جامعة الملك عبدالعزيز

KING ABDULAZIZ UNIVERSITY

Faculty of Computing and Information Technology in Rabigh

DEVELOPMENT OF AN INTELLIGENT ESSAY AUTOGRADING SYSTEM BASED ON ONTOLOGY MODEL AND OPEN NLP FRAMEWORK

Autograding for essay has been considered as main focus for research areas to asset learning process outcome. Autograding for essay is very important to help the teacher and academic staff to speed up their works in grading the quiz or examination answer. The essay answer must be consistent and low computational time and cost. However, essay is very hard to be checked due to it’s consist high subjectivity during the review process. The necessity on automated scoring for essay is growth together with the improvement of technology in E-learning system. One of the problems that appear is how to increase the performance of E-Learning system especially essay answer case. Thus, it’s very hard to solve if only use string pattern matching. In short, the involvement of semantic web is required in order to solve the variation of data. Learning management system (LMSes) is a computer application that can be used as tools to support teaching activities. Recently a lot of open source E-Learning applications are produced and has been used widely in academic institutions study about how to make automatic marking for ESL essay. This project proposes a new technique to increase the accuracy and performance of E-learning system. The new technique consists of two main processes: synonym comparison based on WordNet-based semantic similarity measurement and scoring process based on ontology structure.



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Last Update 4/19/2011 10:31:13 AM