NCT07761221

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.

Trial Health

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
164

participants targeted

Target at P75+ for not_applicable

Timeline
1mo left

Started Jan 2026

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
enrolling by invitation

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress93%
Jan 2026Aug 2026

Study Start

First participant enrolled

January 1, 2026

Completed
5 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 1, 2026

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

August 4, 2026

Completed
8 days until next milestone

First Posted

Study publicly available on registry

August 12, 2026

Completed
18 days until next milestone

Study Completion

Last participant's last visit for all outcomes

August 30, 2026

Expected
Last Updated

August 12, 2026

Status Verified

August 1, 2026

Enrollment Period

5 months

First QC Date

August 4, 2026

Last Update Submit

August 7, 2026

Conditions

Artificial Intelligence in EducationNursing Education

Keywords

Artificial intelligenceBranching path simulationNursing educationNursing studentsFirst aidMotivation

Outcome Measures

Primary Outcomes (3)

  • First aid knowledge

    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.

    "Immediately after course" and "two weeks later"

  • Learning motivation

    Assessed 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.

    Immediately after course

  • Learner satisfaction

    Assessed 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.

    Immediately after course

Study Arms (2)

Simulation group

EXPERIMENTAL

Artificial Intelligence-Based Branching Path Simulation for First Aid Education

Other: Artificial Intelligence-Based Branching Path Simulation for First Aid Education

control group

NO INTERVENTION

traditional first aid education

Interventions

Artificial Intelligence-Based Branching Path Simulation for First Aid EducationOTHER

Artificial Intelligence-Based Branching Path Simulation for First Aid Education

Simulation group

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

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

You may not qualify if:

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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Erciyes University

Kayseri, Kayseri, 38030, Turkey (Türkiye)

Location

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Purpose
OTHER
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
PhD

Study Record Dates

First Submitted

August 4, 2026

First Posted

August 12, 2026

Study Start

January 1, 2026

Primary Completion

June 1, 2026

Study Completion (Estimated)

August 30, 2026

Last Updated

August 12, 2026

Record last verified: 2026-08

Data Sharing

IPD Sharing
Will not share

Locations

TU(1)