The Application of Error Analysis in Writing Based on Automatic Scoring System

DOI

10.2991/assehr.k.200401.052How to use a DOI?

Keywords

automatic scoring system, error analysis, English writing

Abstract

Students should master the basic knowledge of the primary skill of writing, so as to form a comprehensive application of English knowledge and ability. English writing plays a vital role as the output skill among the four basic skills. However, numerous studies have shown that most junior high school students cannot easily complete an English composition without any problems. For the sake of improving students’ English writing ability, it is quite necessary to analyze mistakes in compositions and find out effective teaching methods. Error analysis is of great guiding significance to students’ English writing. However, facing with the large number of students in one class, this task seems to be heavy and inefficient for teachers. Artificial intelligence technology can be widely used in the process of English teaching and students’ learning. One of the applications of artificial intelligence technology related to students’ English writing correction is automatic scoring system. By using the automatic scoring system, the workload of teachers can be effectively reduced so that students can get amendments to their own composition. According to this amendment, students can modify their English composition appropriately so as to improve their English writing level.

Copyright

© 2020, 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/).

Download article (PDF)

TY  - CONF
AU  - Chunfang Li
PY  - 2020
DA  - 2020/04/06
TI  - The Application of Error Analysis in Writing Based on Automatic Scoring System
BT  - Proceedings of the International Conference on Education, Economics and Information Management (ICEEIM 2019)
PB  - Atlantis Press
SP  - 243
EP  - 247
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200401.052
DO  - 10.2991/assehr.k.200401.052
ID  - Li2020
ER  -