Physiotherapists and Artificial Intelligence

Summary

This study is a cross-sectional study designed within the scope of the descriptive and relational screening model of quantitative research methods. The research aims to evaluate the digital competence levels, attitudes towards artificial intelligence and artificial intelligence acceptance levels of undergraduate students of the physiotherapy department and to reveal the relationships between these variables.

Research Questions

1. What are the digital competence levels of physiotherapy students?
2. What are the attitude levels of physiotherapy students towards artificial intelligence?
3. What are the acceptance levels of physiotherapy students towards artificial intelligence technologies?
4. Is there a significant relationship between the level of digital competence and the attitude towards artificial intelligence?
5. Is there a significant relationship between the level of digital competence and the acceptance of artificial intelligence technologies?
6. Is there a significant relationship between the attitude towards artificial intelligence and the acceptance level of artificial intelligence technologies?
7. Is there a significant difference between the participants' digital competence, attitudes towards artificial intelligence and acceptance levels according to variables such as gender, grade level and duration of digital tool use? The universe of the research will consist of undergraduate students studying in the Department of Physiotherapy and Rehabilitation at the Faculty of Health Sciences of Alanya, İnönü, Pamukkale, Okan University. The sample of the research is planned to be approximately 600 students who are randomly selected from four different universities to represent different geographical regions and are determined on a voluntary basis.

The research is planned to consist of students studying in the undergraduate program of physiotherapy and rehabilitation in Türkiye. While collecting the data, the Introductory Information Form, Digital Competencies Scale for University Students, Scale of Attitude of University Students Towards Artificial Intelligence, and Productive Artificial Intelligence Acceptance Scale will be used.

The collected data will be analyzed using the SPSS (Statistical Package for Social Sciences) program. The Kolmogorov-Smirnov and Shapiro-Wilk tests will be used to evaluate whether the data are normally distributed. In variables that are normally distributed: Mean, standard deviation, independent sample t-test, ANOVA and Pearson correlation test will be used. In non-normal distribution: Median, minimum-maximum, Mann-Whitney U test, Kruskal Wallis test, Spearman correlation tests will be applied. In addition, regression analysis will be performed to evaluate the relationships between students' sociodemographic information, digital competence, artificial intelligence attitude and artificial intelligence acceptance levels. P \< 0.05 will be accepted as the significance level.

Conditions

• Artificial Intelligence (AI)
• Physiotherapist Students
• Digital Competences
• Acceptance of Artificial Intelligence
• Artificial Intelligence Attitude

Sponsors & Collaborators

• Uşak University

  lead OTHER

Principal Investigators

• Kevser G Gursan, Dr. · Uşak University

Eligibility

Min Age

18 Years

Max Age

45 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2025-04-11

Primary Completion

2025-06-01

Completion

2025-06-01

Countries

• Turkey (Türkiye)

Study Locations