Guidance
Here you can find practical guidance for designing and delivering learning experiences with a focus on Jupyter Notebooks, interactive teaching, and responsible AI. Explore the individual resources for approaches to using notebooks effectively and thoughtfully in human-centered data science education.
Interactive elements in Jupyter Notebooks
Guidance and examples for incorporating interactive components into Jupyter notebooks to make data-science learning more engaging and exploratory.
Integrating Jupyter Notebooks into teaching
Practical guidance on using Jupyter notebooks in education.
Responsible AI integration for Jupyter Notebooks
Guidance on embedding responsible-AI principles and considerations into Jupyter-based teaching materials.
