Science Score: 52.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Committers with academic emails
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✓Institutional organization owner
Organization ls1intum has institutional domain (ase.cit.tum.de) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.6%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Atlas: Adaptive Competency-Based Learning
Basic Info
- Host: GitHub
- Owner: ls1intum
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://docs.atlas.aet.cit.tum.de
- Size: 741 KB
Statistics
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 3
- Releases: 0
Topics
Metadata Files
README.md
Atlas: Adaptive Competency-Based Learning
Atlas is a microservice designed to seamlessly incorporate competency models into Learning Management Systems (LMS). By leveraging cutting-edge machine learning and generative AI (GenAI/LLMs), Atlas empowers educators to create sophisticated competency models, fostering more effective teaching methods and improving student learning outcomes.
Why Atlas?
Competency-based education (CBE) is a proven method for enhancing learning, but its implementation can be complex and time-consuming. Atlas addresses this challenge by automating and simplifying the creation of high-quality competency models, including: - Automatically generated relationships between competencies. - Recommendations for linking competencies to relevant learning activities.
Key Features
- AI-Powered Competency Models: Generate and recommend sophisticated competency models with minimal effort.
- Seamless LMS Integration: Works with Artemis and can be adapted to other LMSs.
- Open Source: Freely accessible to the community under the MIT license.
- Planned API & Micro Frontend: Future enhancements will allow for broader flexibility and easier interaction.
Installation
Detailed installation instructions can be found in the documentation.
Usage
To get started with Atlas and explore its features, refer to the user guide in the documentation.
Contributing
We welcome contributions to improve Atlas! Please follow the contribution guidelines outlined in the documentation.
Support
For issues or questions, please use the GitHub Issues section of this repository.
License
This project is licensed under the MIT License. See the LICENSE file for details.
Acknowledgments
Atlas is currently integrated with Artemis but is designed to adapt to other LMS platforms, making it versatile for a wide range of educational environments.
Owner
- Name: TUM Applied Software Engineering
- Login: ls1intum
- Kind: organization
- Location: Munich, Germany
- Website: https://ase.cit.tum.de
- Twitter: TUMAppliedSE
- Repositories: 76
- Profile: https://github.com/ls1intum
Technical University of Munich - School of Computation, Information and Technology
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you cite this project, please use the following citation."
authors:
-
affiliation: "Technical University of Munich"
family-names: Anzinger
given-names: Maximilian
orcid: "0009-0000-7378-6292"
-
affiliation: "Technical University of Munich"
family-names: Krusche
given-names: Stephan
orcid: "0000-0002-4552-644X"
title: "Atlas: Adaptive Competency-Based Learning"
version: 0.0.0
date-released: 2024-11-18
license: MIT
repository-code: "https://github.com/ls1intum/atlas"
preferred-citation:
type: data
authors:
-
affiliation: "Technical University of Munich"
family-names: Anzinger
given-names: Maximilian
orcid: "0009-0000-7378-6292"
-
affiliation: "Technical University of Munich"
family-names: Krusche
given-names: Stephan
orcid: "0000-0002-4552-644X"
title: "Atlas: Adaptive Competency-Based Learning"
doi: "10.5281/zenodo.14045625"
year: 2024
GitHub Events
Total
- Create event: 19
- Issues event: 34
- Watch event: 1
- Delete event: 14
- Issue comment event: 12
- Member event: 1
- Push event: 55
- Pull request review event: 12
- Pull request review comment event: 6
- Pull request event: 32
Last Year
- Create event: 19
- Issues event: 34
- Watch event: 1
- Delete event: 14
- Issue comment event: 12
- Member event: 1
- Push event: 55
- Pull request review event: 12
- Pull request review comment event: 6
- Pull request event: 32
Committers
Last synced: 10 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Maximilian Anzinger | 4****r | 13 |
| Ufuk Yağmur | 3****r | 2 |
| Ignacio G. | 5****n | 2 |
| mend-bolt-for-github[bot] | 4****] | 1 |
| Arda Karaman | 4****0 | 1 |
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 25
- Total pull requests: 24
- Average time to close issues: about 2 months
- Average time to close pull requests: 4 days
- Total issue authors: 4
- Total pull request authors: 5
- Average comments per issue: 0.08
- Average comments per pull request: 0.42
- Merged pull requests: 19
- Bot issues: 4
- Bot pull requests: 1
Past Year
- Issues: 25
- Pull requests: 24
- Average time to close issues: about 2 months
- Average time to close pull requests: 4 days
- Issue authors: 4
- Pull request authors: 5
- Average comments per issue: 0.08
- Average comments per pull request: 0.42
- Merged pull requests: 19
- Bot issues: 4
- Bot pull requests: 1
Top Authors
Issue Authors
- ufukygmr (8)
- MaximilianAnzinger (7)
- ardakaraman0 (6)
- mend-bolt-for-github[bot] (4)
Pull Request Authors
- MaximilianAnzinger (25)
- ufukygmr (4)
- ardakaraman0 (4)
- mend-bolt-for-github[bot] (2)
- ignacio-gn (2)