Vusaverse: Enhancing education at VU Amsterdam by leveraging data-informed insights to deliver strategic decision-making and drive continuous improvement.
Welcome to the vusaverse, the GitHub organization of VU Education Analytics, dedicated to data analytics at Vrije Universiteit Amsterdam. Our team specializes in leveraging student data to enhance educational outcomes and insights.
We are a passionate data team focused on educational analytics. We work closely with student data to develop innovative solutions that support learning and teaching at Vrije Universiteit Amsterdam. Our projects include:
| Project Name | Description | Link |
|---|---|---|
| canvas-analytics | Pipeline of Canvas LMS | GitHub |
| evalytics | Pipeline for evaluation data | GitHub |
| Project Name | Description | Link |
|---|---|---|
| vvauditor | Data audits (CRAN) | GitHub |
| vvcanvas | Canvas LMS API (CRAN) | GitHub |
| vvconverter | Data conversions (CRAN) | GitHub |
| vvfiller | Fill data (CRAN) | GitHub |
| vvmover | Read/write data (CRAN) | GitHub |
| vvprojector | Setup projects | GitHub |
| vvsculptor | Models and joins (CRAN) | GitHub |
| vvshiny | Build Shiny apps with templates (CRAN) | GitHub |
| vvtableau | Tableau API (CRAN) | GitHub |
| vvtermtime | Semestry TermTime API (CRAN) | GitHub |
| Project Name | Description | Link |
|---|---|---|
| vvdoctor | Statistics Shiny app (CRAN) | GitHub |
| Project Name | Description | Link |
|---|---|---|
| conversion_model | Conversion of students | GitHub |
| Project Name | Description | Link |
|---|---|---|
| docker-rocker | Dockerized RStudio instance | GitHub |
| data_asset_catalog | Data assets | GitHub |
| snippets | RStudio snippets | GitHub |
| vusaverse.github.io | Website built in Quarto | GitHub |
We've developed a standardized R pipeline to ensure consistency and efficiency in our data processing and analysis workflows:
This pipeline represents our systematic approach to data analytics, from raw data ingestion to the final output of actionable insights.
We welcome contributions from the community! If you're interested in collaborating with us, please consider the following:
- Fork the Repository: Start by forking the repository you want to contribute to.
- Create a Feature Branch: Use a descriptive name for your branch.
- Make Your Changes: Implement your feature or fix.
- Submit a Pull Request: Once you're ready, submit a pull request detailing your changes.
If you want to know more about what we do as a team, you can visit our dedicated webpage: https://vu.nl/en/about-vu/more-about/education-analytics We can be reached for questions about data for educational policy or scientific research at: education-analytics@vu.nl.
