Intelligent CALL systems for writing development: Investigating the use of Write & Improve for developing written language and writing skill

Niall Curry, Elaine Riordan

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Technological innovation in supporting feedback on writing is well established in computer-assisted language learning (CALL) literature. Regarding writing development, research has found that intelligent CALL systems that respond instantly to learners’ language can support their production of better-written texts. To investigate this claim further, this chapter presents a study on learner use of Write & Improve (W&I). The study, based on learner engagement with W&I and learner and teacher surveys and focus groups, demonstrates that learners find W&I to be engaging and motivating. Moreover, there is evidence of improvements in learner writing practices and written language proficiency. For teachers, W&I can render feedback more efficient, allowing them to focus on more complex aspects of learner texts, while spelling and syntactic accuracy are addressed by W&I. Issues also emerge in the use of W&I, which present problem areas for teachers and learners and which signal important future considerations for CALL research.
Original languageEnglish
Title of host publicationCALL Theory Applications for Online TESOL Education
EditorsKen Kelch, Peter Byun, Setareh Safavi, Seth Cervantes
Place of PublicationUSA
PublisherIGI Global
Chapter11
Pages252-273
Number of pages22
ISBN (Electronic)9781799866114
ISBN (Print)9781799866091, 9781799866107
DOIs
Publication statusPublished - Feb 2021

Keywords

  • CALL
  • TESOL
  • Language Technology
  • writing
  • Motivation
  • learner langauge
  • Error analysis
  • Feedback

ASJC Scopus subject areas

  • Language and Linguistics
  • Education

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