Beyond Models: Reflections on Engineering AI-enabled Systems in a Project-Based Course
Two new papers submitted to arXiv explore the integration of AI tools in higher education, particularly within engineering fields. One paper examines student use of Large Language Models (LLMs) for tasks like writing support and coding, highlighting concerns about accuracy, bias, and academic integrity, and advocating for critical AI literacy. The second paper reflects on a project-based course focused on engineering AI-enabled systems, noting persistent challenges in architectural design, deployment, and data management due to uneven expertise, while also fostering system-level reasoning in students. AI
IMPACT These papers highlight the need for critical AI literacy and careful system design as AI tools become more prevalent in educational settings.