Developing an automated writing placement system for ESL learners
- Submitting institution
-
University of Cambridge
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1928
- Type
- D - Journal article
- DOI
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10.1080/08957347.2018.1464447
- Title of journal
- Applied Measurement in Education
- Article number
- -
- First page
- 251
- Volume
- 31
- Issue
- 3
- ISSN
- 0895-7347
- Open access status
- Not compliant
- Month of publication
- April
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 14
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The model described here is used in the Write & Improve tool deployed by the University spin-out English Language iTutoring (ELiT) [see case study for more details]. This was the first writing placement model that predicts someone's proficiency level using the CEFR benchmark of language proficiency. As a result of this publication, the first author was invited to speak at the Innovation in Higher Education Practice and Policy conference (May 2018) and the Association of Language Testers in Europe (ALTE) course on technology in language test production and validation (Sept 2018).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -