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NCT Number: NCT07761221

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

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.

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Key information

Conditions

Artificial Intelligence in Education Nursing Education

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Erciyes University

Kayseri, 38030, Turkey (Türkiye)

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Artificial Intelligence-Based Branching Path Simulation for First Aid Education

Other

Artificial Intelligence-Based Branching Path Simulation for First Aid Education

Primary outcomes

  1. First aid knowledge

    Time frame: "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.

  2. Learning motivation

    Time frame: Immediately after course

    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.

  3. Learner satisfaction

    Time frame: Immediately after course

    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.

Sponsors and collaborators

Lead sponsor

TC Erciyes University

Other

Registry information

Official study title

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

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
Aug 12, 2026
Registry last updated
Aug 12, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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