Beyond Borders, Beneath Words: Using Natural Language Processing to Map Student Reflections on International Service Learning to Physical Therapy Values
Natural language processing enabled a detailed understanding of the values woven throughout students' written reflections on ISL. The experience implicitly promoted the development of physical therapy core values, in particular excellence, affirming it as a high-impact educational practice for professional development. Natural language processing's automated, quantitative, and debiased outcomes advance reflection analytics, an example of one of the new and powerful approaches AI offers educators and researchers that will transform our field.
Authors
- Susan Appling (ORCID: https://orcid.org/0000-0002-5266-6432)
- David T. Marc (ORCID: https://orcid.org/0000-0002-6178-5345)
- Alexandra Borstad (ORCID: https://orcid.org/0000-0003-3645-7312)
- Lynda Spangler (ORCID: https://orcid.org/0000-0002-1760-2783)
- Anne Kloos (ORCID: https://orcid.org/0000-0002-9169-6589)
Institutions
- College of St. Scholastica (US)
- Alexandra Hospital (SG)
- Idaho State Board of Education (US)
- The Ohio State University (US)
Publication Details
- Journal
- Journal of Physical Therapy Education
- Published
- 2025-02-26
- DOI
- https://doi.org/10.1097/jte.0000000000000399
- Citations
- 1
- Primary Topic
- Service-Learning and Community Engagement
- Type
- article
- Field-Weighted Citation Impact
- 8.93