Cohesion and structural organization in high school texts

Erin J. Lightman, Philip M. McCarthy, David F. Dufty, Danielle S. McNamara

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

14 Scopus citations

Abstract

Recent research in reading comprehension supports the hypothesis that readers are aided by textual cohesion. Traditional readability formulas are not able to effectively assess levels of textual cohesion, nor do they account for potential comprehension obstacles caused by differences in genre. This research employs the computational tool, Coh-Metrix, to assess distributions of both cohesion and difficulty within chapters of expository and narrative texts. We sampled representative sections from the beginning, the middle, and the end of each chapter in three science textbooks, four history textbooks, and six narrative texts. The results suggest that the three domains differ significantly in terms of structural organization and levels of difficulty and cohesion. Differences between these results are discussed.

Original languageEnglish (US)
Title of host publicationProceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007
Pages235-240
Number of pages6
StatePublished - 2007
Externally publishedYes
Event20th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007 - Key West, FL, United States
Duration: May 7 2007May 9 2007

Publication series

NameProceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007

Other

Other20th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007
Country/TerritoryUnited States
CityKey West, FL
Period5/7/075/9/07

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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