International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Original Research | Nursing | Volume 15 Issue 7, July 2026 | Pages: 698 - 703 | India


Improving Artificial Intelligence Literacy Among Student Nurses: Through Structured Education

Suganya V, Savita Hebbal, Gayathri H N, Naveen Kumar MR

Abstract: Artificial Intelligence (AI) is rapidly transforming healthcare and nursing practice by enhancing clinical decision-making, patient care, and healthcare management. Preparing nursing students with adequate knowledge of AI is essential to ensure their readiness for technology-enabled healthcare. Structured educational interventions may improve students' understanding and acceptance of AI in nursing. To evaluate the effectiveness of a structured teaching programme on the knowledge of Artificial Intelligence among student nurses. A pre-experimental one-group pre-test?post-test study was conducted among 507 student nurses selected using a convenience sampling technique. Baseline knowledge regarding Artificial Intelligence was assessed using a structured questionnaire, followed by the implementation of a structured teaching programme. A post-test was conducted using the same instrument to evaluate the changes in knowledge. Descriptive and inferential statistics were used to summarize participants' knowledge levels before and after the intervention. In the pre-test, 84 (16.6%) participants demonstrated excellent knowledge, 64 (12.6%) had adequate knowledge, 239 (47.1%) had moderate knowledge, and 120 (23.7%) had inadequate knowledge regarding Artificial Intelligence. Following the structured teaching programme, the proportion of participants with excellent knowledge increased markedly to 333 (65.8%), while 82 (16.2%) had adequate knowledge. The proportion of participants with moderate knowledge decreased to 91 (17.9%), and those with inadequate knowledge declined to 1 (0.1%). The mean of pre-test is 16.05 and post-test is 21.83 and SD of pre-test is 5.0622 and post-test is 3.3344. The paired ?t? test value is 116.086. These findings indicate a substantial improvement in knowledge after the educational intervention. Hence the structured teaching programme effectively enhanced knowledge of Artificial Intelligence among student nurses. Incorporating AI-related educational content into undergraduate nursing curricula may improve digital competence and better prepare future nurses to work in increasingly technology-driven healthcare environments.

Keywords: Artificial Intelligence, Student Nurses, Nursing Education, Structured Teaching Programme, Knowledge, Educational Intervention

How to Cite?: Suganya V, Savita Hebbal, Gayathri H N, Naveen Kumar MR, "Improving Artificial Intelligence Literacy Among Student Nurses: Through Structured Education", Volume 15 Issue 7, July 2026, International Journal of Science and Research (IJSR), Pages: 698-703, https://www.ijsr.net/getabstract.php?paperid=SR26708131000, DOI: https://dx.doi.org/10.21275/SR26708131000

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