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Therapeutic Communication01:30

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Communication is a lifelong learning process. Through therapeutic communication, nurses can collect relevant assessment data, provide education and counseling, and interact during nursing interventions. Sending and receiving messages occur through verbal and nonverbal communication techniques and can happen separately or simultaneously.
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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
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Beyond Borders, Beneath Words: Using Natural Language Processing to Map Student Reflections on International Service

Alexandra L Borstad1,2,3,4,5, Susan A Appling1,2,3,4,5, Anne D Kloos1,2,3,4,5

  • 1Alexandra L. BorstadE is a clinical professor in the Department of Physical Therapy at Oregon State University - Cascades, 1500 SW Chandler Ave, Bend, OR 97702 ( alexandra.borstad@osucascades.edu ). Please address all correspondence to Alexandra L. Borstad.

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Summary
This summary is machine-generated.

Artificial intelligence (AI) and natural language processing (NLP) analyzed student reflections from international service learning. AI revealed that the experience fostered core physical therapy values, particularly excellence.

Keywords:
Artificial intelligenceCourse outcomesPhysical therapy valuesReflection analyticsTechnology in education

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Area of Science:

  • Physical Therapy Education
  • Artificial Intelligence in Education
  • Medical Informatics

Background:

  • Artificial intelligence (AI) presents opportunities for enhancing physical therapy education.
  • International service learning (ISL) courses offer unique educational experiences for students.
  • Assessing student reflections is crucial for understanding professional development.

Purpose of the Study:

  • To apply AI, specifically natural language processing (NLP), to analyze student reflections from an ISL course.
  • To identify key themes within student reflections.
  • To quantify the extent to which physical therapy professional values were reflected in student work.

Main Methods:

  • Natural language processing (NLP) techniques were employed to analyze 802 reflection statements from 21 Doctor of Physical Therapy students.
  • K-means clustering was used to group reflections by theme.
  • Cosine similarity was utilized to measure the semantic similarity between reflections and seven core physical therapy professional values.

Main Results:

  • Three primary themes emerged: educating patients/caregivers, generating new treatment ideas, and cultural immersion.
  • Reflections showed high similarity to the values of excellence (cos θ = 0.59), integrity (cos θ = 0.61), and compassion and caring (cos θ = 0.51).
  • The theme of cultural immersion was most strongly associated with five of the seven professional values.

Conclusions:

  • NLP provides a robust method for analyzing student reflections and understanding value development.
  • The ISL experience effectively promoted the implicit development of core physical therapy values, especially excellence.
  • AI-driven reflection analytics offer powerful, unbiased insights for educators and researchers, transforming the field.