Hi, I am Xinyi Lu, a second-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).
My research interest lies in the intersection of Human-Computer Interaction, Computer Science and Education. Specifically, I'm interested in designing and developing Human-AI collaborative systems that supports the creation of high-quality educational content. This line of work includes systems that provides instructors with controllable AI assistance for designing quiz questions and worked examples, and a pipeline of using LLM-simulated students to evaluate and refine question items. Building on my experience of designing AI-based systems for education, I explore the desirable amount and form of AI assistant for educational content that facilitates active learning.
News
| 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 |
Publications
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