Expert insights on AI-powered grading, educator productivity, and best practices for fair assessment.
Practical formative and summative assessment examples organized by type. Includes a detailed case study on group coaching sessions during project work, implementation tips, and strategies for combining both assessment types.
Learn how to create effective rubrics in 7 steps. Covers analytic vs holistic rubrics, writing level descriptors, setting weights, and common mistakes — with real-world examples for essays, projects, and presentations.
Master every grade weighting mechanism — from simple percentage weighting to standards-based approaches. Includes calculation examples, edge cases, pros & cons, and a decision framework for choosing the right system.
We ran the same 8 student papers through ChatGPT, Claude, and MarkInMinutes 3 times each. The results reveal dramatic differences in consistency, rubric adherence, and grading quality. Here's what we found.
A look under the hood at 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 consistent, rubric-based grading isn't one of them. Here's why dedicated AI grading tools outperform general-purpose LLMs — and what to look for instead.