Nursing StudentsChatgpt UseNCT07908511
The Effect Of Chatgpt Use By Final Year Nursing Students in The Nursing Processes On Their Understanding Of Nursing Diagnoses And Critical Thinking Skills
A study testing chatgpt training in people with Nursing Students, run by Gazi University at 1 site in Turkey (Türkiye).
Trial summary
Artificial intelligence is a rapidly developing technology in today's digital age and has had transformative effects in many areas, from education to healthcare. The use of AI in education offers personalized learning experiences and interactive learning environments by introducing new approaches to learning processes… Read more about this study
- Who is it for?
- Any age
- Conditions the study is for
- Nursing Students
- What is being tested?
- chatgpt training
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 49 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 6 Nov 2026to 26 Jan 2027
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Who may be able to join
- Being a final-year nursing student
- Being a volunteer
- Not having prior training in artificial intelligence.
Who cannot join
- Not being a volunteer
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Turkey (Türkiye)1 site
Gazi University Nursing Faculty
Ankara, çankaya/Ankara, 6490
About this study
Official title: The Effect Of ChatGPT Use In The Nursing Process On Nursing Diagnosis Perception And Critical Thinking Skills Among Final-Year Nursing Students
Artificial intelligence is a rapidly developing technology in today's digital age and has had transformative effects in many areas, from education to healthcare. The use of AI in education offers personalized learning experiences and interactive learning environments by introducing new approaches to learning processes . This environment aims to take advantage of the opportunities offered by AI in nursing education to improve students' professional knowledge and skills and prepare them for future healthcare environments. Nursing processes, a fundamental component of nursing education, help nurses develop clinical decision-making, problem-solving, and critical thinking skills by enabling a systematic and holistic approach to patient care . However, traditional teaching methods may sometimes be insufficient to effectively support students in learning and applying these complex processes . The integration of artificial intelligence into nursing processes can help students acquire these essential skills more effectively and efficiently. Advanced language processing models such as ChatGPT provide nursing students with an interactive learning environment to analyze complex clinical scenarios, identify appropriate nursing diagnoses, and create personalized care plans . Previous studies investigating the integration of chatbot-based or AI-powered tools in nursing education have predominantly used non-experimental, descriptive, or quasi-experimental designs . These studies have generally reported improvements in students' critical thinking, learning motivation, and attitudes toward technology; however, they have tended to focus on a single outcome. Considering these shortcomings, the present study aimed to evaluate the effect of ChatGPT training in the nursing process on the perception of nursing diagnoses and critical thinking of final year nursing students using ChatGPT in the nursing process, within the framework of a randomized controlled trial.
Read the detailed description
It has been awarded funding by the TÜBİTAK 2209-A University Students Support Project.
- Conditions
- Nursing Students
- Being tested
- chatgpt training
- Keywords
- Artificial Intelligence,Students, Nursing,Nursing Process,Critical Thinking
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
chatgpt trainingOther
This study is about how artificial intelligence can be used effectively in the nursing process.
| Study group | Role | What they receive |
|---|---|---|
| intervention group | Experimental | Training Program Session Title Learning Objective Training Method Duration 1. Session: Artificial Intelligence and Use in the Nursing Process -Being able to define artificial intelligence -Providing information on the use of productive artificial intelligence in the nursing process
-Ensuring the conscious use of artificial intelligence in the clinic, research and education Lecture Question-Answer 60 minutes 2. Session: AI-Assisted Nursing Diagnoses and Clinical Assessment -Being able to systematically assess patients -Adapting the PES format to the patient -Being able to create a NANDA diagnosis Lecture Question-Answer AI-assisted case analysis Application with a small group (10-15 people) 90 minutes 3. Session: NOC-NIC Based Care Plan Development -Being able to identify NOC-NIC interventions and outcomes -Creating an evidence-based individualized care plan -Being able to create at least three nursing diagnoses within the scope of case application -Planning at least one NOC and three Receives: Other: chatgpt training |
| CONTROL | No intervention | Control Group: Since the students in the experimental and control groups will consist of students who have not previously received artificial intelligence training, no detailed explanation will be given about the training given to the control group. A written commitment will be obtained from the control group that they will not use artificial intelligence-based tools. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Nursing Diagnoses Perception Scale score
The scale consists of statements reflecting nurses' perceptions regarding the use, usefulness, purposes, results, goals, and limitations of nursing diagnoses. The 26-item scale includes four sub-areas evaluating perceptions of the ease of use of nursing diagnoses and their benefits to the profession and the care process. The scale is a five-point Likert-type (strongly agree/strongly disagree). The scale score is calculated as follows: strongly agree = 5, strongly disagree = 1, and then divided by the number of items. The total score ranges from 1 to 5. A lower total score on the scale indicates that nurses perceive nursing diagnoses positively.
Measured: four weeks
Secondary outcomes (1)
California Critical Thinking Disposition Scale score
The scale consists of seven sub-dimensions, and the total score of the scale indicates the tendency towards critical thinking. The scale consists of 51 items and sub-scales of truth-seeking, open-mindedness, analytical thinking, systematic thinking, self-confidence, curiosity, and maturity. The Cronbach's alpha coefficient of the scale was found to be 0.88. Total scores range from 60 to 360, with higher scores indicating a greater tendency toward critical thinking.
Measured: four weeks
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted2 Nov 2026
- Study start6 Nov 2026 (estimated)
- Primary completion6 Dec 2026 (estimated)
- Study completion26 Jan 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Nursing StudentsStudies of the same condition, open and under way.
