@inproceedings{zhang-etal-2025-llm-based,
title = "{LLM}-Based Approaches for Detecting Gaming the System in Self-Explanation",
author = "Zhang, Jiayi (Joyce) and
Baker, Ryan S. and
McLaren, Bruce M.",
editor = "Wilson, Joshua and
Ormerod, Christopher and
Beiting Parrish, Magdalen",
booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers",
month = oct,
year = "2025",
address = "Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States",
publisher = "National Council on Measurement in Education (NCME)",
url = "https://aclanthology.org/2025.aimecon-main.10/",
pages = "91--98",
ISBN = "979-8-218-84228-4",
abstract = "This study compares two LLM-based approaches for detecting gaming behavior in students' open-ended responses within a math digital learning game. The sentence embedding method outperformed the prompt-based approach and was more conservative. Consistent with prior research, gaming correlated negatively with learning, highlighting LLMs' potential to detect disengagement in open-ended tasks."
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%0 Conference Proceedings
%T LLM-Based Approaches for Detecting Gaming the System in Self-Explanation
%A Zhang, Jiayi (Joyce)
%A Baker, Ryan S.
%A McLaren, Bruce M.
%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 2025
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-218-84228-4
%F zhang-etal-2025-llm-based
%X This study compares two LLM-based approaches for detecting gaming behavior in students’ open-ended responses within a math digital learning game. The sentence embedding method outperformed the prompt-based approach and was more conservative. Consistent with prior research, gaming correlated negatively with learning, highlighting LLMs’ potential to detect disengagement in open-ended tasks.
%U https://aclanthology.org/2025.aimecon-main.10/
%P 91-98
Markdown (Informal)
[LLM-Based Approaches for Detecting Gaming the System in Self-Explanation](https://aclanthology.org/2025.aimecon-main.10/) (Zhang et al., AIME-Con 2025)
ACL
- Jiayi (Joyce) Zhang, Ryan S. Baker, and Bruce M. McLaren. 2025. LLM-Based Approaches for Detecting Gaming the System in Self-Explanation. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 91–98, Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).