Finding the Needle in the Haystack: Can Natural Language Processing of Students’ Evaluations of Teachers Identify Teaching Concerns?
NLP methods can identify teaching quality concerns with good accuracy and reasonable recall, but relatively low precision. An existing, free, NLP sentiment analysis dictionary can perform nearly as well as dictionaries requiring expert coding or manual creation.
Authors
- William J. Pluta (ORCID: https://orcid.org/0000-0002-6771-3801)
- Janae K. Heath (ORCID: https://orcid.org/0000-0002-0533-3088)
- Judy A. Shea (ORCID: https://orcid.org/0000-0002-7334-4192)
- Caitlin B. Clancy (ORCID: https://orcid.org/0000-0001-6354-3158)
- C. Jessica Dine (ORCID: https://orcid.org/0000-0001-5894-0861)
- Jennifer R. Kogan (ORCID: https://orcid.org/0000-0001-8426-9506)
Institutions
- University of Pennsylvania (US)
Publication Details
- Journal
- Journal of General Internal Medicine
- Published
- 2024-08-21
- DOI
- https://doi.org/10.1007/s11606-024-08990-6
- Citations
- 1
- Primary Topic
- Evaluation of Teaching Practices
- Type
- article
- Field-Weighted Citation Impact
- 2.10
Funders
- University of Pennsylvania
- Perelman School of Medicine, University of Pennsylvania