Modeling and understanding students' off-task behavior in intelligent tutoring systems
@inproceedings{Baker2007ModelingAU, title={Modeling and understanding students' off-task behavior in intelligent tutoring systems}, author={R. Baker}, booktitle={CHI}, year={2007} }
We present a machine-learned model that can automatically detect when a student using an intelligent tutoring system is off-task, i.e., engaged in behavior which does not involve the system or a learning task. [...] Key Method We use this model in combination with motivational and attitudinal instruments, developing a profile of the attitudes and motivations associated with off-task behavior, and compare this profile to the attitudes and motivations associated with other behaviors in intelligent tutoring…Expand Abstract
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