An interventional study of chatgpt training in Nursing Students, sponsored by Gazi University. Enrolling by invitation at 1 site in Turkey (Türkiye). Per ClinicalTrials.gov, last updated 2026-11-02.
Sponsored by Gazi University · Not applicable, Interventional, and Other
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.
It has been awarded funding by the TÜBİTAK 2209-A University Students Support Project.
Gazi University is the lead sponsor of 551 studies on the registry; 102 are open to participants now.
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Exclusion Criteria:
- Not being a volunteer
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
Other: chatgpt training
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.
This study is about how artificial intelligence can be used effectively in the nursing process.
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.
Time frame: four weeks
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.
Time frame: four weeks
PDFs hosted by the registry, ClinicalTrials.gov.
Plan to share: No
From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗
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