Posts Tagged with "human-in-the-loop"
Prompt Templates for Fair, Specific, Actionable Essay Feedback
Copy-paste prompts to generate clear, rubric-aligned feedback on structure, evidence, clarity, and citations.Read More →
Migration Guide: Move from Manual to AI Grading (4-Week Plan)
Pilot, calibrate, and roll out AI grading in four weeks—templates, comms, and QA checkpoints included.Read More →
Open-Ended STEM: Grading Explanations, Proof Sketches, and Diagrams (with AI)
Score reasoning and method—not just the final answer—using criteria, exemplars, and partial credit. Practical workflows for AI grading of STEM short answers, proofs, and diagram-based responses.Read More →
How to Calibrate AI Grading with Cohen’s Kappa (and When It Matters)
Step-by-step: sample size, double-rating, computing Kappa (with a worked example), interpreting thresholds, and acting on results.Read More →
Rubric Engineering: Turn Outcomes into Reliable AI Criteria
Translate outcomes into criteria, scales, and exemplars so AI can deliver consistent, auditable feedback.Read More →
Automated Essay Scoring (AES) vs. AWE vs. LLMs: What Actually Works in 2025
Plain-English comparison of AES, AWE, and LLM-based grading—strengths, limits, costs, privacy, and when to use each with real classroom constraints.Read More →
AI Essay Grading, Without Losing Your Rubric (Human-in-the-Loop)
Turn your rubric into consistent, auditable AI feedback. See prompts, workflows, and HITL steps that keep instructor control.Read More →
How to Grade Short-Answer Questions with AI (Step-by-Step Guide)
Practical workflow for partial credit, rubrics, and error handling when grading short-answer questions with AI.Read More →
Gradescope Alternative for Essay & Short-Answer Grading
Feature-by-feature comparison focused on open-ended responses, rubric control, and human-in-the-loop reviews.Read More →
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