# The Role of Generative AI in Software Student CollaborAItion

arXiv: https://arxiv.org/abs/2501.14084 · HTML: https://mlsanity.com/paper/2501.14084/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 13 of its 59 references that are in the map.
- First posted on arXiv 23 Jan 2025.

## Builds on (most cited first, 13 of 13)

- [Generative Agents: Interactive Simulacra of Human Behavior](https://mlsanity.com/paper/2304.03442/) (2023)
- [Harms from Increasingly Agentic Algorithmic Systems](https://mlsanity.com/paper/2302.10329/) (2023)
- [The Robots are Here: Navigating the Generative AI Revolution in Computing Education](https://mlsanity.com/paper/2310.00658/) (2023)
- [Visibility into AI Agents](https://mlsanity.com/paper/2401.13138/) (2024)
- [Prompt Problems: A New Programming Exercise for the Generative AI Era](https://mlsanity.com/paper/2311.05943/) (2023)
- [Exploring the Potential of Large Language Models to Generate Formative Programming Feedback](https://mlsanity.com/paper/2309.00029/) (2023)
- [The Effects of Generative AI on Computing Students' Help-Seeking Preferences](https://mlsanity.com/paper/2401.02262/) (2024)
- [Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators](https://mlsanity.com/paper/2307.16364/) (2023)
- [Feedback-Generation for Programming Exercises With GPT-4](https://mlsanity.com/paper/2403.04449/) (2024)
- [Analyzing Chat Protocols of Novice Programmers Solving Introductory Programming Tasks with ChatGPT](https://mlsanity.com/paper/2405.19132/) (2024)
- [Evaluating Language Models for Generating and Judging Programming Feedback](https://mlsanity.com/paper/2407.04873/) (2024)
- [Student Perspectives on Using a Large Language Model (LLM) for an Assignment on Professional Ethics](https://mlsanity.com/paper/2406.11858/) (2024)
- [Exploring Gender Bias in Remote Pair Programming among Software Engineering Students: The twincode Original Study and First External Replication](https://mlsanity.com/paper/2303.05995/) (2023)

## Built on by (most cited first, 2 of 2)

- [Students' Feedback Requests and Interactions with the SCRIPT Chatbot: Do They Get What They Ask For?](https://mlsanity.com/paper/2507.17258/) (2025)
- [GenAI Voice Mode in Programming Education](https://mlsanity.com/paper/2509.10596/) (2025)

## Abstract (arXiv)

Collaboration is a crucial part of computing education. The increase in AI capabilities over the last couple of years is bound to profoundly affect all aspects of systems and software engineering, including collaboration. In this position paper, we consider a scenario where AI agents would be able to take on any role in collaborative processes in computing education. We outline these roles, the activities and group dynamics that software development currently include, and discuss if and in what way AI could facilitate these roles and activities. The goal of our work is to envision and critically examine potential futures. We present scenarios suggesting how AI can be integrated into existing collaborations. These are contrasted by design fictions that help demonstrate the new possibilities and challenges for computing education in the AI era.