Comprehension and Writing Strategy Training Improves Performance on Content-Specific Source-Based Writing Tasks

Jennifer L. Weston-Sementelli, Laura K. Allen, Danielle S. McNamara

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Source-based essays are evaluated both on the quality of the writing and the content appropriate interpretation and use of source material. Hence, composing a high-quality source-based essay (an essay written based on source material) relies on skills related to both reading (the sources) and writing (the essay) skills. As such, source-based writing must involve language comprehension and production processes. The purpose of the current study is to examine the impact of reading, writing, and blended (i.e., reading and writing) strategy training on students’ performance on a content-specific source-based essay writing task. In contrast to general source-based writing tasks, content-specific source-based writing tasks are tasks wherein writers are provided the source material on which to base their essays. Undergraduate students (n = 175) were provided with strategy instruction and practice in the context of two intelligent tutoring systems, Writing Pal and Interactive Strategy Training for Active Reading and Thinking (iSTART). Results indicated that participants in the blended strategy training condition produced higher quality source-based essays than participants in the reading comprehension-only, writing-only, or control condition, with no differences observed between the latter three conditions. Further, the benefits of this blended strategy instruction remained significant regardless of prior reading and writing skills, or time on task.

Original languageEnglish (US)
Pages (from-to)106-137
Number of pages32
JournalInternational Journal of Artificial Intelligence in Education
Volume28
Issue number1
DOIs
StatePublished - Mar 1 2018
Externally publishedYes

Bibliographical note

Funding Information:
Acknowledgments This research was supported by the Institute for Education Sciences (IES R305A120707; IES R305A130124). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the IES. The Authors would like to thank Cecile Perret for helping to collect the data, and Matt Jacovina and Amy Johnson for their help with scoring the essays.

Funding Information:
This research was supported by the Institute for Education Sciences (IES R305A120707; IES R305A130124). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the IES. The Authors would like to thank Cecile Perret for helping to collect the data, and Matt Jacovina and Amy Johnson for their help with scoring the essays.

Publisher Copyright:
© 2016, International Artificial Intelligence in Education Society.

Keywords

  • Content area writing
  • Intelligent tutoring systems
  • Reading
  • Source-based writing
  • Writing

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