This paper examines how interviews with students—at critical moments of the learning
process—may be leveraged to improve the design of educational software. Specifically, we …

Artificial Intelligence in Education research for STEM domains has largely been quantitative
in nature, but qualitative research offers several advantages as part of a mixed-methods …

This study explores task persistence in the context of Learning by Teaching. Using features
extracted from students' interaction logs, a centroid based clustering algorithm derived two …

We attempted to model task persistence, a student attribute reflecting one's dispositional
need to complete difficult tasks in the face of frustration, within a learning by teaching …

Abstract Artificial Intelligence in Education research for STEM domains has largely been
quantitative in nature, but qualitative research offers several advantages as part of a mixed …

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 …