Exploring potential of large language models for automated essay scoring in education
Abstract The assessment of open-ended written work is of vital importance to the student learning experience. Conventional essay grading methods heavily depend on expert manual assessment, making them susceptible to errors due to fatigue, bias, and subjectivity. To address this, recent research has...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer
2026-02-01
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| Schriftenreihe: | Discover Artificial Intelligence |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1007/s44163-026-01002-y |
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