Educational content labeled with proper knowledge components (KCs) are particularly useful to teachers or content organizers. However, manually labeling educational content is labor intensive and error-prone. To address this challenge, prior research proposed machine learning based solutions to auto-label educational content with limited success.…

MOOCs and online courses have notoriously high attrition [1]. One challenge is that it can be difficult to tell if students fail to complete because of disinterest or because of course difficulty. Utilizing a Deep Knowledge Tracing framework, we account for student engagement by including course interaction covariates. With these, we find that we…

In this study, we developed a Reading for Meaning special education teacher observation rubric that details the elements of evidence-based comprehension instruction and tested its psychometric properties using many-faceted Rasch measurement (MFRM). Video observations of classroom instruction from 10 special education teachers across three states…