Towards the use of Semi-structured Annotators for Automated Essay Grading

Lam, Hon; Dillon, Tharam S.; Chang, Elizabeth

doi:10.1109/DEST.2010.5610643

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Access Status

Open access

Authors

Lam, Hon

Dillon, Tharam S.

Chang, Elizabeth

Date

2010

Type

Conference Paper

Metadata

Show full item record

Citation

Lam, Hon Wai (Sean) and Dillon, Tharam and Chang, Elizabeth. 2010. Towards the use of Semi-structured Annotators for Automated Essay Grading, in Ismail, L. and Chang, E. and Karduck, A.P. (ed), IEEE international conference on digital ecosystems and technologies (DEST 2010), Apr 12 2010, pp. 228-233. Dubai, United Arab Emirates: IEEE.

Source Title

Proceedings of the IEEE international conference on digital ecosystems and technologies (DEST 2010)

Source Conference

IEEE international conference on digital ecosystems and technologies (DEST 2010)

DOI

10.1109/DEST.2010.5610643

ISBN

9781424455515

School

Digital Ecosystems and Business Intelligence Institute (DEBII)

Remarks

Copyright © 2010 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI

http://hdl.handle.net/20.500.11937/29899

Collection

Curtin Research Publications

Abstract

The amount of time teachers spend grading essays has increased over the past decade, prompting the development of systems that are able to lighten the workload. Many systems have thus far used linear regression or semisupervised methods towards this objective. This paper discusses some of the main Automated Essay Grading systems, highlighting some of their strengths and weaknesses, in addition to providing a brief overview of Text Mining and meta-data annotation techniques that could be used to facilitate the process of grading essays through an automated system.