Linking China's Standard of English Language Ability with the Automated Essay Assessment
- DOI
- 10.2991/iccese-19.2019.37How to use a DOI?
- Keywords
- China's Standard of English Language Ability (CSE); Automated Essay Scoring (AES) system; e-rater
- Abstract
The purpose of this two-stage study is to examine the potential of China’s Standard of English Language Ability (CSE) for Automated Essay Scoring (AES) development. In the first stage of the study, 657 descriptors from 24 writing-related CSE scales were inspected to generate categories representative of EFL learners’ academic writing ability. In the second stage, the findings were compared to e-rater construct composites. Similarities between the CSE and e-rater categories were evident in terms of the overall emphases on the grammatical and textual dimensions as well as the coverage from the basic concepts like mechanics to the more abstract terms such as style. The comparison also pointed to great difference. The CSE categories presented positive descriptions of language use for learning/teaching purpose, while e-rater focused on language errors out of scoring concern. E-rater offered more explicit and operational interpretations of surface linguistic features. This paper not only supplies validation evidence of the CSE scales, but also demonstrates their usefulness for developing a customized AES system for EFL writers in China.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Wei Ye AU - Dandan Huang PY - 2019/04 DA - 2019/04 TI - Linking China's Standard of English Language Ability with the Automated Essay Assessment BT - Proceedings of the 3rd International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2019) PB - Atlantis Press SP - 164 EP - 166 SN - 2352-5398 UR - https://doi.org/10.2991/iccese-19.2019.37 DO - 10.2991/iccese-19.2019.37 ID - Ye2019/04 ER -