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β - Level of detail = description of context and performance | |
β - Suggestion for "improvement" given | |
β - "written" feedback | |
- Link | |
β - How specific was the evaluator in describing the behavior? => exact language of Q1 | |
β get rid of overall model just use component model | |
- get rid of true comments | |
β Medical education requires high-quality *written* feedback, but evaluating these *supervisor narrative comments* is time-consuming. The QuAL score has validity evidence for measuring the quality of short comments in this context. We developed a NLP/ML-powered tool to assess written comment quality via the QuAL score with high accuracy. Try it for yourself! | |
- include confidence bar | |
β change out to formal descriptions | |
# Paper | |
- zotero refs | |
- methods comments | |
- flowchart figure | |
- final word clouds | |
- add within-1 accuracy numbers | |