Inferring higher level learning information from low level data for the Khan Academy platform

@inproceedings{Merino2013InferringHL,
  title={Inferring higher level learning information from low level data for the Khan Academy platform},
  author={Pedro J. Mu{\~n}oz Merino and Jos{\'e} A. Ruip{\'e}rez Valiente and Carlos Delgado Kloos},
  booktitle={LAK},
  year={2013}
}
To process low level educational data in the form of user events and interactions and convert them into information about the learning process that is both meaningful and interesting presents a challenge. In this paper, we propose a set of high level learning parameters relating to total use, efficient use, activity time distribution, gamification habits, or exercise-making habits, and provide the measures to calculate them as a result of processing low level data. We apply these parameters and… CONTINUE READING
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