With the #ASKnet training plan you can compile and plan your individual training. You can choose from the different training modules and freely organize the schedule for your training. The training plan automatically creates a schedule with recommended breaks, which are then individually adjusted.
Afterwards, the training plan shows which resources are needed, how high the material costs are, how high the recommended number of participants should be and how many trainers are needed.
You can also add helpful attachments to your training plan, such as a timetable, material checklists, and more. Your individual training plan is ready, which you can then download as a PDF package to share or print out.
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All information on how to use the training plan, install it or create additional modules can be found in the documentation.
Here you can see the concept paper
To run the training plan locally, the following are required:
- docker >~ v.20.10.3
- docker-compose >~ v.1.27.4
- and an internet connection for the first run
If the requirements are met, all you need to do is check out this Git repository locally and enter the following command in the repository's directory:
docker compose up -d
and then go to your browser and type http://0.0.0.0:4000/Training
Note: In case the browser can't open the link above open the "Gemfile" in the "Training" repository and add:
gem "webrick"
to the end of the file, save the file, stop docker compose and start docker compose again with
docker compose up
again. This is only a temporary adjustment for local instance development! DO NOT COMMIT TO MAIN BRANCH!
To stop the training plan:
docker compose stop
Then you can use the following command to start the training planner at any time without needing an internet connection:
docker compose start
r0g Agency | ASKnet | BMZ |
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Official Website | Official Website | Official Website |
All content is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
The Configurator Software is licensed under a GPLv3 License (see LICENSE.md File)
first prototype developed by NanoLogika