CBSE to use advance data analytics to prevent exam irregularities

The central board conducts class 10th and 12th annual examinations for all the affiliated schools. Teacher eligibility test CTET is also conducted by the board twice a year.

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New Delhi: The Central Board of Secondary Education (CBSE) will be using progressive data analytics to observe the centres having a high probability of unfair means during the board examinations.

“CBSE will use advanced data analytics to detect, respond and therefore, in the long run, prevent any irregularities in academic testing across all major CBSE administered exams in the country,” CBSE stated on Tuesday in a press release.

The board stated that in order to recognize suspicious activity at the centre, a pilot analysis was commenced in the CTET exam of January edition collaborating with Central Square Foundation (CSF) and Playpower Labs.

“On the basis of such analysis, CBSE aims to identify examination centres where the data indicates the existence of malpractices during the conduct of examinations.  Post this, appropriate measures can be taken by CBSE to strengthen the reliability of the examinations and to deter any such malpractices in the future,” the board added.

“This will be used to strengthen the reliability of National Achievement Survey (NAS), Central Teachers Eligibility Test (CTET) and Board examinations conducted by CBSE,” they cited

The central board conducts class 10th and 12th annual examinations for all the affiliated schools. Teacher eligibility test CTET is also conducted by the board twice a year.

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