AI-Powered Evaluation in Indian Schools: A Shift Towards Smarter Assessments

India's school examination systems are undergoing a digital transformation, with Artificial Intelligence (AI) now playing a key role in both state and national-level assessments. Two major educational boards have adopted AI tools to streamline the evaluation of answer sheets and enhance accuracy in student assessment.

West Bengal Introduces AI in OMR-Based Exams

The West Bengal Council of Higher Secondary Education piloted AI integration in its newly introduced OMR-based format for the Part-I exams. As students encountered this format for the first time, AI tools were brought in to reduce errors-particularly those involving incorrectly filled registration details or improperly marked answers. The technology helped ensure valid responses weren't disqualified due to minor mistakes, making the process more student-friendly.

CISCE's SHINE Project and Computer-Based Testing

On a national level, the Council for the Indian School Certificate Examinations (CISCE) launched a pilot initiative, SHINE, targeting classes 3, 6, and 9. The project employs computer-based testing in 300 schools across India, including over 50 in West Bengal. AI-driven evaluation software supports the process by analyzing student responses and generating detailed performance reports. These reports provide both individual insights and school-level analytics, helping educators better understand learning outcomes.

Moving Towards Data-Driven Education

With students increasingly comfortable with digital platforms, AI-backed assessments are becoming a practical choice for schools. From reducing manual errors in OMR sheets to delivering real-time performance analytics, AI is gradually reshaping the way student performance is measured and understood in India’s evolving education system.