Toward Revision-Sensitive Feedback in Automated Writing Evaluation
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| Title: | Toward Revision-Sensitive Feedback in Automated Writing Evaluation |
|---|---|
| Language: | English |
| Authors: | Allen, Laura K., Jacovina, Matthew E., Johnson, Adam C., McNamara, Danielle S., Roscoe, Rod D. |
| Source: | Grantee Submission. 2016Paper presented at the International Conference on Educational Data Mining (9th, 2016). |
| Peer Reviewed: | Y |
| Page Count: | 3 |
| Publication Date: | 2016 |
| Sponsoring Agency: | Institute of Education Sciences (ED) |
| Contract Number: | R305A120707 |
| Document Type: | Speeches/Meeting Papers Reports - Research |
| Education Level: | High Schools |
| Descriptors: | Revision (Written Composition), Automation, Writing Evaluation, Feedback (Response), High School Students, Intelligent Tutoring Systems, Documentation, Writing (Composition), Identification |
| Abstract: | Revising is an essential writing process yet automated writing evaluation systems tend to give feedback on discrete essay drafts rather than changes across drafts. We explore the feasibility of automated revision detection and its potential to guide feedback. Relationships between revising behaviors and linguistic features of students' essays are discussed. [This paper was published in the Proceedings of the 9th International Conference on Educational Data Mining 2016, p628-629.] |
| Abstractor: | As Provided |
| Number of References: | 9 |
| IES Funded: | Yes |
| Entry Date: | 2018 |
| Accession Number: | ED586437 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED586437 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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