Hello, I'm —

Jialing Wu

I am a Ph.D. student in Engineering Education (minor in Computer Science & Engineering, AI track) at The Ohio State University, advised by Dr. Adam Carberry. Before entering academia, I spent five years as a consultant in the education sector, recruiting for international schools and K-12 organizations — work that gave me a front-row view of who gets access to quality education and who gets left behind. That question brought me to research.

I study how emerging technologies such as AI and robotics are reshaping engineering and STEM education, from classroom teaching to education policy, with a focus on equity and access. My work combines qualitative and critical quantitative methods with AI-assisted analysis.

Jialing Wu
Be humble, be confident.
Education
The Ohio State University
Ph.D. Engineering Education · 2024–2028
Vanderbilt University
M.Ed. Intl. Education Policy · 2022–2024
Shanghai University
B.E. Mechanical Engineering · 2013–2017
drag them around — they follow gravity
Research

Emerging Technologies in the Classroom

How teachers and students take up robotics and AI in engineering and STEM classrooms.

→ classroom

Education Policy

How states, schools, and universities make and implement policy on new technologies, with a focus on equity and access.

→ policy

Research Methods

Combining qualitative and critical quantitative methods with AI-assisted analysis.

→ methods
Latest News
Nov 2026
Too Deep or Too Shallow published in Teaching Educational Research Methods, 1(2).
Nov 2026
At APPAM 2026 (Boston, MA) — presented a poster on teachers as AI policy actors, served as a discussant, and facilitated an AI Peer Learning Lab session.
Oct 2026
Selected as a facilitator for the APPAM AI Peer Learning Lab, leading From Reddit to Policy Insights: Using AI to Summarize Public Opinion on Robotics Courses.
All news & archive →