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Orientation Sessions Regarding Application of Artificial Intelligence in Obstetric Nursing: Its Effect on Maternity Students’ Knowledge and Attitude

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  • Eman Mostafa Sayed Ahmed
  • Wafaa Gomaa Abdallah Eliewa
  • Somaia Ragab Eid
  • Samah Osman Ali
  • Eman Said Abo El Ella Hassan

Abstract

Artificial intelligence (AI) is transforming healthcare and nursing education globally. Despite its growing relevance, limited research has explored how orientation sessions influence nursing students’ knowledge and attitudes toward AI, particularly in maternity care settings in Egypt. This study evaluated the effect of structured orientation sessions on maternity nursing students’ knowledge and attitudes regarding AI applications in obstetric nursing at Ain Shams and Beni Suef universities. A quasiexperimental pre–post design was conducted among convenient sample of (786) third-year maternity nursing students. Data were collected using a validated knowledge questionnaire and a Likert attitude scale before and after AI-focused orientation sessions. Sessions included interactive lectures and culturally adapted educational materials. Statistical analyses assessed within- and between-group differences. Preintervention, both groups demonstrated low-to-moderate knowledge and mixed attitudes toward AI. Postintervention, significant improvements were observed in knowledge and positive attitudes in both groups (p 

Suggested Citation

  • Eman Mostafa Sayed Ahmed & Wafaa Gomaa Abdallah Eliewa & Somaia Ragab Eid & Samah Osman Ali & Eman Said Abo El Ella Hassan, 2026. "Orientation Sessions Regarding Application of Artificial Intelligence in Obstetric Nursing: Its Effect on Maternity Students’ Knowledge and Attitude," Nursing Research and Practice, Hindawi, vol. 2026, pages 1-13, October.
    • Handle: RePEc:hin:jnlnrp:2885750
    DOI: 10.1155/nrp/2885750
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