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Direct linkCorrenti, Richard; Matsumura, Lindsay Clare; Wang, Elaine; Litman, Diane; Rahimi, Zahra; Kisa, Zahid – Reading Research Quarterly, 2020
Despite the importance of analytic text-based writing, relatively little is known about how to teach to this important skill. A persistent barrier to conducting research that would provide insight on best practices for teaching this form of writing is a lack of outcome measures that assess students' analytic text-based writing development and that…
Descriptors: Writing Evaluation, Writing Tests, Computer Assisted Testing, Scoring
Lu, Xiaofei – Language Testing, 2017
Research investigating corpora of English learners' language raises new questions about how syntactic complexity is defined theoretically and operationally for second language (L2) writing assessment. I show that syntactic complexity is important in construct definitions and L2 writing rating scales as well as in L2 writing research. I describe…
Descriptors: Syntax, Computational Linguistics, Second Language Learning, Writing Research
Download full textInstitute of Education Sciences, 2017
In September, 2016, the National Center for Special Education Research (NCSER) and the National Center for Education Research (NCER) of the Institute of Education Sciences (IES) convened a group of experts to discuss and provide input on research needs in the area of middle and high school writing for students, including English learners (ELs) and…
Descriptors: Writing Research, Educational Research, Research Needs, Secondary Education
Miller, Tristan – Journal of Educational Computing Research, 2003
Latent semantic analysis (LSA) is an automated, statistical technique for comparing the semantic similarity of words or documents. In this article, I examine the application of LSA to automated essay scoring. I compare LSA methods to earlier statistical methods for assessing essay quality, and critically review contemporary essay-scoring systems…
Descriptors: Semantics, Test Scoring Machines, Essays, Semantic Differential
