An evaluation of rehabilitation students' learning goals in their first year: a text mining approach.

cluster analysis professional education rehabilitation students text mining

Journal

Frontiers in medicine
ISSN: 2296-858X
Titre abrégé: Front Med (Lausanne)
Pays: Switzerland
ID NLM: 101648047

Informations de publication

Date de publication:
2024
Historique:
received: 14 06 2023
accepted: 27 02 2024
medline: 28 3 2024
pubmed: 28 3 2024
entrez: 28 3 2024
Statut: epublish

Résumé

Qualitative information in the form of written reflection reports is vital for evaluating students' progress in education. As a pilot study, we used text mining, which analyzes qualitative information with quantitative features, to investigate how rehabilitation students' goals change during their first year at university. We recruited 109 first-year students (66 physical therapy and 43 occupational therapy students) enrolled in a university rehabilitation course. These students completed an open-ended questionnaire about their learning goals at the time of admission and at 6 and 12 months after admission to the university. Text mining was used to objectively interpret the descriptive text data from all three-time points to extract frequently occurring nouns at once. Then, hierarchical cluster analysis was performed to generate clusters. The number of students who mentioned at least one noun in each cluster was counted and the percentages of students in each cluster were compared for the three periods using Cochran's Q test. The 31 nouns that appeared 10 or more times in the 427 sentences were classified into three clusters: "Socializing," "Practical Training," and "Classroom Learning." The percentage of students in all three clusters showed significant differences across the time periods ( These findings suggest that the students' learning goals changed during their first year of education. This objective analytical method will enable researchers to examine transitional trends in students' reflections and capture their psychological changes, making it a useful tool in educational research.

Identifiants

pubmed: 38545511
doi: 10.3389/fmed.2024.1239916
pmc: PMC10965620
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1239916

Informations de copyright

Copyright © 2024 Kitamura, Takeda, Uehara, Yoshida, Ota, Tanabe, Takeda, Koyama, Sakurai and Kanada.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Shin Kitamura (S)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Aichi, Japan.

Kotaro Takeda (K)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Aichi, Japan.

Shintaro Uehara (S)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Aichi, Japan.

Taiki Yoshida (T)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Aichi, Japan.

Hirofumi Ota (H)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Aichi, Japan.

Shigeo Tanabe (S)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Aichi, Japan.

Kazuya Takeda (K)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Aichi, Japan.

Soichiro Koyama (S)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Aichi, Japan.

Hiroaki Sakurai (H)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Aichi, Japan.

Yoshikiyo Kanada (Y)

Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Aichi, Japan.

Classifications MeSH