Summary of Beyond Human Subjectivity and Error: a Novel Ai Grading System, by Alexandra Gobrecht et al.
Beyond human subjectivity and error: a novel AI grading system
by Alexandra Gobrecht, Felix Tuma, Moritz Möller, Thomas Zöller, Mark Zakhvatkin, Alexandra Wuttig, Holger Sommerfeldt, Sven Schütt
First submitted to arxiv on: 7 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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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 The paper introduces a novel automatic short answer grading (ASAG) system based on a fine-tuned open-source transformer model trained on a large set of exam data from university courses across various disciplines. The system aims to automate the high-effort, high-impact task of grading open-ended questions in education, promising reduced workload for educators and more consistent outcomes for students. The authors evaluated their model’s performance against held-out test data and found high accuracy levels across a broad range of unseen questions. They also compared their model with certified human domain experts, showing that the model deviated less from official historic grades than humans did. These results suggest that AI-enhanced grading can reduce subjectivity, improve consistency, and increase fairness. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper is about creating a machine that can grade answers to open-ended questions in school tests. This would be very helpful for teachers because it takes a lot of time and effort to grade these kinds of questions. The researchers used a special kind of AI model called a transformer to create their grading system. They tested the system on some old test answers and found that it was more consistent than human graders. This means that the machine would give similar grades to good students, even if different teachers were grading them. Overall, this could make school tests more fair and easier for teachers. |
Keywords
» Artificial intelligence » Transformer
