| 1. |
- Bobadilla, Sofia, et al.
(author)
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SOBO : A Feedback Bot to Nudge Code Quality in Programming Courses
- 2024
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In: IEEE Software. - : Institute of Electrical and Electronics Engineers (IEEE). - 0740-7459 .- 1937-4194. ; 41:2, s. 68-76
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Journal article (peer-reviewed)abstract
- This paper presents SOBO, a bot we designed to automatically provide feedback on code quality to undergraduate students. SOBO has been deployed in a course at the KTH Royal Institute of Technology in Sweden with more than 130 students.
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| 2. |
- Glassey, Richard, et al.
(author)
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Active Repos : Integrating Generative AI Workflows into GitHub
- 2024
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In: ITiCSE 2024 - Proceedings of the 2024 Conference Innovation and Technology in Computer Science Education. - : Association for Computing Machinery (ACM). ; , s. 777-778
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Conference paper (peer-reviewed)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.
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| 3. |
- Izu, Cruz, et al.
(author)
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Introducing Code Quality in the CS1 Classroom
- 2024
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In: ITiCSE 2024 - Proceedings of the 2024 Conference Innovation and Technology in Computer Science Education. - : Association for Computing Machinery (ACM). ; , s. 773-774
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Conference paper (peer-reviewed)abstract
- Characterising code quality is a challenge that was addressed by Börstler et al.’s working group in 2017. As emerged from their study, educators, developers and students have different perceptions of the manifold aspects involved, and a major conclusion of that WG was that “code quality should be discussed more thoroughly in educational programs” [2, p. 70]. However, the lack of materials and the time constraints have slowed down progress in that regard. The goal of this working group is to propose manageable ways to address code quality in the CS1 classroom, with a particular focus on activities that help students become aware of and improve the quality of their code. To achieve this goal, we will (a) extract from the literature a comprehensive set of quality issues which will then be classified according to the appropriate strategies to fix them; and (b) circulate a survey to explore the instructors’ views on code quality issues and the way they deal with (or ignore) them. Based on this work we aim to produce: (1) a taxonomy of code quality issues with associated examples, as well as (2) a sample set of teaching materials to introduce those issues to CS1 students.
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