Bailing Lyu

Orcid: 0000-0002-6964-9081

According to our database1, Bailing Lyu authored at least 10 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Investigating perceived fairness of AI prediction system for math learning: A mixed-methods study with college students.
Internet High. Educ., 2025

The role of teachable agents' personality traits on student-AI interactions and math learning.
Comput. Educ., 2025

RICE AlgebraBot: Lessons learned from designing and developing responsible conversational AI using induction, concretization, and exemplification to support algebra learning.
Comput. Educ. Artif. Intell., 2025

Bridging the Gender Gap: The Role of AI-Powered Math Story Creation in Learning Outcomes.
Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Exploring the Role of Teachable AI Agents' Personality Traits in Shaping Student Interaction and Learning in Mathematics Education.
Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Who Should Be My Tutor? Analyzing the Interactive Effects of Automated Text Personality Styles Between Middle School Students and a Mathematics Chatbot.
Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Text-Based Teachable Agents in Math Learning: Examining the Effects of Tone and Emojis on Student-Agent Interaction and Knowledge Application.
Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024
Interplay Among Students' Technical, Social, and Content-Related Participation Patterns in an Online Mathematical Discussion Board.
Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Roles of Joining Time, Technology Use, and Social Interaction in Sustaining Student Participation in an Online Mathematics Discussion Board.
Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

2022
Preservice teachers' recognition of source and content bias in educational application (app) reviews.
Comput. Hum. Behav., 2022


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