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Carla Wood; Miguel Garcia-Salas; Christopher Schatschneider – Grantee Submission, 2023
Purpose: The aim of this study was to advance the analysis of written language transcripts by validating an automated scoring procedure using an automated open-access tool for calculating morphological complexity (MC) from written transcripts. Method: The MC of words in 146 written responses of students in fifth grade was assessed using two…
Descriptors: Automation, Computer Assisted Testing, Scoring, Computation
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Chen, Dandan; Hebert, Michael; Wilson, Joshua – American Educational Research Journal, 2022
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…
Descriptors: Reliability, Scoring, Essays, Automation
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Correnti, 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
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Wilson, Joshua; Wen, Huijing – Elementary School Journal, 2022
This study investigated fourth and fifth graders' metacognitive knowledge about writing and its relationship to writing performance to help identify areas that might be leveraged when designing effective writing instruction. Students' metacognitive knowledge was probed using a 30-minute informative writing prompt requiring students to teach their…
Descriptors: Elementary School Students, Metacognition, Writing Attitudes, Writing (Composition)
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Wilson, Joshua; Olinghouse, Natalie G.; Andrada, Gilbert N. – Learning Disabilities: A Contemporary Journal, 2014
The current study examines data from students in grades 4-8 who participated in a statewide computer-based benchmark writing assessment that featured automated essay scoring and automated feedback. We examined whether the use of automated feedback was associated with gains in writing quality across revisions to an essay, and with transfer effects…
Descriptors: Writing Skills, Writing Ability, Feedback (Response), Computer Mediated Communication