Nursing StudentsNCT07611383
Effect of AI-Supported Case Analysis on Nursing Students
A study testing AI-supported case in people with Nursing Students and Artificial Intelligence (AI), run by Nevsehir Haci Bektas Veli University at 1 site in Turkey (Türkiye).
Trial summary
The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills. Read more about this study
- Who is it for?
- Any ageHealthy volunteers can take part
- Conditions the study is for
- Nursing Students, Artificial Intelligence (AI), Clinical Decision-Making in Nursing
- What is being tested?
- AI-supported case
- Could I receive a placebo?
- Yes, some participants may receive a placebo
- How many people
- 42 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 18 May 2026to 19 May 2026
- Phase
- Interventional
- Are there results?
- None posted in the registry
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
- Healthy volunteers accepted
- Child, Adult, Older adult
Who may be able to join
- Students who will be active second-year nursing students during the spring semester of the 2025-2026 academic year,
- Who have previously taken the theoretical course on the nursing process,
- Who own a smartphone with an internet connection,
- Who have previously prepared a patient-specific care plan for an inpatient in at least one internal medicine clinic will be included in the sample.
Who cannot join
- Students who have not taken the elective course in oncology nursing,
- Students who have not planned care for inpatients in internal medicine clinics during their previous clinical rotations,
- Students who do not agree to participate in the study will not be included in the research
Trial locations and contacts
1 site in 1 country.
Turkey (Türkiye)1 site
Nevsehir Haci Bektas Veli University
Nevşehir, Nevşehir Province, 50300
About this study
Official title: The Effect of AI-Supported Case Analysis on Nursing Students' Knowledge, Learning Satisfaction Levels, and Clinical Decision-Making Skills
The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills. This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research component and an interview design for the qualitative research component. The students will be divided into two groups: an intervention group (artificial intelligence) and a control group (traditional instruction).
Read the detailed description
The use of artificial intelligence in education offers numerous benefits to both students and educators. The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills. This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research component and an interview design for the qualitative research component. The study population will consist of 42 second-year nursing students enrolled in the Oncology Nursing elective course at the Faculty of Health Sciences during the 2025-2026 academic year. The students will be divided into two groups: an intervention group (artificial intelligence) and a control group (traditional instruction). In the study, data will be collected using the Student Information Form, Knowledge Test, Learning Satisfaction Scale, Clinical Decision-Making Scale in Nursing, and Semi-Structured Interview Form.
- Being tested
- AI-supported case, Control Group
- Keywords
- nursing student, airtificial intelligence, nursing education, clinical decision
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-supported caseOther
In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence.
Control GroupOther
For students in the control group (traditional instruction group), the case analysis course will be taught by the instructor in charge using a PowerPoint presentation prepared by the researchers.
| Study group | Role | What they receive |
|---|---|---|
| Artificial Intelligence Group | Experimental | In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence. Receives: Other: AI-supported case |
| Traditional teaching group | Sham comparator | For students in the control group (traditional instruction group), the case analysis course will be taught by the instructor in charge using a PowerPoint presentation prepared by the researchers. Receives: Other: Control Group |
What is being measured
The primary outcome is the main question the study is designed to answer.
Knowledge level
The knowledge test consists of 10 multiple-choice questions with five options each. Each question is worth 10 points, and the total test score will be calculated out of 100 points.
12 Level of knowledge
Measured: 2 hours
Learning satisfaction
The Mentimeter application will be used to determine students' level of learning satisfaction. Students' learning satisfaction levels regarding the case analysis will be assessed on a 10-point scale, ranging from 0 (Strongly Disagree) to 10 (Strongly Agree).
Measured: 2 hours
Clinical decision-making skills
The Turkish validity and reliability study of the scale developed by Jenkins to measure nursing students' self-reported perceptions of clinical decision-making was conducted by Durmaz-Edeer and Sarıkaya (2015). The scale consists of four sub-dimensions and a total of 40 items: exploring options and ideas, investigating goals and values, evaluating outcomes, researching information, and adopting new information impartially. The scale is a five-point Likert type, with a total score between 40 and 200, and scores between 10 and 50 for each sub-dimension. A high score indicates a high perception of clinical decision-making among students, while a low score indicates a low perception of decision-making.
Measured: 2 hours
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted28 May 2026
- Study start18 May 2026
- Primary completion19 May 2026
- Study completion19 May 2026
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.
- 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
- Model description
- A single-blind randomized controlled trial design
- Masking
- Single blind
- Who is masked
- Participant
- Enrolment
- 42 participants (actual)
Sponsor and investigators
- Lead sponsor
- Nevsehir Haci Bektas Veli University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, AYSER DÖNER, Nevsehir Haci Bektas Veli University
- Investigators
- AYSER DÖNER, Assistant Professor, Principal investigator, Nevsehir Haci Bektas Veli University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07611383
- Sponsor's protocol ID
- NEVÜsağlıkbilimlerifakültesi
- Status last verified
- Sep 2026
- First submitted
- 5 May 2026
- Last updated
- 23 Sep 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: Only a short protocol can be shared with other researchers.
