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Comparative Studies | Computer Science & Engineering | India | Volume 3 Issue 9, September 2014
Intelligent Tutoring System for Evaluating Student Performance in Descriptive Answers Using Natural Language Processing
Shweta Patil [5] | Sonal Patil [2]
Abstract: Computer Assisted Assessment of free-text 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 that, according to most educators and researchers, 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 free text response and finally proposed a system that would evaluate the descriptive type answers using Natural Language Processing and lastly compared the results obtain by human graders and proposed system. We have also compared the results of proposed system with existing systems.
Keywords: Computer Assisted Assessment, Short free text response, Descriptive type answer, Natural Language Processing
Edition: Volume 3 Issue 9, September 2014,
Pages: 779 - 783
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Experimental Result Paper, Computer Science & Engineering, India, Volume 11 Issue 6, June 2022
Pages: 1038 - 1041Classification of Glassdoor Pros and Cons into Pre-Defined Categories
Mahak [9] | Aditya Raj Gupta [2] | Deepti Buriya
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Survey Paper, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014
Pages: 2205 - 2207A Survey of Generating Multi-Document Summarizations
Patil Ajita S. | P. M. Mane [4]