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AI-assisted concept mapping enhances orthopaedic nursing students' critical thinking: A quasi-experimental study
Satik Sutthiviriwan1, Nuntawat Pinyo1, Khwanchit Kuptanont1
1Faculty of Nursing, Srinakharinwirot University, Nakhon Nayok, Thailand.
International Journal of Orthopaedic and Trauma Nursing
|July 21, 2026
Summary
Artificial intelligence-assisted concept mapping significantly improved critical thinking skills in undergraduate orthopaedic nursing students, enhancing their ability to manage complex clinical information.
Area of Science:
- Nursing Education
- Health Professions Education
- Artificial Intelligence in Education
Background:
- Critical thinking (CT) is vital for orthopaedic nurses in patient assessment and care.
- Concept mapping (CMAP) aids structured clinical reasoning.
- Artificial intelligence (AI) offers potential for enhancing learning in nursing education, but evidence is limited.
Purpose of the Study:
- To assess the impact of an AI-assisted CMAP program on critical thinking (CT) in undergraduate orthopaedic nursing students.
Main Methods:
- A quasi-experimental pretest-posttest design with two groups was used.
- The experimental group utilized AI-assisted CMAP (ChatGPT), while the control group received standard instruction.
- Critical thinking was measured using a validated CMAP-based assessment tool before and after the intervention.
Main Results:
- The experimental group showed a significant increase in CT scores compared to the control group.
- Mean CT scores rose from 2.40 to 2.97 in the AI-assisted CMAP group.
- Students reported high satisfaction with the AI-assisted CMAP program.
Conclusions:
- AI-assisted CMAP can enhance critical thinking and clinical reasoning in orthopaedic nursing education.
- Integrating AI into concept mapping offers an effective pedagogical strategy for complex clinical information management.
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