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NCT Number: NCT07253571

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

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.

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Key information

Conditions

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

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Akdeniz University

Antalya, 07070, Turkey (Türkiye)

About this study

A comprehensive review on the use of AI in nursing education has revealed that publications in this field have rapidly increased since 2021 and that chatbots have transformative effects in enriching the learning experience. These studies indicate that AI-based learning tools are still in the early stages of development but offer significant contributions in providing active and personalized support in learning processes. AI-supported chatbots can contribute in various ways to skill-based topics such as IM and SC injection training. For example, a chatbot-based digital instructor can have the student repeat the steps of the injection step by step through questions and provide immediate feedback on correct or incorrect actions. When the student types questions such as "What should the needle length be when injecting into the deltoid region?" in the chat window, the chatbot can quickly provide information, ensuring uninterrupted learning. Another strength of AI is that it can be used as intelligent educational systems. These systems can detect errors made by the student during the application, analyze whether they have selected the correct injection site, and offer suggestions to fill in any gaps in theoretical knowledge. One of the important advantages of chatbot-supported teaching is that it provides accessibility and continuity. Students can continue learning by interacting with the chatbot even when they are outside the classroom or laboratory. For example, they can get answers to their questions or have the injection steps repeated aloud while studying individually during free time outside of school. This makes learning independent of time and place. In application-based skills such as IM and SC injections, AI and chatbots do not completely replace traditional education; however, they enhance it as a complementary and supportive learning component. For example, after receiving practical training from an instructor in class, a student can take a mini knowledge test with a chatbot at home, repeat the application steps, and analyze their weak points. Chatbot systems can analyze students' learning data (frequent mistakes, repeated questions, learning time, etc.) and provide digital feedback to the instructor. This data enables the individualization of teaching programs, the repetition of topics, and the more accurate identification of students' learning needs. For example, a student who wants to remember the steps of an IM injection can visualize the process by asking questions such as "Where is the deltoid region located?" or "Is aspiration necessary?" via a chatbot. This type of technological support offers opportunities for individualized learning, especially in crowded classrooms. In this context, AI-powered education supported by chatbots is poised to play a critical role in the future of IM and SC injection teaching in nursing. Initial findings show that these technologies increase students' self-confidence, boost learning motivation, and support retention. This study aims to use an AI-based chatbot system to teach students critical topics in IM and SC injection practices, such as infection control, anatomical site selection, proper injection technique, and complication management, through a structured and interactive scenario flow. Thus, both students' knowledge level will increase and the mental preparation process prior to psychomotor skills will be supported through virtual repetitions. At the same time, the 24/7 availability of the chatbot will allow students to progress at a pace suitable for their individual learning speeds. This will meet the need for "learner-centered individualized education," which is lacking in traditional methods.

The use of AI-based chatbot systems in nursing education, particularly in skills training, is relatively new, and studies in this area are limited. Although there are findings in the international literature that chatbots may be effective in teaching certain theoretical topics in nursing education, scientific data on the use of AI-based chatbots in the teaching of direct nursing skills (e.g., injection) is quite limited. In Turkey, there are no original studies investigating the use of AI-based chatbots in teaching basic practical skills such as injections to nursing students. The strength and originality of this study lies in the fact that AI-based chatbot systems have not yet been used in IM and SC injection training, which is very important in nursing education, in the national and international literature.

Who can participate

Healthy volunteers accepted: Yes

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

Inclusion criteria

  • Being a first-year nursing student,
  • Taking the Fundamentals of Nursing-I course for the first time,
  • Encountering the topic of intramuscular and subcutaneous injections for the first time,
  • Agreeing to participate in the research voluntarily and willingly,
  • Having a smart device and internet access to use the chatbot application regularly,
  • Committing to participate in the research process at least 80% of the time (ensuring at least 2 uses per week for 4 weeks)

Exclusion criteria

  • Having previously taken the Fundamentals of Nursing-I course or having received formal training in injection techniques
  • Being unable to participate in theoretical or practical training during the research process
  • Being unable to continue interactions with the chatbot for technical reasons
  • Incomplete research data or being unable to complete the pre-test/post-test process .

Treatment and study plan

Training of IM and SC injection skills via Chatbot

Device

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.

