Transfer Learning using Representation Learning in Massive Open Online Courses

@article{Ding2019TransferLU,
  title={Transfer Learning using Representation Learning in Massive Open Online Courses},
  author={Mucong Ding and Yanbang Wang and Erik Hemberg and Una-May O’Reilly},
  journal={Proceedings of the 9th International Conference on Learning Analytics \& Knowledge},
  year={2019}
}
In a Massive Open Online Course (MOOC), predictive models of student behavior can support multiple aspects of learning, including instructor feedback and timely intervention. Ongoing courses, when the student outcomes are yet unknown, must rely on models trained from the historical data of previously offered courses. It is possible to transfer models, but they often have poor prediction performance. One reason is features that inadequately represent predictive attributes common to both courses… Expand
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