    Corpus ID: 218763429

Quality Prediction of Open Educational Resources A Metadata-based Approach

@article{Tavakoli2020QualityPO,
  title={Quality Prediction of Open Educational Resources A Metadata-based Approach},
  author={Mohammadreza Tavakoli and Mirette Elias and G'abor Kismih'ok and Soren Auer},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.10542}
}
  • Mohammadreza Tavakoli, Mirette Elias, +1 author Soren Auer
  • Published 2020
  • Computer Science
  • ArXiv
  • Open Educational Resources (OERs) are openly licensed educational materials that are widely used for learning. Nowadays, there are many online learning systems and learning content repositories providing millions of open educational materials. Currently, it is very difficult for learners to find the most appropriate and high quality OER among all of these resources. In this respect, OER metadata are crucial for providing high-quality services such as search and recommendation. Furthermore… CONTINUE READING

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    Learning Resource Metadata Initiative
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