Proceedings of the 2017 3rd Conference on Education and Teaching in Colleges and Universities (CETCU 2017)

Feedback Analysis of PIGAI Online Scoring System in Business English Writing

Authors
Bo Hu
Corresponding Author
Bo Hu
Available Online July 2017.
DOI
10.2991/cetcu-17.2017.18How to use a DOI?
Keywords
PIGAI, Feedback analysis, Business writing, Case study.
Abstract

The study explores the effect of evaluation feedback provided by PIGAI-an extensively-used online automated essay scoring system in China. Case study method is employed for the analysis of 2 groups of 10 sample essays of Business English to compare and discuss the online feedback data. The results show that the PIGAI scoring system highlights the appropriate expressions, enlarges knowledge of synonyms and collocations, and distinguishes confusing words. But there is still room for improvement for its inability to accurately identify errors or provide appropriate suggestions associated with textual coherence and organization unity.

Copyright
© 2017, 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/).

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Volume Title
Proceedings of the 2017 3rd Conference on Education and Teaching in Colleges and Universities (CETCU 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
July 2017
ISBN
978-94-6252-374-6
ISSN
2352-5398
DOI
10.2991/cetcu-17.2017.18How to use a DOI?
Copyright
© 2017, 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  - Bo Hu
PY  - 2017/07
DA  - 2017/07
TI  - Feedback Analysis of PIGAI Online Scoring System in Business English Writing
BT  - Proceedings of the 2017 3rd Conference on Education and Teaching in Colleges and Universities (CETCU 2017)
PB  - Atlantis Press
SP  - 73
EP  - 76
SN  - 2352-5398
UR  - https://doi.org/10.2991/cetcu-17.2017.18
DO  - 10.2991/cetcu-17.2017.18
ID  - Hu2017/07
ER  -