The recent discussion around CBSE Class 12 evaluation through On-Screen Marking (OSM) has brought one important question into focus:
Are we judging the technology, or are we judging the operational system around the technology?
OSM itself is not the problem.
In fact, digital evaluation can be a strong step forward. CBSE introduced OSM to improve transparency, accuracy, speed of evaluation, reduction of manual errors, secure handling of answer sheets, and faster result processing. The system can also automatically total marks and help prevent answers from being skipped during evaluation.
But at national scale, technology alone is never enough.
The Real Challenge Is the Whole Workflow
When nearly a crore answer books are scanned, uploaded, assigned, evaluated, checked, and processed, the real challenge is not only whether the marking platform works. The challenge is whether the entire evaluation workflow works.
That includes scan quality, page clarity, barcode mapping, missing-page checks, evaluator experience, portal performance, exception handling, review process, audit trail, and student grievance mechanism.
CBSE's own explanation of the OSM workflow said scanned answer books went through first-level quality checks, and if a scanned copy was unsatisfactory, the answer book was scanned again. It also said evaluators could reject answer books with comments if they noticed issues during marking, after which corrective action would be taken before evaluation resumed.
So, the concern should not be framed as:
OSM failed.
The more accurate concern is:
Was the full operational layer around digital evaluation strong enough for this scale?
What the Reports Pointed To
Media reports stated that CBSE scanned about 98 lakh answer books in the 2026 Class 12 exercise. Reports also said that around 68,018 answer books were rescanned due to poor image quality, while 13,583 answer books with persistent scanning issues were manually evaluated.
The same reporting mentioned operational issues such as server overload, download failures, login errors, static IP configuration problems, delays in mapping marking schemes, and language or data mismatches. CBSE officials also acknowledged that there were initial glitches when major-subject evaluation began, including systems hanging and download issues, while saying those issues were resolved quickly.
This is exactly where assessment technology needs to evolve.
The Future Is Not AI vs Teachers
The future of evaluation should not be AI vs teachers or digital vs manual.
It should be teachers supported by strong technology.
Human evaluators must remain at the centre of academic judgment. But technology can act as an additional quality-assurance layer around the process.
At EduSageAI, this is the direction we are thinking deeply about.
We do not see AI as a replacement for teachers. We see it as a second layer that can support evaluation workflows by flagging risks before they affect students.
What a Strong Quality Layer Should Flag
A strong assessment system should be able to flag:
- Unclear or blurred scans
- Missing pages or page-order issues
- Unreadable handwriting zones
- Blank-page mismatches
- Unusual score deviations
- Rubric inconsistencies
- Totalling or mapping anomalies
- Cases that need another human review
This kind of layer does not take over evaluation.
It makes evaluation more reliable, auditable, and fair.
Because when marks affect admissions, scholarships, confidence, and career choices, even a small process gap can become a very big issue for a student.
The Lesson for Large-Scale Assessment
India should definitely move towards more technology-enabled evaluation. OSM is a step in that direction. But large-scale evaluation systems must be designed not just for digital checking, but for end-to-end quality control.
The lesson from the CBSE Class 12 OSM discussion is simple:
Digital evaluation is not only about putting answer sheets on a screen.
It is about building a complete trust layer around assessment.
And that trust layer needs strong scanning checks, human review, AI-assisted quality assurance, transparent audit trails, and student-friendly grievance redressal.
Technology should not replace fairness.
Technology should strengthen it.
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