Jupyter for Education: Beyond Gutenberg and Erasmus
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O'Reilly Learning is focusing on evolving learning experiences using Jupyter notebooks. Jupyter notebooks allow combining code, outputs, and explanations in a single document. O'Reilly is using Jupyter notebooks as a new authoring environment and is exploring features like computational narratives, code as a medium for teaching, and interactive online learning environments. The goal is to provide a better learning architecture and content workflow that leverages the capabilities of Jupyter notebooks.
Jupyter for Education: Beyond Gutenberg and Erasmus
- 1. Jupyter for Education: Beyond Gutenberg and Erasmus 2015-07-25 • Seattle Paco Nathan, @pacoid O’Reilly Learning
- 2. Who We Are:
- 3. O’Reilly Learning O’Reilly Learning is a new business unit focused on the (rapid) evolution of learning experiences for our audience, spanning across the range of product offerings at O'Reilly Media
- 4. Not These People …
- 6. O’Reilly Learning Objective: Examine, make sense of, and organize our various training products and learning channels – for ourselves and our customers
- 7. Content flows through a maze of editorial process, production workflows, delivery channels, etc., from authors to audience… Authors Audience DB: videos Git: versioning Atlas: publications EPUB oreilly.com Safari On24: webcasts OST: online courses Events Studio: recording SMEs Meetup, etc.: partnerships O’Reilly Learning
- 8. Content flows through a maze of editorial process, production workflows, delivery channels, etc., from authors to audience… Authors Audience DB: videos Git: versioning Atlas: publications EPUB oreilly.com Safari On24: webcasts OST: online courses Events Studio: recording SMEs Meetup, etc.: partnerships O’Reilly Learning regarded by authors as a relatively “agile” process, more than most – even so, it needs much improvement
- 9. IMHO, here’s the crux of the issue, which impedes the industry in general: Authors Audience DB: videos Git: versioning Atlas: publications EPUB oreilly.com Safari On24: webcasts OST: online courses Events Studio: recording SMEs Meetup, etc.: partnerships O’Reilly Learning Authors Audience DB: videos Git: versioning Atlas: publications EPUB oreilly.com Safari On24: webcasts OST: online courses Events Studio: recording SMEs Meetup, etc.: partnerships
- 10. The Learning Architecture: Defining Development and Enabling Continuous Learning David Mallon, Dani Johnson Bersin (2014-05-06) http://www.bersin.com/Practice/Detail.aspx? docid=17435&mode=search&p=Learning-@-Development This report is designed to help leaders and talent development and learning professionals to take positive steps toward understanding and implementing learning architectures. Learning Architecture
- 11. In the words of Michael Pollan, “You are what you eat eats.” michaelpollan.com/reviews/you-are-what-you-eat/ Learning Architecture
- 12. We live within a community of makers, innovators, learners, implementers… Our objective initially is to provide a learning architecture within our company, leveraging it as a pattern that can help our customers build their learning architectures, subsequently deployed on behalf of their customers Authors Audience DB: videos Git: versioning Atlas: publications EPUB oreilly.com Safari On24: webcasts OST: online courses Events Studio: recording SMEs Meetup, etc.: partnerships Learning Architecture
- 13. Background:
- 14. On Demand Analytic and Learning Environments with Jupyter Kyle Kelley, Andrew Odewahn lambdaops.com/jupyter-environments-odsc2015/ Exploring a couple themes, in particular: • computational narratives - exploratory data analysis - software development/collaboration - API exploration - technical papers - reports/exec dashboards • code-as-media - Thebe project, etc. Background:
- 15. Personal experience in 2012-15 as an independent author and instructor… Just Enough Math Paco Nathan O’Reilly Media (2014) http://justenoughmath.com Background:
- 16. Personal learnings, based on working on this project with Kyle and Andrew… How to transit from the role of data scientist, software developer, engineering director – into a role of author, teacher and vice versa Background:
- 17. Interactive notebooks: Sharing the code Helen Shen Nature (2014-11-05) nature.com/news/interactive-notebooks- sharing-the-code-1.16261 Background:
- 18. Embracing Jupyter Notebooks at O'Reilly Andrew Odewahn, 2015-05-07 https://beta.oreilly.com/ideas/jupyter-at-oreilly “O'Reilly Media is using our Atlas platform to make Jupyter Notebooks a first class authoring environment for our publishing program.” Jupyter, Thebe, Docker, etc. Background:
- 19. Embracing Jupyter Notebooks at O'Reilly Andrew Odewahn https://beta.oreilly.com/ideas/jupyter-at-oreilly “O'Reilly Media is using our Atlas platform to make Jupyter Notebooks a first class authoring environment for our publishing program.” Jupyter Background:
- 20. Background: Atlas is our content platform backed by Git, for project collaboration among authors, editors, et al. https://atlas.oreilly.com/
- 21. Background: Thebe (a moon of Jupiter) provides a layer atop Jupyter that is needed for publishing, white-labeled content, etc. https://github.com/oreillymedia/thebe
- 22. Background: Beta is our proof of concept: https://beta.oreilly.com/learning
- 23. Tech Stack: production presentation Thebe: player Jupyter: notebook Docker: container web page: interaction Git: versioning Atlas: publications various formats authoring cloud infra
- 24. Question: What’s the delta between our current author workflow and this new world of Jupyter + Docker +Thebe + cloud, etc.? production presentation Thebe: player Jupyter: notebook Docker: container web page: interaction Git: versioning Atlas: publications various formats authoring cloud infra
