RStudio Cloud | Viewing Learning Work | Instructor View
As an Admin (or Moderator) of your course space, you and your fellow instructors have access to all projects in your space. You can open student projects from any projects listing, or to see all the projects of a given student, go to their profile page by clicking on their name from the Members page. Note that if you do open a student's project while they also have it open, they will be temporarily disconnected from the project. You can also view how much time your students have spent using Cloud. Simply visit the Usage area of your space, where you can see aggregate usage data for the entire class, or for an individual student and their projects. ABOUT RSTUDIO CLOUD: RStudio Cloud is a lightweight, cloud-based solution that allows anyone to do, share, teach and learn data science online. Analyze your data using the RStudio IDE, directly from your browser. Share projects with your team, class, workshop or the world. Teach data science with R to your students or colleagues. Learn data science in an instructor-led environment or with interactive tutorials. There is nothing to configure and no dedicated hardware, installation or annual purchase contract required. Individual users, instructors and students only need a browser to do, share, teach and learn data science. We will always offer a free plan for casual, individual use, and we now offer paid premium plans for professionals, instructors, researchers, and organizations. RSTUDIO CLOUD RESOURCES: RStudio Cloud https://rstudio.cloud RStudio Cloud Pricing plans https://rstudio.cloud/plans/instructor RStudio Cloud guide https://rstudio.cloud/learn/guide {rscloud} https://github.com/rstudio/rscloud VIDEO CREDITS: Monitor icon made by xnimrodx from flaticon.com Cloud icon made by Freepik from flaticon.com Tiny Putty Music from Blue Dot Sessions: https://app.sessions.blue/browse/track/52046 ### ABOUT RSTUDIO: RStudio’s mission is to create free and open-source software for data science, scientific research, and technical communication to enhance the production and consumption of knowledge by everyone, regardless of economic means, and to facilitate collaboration and reproducible research, both of which are critical to the integrity and efficacy of work across industries. RStudio also produces RStudio Team, a modular platform of commercial software products that give organizations the confidence to adopt R, Python and other open-source data science software at scale, along with online services to make it easier to learn and use them over the web. Together, RStudio’s open-source software and commercial software form a virtuous cycle: the adoption of open-source data science software at scale in organizations creates demand for RStudio’s commercial software; and the revenue from commercial software, in turn, enables deeper investment in the open-source software that benefits everyone. Check out www.rstudio.com Follow us on Twitter: https://twitter.com/rstudio Facebook: https://www.facebook.com/rstudiopbc/ And LinkedIn: https://www.linkedin.com/company/rstudio-pbc/
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Transcript#
This transcript was generated automatically and may contain errors.
As our learners work through assignments, it can be helpful to check on their progress, as well as see their code in a working environment in order to help them troubleshoot any issues that they're having. And we can do all of that from within RStudio Cloud.
For this walkthrough, I've added myself as a learner to our data visualization workspace, which we can confirm by clicking on the Members tab.
Accessing learner work
There are two ways to access learner work. One is to click on an individual's name from the Members tab. When we do this, we're taken to our learner's projects. In this case, our learner has only worked on assignment 1, but we can click into their work and see what they've created, as well as run their code.
It's important to note that when we open a learner's project in RStudio Cloud, we are not creating a separate copy of their work. We're directly accessing their work. Any changes we make here will be incorporated into the learner's project.
Any changes we make here will be incorporated into the learner's project.
One advantage of this is that we can write comments or provide example code for our learners in an asynchronous manner. Another point worth mentioning is that if we as educators, or really anyone with the moderator or administrator role within the workspace, opens a learner's work while the learner is working on it, the learner will be disconnected from their project. It may be helpful to let learners know that this may happen, especially if you and your learners are working asynchronously.
