Curriculum-based measurement of oral reading fluency (CBM-R) is widely used across the United States as a strong indicator of comprehension and overall reading achievement, but has several limitations including errors in administration and large standard errors of measurement. The purpose of this study is to compare scoring methods and passage…

Automatic speech recognition (ASR) can be used to score oral reading fuency (ORF) assessments to ameliorate current inadequacies (e.g., administration errors, high opportunity cost), and represents an important part of a larger solution to improve traditional ORF. But more research is needed on how ASR performs for diverse student groups. The…

Despite prevalent use and practical application, the current and standard assessment of oral reading fluency (ORF) presents considerable limitations which reduces its validity in estimating growth and monitoring student progress, including: (a) high cost of implementation; (b) tenuous passage equivalence; and (c) bias, large standard error, and…