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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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Myers, Matthew C.; Wilson, Joshua – International Journal of Artificial Intelligence in Education, 2023
This study evaluated the construct validity of six scoring traits of an automated writing evaluation (AWE) system called "MI Write." Persuasive essays (N = 100) written by students in grades 7 and 8 were randomized at the sentence-level using a script written with Python's NLTK module. Each persuasive essay was randomized 30 times (n =…
Descriptors: Construct Validity, Automation, Writing Evaluation, Algorithms
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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)