@inproceedings{renduchintala-etal-2017-knowledge,
    title = "Knowledge Tracing in Sequential Learning of Inflected Vocabulary",
    author = "Renduchintala, Adithya  and
      Koehn, Philipp  and
      Eisner, Jason",
    editor = "Levy, Roger  and
      Specia, Lucia",
    booktitle = "Proceedings of the 21st Conference on Computational Natural Language Learning ({C}o{NLL} 2017)",
    month = aug,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/K17-1025/",
    doi = "10.18653/v1/K17-1025",
    pages = "238--247",
    abstract = "We present a feature-rich knowledge tracing method that captures a student{'}s acquisition and retention of knowledge during a foreign language phrase learning task. We model the student{'}s behavior as making predictions under a log-linear model, and adopt a neural gating mechanism to model how the student updates their log-linear parameters in response to feedback. The gating mechanism allows the model to learn complex patterns of retention and acquisition for each feature, while the log-linear parameterization results in an interpretable knowledge state. We collect human data and evaluate several versions of the model."
}