Specializations

  • Artificial Intelligence
  • Human-Computer Interaction
  • Computing Education

Biography

I design interfaces to explore interpretations and uses of data for equity in computing education. I engage with the fields of human-computer interaction (HCI), computing education, and learning at scale.

Education

  • 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
  • INTERN - National Science Foundation, 2020-2020
  • Graduate Research Fellowship - National Science Foundation (NSF), 2016

Publications and Contributions

  • Journal Article, Academic Journal
    How data can support equity in computing education (2020)
    XRDS: Crossroads, The ACM Magazine for Students, Volume 27, Issue 2, Page 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, Volume 63, Issue 11, Page 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, Volume 27, Issue 5, Page 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, Volume 29, Issue 2-3, Page 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, Page 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