# About this project This project was born as a response to the call for [Jupyter Community Workshops](https://blog.jupyter.org/jupyter-community-workshops-cbd34ac82549), with funding from Bloomberg to Project Jupyter. Our proposal was [one of two funded](https://blog.jupyter.org/jupyter-community-workshops-call-for-proposals-26a8417e5b6a) this cycle, with both events being held in November 2018. Jupyter is growing fast in educational contexts. It's a good time to collect the knowledge and experience of early adopters of Jupyter for teaching, combine it with reflections of scholars of education, and write an open book: a **Handbook for Teaching and Learning with Jupyter**. > See the list of [participants](https://osf.io/uqz4j/wiki/Participants/) and their biographies. ### Event **28–30 November 2018 in Washington DC** This event brings together early adopters of Jupyter for education, seasoned educators, and scholars of education research to organize their collective experience into a handbook-style document. The event is a writing sprint leading to a jointly authored open book collecting good practices for: - creating course materials on Jupyter, - guiding a class or tutorial using Jupyter, - promoting computational thinking, - course management and grading, - sharing OER based on Jupyter, - creating online courses, etc. The writing sprint will be co-located with a **Jupyter tutorial for faculty** (Sat. Dec. 1st). Its goal will be to give interested faculty who have not taught with Jupyter a crash course and mentorship for their adoption of Jupyter in their teaching. For this part of the event participants will be self-funded and mostly local. > See more details of [Logistics](https://osf.io/uqz4j/wiki/Logistics/). ## Strategic vision Adoption of Jupyter in education has been just as dramatic as in the practice of data science. Every year, conferences in the scientific Python world are hosting talks and tutorials, or dedicating a special track to education, and Jupyter is at the center. We can mention examples going four years back: Barba’s keynote at SciPy 2014, Paco Nathan at PyData Seattle 2015 ([slides][1]), Jessica Hamrick’s SciPy 2015 talk ([video][2]) , Thomas Kluyver’s talk in EuroPython 2017, Christian Moscardi at JupyterCon 2017 ([video][3]), the JupyerCon 2018 Education Track ([blog post][4]), the PyCon 2018 Education Summit ([program][5]), and many more. During all this time, the Jupyter community has been hard at work creating a wealth of educational content, and developing tools and processes targeting education. The largest educational venture in data science in the US, the UC Berkeley Foundations in Data Science program, is wholly built around Jupyter. For educators newly adopting Jupyter, navigating the ecosystem of tools and content can be overwhelming. They also have to study many examples, and consume myriad blog posts and talk videos to distill the patterns of good practices and technical solutions to best serve their students. With a number of early adopters having so much experience to share, it will be of great service to the community to begin collecting this know-how, and sharing open documentation about using Jupyter for teaching and learning. The Jupyter Community Workshop in DC (November 2018) will begin that process, by hosting a book sprint aimed at producing (the first version of) a handbook. The collaboratively written book will consolidate explanations and examples covering key topics, like: what is Jupyter, how to try Jupyter, sharing with nbviewer, sharing on GitHub, locally installing Jupyter, cloud offerings, finding example notebooks, writing lessons in Jupyter, making collections for a course, exporting to other formats with nbconvert, writing textbooks with jupyter-book, Binder, JupyterHub, making assignments and auto-grading, making online courses, teaching with Jupyter in the classroom, active learning and flipped learning pedagogies with Jupyter, guiding learners to create their own content in Jupyter, and more. The handbook will be written openly and will grow to encompass all you need to know about Jupyter in Teaching and Learning. > See details of the [Methodology](https://osf.io/uqz4j/wiki/Methodology/). [1]: https://www.slideshare.net/pacoid/jupyter-for-education-beyond-gutenberg-and-erasmus [2]: https://youtu.be/OuhtpxGuboY [3]: https://youtu.be/lor5krwEysU [4]: https://blog.jupyter.org/synopsis-jupytercon-2018-education-track-6f9b3f4d8dd9 [5]: https://blog.jupyter.org/synopsis-jupytercon-2018-education-track-6f9b3f4d8dd9