Corpus ID: 203575717

CS 229 Project Report : Modeling Student Learning in Mobile App with Machine Learning

@inproceedings{Henry2019CS2P,
  title={CS 229 Project Report : Modeling Student Learning in Mobile App with Machine Learning},
  author={Zhaolei Henry},
  year={2019}
}
  • Zhaolei Henry
  • Published 2019
  • This study applies machine learning to student-question interaction data from a mobile app to model students’ learning trajectories. Since student learning is unobserved, machine learning techniques are used to take student-question interactions as inputs and predict achievement (operationalized as expected probability of correct answer across all questions). The baseline methods include time-weighted naive Bayes and a question difficulty-modulated version of the same algorithm. The main model… CONTINUE READING

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