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New Delhi: The Central Board of Secondary Education (CBSE) for Class 10 and 12 from the upcoming board exams wants to use not only CCTV surveillance and outside observers, but also data analytics to identify malpractices and frauds at exam centres. .
CBSE Board 10th and 12th exams are being conducted here two parts For 2021-22 academic session – Term 1 examinations are scheduled Start From 16 November. They will be Multiple Choice Questions (MCQ) based exams, which will be administered through OMR sheets.
The board, in a statement on Tuesday, said it will “use advanced data analytics to detect, respond and, therefore, in the long run, prevent any irregularities in academic testing in all major CBSE administered examinations in the country”.
It will be used to strengthen the credibility of National Achievement Survey (NAS), Central Teacher Eligibility Test (CTET) and board exams conducted by CBSE.
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‘Study algorithms and patterns to catch malpractice’
A senior official from CBSE’s IT team told ThePrint, “Using data forensics, we will study algorithms and patterns at exam centers to spot malpractices and if anything is found at any centre, appropriate action will be taken. Will go.”
The Board will study such a pattern where two or more students or the entire class has similar answers to a question or if more than one student or a group of students has missed an answer to a question. “Such a pattern tells us that there is something wrong with the exam center and we will mark it for malpractice,” the official said.
He said, “So far, the Board is ensuring all efforts to prevent the use of unfair means and practices during the conduct of examinations physically, through appointment of outside observers/flying squads and monitoring by use of CCTVs, ” They said.
Data Analytics will be a step forward in the same direction.
“CBSE has decided to revamp its existing methods by using advanced data analytics to detect cases/centres where there is a high probability of resorting to unfair means during examinations.”
A pilot analysis was conducted to develop algorithms to identify suspicious data patterns at the center in collaboration with Central Square Foundation (CSF) and Playpower Labs in the CTET exam held in January 2021, a CBSE statement said. Individual Examiner Level.
“Based on the analysis results and the developed algorithm, CBSE has decided that such analysis will be extended to other administered examinations,” it added.
“Post this, appropriate measures may be taken by CBSE to strengthen the credibility of the examinations and to prevent any such malpractice in future,” it said.
(Edited by Polomi Banerjee)
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