Contextualizing Problems to Student Interests at Scale in Intelligent Tutoring System Using Large Language Models. - Gautam Yadav; Ying-Jui Tseng; Xiaolin Ni (LLM@AIED, 2023)

LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs. - Tongshuang Wu; Haiyi Zhu; Maya Albayrak; Alexis Axon; Amanda Bertsch; Wenxing Deng; Ziqi Ding; Bill Guo; Sireesh Gururaja; Tzu-Sheng Kuo; Jenny T. Liang; Ryan Liu 001; et al. (CoRR, 2023)

Development of a model for the prediction of biological age. - Xiaolin Ni; Hanqing Zhao; Rongqiao Li; Huabin Su; Juan Jiao; Ze Yang; Yuan Lv; Guofang Pang; Meiqi Sun; Caiyou Hu; Huiping Yuan (Comput. Methods Programs Biomed., 2023)

Investigating Racial and Ethnic Differences in Learning with a Digital Game and Tutor for Decimal Numbers. - Xiaolin Ni; Huy Anh Nguyen; Nicole Else-Quest; Alessandro Pagano; Bruce M. McLaren (EC-TEL (1), 2024)

LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs. - Tongshuang Wu; Haiyi Zhu; Maya Albayrak; Alexis Axon; Amanda Bertsch; Wenxing Deng; Ziqi Ding; Boyuan Guo; Sireesh Gururaja; Tzu-Sheng Kuo; Jenny T. Liang; Ryan Liu 001; et al. (CHI Extended Abstracts, 2025)