Exploring progressive mental model representation of core physiology concepts in physician assistant students through word frequency and association analyses.
core concepts
physician assistant
physiology
systems modeling
text mining
Journal
Advances in physiology education
ISSN: 1522-1229
Titre abrégé: Adv Physiol Educ
Pays: United States
ID NLM: 100913944
Informations de publication
Date de publication:
01 Dec 2023
01 Dec 2023
Historique:
medline:
15
9
2023
pubmed:
3
8
2023
entrez:
3
8
2023
Statut:
ppublish
Résumé
A well-developed mental model is crucial for effectively studying physiology core concepts. However, mental models can be difficult for students to represent and for instructors to evaluate and correct. Systems modeling as a visualization cognitive tool may facilitate mental model development. On the other hand, evidence of mental model development may also be represented verbally, in writing, and therefore, be evaluated. In this study, analysis of writing prompt completions illustrated progress in physician assistant student mental model formation of physiology core concepts, such as homeostasis and cell-cell communication, over time. Two cohorts of physician assistant students were invited to voluntarily submit completions of writing prompts five times over 16 months. Sessions included submissions pre- and post-small group systems modeling participation. Word frequency and word association cluster dendrogram analyses were conducted on submissions using the tm text mining package in R to provide insight into progressive changes in core concepts of word use and associations. Students demonstrated expanded core concepts systems thinking over time. This was apparent through the increased use of systems process terms, such as homeostasis, in submissions immediately following systems modeling activities. Students also increasingly included terms and associations emphasizing cell-cell communication and systems integration. The inclusion of these concepts within student mental models was demonstrably enhanced by participation in systems modeling activities.
Identifiants
pubmed: 37534388
doi: 10.1152/advan.00124.2022
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM