Speeding up design and making to reduce time-to-project and time-to-market: an AI-Enhanced approach in engineering education
This addresses time-to-project and time-to-market issues for engineering students, but it is incremental as it applies existing AI tools to an educational context.
The paper tackled the challenge of slow project development in engineering education by integrating AI tools like ChatGPT and GitHub Copilot into a software architecture course, resulting in faster prototyping, enhanced problem-solving, and more sophisticated student outcomes.
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.