• Computer Science, Mathematics
• Published in ArXiv 2018

Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining

@article{Gardner2018EnablingEM,
  title={Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining},
  author={Josh Gardner and Yuming Yang and Ryan Shaun Joazeiro de Baker and Christopher Brooks},
  journal={ArXiv},
  year={2018},
  volume={abs/1806.05208}
}

• Josh Gardner, Yuming Yang, +1 author Christopher Brooks

The use of machine learning techniques has expanded in education research, driven by the rich data from digital learning environments and institutional data warehouses. However, replication of machine learned models in the domain of the learning sciences is particularly challenging due to a confluence of experimental, methodological, and data barriers. We discuss the challenges of end-to-end machine learning replication in this context, and present an open-source software toolkit, the MOOC… CONTINUE READING

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