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.
%0 Journal Article
%1 Hanlon2020
%A Hanlon, Caitlin D.
%A Frosch, Emily M.
%A Shochet, Robert B.
%A Buckingham Shum, Simon J.
%A Gibson, Andrew
%A Goldberg, Harry R.
%D 2020
%J Medical Science Educator
%K assessment evaluation learninganalytics medicaleducation reflection writinganalytics
%R 10.1007/s40670-020-01132-7
%T Recognizing Reflection: Computer-Assisted Analysis of First Year Medical Students' Reflective Writing
%U https://doi.org/10.1007/s40670-020-01132-7
%X 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.
@article{Hanlon2020,
abstract = {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.},
added-at = {2020-11-08T13:19:23.000+0100},
author = {Hanlon, Caitlin D. and Frosch, Emily M. and Shochet, Robert B. and Buckingham Shum, Simon J. and Gibson, Andrew and Goldberg, Harry R.},
biburl = {https://www.bibsonomy.org/bibtex/2956a1bae2e1d37800724fbdd9e226dcc/ereidt},
day = 27,
doi = {10.1007/s40670-020-01132-7},
interhash = {1239ff2f97f0bb94d3b6d8efdb434830},
intrahash = {956a1bae2e1d37800724fbdd9e226dcc},
issn = {2156-8650},
journal = {Medical Science Educator},
keywords = {assessment evaluation learninganalytics medicaleducation reflection writinganalytics},
month = oct,
timestamp = {2020-11-08T13:19:23.000+0100},
title = {Recognizing Reflection: Computer-Assisted Analysis of First Year Medical Students' Reflective Writing},
url = {https://doi.org/10.1007/s40670-020-01132-7},
year = 2020
}