Insights & Resources
Expert insights on AI-powered grading, educator productivity, and best practices for fair assessment.
Formative and summative assessment examples by type, a case study on group coaching during project work, and tips for combining both assessment types.
Create an effective rubric in 7 steps: analytic vs holistic, level descriptors, weights, and common mistakes, with examples for essays and projects.
Every grade weighting mechanism, from simple percentages to standards-based approaches, with calculation examples, pros and cons, and a decision framework.
We graded the same 8 student papers 3 times each with ChatGPT, Claude, and MarkInMinutes. The results differ sharply in consistency and rubric adherence.
How our multi-agent AI architecture delivers consistent, evidence-based grading, with built-in fact-checking, adversarial review, and calibrated scoring.
ChatGPT is great for many things, but not for consistent, rubric-based grading. Why dedicated AI grading tools outperform general-purpose LLMs.
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