CClinicalTrials.gg
CompletedNCT07096518Updated Aug 7, 2025

Effect of ChatGPT-Supported Education on Nursing Students' Aspiration Practice Knowledge and Motivation

An interventional study of ChatGPT-Integrated Lecture in Endotracheal Aspiration, Nursing Education and Artificial Intelegence, sponsored by Izmir University of Economics. Completed at 1 site in Turkey (Türkiye). Open to participants aged 20 Years to 70 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-08-07.

Sponsored by Izmir University of Economics · Not applicable, Interventional, and Other

From the registry’s dates

  • Registered 4 months after the study started (first participant enrolled Mar 2025, registered Jul 2025).
Phase
Not applicable
Study type
Interventional
Enrollment
32
Allocation
Randomized
Ages
20 Years to 70 Years
Sex
All
01

Study 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.

Read the detailed description

This study was designed to investigate the effects of ChatGPT-integrated education on nursing students' knowledge, motivation, and knowledge retention related to endotracheal suctioning practice. Additionally, the study aimed to compare this innovative approach with traditional teaching methods and to explore students' feelings and perceptions regarding both learning experiences.

Endotracheal suctioning is a critical nursing procedure, especially in intensive care settings, to maintain airway patency and ensure adequate oxygenation. However, existing literature indicates that nursing students often find this procedure challenging and anxiety-inducing, with generally low levels of knowledge.

AI tools like ChatGPT have been reported to enhance individualized learning, critical thinking, and problem-solving skills. Therefore, integrating ChatGPT into nursing education was considered to have the potential to improve theoretical knowledge acquisition and increase students' motivation toward the lecture.

The study was conducted with third- and fourth-year nursing students enrolled in the undergraduate program at Izmir University of Economics, using a randomized controlled, quasi-experimental design. Knowledge, motivation levels, and knowledge retention were compared between control and intervention groups to evaluate the effect of ChatGPT-integrated education. Additionally, students' feedback regarding the educational experience was collected and analyzed.

Data collection instruments included the Student Information Form, the Suctioning Knowledge Questionnaire, the ARCS (Attention, Relevance, Confidence, and Satisfaction) Motivation Learning Scale, and the Student Feedback Form.

Lectures were planned separately for the control and intervention groups. The control group received traditional instruction methods such as presentations, video demonstrations, and discussions. In contrast, the intervention group accessed information and performed critical evaluations using ChatGPT. In a classroom setting, students discussed the information obtained via ChatGPT by comparing it with the latest published clinical guidelines on suctioning practice. Knowledge tests were administered before and after the lectures in both groups, and a follow-up knowledge test was conducted six weeks later to assess knowledge retention.

Data analysis was performed using SPSS version 21. Frequency analysis was conducted for categorical data, descriptive statistics for numerical data, and parametric or non-parametric tests were applied for group comparisons. The level of significance was set at 0.05. The findings aimed to evaluate the effectiveness of the educational programs and demonstrate the impact of innovative teaching approaches.

Ethical approval was obtained from the Ethics Committee for Health Sciences Research at Izmir University of Economics and the Dean's Office of the Faculty of Health Sciences. Participants were informed about the study, data confidentiality, and their right to withdraw at any time. All participants provided written informed consent. Necessary permissions were obtained for the use of validated measurement tools, and all course materials were shared with participants via the Blackboard platform.

02

Conditions studied

  • Endotracheal Aspiration
  • Nursing Education
  • Artificial Intelegence
  • Knowledge
  • Motivation

Keywords

  • nursing education
  • knowledge
  • endotraceal suctioning
  • Knowledge Retention
  • artificial intelligent
  • motivation
  • ChatGPT
03

In context

Lead sponsor

Izmir University of Economics is the lead sponsor of 20 studies on the registry; 4 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
20 Years to 70 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • Undergraduate nursing students who are enrolled in the Surgical Units Nursing II course
  • Students who voluntarily agree to participate in the study

Exclusion criteria

Exclusion Criteria:

  • Students who do not attend the planned lecture session
  • Students who do not respond to the pre- or post-intervention surveys
05

Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
32 participants (actual)

Study arms

  • No intervention
    Traditional Lecture Group

    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.

  • Experimental
    ChatGPT-Integrated Lecture Group

    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

  • OtherChatGPT-Integrated Lecture

    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.

06

What researchers measure

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.

    Time frame: Baseline (Pre-intervention) and immediately after the final session

Secondary outcomes

  1. Change in Student Motivation Level

    Participants' motivation related to the instructional materials will be measured immediately after the educational intervention using a validated scale. This assessment will allow comparison of learners' motivation levels in relation to instructional materials between the ChatGPT-integrated lecture group and the traditional lecture group.

    Time frame: Immediately after the educational session

  2. Retention of Endotracheal Suctioning Knowledge at 6 Weeks

    Participants' knowledge retention regarding endotracheal suctioning will be assessed six weeks after the educational intervention using the same validated multiple-choice questionnaire. The scores will be compared between the ChatGPT-integrated lecture group and the traditional lecture group to evaluate the long-term effectiveness of the intervention.

    Time frame: 6 weeks after the educational session

Other outcomes

  1. Qualitative Feedback from Students on Educational Experience

    Open-ended feedback from participants collected immediately after the educational intervention. Responses will be analyzed thematically to explore students' perceptions, experiences, and suggestions regarding the ChatGPT-integrated lecture and traditional lecture methods.

    Time frame: Immediately after the educational session

07

Study locations

1 site
  • İzmir University of ;Economics
    Izmir, Balçova 35330, Turkey (Türkiye)
08

References and documents

Publications

  • 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. PubMed 38340639 ↗
  • 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. PubMed 39068726 ↗

Individual participant data

Plan to share: No — 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.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 7, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07096518
Lead sponsor
Izmir University of Economics
Collaborators
The Scientific and Technological Research Council of Turkey
Responsible party
Emine SEZGÜNSAY (Assistant Professor, Izmir University of Economics) — Principal investigator
First posted
Jul 31, 2025
Start date
Mar 4, 2025
Primary completion
Jun 10, 2025
Completion
Jul 21, 2025
Last update
Aug 7, 2025

Study contacts

Emine Sezgünsay, PhD
principal investigator · İzmir University of Economics, Department of Nursing

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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