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 language | English |
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Title of host publication | CALL Theory Applications for Online TESOL Education |
Editors | Ken Kelch, Peter Byun, Setareh Safavi, Seth Cervantes |
Place of Publication | USA |
Publisher | IGI Global |
Chapter | 11 |
Pages | 252-273 |
Number of pages | 22 |
ISBN (Electronic) | 9781799866114 |
ISBN (Print) | 9781799866091, 9781799866107 |
DOIs | |
Publication status | Published - Feb 2021 |
Keywords
- CALL
- TESOL
- Language Technology
- writing
- Motivation
- learner langauge
- Error analysis
- Feedback
ASJC Scopus subject areas
- Language and Linguistics
- Education