Specializations

  • Human-Computer Interaction
  • Computing Education
  • Data Science

Biography

Benjamin “Benji” Xie (pronounced ‘she’ + ‘eh’) is a postdoctoral fellow at the University of Washington Information School, mentored by Prof. Amy J. Ko. Benjamin designs and evaluates ways to use data to support equity and justice in educational contexts. He publishes his work to computing education and human-computer interaction communities. He received his PhD in information science from the University of Washington, where he was a National Science Foundation (NSF) Graduate Research Fellow and also a research intern with nonprofit Code.org. His doctoral research explored stakeholders’ interpretations of data for equitable computing education. He received his Master’s and undergraduate degrees in computer science from MIT, where he was an MIT EECS-Google Research and Innovation Scholar researching with Prof. Hal Abelson and MIT App Inventor.

Education

  • Ph D, Information Science, University of Washington, 2021
  • MS, Information Science, University of Washington, 2019
  • MEng, Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2016
  • BS, Computer Science & Engineering, Massachusetts Institute of Technology, 2015

Awards

  • Academic Research Grant - Google Cloud, 2020-2021
  • Husky 100 - University of Washington, 2021
  • Marcy Migdal Fund for Educational Equality, Honorable Mention - University of Washington, 2021
  • INTERN - National Science Foundation, 2020-2020
  • Graduate Research Fellowship - National Science Foundation (NSF), 2016

Publications and Contributions

  • Conference Paper
    A Decade of Demographics in Computing Education Research: A Critical Review of Trends in Collection, Reporting, and Use (2022)
    ACM Conference on International Computing Education Research (ICER) 2022 Authors: Alannah Oleson, Benjamin Xie, Jean Salac, Jayne Everson, Megumi Kivuva, Amy J. Ko
  • Journal Article, Academic Journal
    Surfacing Equity Issues in Large Computing Courses with Peer-Ranked, Demographically-Labeled Student Feedback (2022)
    Proceedings of the ACM on Human-Computer Interaction (CSCW 2022) Authors: Benjamin Xie, Alannah Oleson, Jayne Everson, Amy J. Ko
  • Conference Paper
    Domain Experts’ Interpretations of Assessment Bias in a Scaled, Online Computer Science Curriculum (2021)
    Eighth ACM Conference on Learning @ Scale (L@S), 29(Unknown Issue) Authors: Benjamin Xie, Matt J Davidson, Baker Franke, Emily McLeod, Min Li, Amy J. Ko,
  • Journal Article, Academic Journal
    How data can support equity in computing education (2020)
    XRDS: Crossroads, The ACM Magazine for Students, 27(2), pp. 48--52 Author: Benjamin Xie
  • Conference Paper
    Investigating Novices' In Situ Reflections on Their Programming Process (2020)
    SIGCSE Authors: Dastyni Loksa, Benjamin Xie, Harrison Kwik, Amy J. Ko
  • Journal Article, Academic Journal
    It Is Time for More Critical CS Education (2020)
    Communications of the ACM, 63(11), pp. 31-33, ISBN/ISSN: 0001-0782 Authors: Amy J. Ko, Alannah Oleson, Neil Ryan, Yim Register, Benjamin Xie, Mina Tari, Matthew Davidson, Stefania Druga, Dastyni Loksa
  • Journal Article, Academic Journal
    Learning and Education in HCI: A Reflection on the SIG at CHI 2019 (2020)
    Interactions, 27(5), pp. 6--7 Authors: Viktoria Pammer-Schindler, Erik Harpstead, Benjamin Xie, Betsy DiSalvo, Ahmed Kharrufa, Petr Slovak, Amy Ogan, Joseph Jay Williams, Michael Lee
  • Conference Paper
    The Effect of Informing Agency in Self-Directed Online Learning Environments (2020)
    Learning @ Scale Authors: Benjamin Xie, Greg L Nelson, Harshitha Akkaraju, William Kwok, Amy J. Ko
  • Journal Article, Academic Journal
    A theory of instruction for introductory programming skills (2019)
    Computer Science Education, 29(2-3), pp. 205-253, ISBN/ISSN: 0899-3408 Authors: Benjamin Xie, Dastyni Loksa, Greg L. Nelson, Matthew J. Davidson, Dongsheng Dong, Harrison Kwik, Alex Hui Tan, Leanne Hwa, Min Li, Amy J. Ko
  • Conference Paper
    An Item Response Theory Evaluation of a Language-Independent CS1 Knowledge Assessment (2019)
    SIGCSE, pp. 699--705 Authors: Benjamin Xie, Matthew J Davidson, Min Li, Amy J. Ko
  • Conference Extended Abstract
    Learning, Education, and HCI (2019)
    Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems Authors: Benjamin Xie, Erik Harpstead, Betsy DiSalvo, Petr Slovak, Ahmed Kharrufa, Michael Lee, Viktoria Pammer-Schindler, Amy Ogan, Joseph Jay Williams
  • Conference Paper
    Towards a validated formative assessment for language-specific program tracing skills (2019)
    Koli Calling Authors: Greg L Nelson, Benjamin Xie, Andrew Hu, Amy J. Ko
  • Conference Paper
    An Explicit Strategy to Scaffold Novice Program Tracing (2018)
    SIGCSE 2018 Authors: Amy J. Ko, Benjamin Xie, Greg Nelson
  • Conference Paper
    Experiences of Computer Science Transfer Students (2018)
    ACM International Computing Education Research Conference (ICER) Authors: Harrison Kwik, Benjamin Xie, Amy J. Ko
  • Conference Paper
    Comprehension First: Evaluating a Novel Pedagogy and Tutoring System for Program Tracing in CS1 (2017)
    International Computing Education Research (ICER) Authors: Gregory L Nelson, Benjamin Xie, Amy J. Ko