DocumentCode
2709500
Title
Towards automated assessment of engineering assignments
Author
Quah, Jon Tong-Seng ; Lim, Luo-Ren ; Budi, Hendri ; Lua, Kim-Teng
fYear
2009
fDate
14-19 June 2009
Firstpage
2588
Lastpage
2595
Abstract
This paper reports an automated engineering assignments marking system using support vector machines (SVMs). A typical engineering assignment consists of more than just text. It may also contain mathematical equations, pictures, diagrams, charts, algorithms, or even programming source codes. These elements have to be taken into consideration in the marking process. The automated marking process is more consistent. The system learns how to mark based on grades given for the first few scripts. The system would learn the marking scheme and mark the subsequent scripts automatically. A prototype system to mark equations and short answers is prototyped and evaluated. This system forms the foundation to be expanded into a full fledge automated assessment system.
Keywords
educational technology; engineering education; support vector machines; automated engineering assignments marking system; educational technology; engineering education; learning systems; mathematical equations; programming source codes; support vector machines; Circuit testing; Design engineering; Educational technology; Equations; Mathematical programming; Neural networks; Programming profession; Prototypes; Support vector machines; Systems engineering and theory; educational technology; engineering education; learning systems; support vector machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location
Atlanta, GA
ISSN
1098-7576
Print_ISBN
978-1-4244-3548-7
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2009.5178782
Filename
5178782
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