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Advancing Nursing Education: Evaluating Artificial Intelligence (AI) and Escape Room (ER) Approaches for E-Learning and Interpretation Skills

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  • Azin Salimi
  • Masoumeh Nouri
  • Amirreza Moradi
  • Alireza Vasiee

Abstract

IntroductionThe spread of new educational technologies has challenged the cold and inflexible framework of traditional education, aiming to replace centuries-old methods with short, low-cost methods to improve learning and educational productivity. Thus, this study aimed to compare the effects of artificial intelligence (AI) and escape rooms (ERs) on e-learning satisfaction and the skill of arterial blood gas (ABG) interpretation in nursing students.Materials and MethodsThe current study was conducted as a quasi-experiment on 91 nursing students in the third to sixth academic semesters, with a convenient sampling approach to AI, ER, and control groups by balanced block randomization. In the AI group, participants used ChatGPT; the ER group used the Twine platform; and the control group used the traditional method once a week. The E-learning satisfaction scale (ELSS) and arterial blood gas interpretation scale (ABGIS) were filled before and two weeks after the end of interventions. Data were analyzed using descriptive and inferential statistical tests in SPSS V.25 at a 0.05 significance level.ResultsIn comparison to ER and control, AI significantly enhanced e-learning satisfaction and ABG interpretation (p

Suggested Citation

  • Azin Salimi & Masoumeh Nouri & Amirreza Moradi & Alireza Vasiee, 2026. "Advancing Nursing Education: Evaluating Artificial Intelligence (AI) and Escape Room (ER) Approaches for E-Learning and Interpretation Skills," Nursing Research and Practice, Hindawi, vol. 2026, pages 1-10, April.
    • Handle: RePEc:hin:jnlnrp:8869482
    DOI: 10.1155/nrp/8869482
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