NCT07096518

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

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
32

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Mar 2025

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

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

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 10, 2025

Completed
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

July 21, 2025

Completed
3 days until next milestone

First Submitted

Initial submission to the registry

July 24, 2025

Completed
7 days until next milestone

First Posted

Study publicly available on registry

July 31, 2025

Completed
Last Updated

August 7, 2025

Status Verified

August 1, 2025

Enrollment Period

3 months

First QC Date

July 24, 2025

Last Update Submit

August 4, 2025

Conditions

Keywords

nursing educationknowledgeendotraceal suctioningKnowledge Retentionartificial intelligentmotivationChatGPT

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 INTERVENTION

This 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

EXPERIMENTAL

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.

Other: ChatGPT-Integrated Lecture

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.

ChatGPT-Integrated Lecture Group

Eligibility Criteria

Age20 Years - 70 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

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)

Location

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: 38340639BACKGROUND
  • Gunawan 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

  • Emine Sezgünsay, PhD

    İzmir University of Economics, Department of Nursing

    PRINCIPAL INVESTIGATOR

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
Model Details: Participants were randomly assigned to either the intervention group, which received a ChatGPT-integrated lecture, or the control group, which received a traditional lecture. Both groups were assessed before and after the intervention. Students' motivation levels and feedback were collected immediately after the lectures, and knowledge retention was evaluated with a follow-up test conducted six weeks later. This parallel-assignment design allowed for a direct comparison between the two teaching methods.
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.

Locations