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

Azin Salimi, Masoumeh Nouri, Amirreza Moradi and Alireza Vasiee

Nursing Research and Practice, 2026, vol. 2026, 1-10

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

Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/nrp/2026/8869482.pdf (application/pdf)
http://downloads.hindawi.com/journals/nrp/2026/8869482.xml (application/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlnrp:8869482

DOI: 10.1155/nrp/8869482

Access Statistics for this article

More articles in Nursing Research and Practice from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().