Paper Details

Online education is helping students and institutions worldwide to accessknowledge base of wide variety. Thisform of learning and education is increasing rapidly, Evaluation and proctoring for the online courses has becomeamajor bottleneck for scalability of such learning systems. Manual humansupervision is a common approach for examproctoring and evaluation whereexaminer needs to b e present in the testing environment or needs to monitortestingenvironment of a test taker visually and acoustically through a webcam. In our proposed system, we present a completelyautomated, examproctoring solution that requires no human involvement. The system integrates all the inputs to processand estimate the variety of events, behaviorsand patterns typically associated with cheating. By combining continuousidentity verification and automatic detection of malpractice or suspiciousactivities by a student, this system provides ascalable, online,completelyautomated, human interaction free proctoring system that can b e accessedby test takers andadministrators to a truly efficient solution to conventional problem of online exam proctoring.

Prof. Mrs. Nerkar M. P., A.T. Awaghade, D. A. Bombe, T. R. Deshmukh, K. D. Takawane, “Online Exam Proctoring System”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 12, pp. -, December 2017.