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Active Repos : Integrating Generative AI Workflows into GitHub

Glassey, Richard (author)
KTH,Teoretisk datalogi, TCS
Baltatzis, Alexander (author)
KTH,Medieteknik och interaktionsdesign, MID
 (creator_code:org_t)
Association for Computing Machinery (ACM), 2024
2024
English.
In: ITiCSE 2024 - Proceedings of the 2024 Conference Innovation and Technology in Computer Science Education. - : Association for Computing Machinery (ACM). ; , s. 777-778
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • The aim of this work is to describe a simple and cost effective way to integrate generative AI into GitHub to support course specific scenarios. We are motivated by helping teachers realise their creative AI use cases in spite of technical barriers and also to ensure that students have a blessed and fair way to access AI services without needing to sign-up, prompt or pay. First we will describe a scenario that we have implemented for our own CS1 course, then we will describe the technical requirements for implementation. We finish off with our early thoughts on where these types of scenarios might be heading in terms of supporting computing education.

Subject headings

SAMHÄLLSVETENSKAP  -- Utbildningsvetenskap -- Pedagogiskt arbete (hsv//swe)
SOCIAL SCIENCES  -- Educational Sciences -- Pedagogical Work (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Automation
CS1
Generative AI
GitHub Actions

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Royal Institute of Technology

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