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--- |
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license: mit |
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language: |
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- en |
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tags: |
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- education |
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- learning analytics |
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- educational data mining |
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--- |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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This is the EduBERT model used in the [EduBERT: Pretrained Deep Language Models for Learning Analytics](https://arxiv.org/abs/1912.00690) from LAK20. It is a fine-tuned version of DistilBERT on educational data. |
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## Model Description |
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We originally trained this model to support Learning Analytics task, showing it performed well on well-known educational text classification task. |
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## Bias, Risks, and Limitations |
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The model is provided as-is, and trained on the data described in the paper. Learning Analytics is a complex field, and decisions should not be taken fully automatically by models. This model should be used for analysis and to inform only. |
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## Citation |
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**BibTeX:** |
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``` |
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@inproceedings{clavié2019edubert, |
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title={EduBERT: Pretrained Deep Language Models for Learning Analytics}, |
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author={Benjamin Clavié and Kobi Gal}, |
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year={2020}, |
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booktitle={Companion Proceedings of the The 10th international Learning Analytics & Knowledge (LAK20)} |
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} |
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``` |
