Cohesive Features of Deep Text Comprehension Processes

Laura K. Allen, Matthew E. Jacovina, Danielle S. McNamara

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

16 Scopus citations

Abstract

This study investigates how cohesion manifests in readers' thought processes while reading texts when they are instructed to engage in self-explanation, a strategy associated with deeper, more successful comprehension. In Study 1, college students (n = 21) were instructed to either paraphrase or self-explain science texts. Paraphrasing was characterized by greater cohesion in terms of lexical overlap whereas self-explanation included greater lexical diversity and more connectives to specify relations between ideas. In Study 2, adolescent students (n = 84) were provided with instruction and practice in self-explanation and reading strategies across 8 sessions. Self-explanations increased in lexical diversity but became more causally and semantically cohesive over time. Together, these results suggest that cohesive features expressed in think alouds are indicative of the depth of students' comprehension processes.

Original languageEnglish (US)
Title of host publicationProceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016
EditorsAnna Papafragou, Daniel Grodner, Daniel Mirman, John C. Trueswell
PublisherThe Cognitive Science Society
Pages2681-2686
Number of pages6
ISBN (Electronic)9780991196739
StatePublished - 2016
Externally publishedYes
Event38th Annual Meeting of the Cognitive Science Society: Recognizing and Representing Events, CogSci 2016 - Philadelphia, United States
Duration: Aug 10 2016Aug 13 2016

Publication series

NameProceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016

Conference

Conference38th Annual Meeting of the Cognitive Science Society: Recognizing and Representing Events, CogSci 2016
Country/TerritoryUnited States
CityPhiladelphia
Period8/10/168/13/16

Keywords

  • cohesion
  • self-explanation
  • text comprehension
  • think-aloud

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

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