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src=\"https://img.shields.io/badge/python-v3.8+-blue\"\u003e\n\u003cimg src=\"https://img.shields.io/badge/pytorch-v1.10+-blue\"\u003e\n\u003cimg src=\"https://img.shields.io/badge/License-MIT-blue\"\u003e\n\u003cimg src=\"https://img.shields.io/github/issues/HFUT-LEC/EduStudio.svg\"\u003e\n\u003ca href=\"https://journal.hep.com.cn/fcs/EN/10.1007/s11704-024-40372-3\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Paper-EduStudio-blue\" alt=\"Paper EduStudio Badge\"\u003e\n\u003c/a\u003e\n\u003c/p\u003e\n\nEduStudio is a Unified Library for Student Cognitive Modeling including Cognitive Diagnosis(CD) and Knowledge Tracing(KT) based on Pytorch.\n\n## Navigation\n\n\n| Resource Name                                                | Description                                                  |\n| ------------------------------------------------------------ | ------------------------------------------------------------ |\n| [Eco-Repository](https://github.com/HFUT-LEC/awesome-student-cognitive-modeling) | A  repository containing resources about student cognitive modeling: [papers](https://github.com/HFUT-LEC/awesome-student-cognitive-modeling/tree/main/papers), [datasets](https://github.com/HFUT-LEC/awesome-student-cognitive-modeling/tree/main/datasets), [conferences\u0026journals](https://github.com/HFUT-LEC/awesome-student-cognitive-modeling/tree/main/conferences%26journals) |\n| [Eco-Leaderboard](https://leaderboard.edustudio.ai)          | A leaderboard demonstrating performance of implemented models |\n| [EduStudio Documentation](https://edustudio.readthedocs.io/) | The document for EduStudio usage                             |\n| [Reference Table](https://edustudio.readthedocs.io/en/latest/user_guide/reference_table.html) | The reference table demonstrating the corresponding templates of each model |\n\n## Description\n\nEduStudio first decomposes the general algorithmic workflow into six steps: `configuration reading`, `data prepration`, `model implementation`, `training control`, `model evaluation`, and `Log Storage`. Subsequently, to enhance the `reusability` and `scalability` of each step, we extract the commonalities of each algorithm at each step into individual templates for templatization.\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"assets/framework.png\" alt=\"EduStudio Architecture\" width=\"600\"\u003e\n  \u003cbr\u003e\n  \u003cb\u003eFigure\u003c/b\u003e: Overall Architecture of EduStudio\n\u003c/p\u003e\n\n\n## Quick Start\n\nInstall `EduStudio`:\n\n```bash\npip install -U edustudio\n```\n\nExample: Run `NCDM` model:\n\n```python\nfrom edustudio.quickstart import run_edustudio\n\nrun_edustudio(\n    dataset='FrcSub',\n    cfg_file_name=None,\n    traintpl_cfg_dict={\n        'cls': 'GeneralTrainTPL',\n    },\n    datatpl_cfg_dict={\n        'cls': 'CDInterExtendsQDataTPL'\n    },\n    modeltpl_cfg_dict={\n        'cls': 'NCDM',\n    },\n    evaltpl_cfg_dict={\n        'clses': ['PredictionEvalTPL', 'InterpretabilityEvalTPL'],\n    }\n)\n\n```\n\nTo find out which templates are used for a model, we can find in the [Reference Table](https://edustudio.readthedocs.io/en/latest/user_guide/reference_table.html)\n\n## Citation\n```\n@article{Le WU:198342,\nauthor = {Le WU, Xiangzhi CHEN, Fei LIU, Junsong XIE, Chenao XIA, Zhengtao TAN, Mi TIAN, Jinglong LI, Kun ZHANG, Defu LIAN, Richang HONG, Meng WANG},\ntitle = {EduStudio: towards a unified library for student cognitive modeling},\npublisher = {Front. Comput. Sci.},\nyear = {2025},\njournal = {Frontiers of Computer Science},\nvolume = {19},\nnumber = {8},\neid = {198342},\nnumpages = {0},\npages = {198342},\nkeywords = {open-source library;student cognitive modeling;intelligence education},\nurl = {https://journal.hep.com.cn/fcs/EN/abstract/article_47994.shtml},\ndoi = {10.1007/s11704-024-40372-3}\n}\n```\n\n\n## License\n\nEduStudio uses [MIT License](https://github.com/HFUT-LEC/EduStudio/blob/main/LICENSE). \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FHFUT-LEC%2FEduStudio","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FHFUT-LEC%2FEduStudio","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FHFUT-LEC%2FEduStudio/lists"}