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Direct linkRichard Correnti; Lindsay Clare Matsumura; Elaine Lin Wang; Diane Litman; Haoran Zhang – Grantee Submission, 2022
Recent reviews of automated writing evaluation systems indicate lack of uniformity in the purpose, design, and assessment of such systems. Our work lies at the nexus of critical themes arising from these reviews. We describe our work on eRevise, an automated writing evaluation system focused on elementary students' text-based evidence-use. eRevise…
Descriptors: Writing Evaluation, Feedback (Response), Automation, Elementary School Students
Wang, Elaine Lin; Matsumura, Lindsay Clare; Correnti, Richard; Litman, Diane; Zhang, Haoran; Howe, Emily; Magooda, Ahmed; Quintana, Rafael – Grantee Submission, 2020
We investigate students' implementation of the feedback messages they received in an automated writing evaluation system ("eRevise") that aims to improve students' use of text evidence in their writing. Seven 5th and 6th-grade teachers implemented "eRevise" (n = 143 students). Qualitative analysis of students' essays across…
Descriptors: Feedback (Response), Writing Evaluation, Computer Software, Grade 5
Zhang, H.; Magooda, A.; Litman, D.; Correnti, R.; Wang, E.; Matsumura, L. C.; Howe, E.; Quintana, R. – Grantee Submission, 2019
Writing a good essay typically involves students revising an initial paper draft after receiving feedback. We present eRevise, a web-based writing and revising environment that uses natural language processing features generated for rubric-based essay scoring to trigger formative feedback messages regarding students' use of evidence in…
Descriptors: Formative Evaluation, Essays, Writing (Composition), Revision (Written Composition)
