Proceedings of the International Conference on Education Innovation and Social Science (ICEISS 2017)

Error Analysis in English Writing of Engineering College Students Based on pigai.org.

Authors
Rui Sun
Corresponding Author
Rui Sun
Available Online November 2017.
DOI
https://doi.org/10.2991/iceiss-17.2017.45How to use a DOI?
Keywords
English writing; Error analysis; Engineering students; Pigai.org
Abstract
As an online English compositions revision system, pigai.org is technologically supported by corpus and cloud computing. It has offered convenience to college English-learners as well as English teachers to analyze and correct the mistakes existing in students' English writing. Based on error analysis theory and with the help of the data from pigai.org, this paper generalizes the most common and typical mistakes in 952 compositions of 215 engineering students and finds out that their mistakes mainly fall into four categories: spelling, vocabulary, collocation as well as sentences. Through analysis, we know there are two explanations accounting for this: mother tongue interference and lack of basic knowledge. Accordingly, we put forward some useful suggestions for college English teachers to improve their teaching of English writing.
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Proceedings
International Conference on Education Innovation and Social Science (ICEISS 2017)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
November 2017
ISBN
978-94-6252-421-7
ISSN
2352-5398
DOI
https://doi.org/10.2991/iceiss-17.2017.45How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Rui Sun
PY  - 2017/11
DA  - 2017/11
TI  - Error Analysis in English Writing of Engineering College Students Based on pigai.org.
BT  - International Conference on Education Innovation and Social Science (ICEISS 2017)
PB  - Atlantis Press
SP  - 184
EP  - 189
SN  - 2352-5398
UR  - https://doi.org/10.2991/iceiss-17.2017.45
DO  - https://doi.org/10.2991/iceiss-17.2017.45
ID  - Sun2017/11
ER  -