Published Paper Details:

Computer based evaluation of students’ performance is playing a vital role in world wide for all kinds of examinations. This method is somewhat faster than our manual evaluating process. In this study a new method is proposed to evaluate the students’ brief answers such as descriptive answers using Artificial Neural Networks [ANN]algorithm and Natural Language Processing [NLP] algorithms. In this system staff member creates answer sheet and keyword dataset for the examination process. These dataset are stored in data storage and student enters their answers in the examination page. This system automatically calculates result using two algorithms of NLP and ANN. Before this evaluation process the pre-processing technique in applied on the answers entered by the students. In this study, we used an Artificial Neural Networks algorithm for the normal answer comparison and stores marks for this in database and also evaluate the same answer using Natural language processing [NLP] algorithm to check grammar mistakes and stores the marks in database and finally compares both marks and provides final result. By these methods we can get an efficient result. The results given by the system is compared with the evaluation done by the faculty member.