Summary of Can Ai Assistance Aid in the Grading Of Handwritten Answer Sheets?, by Pritam Sil et al.
Can AI Assistance Aid in the Grading of Handwritten Answer Sheets?
by Pritam Sil, Parag Chaudhuri, Bhaskaran Raman
First submitted to arxiv on: 23 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computer Vision and Pattern Recognition (cs.CV)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A machine learning-based approach is introduced to assist in grading handwritten answer sheets, aiming to reduce grading effort and time. The proposed pipeline uses text detection to identify question regions and highlight important keywords in scanned answer sheets. A prototype implementation is deployed on an existing e-learning management platform, evaluated with 5 real-life examinations across 4 courses, involving 42 questions, 17 graders, and 468 submissions. The evaluation shows that AI assistance reduces grading time by 31% for single responses and 33% for entire answer sheets. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI is being used to help grade handwritten answer sheets. A special pipeline uses computers to find important parts of the answers and highlight them. This makes it easier for teachers to grade papers. The team tested this system with real exams from different classes, involving many questions, students, and teachers. They found that using AI helped teachers finish grading faster, taking 31% less time on average. |
Keywords
» Artificial intelligence » Machine learning
