edu-demo-evaluator-free

You can evaluate educational demos without test bias by using a blind evaluation workflow that observes the demo as a learner and generates a transparent qualitative assessment. It captures key moments and learner impressions without relying on predefined rubrics or benchmarks.

Blind evaluation for educational tutorials is a qualitative assessment method where the evaluator interacts with the demo as a learner without seeing test cases or rubrics. It focuses on capturing genuine learner impressions to generate actionable feedback for improvement.

Yes, you can generate qualitative feedback for learning demos without numeric rubrics by following a deterministic, step-by-step workflow. It captures observations and first impressions as a learner, outputting a structured narrative assessment instead of numeric scores.

To start the HTTP server for an educational demo evaluation, run the command python3 -m http.server 9999 in your repository root. Then open the demo page via localhost:9999 to begin the step-by-step observation and assessment workflow.

No, the educational demo evaluation workflow does not require predefined test cases. It is designed specifically for scenarios where no rubrics or benchmarks exist, relying entirely on observing the demo as a learner to produce transparent qualitative feedback.

The qualitative demo evaluation outputs an agent_X_free_eval.json file. This file contains the learner-focused impressions, key moments, and narrative recommendations generated during the step-by-step evaluation workflow.