adjustst docs for project dir

docs/index.md

@@ -153,7 +153,7 @@ There are three volumes mounted to each container:
 
 - The volume `data` is mounted to `/data`. This volume is meant to harbour read-only data (e.g. raw data). 
 - The volume `group_work` is mounted to `/group_work`. The group volume is meant as a shared directory, where everybody can read and write.
-- Each user has a personal volume, named after the username (output of `generate_credentials`). This volume is mounted to `/home/rstudio/workdir/` for rstudio, `/home/jovyan/workdir` for jupyter, and `/config/workdir` for vscode. 
+- Each user has a personal volume, named after the username (output of `generate_credentials`). This volume is mounted to `/home/rstudio/workdir/` for rstudio, `/home/jovyan/workdir` for jupyter, and `/config/project` for vscode. 
 
 Below you can find an example of the container infrastructure. Blue squares are containers, yellow are volumes. Arrows indicate accessibility. 
 

docs/usage.md

@@ -11,7 +11,7 @@ In this chapter there is some general information for people (e.g. teachers/cour
 - In the container, you can find the following shared directories:
     - `/data`: read only, and shared between all running containers. This directory is used to have a single place to store data
     - `/group_work`: read and write enabled for all participants, and shared between all containers. This can be used to share data/scripts between students. This directory can be backed up. 
-    - `~/workdir`: read and write enabled, and only shared between containers assigned to the same participant. This directory can be backed up and shared as a tarball at the end of the course. 
+    - `~/project` or `~/workdir`: read and write enabled, and only shared between containers assigned to the same participant. This directory can be backed up and shared as a tarball at the end of the course. 
 - All directories other than the shared directories only exist within the container. 
 
 ## Jupyter containers