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CHENNAI: Chief Minister C Joseph Vijay on Monday announced the expansion of the Chief Minister’s Breakfast Scheme to cover government and aided school students of classes 6 to 8 as well, fulfilling a ...

Tamil Nadu makes physical education compulsory for Classes 6 to 12 in all schools. The Tamil Nadu government has made physical education classes compulsory for students of Classes 6 to 12 in all ...

Ahead of the reopening, the Tamil Nadu School Education Department conducted a comprehensive review of preparedness measures in schools to ensure a smooth and safe return for students. Schools across ...

The Tamil Nadu government has postponed the reopening of schools for the 2026–27 academic session to June 4 for students of Classes 1 to 12 amid prevailing weather concerns across the state. The ...

Tamil Nadu Class 10 Result 2026: The Directorate of Government Examinations (DGE), Tamil Nadu, has released the schedule for revaluation, answer sheet applications and supplementary examinations along ...

Tamil Nadu School Education Department is ready to welcome students back for the new academic session starting June 1, 2026. A major highlight this year is the introduction of a fresh curriculum for ...

Tamil Nadu registered a 95.25% pass percentage among students who appeared for the Central Board of Secondary Education (CBSE) Class 12 exams. This marks a dip from the previous year’s pass rate of 98 ...

CHENNAI: As is the trend, the Class 12 examination results released on Friday showed a marginal increase in Tamil Nadu’s pass percentage compared to last year, with 95.20% of students clearing the ...

In the Tamil Nadu Class 12 State Board examination results released by School Education Secretary B. Chandra Mohan in Chennai on Friday (May 8, 2026), the overall pass percentage rose marginally to 95 ...

Girls surpassed boys by 3.81 percentage points this year, compared to a 3.54% difference recorded in 2025. Of the 7,536 Higher Secondary schools that participated in the examinations, 2,639 schools ...

Soft measurement based on data-driven models is widely used to predict key variables in process industry due to low cost and real-time capability. However, these models struggle with noisy datasets ...