Crypto Ticker:
technology from Arxiv cs.ai

Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models

Hartwig Grabowski
Thursday at 04:00
5 Views
0 Comments

arXiv:2606.11477v1 Announce Type: cross Abstract: Correcting handwritten exams by hand is time-consuming and error-prone, particularly for large cohorts, while fully digital exams tend to force a didactic narrowing towards closed question formats. A practical middle ground keeps paper-based, problem-oriented tasks but records the...

Read the full article at the source.

Was this helpful?
Share:

Comments (0)

Please login to post a comment

No comments yet. Be the first to comment!