New Delhi: Secondary Education Center Council (CBSE) will use advanced data analysis to ensure justice in the test conducted by identifying centers where there is a high probability for unfair ways.
Examination must be done by standards and fairly.
All efforts are made to prevent adoption of unfair facilities through monitoring by pointing to external observers and flying teams, and CCTV use, said Antriksh Johri, Director (IT), CBSE.
“We have decided further to increase it by using advanced analytics data to detect cases and centers where there is a high probability for unfair means during the exam,” he said.
Pilot analysis has been carried out on the Central Teacher’s Eligibility exam data in January 2021 in collaboration with collaboration with Central Square Foundation and Playpower Laboratories to develop algorithms to identify suspicious data patterns in the middle and the level of individual test takers.
Safe! You have managed to throw your votelogin to see results “Based on the results of the analysis and algorithm developed, CBSE has decided that the analysis will be extended to the test given another.
The board will use advanced data analysis to detect, respond, and hence, in the long term, Prevent irregularities in academic testing in all the main CBSE exams given in the country, “said Johri.
He said based on the analysis, the CBSE aims to identify inspection centers where data shows the existence of malpractice during exam behavior.
“This post, the right steps can be taken by CBSE to strengthen the reliability of the exam and to block such malpractices in the future.
This will be used to strengthen the reliability of the national achievement survey, teacher trials and teacher council examinations carried out by CBSE,” Johri said.
CBSE to use advanced data analysis to check adoption means unfair in the test
