World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
12741
World Ranking
3455
National Ranking
1667

Research.com Recognitions

  • 2020 - ACM Senior Member

Overview

Amy J. Ko is affiliated with the University of Washington in the United States. Their research spans multiple aspects of computer science with a focus on education, software engineering, and child development related to digital technology.

Their main fields of study include Computer Science and Social Sciences. Within these, they contribute to several subfields, notably Computer Science Applications, Information Systems, Education, Safety Research, and Cognitive Neuroscience.

Their work covers various topics, among which are Teaching and Learning Programming, Online Learning and Analytics, Child Development and Digital Technology, Software Engineering Research, Gender and Technology in Education, Open Source Software Innovations, and Software Engineering Techniques and Practices.

Frequent co-authors in their collaborative research include Alannah Oleson, Stefania Druga, Jayne Everson, Renée McCauley, and F. Megumi Kivuva.

Regular publication venues for their research include:

  • ACM Transactions on Computing Education
  • ACM SIGCSE Bulletin
  • Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2
  • arXiv (Cornell University)
  • Interaction Design and Children

Among recent papers authored or co-authored by Amy J. Ko are:

  • "It is time for more critical CS education," 2020, Communications of the ACM
  • "How do children's perceptions of machine intelligence change when training and coding smart programs?", 2021, Interaction Design and Children
  • "Family as a Third Space for AI Literacies: How do children and parents learn about AI together?", 2022, CHI Conference on Human Factors in Computing Systems
  • "Towards understanding the effective design of automated formative feedback for programming assignments," 2021, Computer Science Education
  • "A Key to Reducing Inequities in Like, AI, is by Reducing Inequities Everywhere First," 2022, Proceedings of the 53rd ACM Technical Symposium on Computer Science Education

Amy J. Ko has been recognized as an ACM Senior Member since 2020, reflecting a professional standing within the computing research community.

Best Publications

  • An Exploratory Study of How Developers Seek, Relate, and Collect Relevant Information during Software Maintenance Tasks

    A.J. Ko;B.A. Myers;M.J. Coblenz;H.H. Aung

  • The state of the art in end-user software engineering

    Amy J. Ko;Robin Abraham;Laura Beckwith;Alan Blackwell

  • Six Learning Barriers in End-User Programming Systems

    A.J. Ko;B.A. Myers;Htet Htet Aung

  • Information Needs in Collocated Software Development Teams

    Andrew J. Ko;Robert DeLine;Gina Venolia

  • Designing the whyline: a debugging interface for asking questions about program behavior

    Amy J. Ko;Brad A. Myers

  • Debugging reinvented: asking and answering why and why not questions about program behavior

    Amy J. Ko;Brad A. Myers

  • Let's go to the whiteboard: how and why software developers use drawings

    Mauro Cherubini;Gina Venolia;Rob DeLine;Amy J. Ko

  • Debugging reinvented

    A.J. Ko;B.A. Myers

  • A practical guide to controlled experiments of software engineering tools with human participants

    Andrew J. Ko;Thomas D. Latoza;Margaret M. Burnett

  • Natural programming languages and environments

    Brad A. Myers;John F. Pane;Amy J. Ko

  • Eliciting design requirements for maintenance-oriented IDEs: a detailed study of corrective and perfective maintenance tasks

    A.J. Ko;Htet Htet Aung;B.A. Myers

  • A framework and methodology for studying the causes of software errors in programming systems

    Andrew J. Ko;Brad A. Myers

  • A Linguistic Analysis of How People Describe Software Problems

    A.J. Ko;B.A. Myers;Duen Horng Chau

  • Programming, Problem Solving, and Self-Awareness: Effects of Explicit Guidance

    Dastyni Loksa;Amy J. Ko;Will Jernigan;Alannah Oleson

  • Personifying programming tool feedback improves novice programmers' learning

    Michael J. Lee;Amy J. Ko

  • How designers design and program interactive behaviors

    B. Myers;S.Y. Park;Y. Nakano;G. Mueller

  • What Makes a Great Software Engineer?

    Unknown

  • Finding causes of program output with the Java Whyline

    Amy J. Ko;Brad A. Myers

  • Programmers Are Users Too: Human-Centered Methods for Improving Programming Tools

    Brad A. Myers;Andrew J. Ko;Thomas D. LaToza;YoungSeok Yoon

  • Invited research overview: end-user programming

    Brad A. Myers;Amy J. Ko;Margaret M. Burnett

  • Interactive record/replay for web application debugging

    Brian Burg;Richard Bailey;Amy J. Ko;Michael D. Ernst

  • Answering why and why not questions in user interfaces

    Brad A. Myers;David A. Weitzman;Amy J. Ko;Duen H. Chau

  • Examining task engagement in sensor-based statistical models of human interruptibility

    James Fogarty;Amy J. Ko;Htet Htet Aung;Elspeth Golden

Frequent Co-Authors

Brad A. Myers
Brad A. Myers Carnegie Mellon University
Margaret Burnett
Margaret Burnett Oregon State University
James Fogarty
James Fogarty University of Washington
Richard E. Ladner
Richard E. Ladner University of Washington
Mary Beth Rosson
Mary Beth Rosson Pennsylvania State University
Jacob O. Wobbrock
Jacob O. Wobbrock University of Washington
Duen Horng Chau
Duen Horng Chau Georgia Institute of Technology
Gregg Rothermel
Gregg Rothermel North Carolina State University
Rastislav Bodik
Rastislav Bodik University of Washington
William W. Kwok
William W. Kwok University of Washington

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