Procrastination in academic contexts is thought to have a negative effect on students' learning and performance. This research sought to provide a comprehensive multi-method and multimodal validation of a self-report measure of procrastination, revealing its intricate associations with behavioral indicators of procrastination, engagement, and…

Machine learning methods for predictive analytics have great potential for uncovering trends in educational data. However, simple linear models still appear to be most widely used, in part, because of their interpretability. This study aims to address the issues of interpretability of complex machine learning classifiers by conducting feature…

This report provides a comprehensive look at computer science (CS) education across Utah elementary, middle/jr. high, and high schools as of 2018. The Utah Expanding Computing Education Pathways (ECEP) team sent out a survey to all public schools in the state of Utah. The survey presented targeted questions depending on whether it was completed…