The whiteboard talk represents one of the key ways that engineers can communicate ideas in a concise and educational way to colleagues. More than a classroom lec …

What actually makes good routing policies "good"? At NANOG we've mostly focused on teaching each other how to implement one or another BGP feature in our networks, …

Pocket Science Lab (PSLab) is a project developed by FOSSASIA. The goal is to create an Open Source hardware device (open on all layers) that can be used for experiments by teachers, students and citi …

We haven't figured out how to make the perfect robot tutors. But we have figured out how make them much more effective in improving student learning outcomes with modern AI techniques. Varun Arora covers some of those important techniques, along with real-world examples.

I have been using and teaching Python for many years. I wrote a best-selling book about learning data science. And here's my confession: I don't like notebooks. (There are dozens of us!) I'll explain why I find notebooks difficult, show how they frustrate my preferred pedagogy, demonstrate how I prefer to work, and discuss what Jupyter could do to win me over.

The Data Science Modules program at UC Berkeley creates short explorations into data science using notebooks to allow students to work hands-on with a dataset relevant to their course. Mariah Rogers, Ronald Walker, and Julian Kudszus explain the logistics behind such a program and the indispensable features of JupyterHub that enable such a unique learning experience.

During the last year, our research group began to gather experience in blockchain education. We concluded our first university blockchain course in Blockchain technologies and applications (with 200 …