AI-Supported Case Analysis Among Nursing Students
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
AgeNot listed
SponsorTC Erciyes University
About this trial
The aim of this study is to determine the effect of AI-supported internal medicine nursing case analysis on students' case management performance, learning outcomes, learning experience, clinical self-efficacy, and cognitive load levels. This study will be conducted using a single-blind randomized controlled trial design for the quantitative research and an individual interview design for the qualitative research. Students will be randomly assigned to either the intervention (artificial intelligence) or control (case analysis) group.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Students who are active fourth-year nursing students during the spring semester of the 2025-2026 academic year,
Have previously taken the theoretical course on the nursing process,
Own a cell phone with an internet connection,
And 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 course,
Students who have never participated in case-based learning sessions,
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
Case Analysis
Other interventionThe case analysis will be made through the presentation prepared by the students in the group.
AI-supported case
Other interventionIn the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence
Treatment groups
40 Participants
are divided into 2 treatment groupsGroup A: Artificial Intelligence GroupExperimental treatment 1 intervention
Group B: Case Analysis GroupActive comparator 1 intervention
Trial outcomes
Primary outcomes
1
Achievement Test
Achievement Test: The achievement test, created by the researchers, will consist of questions related to the case study and will be scored out of a total of 100 points to determine the impact of the case analysis on students' knowledge level.
Time frame
3 hours2
Learning Experience, Perceived Learning Outcomes, and Clinical Self-Efficacy
Learning Experience, Perceived Learning Outcomes, and Clinical Self-Efficacy: The Mentimeter application will be used to determine students' interest, motivation, learning participation, perceived learning outcome, and clinical self-efficacy levels. Students' satisfaction and motivation levels regarding the case analysis method will be determined on a 10-point scale ranging from 0-Strongly Disagree to 10-Strongly Agree. At the end of the study, each category will be evaluated based on an average value.
Time frame
3 hoursSecondary outcomes
1
Scale of Different Types of Cognitive Load
Scale of Different Types of Cognitive Load: To assess the mental effort and burden experienced by students during the case analysis process, the scale developed by Leppink et al. (2013) will be used. The scale consists of three sub-dimensions. It comprises a total of 10 items and a 10-point rating scale from 1 (very low) to 10 (very high). Higher scores represent higher levels of cognitive load. The Turkish validity and reliability study of the scale was conducted by Türel and Alpsülün (2025).
Time frame
3 hoursSponsors and contacts
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Source ClinicalTrials.gov
This trial is not recruiting at the moment. You can still explore other options: