Hi, I am Xinyi Lu, a third-year PhD student at University of Michigan, advised by Prof. Xu Wang. Before that, I got my B.S degree from both University of Michigan (majoring in Computer Science), and Shanghai Jiao Tong University (majoring in Electrical and Computer Engineering).
I'm interested in AI in Education, My research focuses on designing assistance for creating high-quality educational content, which ultimately supports students in developing expertise for complex and challenging tasks. Specifically, drawing on theories and methods from Learning Science and AI Interpretability, I design AI assistance that aligns with experts’ cognitive processes, while preserving their full agency throughout the process. I also investigate how effective the human-AI co-created educational content is for learning. To design and evaluate these innovations, I apply both qualitative lab studies and large-scale classroom studies.
News
| July, 2025 | I will present our work on exploring LLM-Generated feedback on knowledge-intensive essays at AIED 2025 |
| April, 2025 | I will attend NCME Annual Meeting and CHI 2025 |
| July, 2024 | I will present Generative Student at L@S 2024 in Atlanta |
| August, 2023 | Graduated from SJTU 🎓 |
| April, 2023 | ReadingQuizMaker won Best Paper Honorable Mention Awards at CHI 2023 🏆 |
| April, 2023 | I will present ReadingQuizMaker at CHI 2023 in Hamburg |
Selected Publications
Xinyi Lu, Aditya Mahesh*, Zejia Shen*, Mitchell Dudley, Larissa Sano, Xu Wang
AIED'2025
paper
Xinyi Lu, Xu Wang
Learning@Scale'2024
paper
Games
Recreated the Level 1 of The Legend of Zelds by NES in the unity game engine, and added a new level with Michigan snow in it.
Play it here
A party game of cats and dogs rivalry created with Unity game engin. Players play as a cat and a dog and build their own game map to seize the flag and claim victory. With an intuitive block-building system, players can design and customize their own unique game maps, complete with obstacles, traps, and other challenges.
Download it here