- More trials run by Gazi UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind
- Who is masked
- Participant, Outcomes assessor
- Enrolment
- 49 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Gazi University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Fatma Betül Öz, Gazi University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07908511
- Sponsor's protocol ID
- FBOZ-Nursing
- Other IDs
- Tubitak
- Acronym
- Chatgpt Use
- Status last verified
- Oct 2026
- First submitted
- 5 Oct 2026
- Last updated
- 2 Nov 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 2 Nov 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Effect Of ChatGPT Use In The Nursing Process On Nursing Diagnosis Perception And Critical Thinking Skills Among Final-Year Nursing Students
- ClinicalTrials.gov ID
- NCT07908511
- Acronym / sponsor ID
- Chatgpt Use / FBOZ-Nursing
- Conditions
- Nursing Students
- Keywords
- Artificial Intelligence,Students, Nursing,Nursing Process,Critical Thinking
- Study type
- Interventional
- Recruitment status
- Enrolling by invitation
- Enrolment
- 49 participants (estimated)
- Lead sponsor
- Gazi UniversityUniversity, hospital or other
- Study start
- 6 Nov 2026 (estimated)
- Primary completion
- 6 Dec 2026 (estimated)
- Study completion
- 26 Jan 2027 (estimated)
- First posted
- 2 Nov 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Artificial intelligence is a rapidly developing technology in today's digital age and has had transformative effects in many areas, from education to healthcare. The use of AI in education offers personalized learning experiences and interactive learning environments by introducing new approaches to learning processes . This environment aims to take advantage of the opportunities offered by AI in nursing education to improve students' professional knowledge and skills and prepare them for future healthcare environments. Nursing processes, a fundamental component of nursing education, help nurses develop clinical decision-making, problem-solving, and critical thinking skills by enabling a systematic and holistic approach to patient care . However, traditional teaching methods may sometimes be insufficient to effectively support students in learning and applying these complex processes . The integration of artificial intelligence into nursing processes can help students acquire these essential skills more effectively and efficiently. Advanced language processing models such as ChatGPT provide nursing students with an interactive learning environment to analyze complex clinical scenarios, identify appropriate nursing diagnoses, and create personalized care plans . Previous studies investigating the integration of chatbot-based or AI-powered tools in nursing education have predominantly used non-experimental, descriptive, or quasi-experimental designs . These studies have generally reported improvements in students' critical thinking, learning motivation, and attitudes toward technology; however, they have tended to focus on a single outcome. Considering these shortcomings, the present study aimed to evaluate the effect of ChatGPT training in the nursing process on the perception of nursing diagnoses and critical thinking of final year nursing students using ChatGPT in the nursing process, within the framework of a randomized controlled trial.
Detailed description
It has been awarded funding by the TÜBİTAK 2209-A University Students Support Project.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind (participant, outcomes assessor)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| intervention group | Experimental | Other: chatgpt trainingTraining Program Session Title Learning Objective Training Method Duration 1. Session: Artificial Intelligence and Use in the Nursing Process -Being able to define artificial intelligence -Providing information on the use of productive artificial intelligence in the nursing process -Ensuring the conscious use of artificial intelligence in the clinic, research and education Lecture Question-Answer 60 minutes 2. Session: AI-Assisted Nursing Diagnoses and Clinical Assessment -Being able to systematically assess patients -Adapting the PES format to the patient -Being able to create a NANDA diagnosis Lecture Question-Answer AI-assisted case analysis Application with a small group (10-15 people) 90 minutes 3. Session: NOC-NIC Based Care Plan Development -Being able to identify NOC-NIC interventions and outcomes -Creating an evidence-based individualized care plan -Being able to create at least three nursing diagnoses within the scope of case application -Planning at least one NOC and three |
| CONTROL | No intervention | –Control Group: Since the students in the experimental and control groups will consist of students who have not previously received artificial intelligence training, no detailed explanation will be given about the training given to the control group. A written commitment will be obtained from the control group that they will not use artificial intelligence-based tools. |
Who may qualify
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (3 listed)
- Being a final-year nursing student
- Being a volunteer
- Not having prior training in artificial intelligence.
Key exclusion criteria (1 listed)
- Not being a volunteer
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| chatgpt trainingThis study is about how artificial intelligence can be used effectively in the nursing process. | Other | intervention group |
Primary outcome
Nursing Diagnoses Perception Scale score
Time frame: four weeks
The scale consists of statements reflecting nurses' perceptions regarding the use, usefulness, purposes, results, goals, and limitations of nursing diagnoses. The 26-item scale includes four sub-areas evaluating perceptions of the ease of use of nursing diagnoses and their benefits to the profession and the care process. The scale is a five-point Likert-type (strongly agree/strongly disagree). The scale score is calculated as follows: strongly agree = 5, strongly disagree = 1, and then divided by the number of items. The total score ranges from 1 to 5. A lower total score on the scale indicates that nurses perceive nursing diagnoses positively.
1 secondary outcome
California Critical Thinking Disposition Scale score
Time frame: four weeks
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 2 Nov 2026.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing chatgpt training in people with Nursing Students, run by Gazi University at 1 site in Turkey (Türkiye).
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: enrolling by invitation, as of the sponsor's last update on 2 Nov 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Turkey (Türkiye). Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Nursing Diagnoses Perception Scale score (time frame: four weeks). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 2 Nov 2026.