D'Mello and Graesser's (2012) highly-cited model of affect dynamics proposes a sequence
of theoretically-grounded transitions between affective states during learning. However …

This work is an investigation of the implications of outliers in a student carefulness model.
The authors built and empirically validated a model of carefulness among students using the …

Selection of high-quality ground truth data is a critical step for machine learning.
Conventionally, a human-centered strategy is utilized to label the data. While this technique …

We explore a student carefulness model using cluster-based outlier analysis. In a related
work by the authors, a predictive model of student carefulness was created, built and …

In this paper, the author describes a summary of her early career research, this includes
work in building and empirically validating student cognitive and affective models using …