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The Effect of an Artificial Intelligence-Based Branching Path Simulation for First Aid Education on Nursing Students' Knowledge, Satisfaction, and Motivation

The Effect of an Artificial Intelligence-Based Branching Path Simulation for First Aid Education on Nursing Students' Knowledge, Satisfaction, and Motivation: A Randomized Controlled Trial

Status
Enrolling by invitation
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07761221
Enrollment
164
Registered
2026-08-12
Start date
2026-01-01
Completion date
2026-08-30
Last updated
2026-08-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Artificial Intelligence in Education, Nursing Education

Keywords

Artificial intelligence, Branching path simulation, Nursing education, Nursing students, First aid, Motivation

Brief summary

Background: Rapid advancements in educational technology are necessitating a renewal of teaching approaches in nursing education. Artificial intelligence-based branching-path simulations, which allow students to make choices at decision points and see the outcome of their choices through instant feedback, are emerging as a new teaching tool that can facilitate students' active participation in clinical decision-making processes. Objectives: This study was conducted to evaluate the effect of an AI-based branching-path simulation on nursing students' level of knowledge regarding first aid for injuries, course satisfaction, and learning motivation. Methods: This study was conducted as a randomized controlled trial. The study was completed at the nursing department of a public university with the participation of 164 first-year nursing students (intervention group n=84, control group n=80). Students in the intervention group were administered an AI-based branching-path simulation consisting of three modules-penetrating abdominal injury, head trauma, and penetrating chest injury-following the first aid course for injuries, while students in the control group were trained using traditional question-and-answer and case discussion methods at the end of the same course. Data were collected using a student information form, a knowledge test developed by the researchers, and a course content evaluation form.

Interventions

OTHERArtificial Intelligence-Based Branching Path Simulation for First Aid Education

Artificial Intelligence-Based Branching Path Simulation for First Aid Education

Sponsors

TC Erciyes University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* To be in the first year of nursing school * To have a mobile phone with an internet connection

Exclusion criteria

* Having previously received first aid training for injuries * refusing to participate in the study

Design outcomes

Primary

MeasureTime frameDescription
First aid knowledge"Immediately after course" and "two weeks later"First aid knowledge levels were evaluated using a knowledge test. Developed by researchers based on first aid course content for injuries, this test consists of 10 multiple-choice questions with four options each. Each question is worth 10 points, and the test is scored out of 100 points.
Learning motivationImmediately after courseAssessed using the Course Content Evaluation Form (0-10 numeric rating scale), designed to evaluate the first aid course and educational material used. Instructions specified that ratings reflected the material/method, not the instructor.
Learner satisfactionImmediately after courseAssessed using the Course Content Evaluation Form (0-10 numeric rating scale), designed to evaluate the first aid course and educational material used. Instructions specified that ratings reflected the material/method, not the instructor.

Countries

Turkey (Türkiye)

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 13, 2026