Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits

arXiv:2404.14301v1 Announce Type: new
Abstract: In this paper, we introduce "Marking", a novel grading task that enhances automated grading systems by performing an in-depth analysis of student responses and providing students with visual highlights. Unlike traditional systems that provide binary scores, "marking" identifies and categorizes segments of the student response as correct, incorrect, or irrelevant and detects omissions from gold answers. We introduce a new dataset meticulously curated by Subject Matter Experts specifically for this task. We frame "Marking" as …

arxiv cs.cl errors highlighting type visual