Benjamin Xie he|they

Postdoctoral Fellow

Stanford University

I design for equitable and ethical computing education.

I am an Embedded Ethics Postdoctoral Fellow at Stanford University’s Institute for Human-Centered AI and McCoy Family Center for Ethics in Society. My research interest is in designing critical and equitable human-data interactions for educational and environmental outcomes. I engage with computing education, human-computer interaction, and AI ethics research communities.

I completed my PhD at the University of Washington Information School with Prof. Amy Ko, where I was a National Science Foundation (NSF) Graduate Research Fellow and also a research intern at non-profit Code.org. Prior to my PhD, I was an MIT EECS-Google Research and Innovation Scholar as an undergraduate and Master’s student at MIT researching with Prof. Hal Abelson and MIT App Inventor.

For more information, see about me, projects, or CV.


  • Computing Education
  • Human-Computer Interaction (HCI)
  • Critical Data Studies
  • Artificial Intelligence, Ethics, and Society
  • Participatory Design


  • PhD in Information Science, 2022

    University of Washington

  • MEng in Computer Science, 2016

    Massachusetts Institute of Technology

  • BS in Computer Science, 2015

    Massachusetts Institute of Technology


Feb 2024: Presenting at Kapor Foundation

Presenting on my research on Critical AI Education. about Kapor Foundation

Feb 2024: Presented at University of Denver CS

Presented on my research on ‘Designing Critical and Equitable Human-Data Interactions’. about DU CS

Dec 2023: Students’ paper on tool to scaffold ChatGPT use for high school students accepted to AAAI EAAI 2024

Master’s students’ paper on tool to scaffold ChatGPT usage for high school language arts accepted to AAAI Symposium on Educational Advances in Artificial Intelligence. see paper

Dec 2023: Paper on GenAI curriculum co-design accepted to AAAI EAAI 2024

Paper on co-designing Generative AI curriculum with cross-disciplinary high school teachers accepted to AAAI Symposium on Educational Advances in Artificial Intelligence. see paper

Nov 2023: Paper on computing ethics instruction accepted to TOCE

Review of 40 years of research on ethics instruction in higher education computing courses accepted to the Transactions on Computing Education (TOCE) Journal! see paper


Addressing Environmental Data Inequities

Partnering with community organizations to build youth capacity to use data for environmental justice

AI and Computing Education

Research on teaching with and about AI

Critical Interpretations of Data

Designing opportunities for people to use data to identify and address structural inequities.

Equitable & Ethical Computing Education

Designing theory, strategies, and tools to make computing education more equitable and ethical.

Recent Papers

Teaching Ethics in Computing: A Systematic Literature Review of ACM Computer Science Education Publications

Synthesized findings from 40 years of ACM CS Education research on ethics instruction in higher education computing courses.

Developing Novice Programmers' Self-Regulation Skills with Code Replays

Designed tool that enabled replays of code writing process and found that its use improved novice programmers’ self-regulation behaviors when writing code.

Recent Posts

Job Calls for Research in CS & STEM Edu, HCI

Sharing a spreadsheet of job calls related to computing edu, STEM edu, HCI & edu research


Please reach out to me by email or Twitter direct message! If you are a Stanford affiliate, please send me a Slack direct message.