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How evaluation works

The AI learns from your evaluators, then scales with them

Multi-format answers

Candidates answer with typed text, uploaded documents, diagrams or files — speech-to-text lets them compose answers by speaking instead of typing.

    Initial manual evaluation

    Evaluators grade the first 20–25% of a batch manually, establishing the marking pattern the AI will learn from.

      AI pattern learning & automated grading

      The AI learns evaluation patterns, marking criteria and scoring logic, then applies them to the remaining 75–80% of answers.

        Accuracy matching & semantic analysis

        AI compares answers against model answers, auto-detects keywords, analyzes structure and coherence, and reads for semantic meaning rather than keyword matching alone.

          Partial credit & feedback

          Partial marks are awarded for incomplete answers, with detailed feedback explaining the score rationale for every response.

            Quality assurance

            Random sampling and moderation checks the AI’s grading before results are finalized, keeping a full audit trail.

              Accuracy at scale

              Consistent grading, backed by an audit trail

              • 75%

                Reduction in evaluation time

              • 20–25%

                Answers evaluators grade manually before AI learns the pattern

              • 5M+

                Evaluations completed

              • 100%

                Platform uptime

              FAQ

              Questions about descriptive evaluation

              Does AI replace human evaluators for descriptive answers?

              No — it learns from them. Evaluators grade the first 20–25% of a batch manually, and the AI applies that same marking pattern to the rest, with random sampling and moderation as quality assurance.

              How accurate is AI descriptive evaluation?

              The AI matches answers against model answers, detects keywords, analyzes structure and reads for semantic meaning — not just keyword matching — with random sampling and moderation as ongoing quality assurance.

              What answer formats are supported?

              Typed answers, uploaded documents, diagrams and files, with speech-to-text available for candidates who prefer to compose answers by speaking.

              Is the exam itself secure?

              Yes — descriptive tests run with Eklavvya’s AI proctoring to eliminate cheating during the exam, in addition to the AI-driven evaluation afterward.

              How much faster is AI descriptive evaluation?

              Institutions typically see a 75% reduction in evaluation time versus fully manual grading, while keeping a full audit trail of AI and evaluator scores.

              Run a descriptive test the way your students will see it.

              Bring a sample answer set — we'll show you AI evaluation next to your own grading.