Physiotherapists and Artificial Intelligence

NCT06941402 | Completed

• 1 other identifier: 607-607-05
• Study Type: observational
• Target: 552
• Locations: 1 country
• Sites: 4

Brief 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. 1.What are the digital competence levels of physiotherapy students?
2. 2.What are the attitude levels of physiotherapy students towards artificial intelligence?
3. 3.What are the acceptance levels of physiotherapy students towards artificial intelligence technologies?
4. 4.Is there a significant relationship between the level of digital competence and the attitude towards artificial intelligence?
5. 5.Is there a significant relationship between the level of digital competence and the acceptance of artificial intelligence technologies?
6. 6.Is there a significant relationship between the attitude towards artificial intelligence and the acceptance level of artificial intelligence technologies?
7. 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.

Conditions

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

Keywords

physiotherapist; artificial intelligence; digital age

Outcome Measures

Primary Outcomes (1)

• Digital Competencies Scale for University Students

  It is a valid and reliable scale that measures the digital competences of university students, developed based on the European Digital Competence Framework (DigComp). The original version of the Basic Digital Competences of University Students 2.0 - COBADI scale, developed by López-Meneses et al. (2013), has 4 factors and 31 items. The 4 factors in the COBADI scale are determined as "Competences related to the use of ICT in social communication and collaborative learning", "Competences related to the use of ICT in research", "Interpersonal competences in the use of ICT in the university context" and "University virtual tools and social communication". There are 12 items in the first factor, 11 items in the second factor, and 4 items each in the third and fourth factors. A 4-point Likert type was used in the rating of the scale. Within the scope of the ratings, 1 indicates the least level of competence, while 4 indicates the highest level of competence. The 4-point Likert-type scale co

  1 week

Secondary Outcomes (2)

• University Students' Attitude Scale Towards Artificial Intelligence

  1 week

• Generative Artificial Intelligence Acceptance Scale

  1 week

Study Arms (1)

physiotherapy students

The acceptance attitude of physiotherapy students towards artificial intelligence and their digital competencies will be conducted in the form of a survey.The characteristics of the study group are that they consist of students studying in a physiotherapy and rehabilitation undergraduate program in Türkiye, that they agree to participate in the study voluntarily and approve the online informed consent form, that they are 18 years of age or older, that they fill out the survey form completely, and that they actively use at least one digital device (smartphone, computer, tablet, etc.).

Eligibility Criteria

• Age: 18 Years - 45 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)
• Sampling Method: Probability Sample

Study Population

The universe of the study is undergraduate students studying in the Department of Physiotherapy and Rehabilitation at Okan University, Faculty of Health Sciences, Alanya, İnönü, Pamukkale.

You may qualify if:

• Consisting of students studying in a physiotherapy and rehabilitation undergraduate program in Türkiye,
• Agreeing to participate in the research voluntarily and approving the online informed consent form,
• Being 18 years of age or older,
• Completely filling out the survey form,
• Actively using at least one digital device (smartphone, computer, tablet, etc.)

You may not qualify if:

• Studying in any department other than the physiotherapy department,
• Filling out the survey without approving the informed consent form,
• Filling out the survey form incompletely or incorrectly,
• Being under the age of 18

Sponsors & Collaborators

• Uşak University: lead

Study Sites (4)

Alanya Alaaddin Keykubat University

Antalya, Antalya, Turkey (Türkiye)

Location

Pamukkale University

Denizli, Denizli, Turkey (Türkiye)

Location

Okan University

Istanbul, Istanbul, Turkey (Türkiye)

Location

İnönü University

Malatya, Malatya, Turkey (Türkiye)

Location

Study Officials

• Kevser G Gursan, Dr.

  Uşak University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant Professor

Study Record Dates

• First Submitted: April 15, 2025
• First Posted: April 23, 2025
• Study Start: April 11, 2025
• Primary Completion: June 1, 2025
• Study Completion: June 1, 2025
• Last Updated: June 6, 2025

Record last verified: 2025-06

Data Sharing

• IPD Sharing: Will not share

Locations

TU (4)