Interoperability of Learning Records: State‐of‐the‐Art in 2023

Overview

Learning Records are available in many formats, either standardized (xAPI, SCORM, IMS Caliper, cmi5) or proprietary (Google Classroom, MS Teams, csv, etc). This wide vairety of format is a barrier to many use cases of learning records as this prevent the easy combination and sharing of learning records datasets from multiple sources or organizations.

As a result, Inokufu was tasked, within the DASES/Prometheus-X ecosystem, to conduct an exhaustive state of the art and quantitative study about the interoperability of Learning records.

Table of content

This study is divided into 9 parts as follows:

1. Introduction
2. Methodology
3. Interoperability of Learning Records standards
4. Interoperability of Learning Management System
5. Interoperability of Learning Record Store
6. Interoperability of Authoring tools
7. Case studies
8. Discussion
9. Conclusion & Recommendations

Contribution guidelines

We welcome and appreciate contributions from the community! There are two ways to contribute to this project:

• If you have a question or if you have spotted an issue or a bug, please start a new issue in this repository.
• If you have a suggestion to improve the code or fix an issue, please follow these guidelines:
  1. Fork the Repository: Fork the Learning Records Converter repository to your own GitHub account.
  2. Create a Branch: Make a new branch for each feature or bug you are working on.
  3. Make your Changes: Implement your feature or bug fix on your branch.
  4. Submit a Pull Request: Once you've tested your changes, submit a pull request against the Learning Records Converter's master branch.

Before submitting your pull request, please ensure that your code follows our coding and documentation standards. Don't forget to include tests for your changes!

References

https://gaia-x.eu/gaia-x-framework/

https://prometheus-x.org/

https://dataspace.prometheus-x.org/building-blocks/interoperability/learning-records