Effect of AI-Supported Case Analysis on Nursing Students
The Effect of AI-Supported Case Analysis on Nursing Students' Knowledge, Learning Satisfaction Levels, and Clinical Decision-Making Skills
1 other identifier
interventional
42
0 countries
N/A
Brief 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. 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).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started May 2026
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 5, 2026
CompletedStudy Start
First participant enrolled
May 25, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 25, 2026
CompletedFirst Posted
Study publicly available on registry
May 28, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
May 30, 2026
CompletedMay 28, 2026
May 1, 2026
Same day
May 5, 2026
May 22, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
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
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).
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.
2 hours
Study Arms (2)
Artificial Intelligence Group
EXPERIMENTALIn the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence.
Traditional teaching group
SHAM COMPARATORFor 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.
Interventions
In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence.
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.
Eligibility Criteria
You may qualify if:
- 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.
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
AYSER DÖNER, Assistant Professor
Nevsehir Haci Bektas Veli University
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
May 5, 2026
First Posted
May 28, 2026
Study Start
May 25, 2026
Primary Completion
May 25, 2026
Study Completion
May 30, 2026
Last Updated
May 28, 2026
Record last verified: 2026-05
Data Sharing
- IPD Sharing
- Will not share
Only a short protocol can be shared with other researchers.