The EvalScribe Teacher Evaluation Blog — AI, Frameworks, & Observation Tips
How can AI help administrators write CEL 5D+ teacher evaluations?
by: Anthony D. Neely, Ph.D.Published on: 09/08/2026The CEL 5D+ Teacher Evaluation Rubric uses five dimensions and thirteen subdimensions, rated Unsatisfactory to Distinguished as the role of students grows across the levels. Where AI helps with the write-up, where it doesn't, and what to look for.
How can AI help Washington evaluators write TPEP teacher evaluations?
by: Anthony D. Neely, Ph.D.Published on: 07/08/2026Washington evaluates teachers through TPEP: eight State Criteria scored on one of three approved frameworks (Danielson 2022, CEL 5D+, Marzano), rated Unsatisfactory to Distinguished. Where AI helps with the write-up, where it doesn't.
How can AI help South Dakota evaluators write Framework for Teaching evaluations?
by: Anthony D. Neely, Ph.D.Published on: 06/08/2026South Dakota evaluates teachers on the SD Framework for Teaching, a Danielson-based model. Districts choose which components to score (one per domain), rated Unsatisfactory to Distinguished. Where AI helps with the write-up, where it doesn't.
How can AI help New Hampshire evaluators write teacher evaluations?
by: Anthony D. Neely, Ph.D.Published on: 02/08/2026New Hampshire is a local-control state: each district adopts its own teacher evaluation system under Ed 306 and RSA 189:1-a, and most build it around the Danielson Framework. Where AI helps with the professional-practice write-up, where it doesn't.
