Short and Open Answer Question Assessment System based on Concept Maps

Computer Assisted Assessment of Short and open answers has established a great deal of work during the last years due to the need of evaluating the deep understanding of the lessons' concepts by learners that, conferring to most teachers, cannot be done by simple MCQ testing. In this paper we have reviewed the techniques underpinned this system, the description of currently available systems for marking short and open text answer and finally proposed a system that would evaluate answers using Natural Language Processing and lastly compared the results obtain by human expert graders and proposed system. We have also compared the results of proposed system with some existing systems.