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AutoScor: An Automated System for Essay Questions Scoring

Alzahrani, Ahmed and Alzahrani, Abdulkareem and Al Arfaj, Fawaz K and Almohammadi, Khalid and Alrashidi, Malek (2015) 'AutoScor: An Automated System for Essay Questions Scoring.' International Journal of Humanities, Social Sciences and Education, 2 (5). pp. 182-187. ISSN 2349-0373

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Abstract

The automated scoring or evaluation for written student responses have been, and are still a highly interesting topic for both education and natural language processing, NLP, researchers alike. With the obvious motivation of the difficulties teachers face when marking or correcting open essay questions; the development of automatic scoring methods have recently received much attention. In this paper, we developed and compared number of NLP techniques that accomplish this task. The baseline for this study is based on a vector space model, VSM. Where after normalisation, the baseline-system represents each essay by a vector, and subsequently calculates its score using the cosine similarity between it and the vector of the model answer. This baseline is then compared with the improved model, which takes the document structure into account. To evaluate our system, we used real essays that submitted for computer science course. Each essay was independently scored by two teachers, which we used as our gold standard. The systems’ scoring was then compared to both teachers. A high emphasis was added to the evaluation when the two human assessors are in agreement. The systems’ results show a high and promising performance.

Item Type: Article
Uncontrolled Keywords: Automated Essay Scoring, Project Essay Grade, E-Pedagogy and E-Assessment
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 07 Oct 2015 14:33
Last Modified: 07 Oct 2015 14:33
URI: http://repository.essex.ac.uk/id/eprint/15227

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