Study at a glance
From the registry record, last updated by the sponsor on 23 Sep 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Effect of AI-Supported Case Analysis on Nursing Students' Knowledge, Learning Satisfaction Levels, and Clinical Decision-Making Skills
- ClinicalTrials.gov ID
- NCT07611383
- Acronym / sponsor ID
- NEVÜsağlıkbilimlerifakültesi
- Keywords
- nursing student, airtificial intelligence, nursing education, clinical decision
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 42 participants (actual)
- Lead sponsor
- Nevsehir Haci Bektas Veli UniversityUniversity, hospital or other
- Study start
- 18 May 2026 (actual)
- Primary completion
- 19 May 2026 (actual)
- Study completion
- 19 May 2026 (actual)
- First posted
- 28 May 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.
The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills. This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research component and an interview design for the qualitative research component. The students will be divided into two groups: an intervention group (artificial intelligence) and a control group (traditional instruction).
Detailed description
The use of artificial intelligence in education offers numerous benefits to both students and educators. The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills. This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research component and an interview design for the qualitative research component. The study population will consist of 42 second-year nursing students enrolled in the Oncology Nursing elective course at the Faculty of Health Sciences during the 2025-2026 academic year. The students will be divided into two groups: an intervention group (artificial intelligence) and a control group (traditional instruction). In the study, data will be collected using the Student Information Form, Knowledge Test, Learning Satisfaction Scale, Clinical Decision-Making Scale in Nursing, and Semi-Structured Interview Form.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (participant)
- Number of arms
- 2
- Model description
- A single-blind randomized controlled trial design
| Arm | Type | Receives |
|---|---|---|
| Artificial Intelligence Group | Experimental | Other: AI-supported caseIn the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence. |
| Traditional teaching group | Sham comparator | Other: Control GroupFor students in the control group (traditional instruction group), the case analysis course will be taught by the instructor in charge using a PowerPoint presentation prepared by the researchers. |
Who may qualify
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (4 listed)
- Students who will be active second-year nursing students during the spring semester of the 2025-2026 academic year,
- Who have previously taken the theoretical course on the nursing process,
- Who own a smartphone with an internet connection,
- Who have previously prepared a patient-specific care plan for an inpatient in at least one internal medicine clinic will be included in the sample.
Key exclusion criteria (3 listed)
- Students who have not taken the elective course in oncology nursing,
- Students who have not planned care for inpatients in internal medicine clinics during their previous clinical rotations,
- Students who do not agree to participate in the study will not be included in the research
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 |
|---|---|---|
| AI-supported caseIn the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence. | Other | Artificial Intelligence Group |
| Control GroupFor students in the control group (traditional instruction group), the case analysis course will be taught by the instructor in charge using a PowerPoint presentation prepared by the researchers. | Other | Traditional teaching group |
Primary outcome
Knowledge level
Time frame: 2 hours
The knowledge test consists of 10 multiple-choice questions with five options each. Each question is worth 10 points, and the total test score will be calculated out of 100 points. 12 Level of knowledge
Learning satisfaction
Time frame: 2 hours
The Mentimeter application will be used to determine students' level of learning satisfaction. Students' learning satisfaction levels regarding the case analysis will be assessed on a 10-point scale, ranging from 0 (Strongly Disagree) to 10 (Strongly Agree).
Clinical decision-making skills
Time frame: 2 hours
The Turkish validity and reliability study of the scale developed by Jenkins to measure nursing students' self-reported perceptions of clinical decision-making was conducted by Durmaz-Edeer and Sarıkaya (2015). The scale consists of four sub-dimensions and a total of 40 items: exploring options and ideas, investigating goals and values, evaluating outcomes, researching information, and adopting new information impartially. The scale is a five-point Likert type, with a total score between 40 and 200, and scores between 10 and 50 for each sub-dimension. A high score indicates a high perception of clinical decision-making among students, while a low score indicates a low perception of decision-making.
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 23 Sep 2026.
- Individual participant dataSharing planned: No. Only a short protocol can be shared with other researchers.
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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. This study is not recruiting at the moment.
AYSER DÖNER, Assistant Professor principal investigator
Nevsehir Haci Bektas Veli University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing AI-supported case in people with Nursing Students and Artificial Intelligence (AI), run by Nevsehir Haci Bektas Veli 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 4 inclusion and 3 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: finished, as of the sponsor's last update on 23 Sep 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. Some participants in this study may receive a placebo. 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?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
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?
Knowledge level (time frame: 2 hours). The study lists 3 primary outcomes in all. 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 23 Sep 2026.