EvoGrader: an online formative assessment tool for automatically evaluating written evolutionary explanations
Kayhan Moharreri, Minsu Ha, Ross H Nehm

TL;DR
EvoGrader is a free online tool that automatically evaluates written evolutionary explanations, providing quick, detailed feedback and class summaries, significantly reducing grading time compared to human raters.
Contribution
This paper introduces EvoGrader, an innovative machine-learning based platform for automatic assessment of student explanations in evolution, demonstrating comparable accuracy to human scoring with much higher efficiency.
Findings
EvoGrader scores align closely with trained human raters.
The system reduces scoring time by 99%.
EvoGrader effectively analyzes large volumes of student responses.
Abstract
EvoGrader is a free, online, on-demand formative assessment service designed for use in undergraduate biology classrooms. EvoGrader's web portal is powered by Amazon's Elastic Cloud and run with LightSIDE Lab's open-source machine-learning tools. The EvoGrader web portal allows biology instructors to upload a response file (.csv) containing unlimited numbers of evolutionary explanations written in response to 86 different ACORNS (Assessing COntextual Reasoning about Natural Selection) instrument items. The system automatically analyzes the responses and provides detailed information about the scientific and naive concepts contained within each student's response, as well as overall student (and sample) reasoning model types. Graphs and visual models provided by EvoGrader summarize class-level responses; downloadable files of raw scores (in .csv format) are also provided for more…
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