Oral reading fluency (ORF) assessments are commonly used to screen at-risk readers and evaluate interventions' effectiveness as curriculum-based measurements. Similar to the standard practice in item response theory (IRT), calibrated passage parameter estimates are currently used as if they were population values in model-based ORF scoring.…

Automated scoring of student language is a complex task that requires systems to emulate complex and multi-faceted human evaluation criteria. Summary scoring brings an additional layer of complexity to automated scoring because it involves two texts of differing lengths that must be compared. In this study, we present our approach to automate…

The purpose of this study was to compare traditional oral reading fluency (ORF) measures to a computerized oral reading evaluation (CORE) system that uses speech recognition software. We applied a mixed model approach with two within-subject variables to test the mean WCPM score differences and the error rates between: passage length (25, 50, 85,…