Benjamin Shih

Learn More
Students can use an educational system's help in unexpected ways. For example, they may bypass abstract hints in search of a concrete solution. This behavior has traditionally been labeled as a form of gaming or help abuse. We propose that some examples of this behavior are not abusive and that bottom-out hints can act as worked examples. We create a model(More)
Students interacting with educational software generate data on their use of software assistance and on the correctness of their answers. This data comes in the form of a time series, with each interaction as a separate data point. This data poses a number of unique issues. In educational research, results should be in-terpretable by domain experts, which(More)
Complex student models often include key parameters critical to their behavior and effectiveness. For example, one meta-cognitive model of student help-seeking in intelligent tutors includes 15 rules and 10 parameters. We explore whether or not this model can be improved both in accuracy and generalization by using a variety of techniques to select and tune(More)
  • 1