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Active Repos: Integrating Generative AI Workflows into GitHub
KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Teoretisk datalogi, TCS.ORCID-id: 0000-0002-8996-0221
KTH, Skolan för elektroteknik och datavetenskap (EECS), Människocentrerad teknologi, Medieteknik och interaktionsdesign, MID.ORCID-id: 0009-0002-0698-4808
2024 (engelsk)Inngår i: ITiCSE 2024 - Proceedings of the 2024 Conference Innovation and Technology in Computer Science Education, Association for Computing Machinery (ACM) , 2024, s. 777-778Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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.

sted, utgiver, år, opplag, sider
Association for Computing Machinery (ACM) , 2024. s. 777-778
Emneord [en]
Automation, CS1, Generative AI, GitHub Actions
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-351001DOI: 10.1145/3649405.3659517ISI: 001265872800012Scopus ID: 2-s2.0-85198647223OAI: oai:DiVA.org:kth-351001DiVA, id: diva2:1885676
Konferanse
29th Conference Innovation and Technology in Computer Science Education, ITiCSE 2024, Milan, Italy, Jul 8 2024 - Jul 10 2024
Merknad

Part of ISBN 9798400706035

QC 20240724

Tilgjengelig fra: 2024-07-24 Laget: 2024-07-24 Sist oppdatert: 2024-09-03bibliografisk kontrollert

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Glassey, RichardBaltatzis, Alexander

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Totalt: 126 treff
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