Toward revision-sensitive feedback in automated writing evaluation

Rod D. Roscoe, Matthew E. Jacovina, Laura K. Allen, Adam C. Johnson, Danielle S. McNamara

Research output: Contribution to conferencePaper

1 Scopus citations

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 languageEnglish (US)
Pages628-629
Number of pages2
StatePublished - Jan 1 2016
Event9th International Conference on Educational Data Mining, EDM 2016 - Raleigh, United States
Duration: Jun 29 2016Jul 2 2016

Conference

Conference9th International Conference on Educational Data Mining, EDM 2016
CountryUnited States
CityRaleigh
Period6/29/167/2/16

Keywords

  • Automated writing evaluation
  • Feedback
  • Intelligent tutoring systems
  • Natural language processing
  • Revising
  • Writing

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

Fingerprint Dive into the research topics of 'Toward revision-sensitive feedback in automated writing evaluation'. Together they form a unique fingerprint.

  • Cite this

    Roscoe, R. D., Jacovina, M. E., Allen, L. K., Johnson, A. C., & McNamara, D. S. (2016). Toward revision-sensitive feedback in automated writing evaluation. 628-629. Paper presented at 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, United States.