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Automated exam paper process based on schedule and authenticity - ICARI-2020

 Automated exam paper process based on schedule and authenticity

International Conference of Advance Research and Innovation (ICARI-2020)

Abstract: the assessment of the student will be done by conducting of the examination in different levels. Setting of the question paper is the challenging task for the teacher in educational institutions. Question papers setting must follow certain standard methods. Each question will be specified with cognitive level of the course outcome defined by the expert teacher in an institute. A qualified question paper setting will sound the standardization of the educational institute. This will lead to judge the student performance in a qualitative way. Tools are required to design for atomicity of qualitative question papers generation. Most of the researchers are suggested to considered different parameters like cognitive levels, descriptions, duration etc. Atomicity of question paper generation is based on specified scheduled time along with security, authentication & control of the authorities. The proposed system is the smart question paper generation system based on schedule and authenticity. It will generate the question paper in a pdf format based on authenticated scheduling time. Examination paper automaticity is based on cognitive levels specified in the question bank that will store in data repository. Authentication is achieved by giving permissions through keys to generate & decrypt the unique exam paper by the authorized personnel in a given schedule time. Exam paper generation authenticity certificates are produced by the system based on schedule time of generation.

Keywords—assessment, qualified question paper, cognitive levels, repository, atomicity, authenticity.

*Corresponding Author,

E-mail address: shanmukharao.v@gmail.com All rights reserved: http://www.ijari.org

 International Conference of Advance Research and Innovation (ICARI-2020) , SSRN: https://ssrn.com/abstract=3643880 or http://dx.doi.org/10.2139/ssrn.3643880, 

Click for Article

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3643880.