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Speeding up design and making to reduce time-to-project and time-to-market: an AI-Enhanced approach in engineering education

arXiv 2503.16307 ↗First posted 20 Mar 2025cs.AIcited by 0

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Abstract (arXiv)

This paper explores the integration of AI tools, such as ChatGPT and GitHub Copilot, in the Software Architecture for Embedded Systems course. AI-supported workflows enabled students to rapidly prototype complex projects, emphasizing real-world applications like SLAM robotics. Results demon-started enhanced problem-solving, faster development, and more sophisticated outcomes, with AI augmenting but not replacing human decision-making.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 12 references that are in the map. First posted on arXiv 20 Mar 2025.

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References · 3

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2024Charting the Future of AI in Project-Based Learning: A Co-Design Exploration with Studentscited by 8
  3. 2021Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolutioncited by 6

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