New Delhi: In a bid to curb unfair practices during exams, the Central Board of Secondary Education (CBSE) is set to use advanced data analytics.
“While all the efforts are being made to prevent the use of unfair means practices during the conduct of examinations in physical terms through monitoring by appointing external observers/flying squads and use of CCTV, the CBSE has decided further to improve upon it by using advance data analytics to detect cases/centres while there is a high probability of recourse to unfair means during examinations,” director of IT at CBSE, Antriksh Johri was quoted as saying by Mint.
“The 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,” added Johri.
In collaboration with the Central Square Foundation and Playpower Labs, a pilot analysis of the process was carried out during January 2021 Central Teacher Eligibility Test (CTET) examination. It was aimed at developing algorithms to identify suspicious data patterns at the centre and the individual test-taker level.
“Based on the analysis results and the algorithms developed, CBSE has decided that such analysis will be extended to other administered examinations,” said Johri said.
According to him, CBSE aims to identify examination centres where the data indicates the existence of malpractices during the conduct of examinations.
“This will be used to strengthen the reliability of National Achievement Survey, Central Teachers Eligibility Test and board examinations conducted by CBSE,” The IT director said.
Meanwhile, the CBSE will begin the term-1 board exam for class X and class XII from 30 November and 1 December respectively. The board will conduct the exams in two phases for the first time due to the COVID-19 pandemic.
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