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Active Repos: Integrating Generative AI Workflows into GitHub

Published: 08 July 2024 Publication History

Abstract

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.

References

[1]
R. Glassey. 2019. Adopting Git/Github within teaching: A survey of tool support. In Proceedings of the ACM Conference on Global Computing Education. 143--149. https://doi.org/10.1145/3300115.3309518
[2]
C. Hsing and V. Gennarelli. 2019. Using GitHub in the classroom predicts student learning outcomes and classroom experiences: Findings from a survey of students and teachers. In Proc. of the 50th ACM Technical Symposium on Computer Science Education. 672--678. https://doi.org/10.1145/3287324.3287460
[3]
J. Prather, P. Denny, J. Leinonen, B. A. Becker, I. Albluwi, M. Craig, H. Keuning, N. Kiesler, T. Kohn, A. Luxton-Reilly, et al. 2023. The robots are here: Navigating the generative ai revolution in computing education. In Proc. of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education. 108--159. https://doi.org/10.1145/3623762.3633499

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Published In

cover image ACM Conferences
ITiCSE 2024: Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2
July 2024
125 pages
ISBN:9798400706035
DOI:10.1145/3649405
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 July 2024

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Author Tags

  1. CS1
  2. GitHub actions
  3. automation
  4. generative AI

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ITiCSE 2024
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Overall Acceptance Rate 552 of 1,613 submissions, 34%

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ITiCSE '25
Innovation and Technology in Computer Science Education
June 27 - July 2, 2025
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