Primary outcomes

  1. Objective Structured Clinical Examination score

    Time frame: A week after IM and SC injections training in control group; a week and a month after IM and SC training in study group

    The exam will be administered for psychomotor skill assessment. The Objective Structured Clinical Examination, an approach used to evaluate clinical skill performance, is a valid strategy used to assess students' readiness to perform the expected practices and skills at the required level during clinical practice. In this study, students will undergo one Objective Structured Clinical Examination each for subcutaneous and intramuscular injection ("Intramuscular Injection into the Ventrogluteal Region" and "Subcutaneous Injection into the Upper Arm Region"). Each application will be worth 50 points (Min.=0, Max.=50). Students will be considered successful if they receive a total score of 60 or above from the two procedures. Students will be considered insuccessful if they receive a total score of 40 or under from the two procedures.

  2. Clinically Oriented Reasoning Exam score

    Time frame: A week after IM and SC injections training in control group; a week and a month after IM and SC training in study group

    The exam will be administered to assess clinical reasoning skills. This assessment method, designed to evaluate clinical reasoning and decision-making, is called the "Clinically Oriented Reasoning Exam." Clinically Oriented Reasoning Exam consists of scenarios based on problems that students may encounter in real clinical settings. Clinically Oriented Reason is an exam administered in stations containing written scenarios. The exam begins at the first station with the description of a clinically oriented written problem. The student is presented with alternative options to follow regarding this described problem. The student is asked to carefully examine the details and evaluate each of these options separately to reach a conclusion regarding their accuracy. The student has the right to choose more than one option at a station. Students can take scores Min.=0 and Max.=50. Total score of 50 is good in terms of clinically oriented reasoning of students.

  3. Subcutaneous and Intramuscular Injection Theoretical Knowledge Pre-Test

    Time frame: Before IM and SC injections training in control and study groups.

    The test, prepared with reference to the literature, consists of a total of 10 questions on subcutaneous (5 questions) and intramuscular (5 questions) injection techniques. Each question is worth 10 points, and students who score 60 points or above on the test will be considered successful. Expert opinions will be obtained from a total of 5 experts in the field of Nursing Fundamentals to ensure the suitability of the knowledge test.

  4. Subcutaneous and Intramuscular Injection Theoretical Knowledge Post-Test

    Time frame: A week after IM and SC injections training in control and study groups; a month after IM and SC training in only study group.

    The test, prepared with reference to the literature, consists of a total of 10 questions on subcutaneous (5 questions) and intramuscular (5 questions) injection techniques. Each question is worth 10 points, and students who score 60 points or above on the test will be considered successful. Expert opinions will be obtained from a total of 5 experts in the field of Nursing Fundamentals to ensure the suitability of the knowledge test.

  5. Productive Artificial Intelligence Usage and Competence Scale Score

    Time frame: A month after IM and SC injections training in only study group.

    The scale consists of two factors and 19 items. The first factor measures Artificial Intelligence Usage Competence and includes items 1-2-3-4-5-6-7-8-9-10. The second factor measures Artificial Intelligence-Supported Learning Motivation and includes items 11-12-13-14-15-16-17-18-19. Items 7-17 and 18 on the scale are reverse-coded. The scale is a five-point Likert scale, and responses are scored as follows: 1-does not reflect at all, 2-reflects a little, 3-reflects moderately, 4-reflects a lot, 5-reflects completely. Scores obtained from the scale are interpreted as follows: 19-34 Very low level of AI use and proficiency, 35-49 Low level of AI use and proficiency, 50-64 Moderate level of AI use and proficiency, 65-79 High level of AI use and proficiency, and 80 - 95 Very high level of artificial intelligence use and proficiency. The Cronbach Alpha reliability coefficient of the scale is 0.83.

Study contacts

Contact information is provided by the study sponsor or research team.

Banu Terzi, Assoc. Prof.

CONTACT

[email protected]

+90 532 776 82 34

Sponsors and collaborators

Lead sponsor

Akdeniz University

Other

Registry information

Official study title

The Effect of Artificial Intelligence-Supported Intramuscular and Subcutaneous Injection Training on Knowledge, Reasoning, and Skill Development in Nursing Students: A Quasi-Experimental Study

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
Nov 28, 2025
Registry last updated
Dec 3, 2025

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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