GWU Professor Shows How Jupyter AI Accelerates the Creation of Educational Content 

IBL News | New York

Jupyter AI can automatically generate course learning objectives for over 100 engineering courses based on brief descriptions — GWU Professor Lorena A. Barba showcased in PyCon Colombia 2024.

At a keynote titled “Transforming Engineering Education with Jupyter AI,” Professor Barba explained that Jupyter AI, using GPT-3.5 and GPT-4 models, can suggest computational activities aligned with the course’s learning activities. [Slides Download]

While some outputs required refinement, many provided excellent starting points for instructors to build upon.

“Perhaps the most exciting part was using 𝙹𝚞𝚙𝚢𝚝𝚎𝚛 𝙰𝙸’s “/generate” command to create a raw Jupyter notebook tutorial for a specific course. Through an iterative process of explanation, refinement, and expansion using the AI chat interface, I transformed the notebook into a polished 11-page lab activity on vibration analysis. A task that would typically take perhaps a week was completed in just 2.5 hours with AI assistance,” she added.

“Jupyter AI is a powerful tool, but it’s not a replacement for pedagogical best practices.”