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# **Atlas: Adaptive Competency-Based Learning** | ||
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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. | ||
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## **Why Atlas?** | ||
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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. | ||
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## **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](https://github.com/ls1intum/Atlas?tab=MIT-1-ov-file). | ||
- **Planned API & Micro Frontend**: Future enhancements will allow for broader flexibility and easier interaction. | ||
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## **Installation** | ||
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Detailed installation instructions can be found in the [documentation](#). | ||
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## **Usage** | ||
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To get started with Atlas and explore its features, refer to the [user guide](#) in the documentation. | ||
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## **Contributing** | ||
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We welcome contributions to improve Atlas! Please follow the [contribution guidelines](#) outlined in the documentation. | ||
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## **Support** | ||
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For issues or questions, please use the [GitHub Issues](https://github.com/ls1intum/Atlas/issues) section of this repository. | ||
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## **License** | ||
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This project is licensed under the MIT License. See the LICENSE file for details. | ||
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## **Acknowledgments** | ||
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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. |