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Reseach Article

Design of an Automated Essay Grading (AEG) System in Indian Context

by Siddhartha Ghosh, Sameen S Fatima
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 11
Year of Publication: 2010
Authors: Siddhartha Ghosh, Sameen S Fatima
10.5120/237-391

Siddhartha Ghosh, Sameen S Fatima . Design of an Automated Essay Grading (AEG) System in Indian Context. International Journal of Computer Applications. 1, 11 ( February 2010), 71-76. DOI=10.5120/237-391

@article{ 10.5120/237-391,
author = { Siddhartha Ghosh, Sameen S Fatima },
title = { Design of an Automated Essay Grading (AEG) System in Indian Context },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 11 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 71-76 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number11/237-391/ },
doi = { 10.5120/237-391 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:46:05.412995+05:30
%A Siddhartha Ghosh
%A Sameen S Fatima
%T Design of an Automated Essay Grading (AEG) System in Indian Context
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 11
%P 71-76
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Automated essay grading or scoring systems are not more a myth they are reality. As on today, the human written (not hand written) essays are corrected not only by examiners / teachers also by machines. The TOEFL exam is one of the best examples of this application. The students’ essays are evaluated both by human & web based automated essay grading system. Then the average is taken. Many researchers consider essays as the most useful tool to assess learning outcomes, implying the ability to recall, organize and integrate ideas, the ability to supply merely than identify interpretation and application of data. Automated Writing Evaluation Systems, also known as Automated Essay Assessors, might provide precisely the platform we need to explicate many of the features those characterize good and bad writing and many of the linguistic, cognitive and other skills those underline the human capability for both reading and writing. They can also provide time-to-time feedback to the writers/students by using that the people can improve their writing skill. A meticulous research of last couple of years has helped us to understand the existing systems which are based on AI & Machine Learning techniques, NLP (Natural Language Processing) techniques and finding the loopholes and at the end to propose a system, which will work under Indian context, presently for English language influenced by local languages. Currently most of the essay grading systems is used for grading pure English essays or essays written in pure European languages. In India we have almost 21 recognized languages and influence of these local languages, in English, is very much here. Newspapers in Hyderabad sometimes print like – “Now the time has come to say ‘albida’ (good bye) to monsoon”. Due to the influence of local languages and English written by nonnative English speakers (ie. Indians) the result of TOEFL exams has shown lower scores against Indian students (also Asian students). This paper focuses on the existing automated essay grading systems, basic technologies behind them and proposes a new framework to over come the problems of influence of local Indian languages in English essays while correcting and by providing proper feedback to the writers.

References
  1. Bloom, B.S. (1956). Taxonomy of educational objectives: The classification of educational goals. Handbook I, Cognitive domain. New York, Toronto: Longmans, Green.
  2. Burstein, J., Kukich, K., Wolff, S., Chi, L., & Chodorow M. (1998). Enriching automated essay scoring using discourse marking. Proceedings of the Workshop on Discourse Relations and Discourse Marking, Annual Meeting of the Association of Computational Linguistics, Montreal, Canada.
  3. Burstein, J., Leacock, C., & Swartz, R. (2001). Automated evaluation of essay and short answers. In M. Danson (Ed.), Proceedingsof the Sixth International Computer Assisted Assessment Conference, Loughborough University, Loughborough, UK.
  4. Christie, J. R. (1999). Automated essay marking-for both style and content. In M. Danson (Ed.), Proceedings of the Third Annual Computer Assisted Assessment Conference, Loughborough University, Loughborough, UK.
  5. Christie, J. R. (2003). Email communication with author. 14th April. Cucchiarelli, A., Faggioli, E., & Velardi, P. (2000). Will very large corpora play for semantic disambiguation the role that massive computing power is playing for other AI-hard problems? 2nd. Conference on Language Resources and Evaluation (LREC), Athens, Greece.
  6. Deerwester, S. C., Dumais, S. T., Landauer, T. K., Furnas, G. W., & Harshman R. A. (1990). Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41(6), 391-407.
  7. de Oliveira, P.C.F., Ahmad, K., & Gillam, L. (2002). A financial news summarization system based on lexical cohesion. Proceedings of the International Conference on Terminology and Knowledge Engineering, Nancy, France.
  8. E.B. Page, “The Use of the Computer in Analyzing Student Essays,” Int'l Rev. Education, Vol. 14, 1968, pp. 210–225.
  9. Larkey, L. S. (2003). Email communication with author. 15th April. Mason, O. & Grove-Stephenson, I. (2002). Automated free text marking with paperless school. In M. Danson (Ed.), Proceedings of the Sixth International Computer Assisted Assessment Conference, Loughborough University, Loughborough, UK.
  10. Rudner, L.M. & Liang, T. (2002). Automated essay scoring using Bayes’ Theorem. The Journal of Technology, Learning and Assessment, 1(2), 3-21.
  11. Siddhartha Ghosh, Sameen S Fatima, (2007), use of local languages in Indian portals, CSI Communication, June’07 issue, pp- 4-12.
  12. Siddhartha Ghosh, Sameen S Fatima, (2007), Retrieval of XML data to support NLP applications, ICAI'07- The 2007 International Conference on Artificial Intelligence Monte Carlo Resort, Las Vegas, Nevada, USA ,June 25-28, 2007.
  13. Siddhartha Ghosh, Sameen S Fatima, (2007), A Web Based English to Bengali Text Converter, will be presented in The 3rd Indian International Conference on Artificial Intelligence (IICAI-07), Pune , India, December 17-19, 2007.
  14. Valenti, S., Cucchiarelli, A., & Panti M. (2000). Web based assessment of student learning. In A. Aggarwal (Ed.), Web-based Learning & Teaching Technologies, Opportunities and Challenges, 175-197. Idea Group Publishing.
  15. Valenti, S., Cucchiarelli, A., & Panti, M. (2002). Computer based assessment systems evaluation via the ISO9126 quality model. Journal of Information Technology Education, 1 (3), 157-175.
Index Terms

Computer Science
Information Sciences

Keywords

Automated Essay Grading Indian AEG NLP Text Processing Essay Evaluation