Overview
Peer assessment fails when learners are asked to evaluate work they do not yet know how to evaluate. Without explicit criteria, calibration, and a structured feedback protocol, peer assessment produces three outcomes: generic praise ("good job"), unconstructive criticism ("this is confusing"), and social bias (friends rate friends highly). None of these serve learning.
The Peer Assessment Framework Designer builds a peer assessment system where the quality of feedback is designed in, not hoped for. Learners are calibrated against anchor examples before they assess, given structured protocols that force specific evidence-based comments, and protected from social bias through anonymization and structured disagreement resolution.
What you get: - Calibration sequence: how to train learners to apply the criteria before peer assessment begins - Structured feedback protocol: the exact format learners use to give feedback — not a free-text box - Anchor examples: descriptions of work at each quality level for calibration - Anonymization and bias-reduction strategies appropriate to the context - Disagreement resolution protocol: what happens when peer scores diverge significantly - Feedback quality rubric: how to assess the quality of the feedback itself, not just the work being assessed
Built for: K–12 teachers, university instructors, corporate L&D facilitators, and anyone running peer review processes who needs feedback that actually improves learning.