Board Intro to #GoOpen 2016 for OET
First Steps on Your #GoOpen Journey - Communicating with Stakeholders
This lesson in part of Software Carpentry workshop and teach novice programmers to write modular code and best practices for using R for data analysis. an introduction to R for non-programmers using gapminder data The goal of this lesson is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. We find that many scientists who come to Software Carpentry workshops use R and want to learn more. The emphasis of these materials is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis. The lesson contains more material than can be taught in a day. The instructor notes page has some suggested lesson plans suitable for a one or half day workshop. A variety of third party packages are used throughout this workshop. These are not necessarily the best, nor are they comprehensive, but they are packages we find useful, and have been chosen primarily for their usability.
Teachers have long searched for supplemental materials for their purchased textbooks. In the last 36 months, the US Department of Education’s Office of EdTech has championed the use of openly-licensed educational resources (OERs) through their #GoOpen initiative. This workshop will help teachers understand #GoOpen, OERs, and how it will help their school districts. Participants will leave with resources and ideas on how to spread the knowledge in their districts.