Preservice teachers' recognition of source and content bias in educational application (app) reviews. - Alexandra List; Hye Yeon Lee; Hongcui Du; Gala S. Campos Oaxaca; Bailing Lyu; A. Lilyan Falcon; Chang-Jen Lin (Comput. Hum. Behav., 2022)

Roles of Joining Time, Technology Use, and Social Interaction in Sustaining Student Participation in an Online Mathematics Discussion Board. - Bailing Lyu; Chenglu Li; Hai Li; Wanli Xing (L@S, 2024)

Interplay Among Students' Technical, Social, and Content-Related Participation Patterns in an Online Mathematical Discussion Board. - Bailing Lyu; Chenglu Li; Hai Li; Wanli Xing (L@S, 2024)

Text-Based Teachable Agents in Math Learning: Examining the Effects of Tone and Emojis on Student-Agent Interaction and Knowledge Application. - Bailing Lyu; Chenglu Li; Hai Li; Wanli Xing; Gökhan Gülfidan; Linlin Wu (AIED (4), 2025)

Who Should Be My Tutor? Analyzing the Interactive Effects of Automated Text Personality Styles Between Middle School Students and a Mathematics Chatbot. - Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Bailing Lyu; Fan Zhang 118; Zifeng Liu (LAK, 2025)

Exploring the Role of Teachable AI Agents' Personality Traits in Shaping Student Interaction and Learning in Mathematics Education. - Bailing Lyu; Chenglu Li; Hai Li; Hyunju Oh; Yukyeong Song; Wangda Zhu; Wanli Xing (LAK, 2025)

Bridging the Gender Gap: The Role of AI-Powered Math Story Creation in Learning Outcomes. - Wangda Zhu; Wanli Xing; Bailing Lyu; Chenglu Li; Fan Zhang 118; Hai Li (LAK, 2025)

RICE AlgebraBot: Lessons learned from designing and developing responsible conversational AI using induction, concretization, and exemplification to support algebra learning. - Chenglu Li; Wanli Xing; Yukyeong Song; Bailing Lyu (Comput. Educ. Artif. Intell., 2025)

The role of teachable agents' personality traits on student-AI interactions and math learning. - Bailing Lyu; Chenglu Li; Hai Li; Hyunju Oh; Yukyeong Song; Wangda Zhu; Wanli Xing (Comput. Educ., 2025)

Investigating perceived fairness of AI prediction system for math learning: A mixed-methods study with college students. - Yukyeong Song; Chenglu Li; Wanli Xing; Bailing Lyu; Wangda Zhu (Internet High. Educ., 2025)