Effect of ChatGPT-Supported Education on Nursing Students' Aspiration Practice Knowledge and Motivation
The Effect of an Education Supported by ChatGPT Integration on Nursing Students' Knowledge and Motivation Levels Regarding Aspiration Practice
1 other identifier
interventional
32
1 country
1
Brief Summary
This study was designed to examine the effects of a Chat Generative Pre-trained Transformer (ChatGPT)-integrated lecture on nursing students' knowledge, motivation, and knowledge retention related to endotracheal suctioning. The effects of this Artificial Intelligence (AI)-supported lecture were compared with those of a traditional lecture. ChatGPT, an AI-based language model, was used to provide interactive and personalized support during the learning process.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Mar 2025
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
March 4, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 10, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
July 21, 2025
CompletedFirst Submitted
Initial submission to the registry
July 24, 2025
CompletedFirst Posted
Study publicly available on registry
July 31, 2025
CompletedAugust 7, 2025
August 1, 2025
3 months
July 24, 2025
August 4, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in Endotracheal Aspiration Knowledge Score
Participants' knowledge regarding endotracheal suctioning will be assessed before and after the educational intervention using a validated multiple-choice questionnaire. The change in knowledge scores will be used to evaluate the effectiveness of the ChatGPT-integrated structured learning model compared to the traditional lecture approach.
Baseline (Pre-intervention) and immediately after the final session
Secondary Outcomes (2)
Change in Student Motivation Level
Immediately after the educational session
Retention of Endotracheal Suctioning Knowledge at 6 Weeks
6 weeks after the educational session
Other Outcomes (1)
Qualitative Feedback from Students on Educational Experience
Immediately after the educational session
Study Arms (2)
Traditional Lecture Group
NO INTERVENTIONThis group received a traditional lecture based on a passive learning model, where the student is a passive recipient and the instructor is the information provider. The lecture included PowerPoint presentations, question-and-answer sessions, and video demonstrations.
ChatGPT-Integrated Lecture Group
EXPERIMENTALThis group received a structured and interactive educational lecture integrated with ChatGPT, an AI language model, enabling students to learn collaboratively through guided activities related to endotracheal suctioning. Students compared the information obtained from ChatGPT with evidence-based, up-to-date clinical guidelines and discussed the comparison results together in the classroom. The instructor provided guidance throughout the process.
Interventions
This group received a structured and interactive educational lecture integrated with ChatGPT, an AI language model, enabling students to learn collaboratively through guided activities related to endotracheal suctioning. Students compared the information obtained from ChatGPT with evidence-based, up-to-date clinical guidelines and discussed the comparison results together in the classroom. The instructor provided guidance throughout the process.
Eligibility Criteria
You may qualify if:
- Undergraduate nursing students who are enrolled in the Surgical Units Nursing II course
- Students who voluntarily agree to participate in the study
You may not qualify if:
- Students who do not attend the planned lecture session
- Students who do not respond to the pre- or post-intervention surveys
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
İzmir University of ;Economics
Izmir, Balçova, 35330, Turkey (Türkiye)
Related Publications (2)
Shorey S, Mattar C, Pereira TL, Choolani M. A scoping review of ChatGPT's role in healthcare education and research. Nurse Educ Today. 2024 Apr;135:106121. doi: 10.1016/j.nedt.2024.106121. Epub 2024 Feb 6.
PMID: 38340639BACKGROUNDGunawan J, Aungsuroch Y, Montayre J. ChatGPT integration within nursing education and its implications for nursing students: A systematic review and text network analysis. Nurse Educ Today. 2024 Oct;141:106323. doi: 10.1016/j.nedt.2024.106323. Epub 2024 Jul 26.
PMID: 39068726BACKGROUND
Study Officials
- PRINCIPAL INVESTIGATOR
Emine Sezgünsay, PhD
İzmir University of Economics, Department of Nursing
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Masking Details
- Participants were not formally informed of their group assignment, but due to the nature of the intervention, masking was not possible.
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
July 24, 2025
First Posted
July 31, 2025
Study Start
March 4, 2025
Primary Completion
June 10, 2025
Study Completion
July 21, 2025
Last Updated
August 7, 2025
Record last verified: 2025-08
Data Sharing
- IPD Sharing
- Will not share
Individual participant data (IPD) will not be shared due to institutional data protection policies and the educational nature of the study. Participants were not informed or consented for public data sharing.