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Dataset Information

Recognizing Reflection: Computer-Assisted Analysis of First Year Medical Students' Reflective Writing.


ABSTRACT:

Background

Reflective writing is used throughout medical education to help students navigate their transformation into medical professionals. Assessment of reflective writing, however, is challenging; each available methodology of assessment has distinct advantages and disadvantages. We tested if combining two independent assessment mechanisms-a faculty-designed rubric and Academic Writing Analytics (AWA), an automated technique-could be used together to form a more robust form of evaluation.

Methods

We obtained reflective essays written by first year medical students as part of a clinical skills course. Faculty scored essays using a rubric designed to evaluate Integration, Depth, and Writing. The same essays were subjected to AWA analysis, which counted the number of reflec

SUBMITTER: Hanlon CD 

PROVIDER: S-EPMC8368857 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature