You've got style: Detecting writing flexibility across time

Erica L. Snow, Cecile A. Perret, Laura K. Allen, Matthew E. Jacovina, Danielle McNamara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Writing researchers have suggested that students who are perceived as strong writers (i.e., those who generate texts that are rated as high quality) demonstrate flexibility in their writing style. While anecdotally this has been a commonly held belief among researchers, scientists, and educators, there is little empirical research to support this claim. This study investigates this hypothesis by examining how students vary in their use of linguistic features across 16 prompt-based essays. Forty-five high school students wrote 16 essays across 8 sessions within an Automated Writing Evaluation (AWE) system. Natural language processing (NLP) techniques and Entropy analyses were used to calculate how rigid or flexible students were in their use of narrative linguistic features over time and how this trait related to individual differences in literacy ability and essay quality. Additional analyses indicated that NLP and Entropy reliably detected narrative flexibility (or rigidity) after session 2 and was related to students' prior literacy skills. These exploratory methodologies are important for researchers and educators, as they indicate that writing flexibility is indeed a trait of strong writers and can be detected rather quickly using the combination of textual features and dynamic analyses.

Original languageEnglish (US)
Title of host publicationACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery
Pages194-202
Number of pages9
Volume16-20-March-2015
ISBN (Print)9781450334174
DOIs
StatePublished - Mar 16 2015
Event5th International Conference on Learning Analytics and Knowledge, LAK 2015 - Poughkeepsie, United States
Duration: Mar 16 2015Mar 20 2015

Other

Other5th International Conference on Learning Analytics and Knowledge, LAK 2015
CountryUnited States
CityPoughkeepsie
Period3/16/153/20/15

Keywords

  • Entropy
  • Flexibility
  • Individual Differences
  • Narrativity
  • Writing Quality

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Snow, E. L., Perret, C. A., Allen, L. K., Jacovina, M. E., & McNamara, D. (2015). You've got style: Detecting writing flexibility across time. In ACM International Conference Proceeding Series (Vol. 16-20-March-2015, pp. 194-202). Association for Computing Machinery. https://doi.org/10.1145/2723576.2723592