Published April 20, 2026 | Version 1.0.0
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Supplementary Materials for "Fast and Forgettable: A Controlled Study of Novices' Performance, Learning, Workload, and Emotion in AI-Assisted and Human Pair Programming Paradigms"

Authors/Creators

  • 1. ROR icon University of Virginia
  • 2. ROR icon Abilene Christian University
  • 3. ROR icon Aalto University
  • 4. ROR icon University of Auckland

Description

This resource contains files relevant to the paper “Fast and Forgettable: A Controlled Study
of Novices’ Performance, Learning, Workload, and Emotion in AI-Assisted and Human Pair
Programming Paradigm"

Files

a-README.pdf

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Additional details

Related works

Has part
Dataset: https://github.com/openai/human-eval (URL)
Is documented by
Preprint: 10.48550/arXiv.2107.03374 (DOI)

Funding

U.S. National Science Foundation
Graduate Research Fellowship Program (GRFP) 1842490
U.S. National Science Foundation
NRT: A Graduate Traineeship in Cyber Physical Systems 1829004
University of Virginia
Distinguished Fellowship

Software

Programming language
Python , Markdown , RMarkdown , R