In an intelligent tutoring system (ITS), it can be useful to know when a student has disengaged from a task and might benefit from a particular intervention. However, predicting disengagement on a trial-by-trial basis is a challenging problem, particularly in complex cognitive domains. In the present work, data-driven methods were used to address…

This study builds upon previous work aimed at developing a student model of reading comprehension ability within the intelligent tutoring system, iSTART. Currently, the system evaluates students' self-explanation performance using a local, sentence-level algorithm and does not adapt content based on reading ability. The current study leverages…

Purpose: The purpose of this study was to evaluate the efficacy of the EMBRACE Spanish support intervention for at-risk dual language learners and to determine which verbal and nonverbal characteristics of students were related to benefit from the intervention. The first study examined oral language and reading characteristics and the second study…