Transformed by Transformers: Navigating the AI Coding Revolution for Computing Education: An ITiCSE Working Group Conducted by Humans

James Prather*, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michael E. Caspersen, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Petersen, Raymond Pettit, Brent N. Reeves, Jaromir Savelka

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

The recent advent of highly accurate and scalable large language models (LLMs) has taken the world by storm. From art to essays to computer code, LLMs are producing novel content that until recently was thought only humans could produce. Recent work in computing education has sought to understand the capabilities of LLMs for solving tasks such as writing code, explaining code, creating novel coding assignments, interpreting programming error messages, and more. However, these technologies continue to evolve at an astonishing rate leaving educators little time to adapt. This working group seeks to document the state-of-the-art for code generation LLMs, detail current opportunities and challenges related to their use, and present actionable approaches to integrating them into computing curricula.

Original languageEnglish
Title of host publicationITiCSE 2023 - Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education
PublisherAssociation for Computing Machinery
Pages561-562
Number of pages2
ISBN (Electronic)9798400701399
DOIs
Publication statusPublished - 29 Jun 2023
Event28th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2023 - Turku, Finland
Duration: 8 Jul 202312 Jul 2023

Publication series

NameAnnual Conference on Innovation and Technology in Computer Science Education, ITiCSE
Volume2
ISSN (Print)1942-647X

Conference

Conference28th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2023
Country/TerritoryFinland
CityTurku
Period8/07/2312/07/23

Keywords

  • AI
  • artificial intelligence
  • code generation
  • codex
  • computer programming
  • copilot
  • CS1
  • GitHub
  • GPT
  • large language models
  • LLM
  • novice programming
  • openAI
  • pedagogical practices

Fingerprint

Dive into the research topics of 'Transformed by Transformers: Navigating the AI Coding Revolution for Computing Education: An ITiCSE Working Group Conducted by Humans'. Together they form a unique fingerprint.

Cite this