• Twitter
• Email
• Google Scholar
• Linkedin
• CV

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 work focuses on designing AI tools and human-AI interactions to facilitate experts in creating educational content, which ultimately supports students in developing expertise for complex and challenging tasks. To achieve this, I design and develop AI assistance that follows effective learning practices, and aligns with and augments human experts' cognitive processes, while preserving user agency, grounded in the following questions:

• How can we help human experts externalize and transfer their tacit knowledge to students (through educational contents) and to AI systems (through input)?
• How to design AI assistance and human-AI interactions that blend into experts natural workflow, augmenting rather than disrupting their process?

To design and evaluate these innovations, I apply both qualitative lab studies and large-scale classroom studies.