This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

We used multivariate generalizability theory to examine the reliability of hand-scoring and automated essay scoring (AES) and to identify how these scoring methods could be used in conjunction to optimize writing assessment. Students (n = 113) included subsamples of struggling writers and non-struggling writers in Grades 3-5 drawn from a larger…

The purpose of this study was to create and prototype a dual language assessment task that allows young English learners to use their entire cadre of linguistic resources (language and non-verbal resources) to obtain information about their emergent language abilities. We developed a dual language assessment task in which students described a…

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…

There is strong theoretical support for oral reading fluency (ORF) as an essential building block of reading proficiency. The current and standard ORF assessment procedure requires that students read aloud a grade-level passage (˜ 250 words) in a one-to-one administration, with the number of words read correctly in 60 seconds constituting their…