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.
Original language | English (US) |
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Pages | 628-629 |
Number of pages | 2 |
State | Published - 2016 |
Event | 9th International Conference on Educational Data Mining, EDM 2016 - Raleigh, United States Duration: Jun 29 2016 → Jul 2 2016 |
Conference
Conference | 9th International Conference on Educational Data Mining, EDM 2016 |
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Country/Territory | United States |
City | Raleigh |
Period | 6/29/16 → 7/2/16 |
Keywords
- Automated writing evaluation
- Feedback
- Intelligent tutoring systems
- Natural language processing
- Revising
- Writing
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems