Effect of AI-Supported Case Analysis on Nursing Students
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
AgeNot listed
SponsorNevsehir Haci Bektas Veli University
About this trial
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).
Eligibility criteria
This trial accepts healthy volunteersQualifiers
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.
Disqualifiers
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 design
Design model
Parallel
Treatments tested in this trial
AI-supported case
Other interventionIn the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence.
Control Group
Other interventionFor 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.
Treatment groups
42 Participants
are divided into 2 treatment groupsGroup A: Artificial Intelligence GroupExperimental treatment 1 intervention
Group B: Traditional teaching groupSham comparator 1 intervention
Trial outcomes
Primary outcomes
1
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
Time frame
2 hours2
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).
Time frame
2 hours3
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.
Time frame
2 hoursLocations
Sponsors and contacts
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Source ClinicalTrials.gov
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