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Predicting Misalignment between Teachers' and Students' Essay Scores Using Natural Language Processing Tools
- Source :
-
Grantee Submission . 2015Paper presented at the International Conference on Artificial Intelligence in Education (17th, 2015). - Publication Year :
- 2015
-
Abstract
- We investigated linguistic factors that relate to misalignment between students' and teachers' ratings of essay quality. Students (n = 126) wrote essays and rated the quality of their work. Teachers then provided their own ratings of the essays. Results revealed that students who were less accurate in their self-assessments produced essays that were more causal, contained less meaningful words, and had less argument overlap between sentences.
Details
- Language :
- English
- Database :
- ERIC
- Journal :
- Grantee Submission
- Publication Type :
- Conference
- Accession number :
- ED586432
- Document Type :
- Speeches/Meeting Papers<br />Reports - Research