- 25. Great Examples:
- 26. Great Examples: Seeing what Microsoft is doing with Jupyter notebooks in Cortana Analytics – that’s brilliant http://gallery.azureml.net/Experiment/3fe213e3ae6244c5ac84a73e1b451dc4
- 27. Most definitely check out CodeNeuro, both online and the conf/hackathon… for example: Jeremey Freeman, HHMI Janelia Farm http://notebooks.codeneuro.org/ Matthew Conlen, NY Data Company http://lightning-viz.org/ Olga Botvinnick, UCSD http://yeolab.github.io/flotilla/docs/gallery/ Great Examples:
- 28. Curating a list of examples, as a shared doc online, and some exemplars include… Lorena Barba, GWU http://lorenabarba.com/ Anita Raichand https://github.com/painterly/data_py Chris Fonnesbeck,Vanderbilt https://plot.ly/ipython-notebooks/computational-bayesian- analysis/ Donne Martin, NemetschekVectorworks https://bit.ly/data-notes Great Examples:
- 29. Compare/contrast Jupyter with other interesting notebooks impls… Databricks https://class01.cloud.databricks.com/#notebook/76328 R Markdown http://rmarkdown.rstudio.com/ Andy Petrella, Data Fellas https://github.com/andypetrella/spark-notebook IBM Knowledge Anyhow https://knowledgeanyhow.org Mathematica https://www.wolfram.com/learningcenter/tutorialcollection/ NotebooksAndDocuments/ Great Examples:
- 30. Learning:
- 31. A few features on the wish list for notebooks: • integrating video content • social aspects, collaboration • a spectrum of learning modes engaged • how to integrate classroom experience • expert mentoring • learning paths • remote learning environments, e.g., massive open online somethingorother Learning meets Data Science:
- 32. MOOCs, such as edX, provide excellent features for learning at scale, however: • costly for authors producing content • difficult to instrument • relatively low ROI (completion rates) Typesafe as a rare counterexample • lacking social context that reinforces learning … it’s difficult to staff a small army of TAs who are needed What about MOOCs?
- 33. Peter Norvig @ Future Learning 2020 Summit, 2015-05-30: • search engines surface too many choices for available learning content • (“Thanks Google”) • need to get people to want to interact with the material – generally due to social context What about MOOCs?
- 34. Significant improvement in the notion of “flipped” a.k.a. inverted classrooms For a good example, see: Caltech Offers Online Course with Live Lectures in Machine Learning Yaser Abu-Mostafa (2012-03-30) http://www.caltech.edu/news/caltech-offers-online- course-live-lectures-machine-learning-4248 Learning meets Data Science:
- 35. There are other pedagogical issues to address, e.g., how to differentiate which content or mode will be most effective for a learner’s needs and learning style Patterns of Code as Media Andrew Odewahn, O’Reilly Media odewahn.github.io/patterns-of-code-as-media/www/ introduction.html Learning meets Data Science:
- 36. total newbie good overview Do you have sufficient familiarity with the topic? utterly confused familiar territory Can you build on familiarity with a related topic? must get unstuck send pull request Do you have necessary proficiency in the topic? learner topic experience concise topic inter- disciplinary How many boundaries must you span to achieve structural literacy for this topic? want to for myself have to for my job What is your primary motivation to learn this topic? bleeding edge COBOL 2020 Where are you on the "diffusion of innovation" curve w.r.t. the topic? on- demand major event How high is the transaction cost for the experience delivered to you? "go read the code" full-team participation Does the learning experience immerse you within a diverse, supportive social context? Learning meets Data Science: BTW, did we mention the intense needs for data analytics at scale and, in particular, dimensional reduction? :)
- 37. Education is more than lessons, exams, certifications, instructor evals, etc., … though tooling often reduces it to that level Is it possible to measure the “distance” between a learner and the subject community? From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise through Online Reviews Julian McAuley, Jure Leskovec http://i.stanford.edu/~julian/pdfs/www13.pdf Learning meets Data Science:
- 38. Learning Curves are forever – In some sense, this is essence of Data Science: How well do you learn? In my experience, much of the risk encountered in managing a Data Science team is about budgeting for learning curve Learning meets Data Science:
- 39. ThrowYour Life a Curve Whitney Johnson blogs.hbr.org/johnson/2012/09/ throw-your-life-a-curve.html For example, notions of continuous learning: • deconstruction of the cognitive bias One Size Fits All • “makes a compelling case for personal disruption” • “plan your career around learning curves” • hire people who learn/re-learn efficiently Learning meets Data Science:
- 40. So who (or where) are the experts in this graph?! Diffusion of Innovation Everett M. Rogers (1962) http://sphweb.bumc.bu.edu/otlt/MPH-Modules/SB/ SB721-Models/SB721-Models4.html Learning meets Data Science:
- 41. Looking Ahead:
- 42. Moving beyond books, beyond Kindle, beyond MOOCs … Moving forward, important aspects include: learning paths, continuous learning, inverted classroom, computational thinking, learner segmentation, etc. Also, it’s not so much about how an individual learns, rather our focus should include social context, e.g., learning within a team Looking Ahead:
- 43. Moving beyond books, beyond Kindle, beyond MOOCs Moving forward, important aspects include: learning paths classroom segmentation Also, it’s not so much about how an individual learns, rather our focus should include a team Looking Ahead: we’re eager to work with great new notebook authors!! #pioneers
- 44. Thank You!