informal)
[MIST: Misconception Identification and Sycophancy Tracking](https://aclanthology.org/2026.aimecon-wip.43/) (Meng et al., AIME-Con 2026)
ACL
- Lionel Meng, Lingbo Tong, and Icy Zhang. 2026. MIST: Misconception Identification and Sycophancy Tracking. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 335–343, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).