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Andrew Luxton-Reilly

Andrew Luxton-Reilly

D-Index & Metrics

Computer Science

D-Index
45
Citations
7798
World Ranking
7240
National Ranking
18

Overview

Andrew Luxton-Reilly is affiliated with the University of Auckland in New Zealand and has contributed extensively to the field of computer science, focusing heavily on educational aspects and software engineering research. Their work spans a total of 48 publications within computer science, with a notable emphasis on computer science applications and information systems.

Their research touches on various subfields, including:

  • Computer Science Applications
  • Information Systems
  • Developmental and Educational Psychology
  • Information Systems and Management
  • Safety Research

The main research topics addressed by Luxton-Reilly include:

  • Teaching and Learning Programming
  • Online Learning and Analytics
  • Software Engineering Research
  • Educational Games and Gamification
  • Scientific Computing and Data Management
  • Ethics and Social Impacts of AI
  • Software Testing and Debugging Techniques

Luxton-Reilly has frequently published in several venues, predominantly in:

  • arXiv (Cornell University)
  • ACM Transactions on Computing Education
  • Communications of the ACM
  • ACM Transactions on Computer-Human Interaction
  • Education and Information Technologies

Recent papers illustrate the scope and focus of their research. These include:

  • Computing Education in the Era of Generative AI (2024, Communications of the ACM)
  • "It's Weird That it Knows What I Want": Usability and Interactions with Copilot for Novice Programmers (2023, ACM Transactions on Computer-Human Interaction)
  • Gamification of Student Peer Review in Education: A Systematic Literature Review (2020, Education and Information Technologies)
  • A Review of Peer Code Review in Higher Education (2020, ACM Transactions on Computing Education)
  • Evaluating a Large Language Model's Ability to Solve Programming Exercises from an Introductory Bioinformatics Course (2023, PLoS Computational Biology)

Collaboratively, Luxton-Reilly has worked with several recurring co-authors, including:

  • Paul Denny
  • James Prather
  • Juho Leinonen
  • Brett A. Becker
  • Brent N. Reeves

Best Publications

  • A systematic review of Virtual Reality in education

    Sam Kavanagh;Andrew Luxton-Reilly;Burkhard Wuensche;Beryl Plimmer

  • Introductory programming: a systematic literature review

    Andrew Luxton-Reilly;Simon;Ibrahim Albluwi;Brett A. Becker

  • The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming

    Unknown

  • Bloom's taxonomy for CS assessment

    Errol Thompson;Andrew Luxton-Reilly;Jacqueline L. Whalley;Minjie Hu

  • Programming Is Hard - Or at Least It Used to Be

    Unknown

  • PeerWise: students sharing their multiple choice questions

    Paul Denny;John Hamer;Andrew Luxton-Reilly;Helen Purchase

  • Evaluating a new exam question: Parsons problems

    Paul Denny;Andrew Luxton-Reilly;Beth Simon

  • Intelligent tutoring systems for programming education: a systematic review

    Tyne Crow;Andrew Luxton-Reilly;Burkhard Wuensche

  • All syntax errors are not equal

    Paul Denny;Andrew Luxton-Reilly;Ewan Tempero

  • The PeerWise system of student contributed assessment questions

    Paul C. Denny;Andrew Luxton-Reilly;John Hamer

  • Understanding the syntax barrier for novices

    Paul Denny;Andrew Luxton-Reilly;Ewan Tempero;Jacob Hendrickx

  • My AI Wants to Know if This Will Be on the Exam: Testing OpenAI’s Codex on CS2 Programming Exercises

    Unknown

  • Contributing student pedagogy

    John Hamer;Quintin Cutts;Jana Jackova;Andrew Luxton-Reilly

  • “It’s Weird That it Knows What I Want”: Usability and Interactions with Copilot for Novice Programmers

    Unknown

  • Enhancing syntax error messages appears ineffectual

    Paul Denny;Andrew Luxton-Reilly;Dave Carpenter

  • A Systematic Review of Tools that Support Peer Assessment

    Andrew Luxton-Reilly

  • Learning to Program is Easy

    Andrew Luxton-Reilly

  • Prompt Problems: A New Programming Exercise for the Generative AI Era

    Unknown

  • CodeWrite: supporting student-driven practice of java

    Paul Denny;Andrew Luxton-Reilly;Ewan Tempero;Jacob Hendrickx

  • Investigating pair-programming in a 2nd-year software development and design computer science course

    Emilia Mendes;Lubna Basil Al-Fakhri;Andrew Luxton-Reilly

  • Research perspectives on the objects-early debate

    Raymond Lister;Anders Berglund;Tony Clear;Joe Bergin

  • Developing Assessments to Determine Mastery of Programming Fundamentals

    Andrew Luxton-Reilly;Brett A. Becker;Yingjun Cao;Roger McDermott

  • A replicated experiment of pair-programming in a 2nd-year software development and design computer science course

    Emilia Mendes;Lubna Al-Fakhri;Andrew Luxton-Reilly

  • Creating 360° educational video: a case study

    Sam Kavanagh;Andrew Luxton-Reilly;Burkhard Wüensche;Beryl Plimmer

  • Student use of the PeerWise system

    Paul Denny;Andrew Luxton-Reilly;John Hamer

Frequent Co-Authors

Helen C. Purchase
Helen C. Purchase Monash University
Michail N. Giannakos
Michail N. Giannakos Norwegian University of Science and Technology
Emilia Mendes
Emilia Mendes Aarhus University
John Hosking
John Hosking University of Auckland
Beth Simon
Beth Simon University of California, San Diego
Raymond Lister
Raymond Lister University of Technology Sydney

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