The Effect of Artificial Intelligence-Supported Intramuscular and Subcutaneous Injection Training on Nursing Students

Summary

The complexity of healthcare services and technological advances today have necessitated the adoption of innovative approaches in nursing education. Among these innovative approaches, artificial intelligence (AI) has established itself as a technology that is increasingly present in nursing education processes, offering a supportive, personalized, and interactive learning experience. AI's contributions to nursing students' acquisition of fundamental competencies such as clinical decision-making, skill development, and critical thinking are rapidly increasing. Especially in high-risk, invasive, and clinically skill-intensive applications, AI-supported educational models both enhance learning quality and support patient safety. Intramuscular and subcutaneous injections are among the basic invasive skills that nursing students must learn. These applications require a high level of cognitive and psychomotor competence from students. Incorrect injection practices can lead to complications such as drug absorption problems, nerve damage, hematoma, or infection, making it critically important to teach these skills correctly and safely. In this context, AI-supported education systems stand out as an effective tool for teaching injection skills. Artificial intelligence-based chatbots provide students with both theoretical knowledge and practical guidance. For example, before injecting a muscle group, a student can learn about the anatomy of the muscle, determine the correct angle, and remember precautions against potential complications through the chatbot. Artificial intelligence also reinforces the learning process by instantly answering students' questions, preventing the acquisition of incorrect information. Recent studies emphasize that AI-supported learning tools positively influence students' attitudes toward learning, increasing their motivation and academic satisfaction levels. Accordingly, the integration of AI-based technologies in the process of training future nurses is no longer an option but a necessity. Particularly in complex and delicate skills such as intramuscular and subcutaneous injections, AI-supported chatbots can facilitate student learning, increase skill accuracy, and support clinical safety. Therefore, it is crucial for nursing education programs to combine artificial intelligence technologies with pedagogical foundations to provide student-centered, safe, and effective learning environments.

Conditions

• AI Chatbot
• Nursing Education
• AI (Artificial Intelligence)
• Nursing Skills
• IM Injection
• OSCE (Objective Structured Clinical Examination)
• Clinical Reasoning

Interventions

DEVICE

Training of IM and SC injection skills via Chatbot

The chatbot software to be used in this study will operate through the API service of ChatGPT, a generative artificial intelligence language model developed by OpenAI. The chatbot will be designed to support nursing students' theoretical knowledge, reasoning, and practical skills in intramuscular and subcutaneous injection training. The chatbot will be specifically fed with scientific content, teaching materials, and documents provided by faculty members related to injection practices; consistent, educational, and structured interaction with users will be provided through a specially developed behavioral prompt based on this content. Thus, the chatbot will function not only as a system providing general information but also as a customized guide tailored to the educational objectives defined within the scope of the study. The software will be accessible at least twice a week during the training period, able to answer questions frequently encountered by students.

Sponsors & Collaborators

• Akdeniz University

  lead OTHER

Study Design

Allocation

NON_RANDOMIZED

Purpose

HEALTH_SERVICES_RESEARCH

Masking

DOUBLE

Model

PARALLEL

Eligibility

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2025-12-15

Primary Completion

2026-03-15

Completion

2026-10-15

Countries

• Turkey (Türkiye)

Study Locations