Benjamin Shih

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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)
Search and rescue robots are being used more frequently to access hazardous environments to assess situations and locate survivors. There are a wide range of existing mobile platforms for various situations and environments, but these robots are typically bulky, heavy or expensive, limiting their widespread and practical use in case of disaster mitigation.(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)
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)
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