Creating a Lessons Roadmap and Profiency Framework for Software and Data Training

Collaborations Workshop 2019 (CW19) #CollabW19 2019-04-01 to 2019-04-03 Creating a Lessons Roadmap and Profiency Framework for Software and Data Training - HP7-CW2CC Hackday Idea Proposer Victor Koppejan & Jeremy Cohen This document should be used to capture the information for a Hack Day Idea. Context / Research Domain Please describe the context or research domain to which the problem applies Learners of software and data training topics. Developers of software and data training material....

3 min · 559 words · Victor Koppejan, Jeremy Cohen

How to map out software and data skills lessons like Duolingo

Collaborations Workshop 2019 (CW19) #CollabW19 2019-04-01 to 2019-04-03 How to map out software and data skills lessons like Duolingo - CI8-CW2CC Reporter Neil Chue Hong - n.chuehong@googlemail.com Participants Dan Katz, Jeremy Cohen, Neil Chue Hong, Olivia Mitchell, Victor Koppejan This document should be used to capture the information for a Collaborative Session / Hack Day Idea. (The total amount of text should ideally be between 100-300 words and you can include a diagram or two)....

5 min · 1059 words · Daniel S. Katz, Jeremy Cohen, Neil Chue Hong, Olivia Mitchell, Victor Koppejan

Streamlining JupyterLab as a teaching tool

Collaborations Workshop 2018 - 2018-03-26 Streamlining JupyterLab as a teaching tool Reporter Tania R Allard - t.allard@sheffield.ac.uk Participants Tania Allard, Matt Williams, Mark Dawson, Jeremy Cohen, Sam Mangham, Robin Long Context / Research Domain The problem covers the domain of training and education for new users of interpreted languages. Problem Existing tools to support training are either too simplistic, resulting in a steep learning curve for students who need to install complex environments and understand packaging systems or command-line REPL interfaces, or too complex, aiming to streamline the user experience to a level that presents too many choices and provides a cluttered interface....

3 min · 483 words · Tania Allard, Matt Williams, Mark Dawson, Jeremy Cohen, Sam Mangham, Robin Long