ERIC Number: ED598633
Record Type: Non-Journal
Publication Date: 2019
Pages: 7
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-
EISSN: N/A
Available Date: N/A
eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing
Zhang, H.; Magooda, A.; Litman, D.; Correnti, R.; Wang, E.; Matsumura, L. C.; Howe, E.; Quintana, R.
Grantee Submission, Paper presented at the Annual Meeting of the Association for the Advancement of Artificial Intelligence (AAAI) (31st, 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 response-to-text writing. By helping students understand the criteria for using text evidence during writing, eRevise empowers students to better revise their paper drafts. In a pilot deployment of eRevise in 7 classrooms spanning grades 5 and 6, the quality of text evidence usage in writing improved after students received formative feedback then engaged in paper revision. [This paper was published in: "The Thirty-First AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-19)" (p. 9619-9625). Association for the Advancement of Artificial Intelligence.]
Descriptors: Formative Evaluation, Essays, Writing (Composition), Revision (Written Composition), Scoring, Computer Software, Web Based Instruction, Teaching Methods, Feedback (Response), Grade 5, Grade 6, Elementary School Students, Pilot Projects, Writing Instruction, Natural Language Processing, Rural Schools
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: Elementary Education; Grade 5; Intermediate Grades; Middle Schools; Grade 6
Audience: N/A
Language: English
Sponsor: Institute of Education Sciences (ED)
Authoring Institution: N/A
Identifiers - Location: Louisiana
IES Funded: Yes
Grant or Contract Numbers: R305A160245
Author Affiliations: N/A